Dit Yan YEUNG
楊瓞仁
PhD in Computer Science
University of Southern California, 1989

Head and Chair Professor
Department of Computer Science and Engineering



(852) 2358 6977
dyyeung@ust.hk
Room 3531
Personal Web

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Google Scholar
nEsOOx8AAAAJ

ORCID
0000-0003-3716-8125

Scopus ID
7103391392




Research Interest Publications Projects Teaching Assignment RPG Supervision Space used




Research Interest

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Artificial intelligence
Computer vision
Machine learning



Publications

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All Years 220 2022 0 2021 4 2020 3 2019 7 2018 4 2017 10 2016 192

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2021 4

Deep learning and the weather forecasting problem -- precipitation nowcasting
Deep learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science and Geosciences / Edited by Gustau Camps-Valls, Devis Tuia, Xiao Xiang Zhu, Markus Reichstein. USA : John Wiley and Sons Ltd, 2021, p. 218-239, Ch. 15
Gao, Zhihan; Shi, Xingjian; Wang, Hao; Yeung, Dit Yan; Woo, Wang-chun; Wong, Wai-Kin Book chapter
Clickstream knowledge tracing: Modeling how students answer interactive online questions
ACM International Conference Proceeding Series, April 2021, p. 99-109
Chan, Wai Lun; Yeung, Dit Yan Conference paper
MODALS: Modality-agnostic automated data augmentation in the latent space
Ninth International Conference on Learning Representations (ICLR 2021), Virtual Conference, 4-8 May 2021
Cheung, Tsz Him; Yeung, Dit Yan Conference paper
Probing Toxic Content in Large Pre-trained Language Models
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, v. 1, 2021, p. 4262-4274
Ousidhoum, Nedjma Djouhra; Zhao, Xinran; Fang, Tianqing; Song, Yangqiu; Yeung, Dit Yan Conference paper

2020 3

A Survey on Bayesian Deep Learning
ACM Computing Surveys, v. 53, (5), October 2020, article number 108
Wang, Hao; Yeung, Dit Yan Article
Comparative Evaluation of Label-Agnostic Selection Bias in Multilingual Hate Speech Datasets
Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), November 2020, p. 2532-2542
Ousidhoum, Nedjma Djouhra; Song, Yangqiu; Yeung, Dit Yan Conference paper
Learning Accurate Objectness Instance Segmentation from Photorealistic Rendering for Robotic Manipulation
Proceedings of the 2018 International Symposium on Experimental Robotics / Jing Xiao, Torsten Kr?ger, Oussama Khatib (Editors). Switzerland : Springer Nature, 2020, p. 245-255, Book series: Springer Proceedings in Advanced Robotics, v. 11
Li, Siyi; Zhou, Jiaji; Jia, Zhenzhong; Yeung, Dit Yan; Mason, Matthew Conference paper

2019 7

Incorporating features learned by an enhanced deep knowledge tracing model for STEM/non-STEM job prediction
International Journal of Artificial Intelligence in Education, v. 29, (3), August 2019, p. 317-341
Yeung, Chun Kit; Yeung, Dit Yan Article
Point-Cloud-Based Place Recognition Using CNN Feature Extraction
IEEE Sensors Journal, v. 19, (24), December 2019, article number 8815832, p. 12175-12186
Sun, Ting; Liu, Ming; Ye, Haoyang; Yeung, Dit Yan Article
Effective Feature Learning with Unsupervised Learning for Improving the Predictive Models in Massive Open Online Courses
ACM International Conference Proceeding Series, March 2019, p. 135-144
Ding, Mucong; Yeung, Dit Yan; Yang, Kai; Pong, Ting Chuen Conference paper
Knowledge Query Network for Knowledge Tracing: How Knowledge Interacts With Skills
ACM International Conference Proceeding Series, March 2019, p. 491-500
Lee, Jinseok; Yeung, Dit Yan Conference paper
Marginalized Average Attentional Network for Weakly-supervised Learning
7th International Conference on Learning Representations, ICLR 2019, New Orleans, Louisiana, USA, 6 - 9 May 2019
Yuan, Yuan; Lyu, Yueming; Shen, Xi; Tsang, Ivor W.; Yeung, Dit Yan Conference paper
Multilingual and Multi-Aspect Hate Speech Analysis
EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference, 2019, p. 4675-4684
Ousidhoum, Nedjma Djouhra; Lin, Zizheng; Zhang, Hongming; Song, Yangqiu; Yeung, Dit Yan Conference paper
Semi-semantic Line-Cluster Assisted Monocular SLAM for Indoor Environments
International Conference on Computer Vision Systems, 2019, p. 63-74, Part of the Lecture Notes in Computer Science book series (LNCS, volume 11754)
Sun, Ting; Song, Dezhen; Yeung, Dit Yan; Liu, Ming Conference paper

2018 4

Addressing Two Problems in Deep Knowledge Tracing via Prediction-Consistent Regularization
Proceedings of the 5th Annual ACM Conference on Learning at Scale, L at S 2018, June 2018, article number 5
Yeung, Chun Kit; Yeung, Dit Yan Conference paper
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs
34th Conference on Uncertainty in Artificial Intelligence 2018, UAI 2018, v. 1, 2018, p. 339-349
Zhang, Jiani; Shi, Xingjian; Xie, Junyuan; Ma, Hao; King, Irwin; Yeung, Dit Yan Conference paper
Incorporating features learned by an enhanced deep knowledge tracing model for STEM/non-STEM job prediction
The Eleventh International Conference on Educational Data Mining (EDM), Buffalo, NY, USA, 15-18 July 2018
Yeung, Chun Kit; Lin, Zizheng; Yang, Kai; Yeung, Dit Yan Conference paper
Learning unmanned aerial vehicle control for autonomous target following
IJCAI International Joint Conference on Artificial Intelligence, v. 2018-July, 2018, p. 4936-4942
Li, Siyi; Liu, Tianbo; Zhang, Chi; Yeung, Dit Yan; Shen, Shaojie Conference paper

2017 10

Fine-grained categorization via CNN-based automatic extraction and integration of object-level and part-level features
Image and Vision Computing, v. 64, August 2017, p. 47-66
Sun, Ting; Sun, Lin; Yeung, Dit Yan Article
Deep Learning for Precipitation Nowcasting: A Benchmark and a New Model
Advances in Neural Information Processing Systems, v. 30, 2017, p. 5618-5628
Shi, Xingjian; Gao, Zhihan; Lausen, Leonard Elias; Wang, Hao; Yeung, Dit Yan; Wong, W.-K.; Woo, W.-C. Conference paper
Dynamic Key-Value Memory Networks for Knowledge Tracing
Proceedings of the 26th International Conference on World Wide Web, April 2017, article number 3052580, p. 765-774
Zhang, Jiani; Shi, Xingjian; King, Irwin; Yeung, Dit Yan Conference paper
Gesture-based piloting of an aerial robot using monocular vision
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, July 2017, article number 7989696, p. 5913-5920, 2017 IEEE International Conference on Robotics and Automation (ICRA 2017) - Innovation, Entrepreneurship, and Real-world Solutions
Sun, Ting; Nie, Shengyi; Yeung, Dit Yan; Shen, Shaojie Conference paper
Lattice long short-term memory for human action recognition
Proceedings of the IEEE International Conference on Computer Vision, December 2017, article number 8237498, p. 2166-2175
Sun, Lin; Jia, Kui; Chen, Kevin; Yeung, Dit Yan; Shi, Bertram Emil; Savarese, Silvio Conference paper
Relational Deep Learning: a Deep Latent Variable Model for Link Prediction
Proceedings of the AAAI Conference on Artificial Intelligence, v. 31, (1), 2017, article number 10805, p. 2688-2694, 31st AAAI Conference on Artificial Intelligence, AAAI 2017
Wang, Hao; Shi, Xingjian; Yeung, Dit Yan Conference paper
Sparse Boltzmann Machines With Structure Learning as Applied to Text Analysis
Proceedings of the AAAI Conference on Artificial Intelligence, v. 31, (1), 2017, article number 10773, p. 1805-1811
Chen, Zhourong; Zhang, Nevin Lianwen; Yeung, Dit Yan; Chen, Peixian Conference paper
Spatiotemporal Modeling for Crowd Counting in Videos
Proceedings of the IEEE International Conference on Computer Vision, December 2017, article number 8237813, p. 5161-5169
Xiong, Feng; Shi, Xingjian; Yeung, Dit Yan Conference paper
Temporal dynamic graph LSTM for action-driven video object detection
Proceedings of the Sixteenth IEEE International Conference on Computer Vision, December 2017, article number 8237462, p. 1819-1828
Yuan, Yuan; Liang, Xiaodan; Wang, Xiaolong; Yeung, Dit Yan; Gupta, Abhinav Conference paper
Visual Object Tracking for Unmanned Aerial Vehicles: a Benchmark and New Motion Models
Proceedings of the AAAI Conference on Artificial Intelligence, v. 31, (1), 2017, article number 11205, p. 4140-4146, AAA1-17
Li, Siyi; Yeung, Dit Yan Conference paper

2016 6

Spectral Multimodal Hashing and Its Application to Multimedia Retrieval
IEEE Transactions on Cybernetics, v. 46, (1), January 2016, article number 7163570, p. 27-38
Zhen, Yi; Gao, Yue; Yeung, Dit Yan; Zha, Hongyuan; Li, Xuelong Article
Towards Bayesian Deep Learning: A Framework and Some Existing Methods
IEEE Transactions on Knowledge and Data Engineering, v. 28, (12), December 2016, article number 7562516, p. 3395-3408
Wang, Hao; Yeung, Dityan Article
Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks
Advances in Neural Information Processing Systems, 2016, p. 415-423
Wang, Hao; Shi, Xingjian; Yeung, Dit Yan Conference paper
Natural parameter networks: a class of probabilistic neural networks
Advances in Neural Information Processing Systems 29 (NIPS 2016), Edited by D.D. Lee, M. Sugiyama, U.V. Luxburg, I. Guyon, R. Garnett. , 2016
Wang, Hao; Shi, Xingjian; Yeung, Dit Yan Conference paper
Natural-Parameter Networks: A Class of Probabilistic Neural Networks
Advances in Neural Information Processing Systems, 2016, p. 118-126
Wang, Hao; Shi, Xingjian; Yeung, Dit Yan Conference paper
The Visual Object Tracking VOT2016 Challenge Results
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 9914 LNCS, 2016, p. 777-823
Kristan, Matej; Leonardis, Ales; Matas, Jiri; Felsberg, Michael; Pflugfelder, Roman; Cehovin, Luka; Vojir, Tomas; Hager, Gustav; Lukezic, Alan; Fernandez, Gustavo; Gupta, Abhinav; Petrosino, Alfredo; Memarmoghadam, Alireza; Garcia-Martin, Alvaro; Montero, Andres Solis; Vedaldi, Andrea; Robinson, Andreas; Ma, Andy J.; Varfolomieiev, Anton; Alatan, Aydin; Erdem, Aykut; Ghanem, Bernard; Liu, Bin; Han, Bohyung; Martinez, Brais; Chang, Chang-Ming; Xu, Changsheng; Sun, Chong; Kim, Daijin; Chen, Dapeng; Du, Dawei; Mishra, Deepak; Yeung, Dit-Yan; Gundogdu, Erhan; Erdem, Erkut; Khan, Fahad; Porikli, Fatih; Zhao, Fei; Bunyak, Filiz; Battistone, Francesco; Zhu, Gao; Roffo, Giorgio; Subrahmanyam, Gorthi R. K. Sai; Bastos, Guilherme; Seetharaman, Guna; Medeiros, Henry; Li, Hongdong; Qi, Honggang; Bischof, Horst; Possegger, Horst; Lu, Huchuan; Lee, Hyemin; Nam, Hyeonseob; Chang, Hyung Jin; Drummond, Isabela; Valmadre, Jack; Jeong, Jae-chan; Cho, Jae-il; Lee, Jae-Yeong; Zhu, Jianke; Feng, Jiayi; Gao, Jin; Choi, Jin Young; Xiao, Jingjing; Kim, Ji-Wan; Jeong, Jiyeoup; Henriques, Joao F.; Lang, Jochen; Choi, Jongwon; Martinez, Jose M.; Xing, Junliang; Gao, Junyu; Palaniappan, Kannappan; Lebeda, Karel; Gao, Ke; Mikolajczyk, Krystian; Qin, Lei; Wang, Lijun; Wen, Longyin; Bertinetto, Luca; Rapuru, Madan Kumar; Poostchi, Mahdieh; Maresca, Mario; Danelljan, Martin; Mueller, Matthias; Zhang, Mengdan; Arens, Michael; Valstar, Michel; Tang, Ming; Baek, Mooyeol; Khan, Muhammad Haris; Wang, Naiyan; Fan, Nana; Al-Shakarji, Noor; Miksik, Ondrej; Akin, Osman; Moallem, Payman; Senna, Pedro; Torr, Philip H. S.; Yuen, Pong C.; Huang, Qingming; Martin-Nieto, Rafael; Pelapur, Rengarajan; Bowden, Richard; Laganiere, Robert; Stolkin, Rustam; Walsh, Ryan; Krah, Sebastian B.; Li, Shengkun; Zhang, Shengping; Yao, Shizeng; Hadfield, Simon; Melzi, Simone; Lyu, Siwei; Li, Siyi; Becker, Stefan; Golodetz, Stuart; Kakanuru, Sumithra; Choi, Sunglok; Hu, Tao; Mauthner, Thomas; Zhang, Tianzhu; Pridmore, Tony; Santopietro, Vincenzo; Hu, Weiming; Li, Wenbo; Huebner, Wolfgang; Lan, Xiangyuan; Wang, Xiaomeng; Li, Xin; Li, Yang; Demiris, Yiannis; Wang, Yifan; Qi, Yuankai; Yuan, Zejian; Cai, Zexiong; Xu, Zhan; He, Zhenyu; Chi, Zhizhen Conference paper

2015 11

Instance-Specific Canonical Correlation Analysis
Neurocomputing, v. 155, May 2015, p. 205-218
Zhai, Deming; Zhang, Yu; Yeung, Dit Yan; Chang, Hong; Chen, Xilin; Gao, Wen Article
Bayesian Adaptive Matrix Factorization with Automatic Model Selection
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, v. 07-12-June-2015, October 2015, article number 7298733, p. 1284-1292
Chen, Peixian; Wang, Naiyan; Zhang, Nevin Lianwen; Yeung, Dit Yan Conference paper
Collaborative Deep Learning for Recommender Systems
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, v. 2015-August, August 2015, p. 1235-1244
Wang, Hao; Wang, Naiyan; Yeung, Dit Yan Conference paper
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Advances in Neural Information Processing Systems, v. 2015-January, 2015, p. 802-810
Shi, Xingjian; Chen, Zhourong; Wang, Hao; Yeung, Dit Yan; Wong, Wai Kin; Woo, Wangchun Conference paper
DevNet: A Deep Event Network for Multimedia Event Detection and Evidence Recounting
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015), Institute of Electrical and Electronics Engineers (IEEE), 2015, p. 2568-2577
Gan, Chuang; Wang, Naiyan; Yang, Yi; Yeung, Dit Yan; Hauptmann, Alexander G. Conference paper
Human Action Recognition Using Factorized Spatio-temporal Convolutional Networks
Proceedings: 2015 IEEE International Conference on Computer Vision (ICCV 2015), IEEE, 2015, p. 4597-4605
Sun, Lin; Jia, Kui; Yeung, Dit Yan; Shi, Bertram Emil Conference paper
Probabilistic Graphical Models for Boosting Cardinal and Ordinal Peer Grading in MOOCs
Proceedings of the AAAI Conference on Artificial Intelligence, v. 29, (1), 2015, article number 9210, p. 454-460
Mi, Fei; Yeung, Dit Yan Conference paper
Relational stacked denoising autoencoder for tag recommendation
Proceedings of the AAAI Conference on Artificial Intelligence, v. 29, (1), 2015, article number 9548, p. 3052-3058
Wang, Hao; Shi, Xingjian; Yeung, Dit Yan Conference paper
Temporal Models for Predicting Student Dropout in Massive Open Online Courses
2015 IEEE International Conference on Data Mining Workshop (ICDMW 2015), Institute of Electrical and Electronics Engineers (IEEE), 2015, p. 256-263
Mi, Fei; Yeung, Dit Yan Conference paper
The Visual Object Tracking VOT2015 Challenge Results
Proceedings of the IEEE International Conference on Computer Vision, v. 2015-February, December 2015, article number 7406428, p. 564-586
Kristan, Matej; Matas, Ji?í George; Leonardis, Ale? De; Felsberg, Michael; ?ehovin, Luka; Fernández, Gustavo Javier; Vojí?, Tomá?; H?ger, Gustav; Nebehay, Georg; Pflugfelder, Roman; Gupta, Abhinav; Bibi, Adel; Luke?i?, Alan; García-Martín, álvaro; Saffari, Amir; Petrosino, Alfredo; Montero, Andrés Solís; Varfolomieiev, Anton; Baskurt, Atilla M.; Zhao, Baojun; Ghanem, Bernard; Martínez, Brais; Lee, Byeongju; Han, Bohyung; Wang, Chaohui; Garcia, Christophe; Zhang, Chunyuan; Schmid, Cordelia; Tao, Dacheng; Kim, Daijin; Huang, Dafei; Prokhorov, Danil V.; Du, Dawei; Yeung, Dit Yan; Ribeiro, Eraldo; Khan, Fahadshahbaz; Porikli, Fatih Murat; Bunyak, Filiz; Zhu, Gao; Seetharaman, Guna S.; Kieritz, Hilke; Yau, Hingtuen; Li, Hongdong; Qi, Honggang; Bischof, Horst; Possegger, Horst; Lee, Hyemin; Nam, Hyeonseob; Bogun, Ivan; Jeong, Jaechan; Cho, Jaeil; Lee, Jaeyeong; Zhu, Jianke; Shi, Jianping; Li, Jiatong; Jia, Jiaya; Feng, Jiayi; Gao, Jin; Choi, Jinyoung; Kim, Jiwan; Lang, Jochen; Martínez, José M.; Choi, Jongwon; Xing, Junliang; Xue, Kai; Palaniappan, Kannappan Pan; Lebeda, Karel; Alahari, Karteek; Gao, Ke; Yun, Kimin; Wong, Kinhong; Luo, Lei; Ma, Liang; Ke, Lipeng; Wen, Longyin; Bertinetto, Luca; Pootschi, Mahdieh; Maresca, Mario Edoardo; Danelljan, Martin; Wen, Mei; Zhang, Mengdan; Arens, Michael; Valstar, Michel F.; Tang, Ming; Chang, Mingching; Khan, Muhammadharis; Fan, Nana; Wang, Naiyan; Miksik, Ondrej; Torr, Philip H S; Wang, Qiang; Martín-Nieto, Rafael; Pelapur, Rengarajan V.; Bowden, Richard; Laganière, Robert; Moujtahid, Salma; Hare, Sam; Hadfield, Simon; Lyu, Siwei; Li, Siyi; Zhu, Songchun; Becker, Stefan; Duffner, Stefan; Hicks, Stephen L.; Golodetz, Stuart M.; Choi, Sunglok; Wu, Tianfu; Mauthner, Thomas; Pridmore, Tony Paul; Hu, Weiming; Hübner, Wolfgang; Wang, Xiaomeng; Li, Xin; Shi, Xinchu; Zhao, Xu; Mei, Xue; Shizeng, Yao; Hua, Yang; Li, Yang; Lu, Yang; Chen, Zhaoyun; Huang, Zehua; Zhang, Zhe; He, Zhenyu; Hong, Zhibin; Li, Yuezun; Chen, Zhe Conference paper
Understanding and Diagnosing Visual Tracking Systems
Proceedings: 2015 IEEE International Conference on Computer Vision (ICCV 2015), IEEE, 2015, p. 3101-3109
Wang, Naiyan; Shi, Jianping; Yeung, Dit Yan; Jia, Jiaya Conference paper

2014 4

A Regularization Approach to Learning Task Relationships in Multitask Learning
ACM Transactions on Knowledge Discovery from Data, v. 8, (3), June 2014, article number 12
Zhang, Yu; Yeung, Dit-Yan Article
Multicategory large margin classification methods: Hinge losses vs. coherence functions
Artificial Intelligence, v. 215, 2014, p. 55-78
Zhang, Zhihua; Chen, Cheng; Dai, Guang; Li, Wu-Jun; Yeung, Dit-Yan Article
Semiparametric preference learning
Tsinghua Science and Technology, v. 19, (3), 2014, article number 6838196, p. 257-264
Zhen, Yi; Song, Yangqiu; Yeung, Dityan Article
Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data
31st International Conference on Machine Learning, ICML 2014, v. 4, 2014, p. 2807-2817
Wang, Naiyan; Yeung, Dit Yan Conference paper

2013 7

Active Hashing and Its Application to Image and Text Retrieval
Data Mining and Knowledge Discovery, v. 26, (2), March 2013, p. 255-274
Zhen, Yi; Yeung, Dit Yan Article
Multilabel Relationship Learning
ACM Transactions on Knowledge Discovery from Data, v. 7, (2), July 2013, article number 2499910
Zhang, Yu; Yeung, Dit-Yan Article
Bayesian robust matrix factorization for image and video processing
Proceedings of the IEEE International Conference on Computer Vision, article number 6751332, p. 1785-1792
Wang, Naiyan; Yeung, Dit Yan Conference paper
Learning a deep compact image representation for visual tracking
Advances in Neural Information Processing Systems, 26, 2013
Wang, Naiyan; Yeung, Dit Yan Conference paper
Learning High-order Task Relationships in Multi-task Learning
IJCAI International Joint Conference on Artificial Intelligence, 2013, p. 1917-1923
Zhang, Yu; Yeung, Dit-Yan Conference paper
Online robust non-negative dictionary learning for visual tracking
Proceedings of the IEEE International Conference on Computer Vision, article number 6751191, p. 657-664
Wang, Naiyan; Wang, Jingdong; Yeung, Dit Yan Conference paper
SCMF: Sparse Covariance Matrix Factorization for Collaborative Filtering
Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, Edited by Francesca Rossi. Menlo Park, California : AAAI Press / International Joint Conferences on Artificial Intelligence, 2013, p. 2705-2711
Shi, Jianping; Wang, Naiyan; Xia, Yang; Yeung, Dit Yan; King, Irwin; Jia, Jiaya Conference paper

2012 9

Solution Path for Manifold Regularized Semisupervised Classification
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, v. 42, (2), April 2012, p. 308-319
Wang, Gang; Wang, Fei; Chen, Tao; Yeung, Dit Yan; Lochovsky, Frederick H. Article
Transfer Metric Learning With Semi-supervised Extension
ACM Transactions on Intelligent Systems and Technology (TIST), v. 3, (3), May 2012, article number 54
Zhang, Yu; Yeung, Dit Yan Article
A probabilistic approach to robust matrix factorization
Twelfth European Conference on Computer Vision (ECCV), Firenze, Italy, 7-13 October 2012, Lecture Notes in Computer Science, v. 7578, (PART 7), 2012, p. 126-139
Wang, Naiyan; Yao, Tian Sheng; Wang, Jing Dong; Yeung, Dit Yan Conference paper
A probabilistic model for multimodal hash function learning
18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2012, Beijing, China, 12 - 16 August 2012; Code 92573, 2012, p. 940-948
Zhen, Yi; Yeung, Dit Yan Conference paper
Co-Regularized Hashing for Multimodal Data
Advances in Neural Information Processing Systems, 25, 2012, p. 1376-1384
Zhen, Yi; Yeung, Dit Yan Conference paper
Multi-task Boosting by Exploiting Task Relationships
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 7523 LNAI, (PART 1), 2012, p. 697-710
Zhang, Yu; Yeung, Dit Yan Conference paper
Overlapping Community Detection via Bounded Nonnegative Matrix Tri-factorization
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012, p. 606-614
Zhang, Yu; Yeung, Dit Yan Conference paper
Sparse probabilistic relational projection
Proceedings of the AAAI Conference on Artificial Intelligence, v. 26, (1), 2012, article number 8307, p. 1005-1011
Li, Wu Jun; Yeung, Dit Yan Conference paper
Supervised Probabilistic Robust Embedding With Sparse Noise
Proceedings of the AAAI Conference on Artificial Intelligence, v. 26, (1), 2012, article number 8301, p. 1226-1232
Zhang, Yu; Yeung, Dit Yan; Xing, Eric P. Conference paper

2011 6

Semisupervised Generalized Discriminant Analysis
IEEE Transactions on Neural Networks, v. 22, (8), August 2011, article number 5936122, p. 1207-1217
Zhang, Yu; Yeung, Dit-Yan Article
A convex formulation of modularity maximization for community detection
Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence (IJCAI), Barcelona, Spain, 16-22 July 2011, p. 2218-2225
Chan, Emprise Y.K.; Yeung, Dit-Yan Conference paper
Discriminative Experimental Design
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 6913 LNAI, (PART 3), 2011, p. 585-596
Zhang, Yu; Yeung, Dit Yan Conference paper
Generalized latent factor models for social network analysis
Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI), Barcelona, Spain, 16-22 July 2011, p. 1705-1710.
Li, Wu-Jun; Yeung, Dit-Yan; Zhang, Zhihua Conference paper
Multi-task Learning in Heterogeneous Feature Spaces
Proceedings of the AAAI Conference on Artificial Intelligence, v. 25, (1), 2011, article number 7909, p. 574-579
Zhang, Yu; Yeung, Dit Yan Conference paper
Social relations model for collaborative filtering
Proceedings of the AAAI Conference on Artificial Intelligence, v. 25, (1), 2011, article number 7948, p. 803-808
Li, Wu Jun; Yeung, Dit Yan Conference paper

2010 13

A regularization framework for multiclass classification: A deterministic annealing approach
Pattern recognition, v. 43, (7), 2010, July, p. 2466-2475
Zhang, Zhihua; Wang, Gang; Yeung, Dit-Yan; Dai, Guang; Lochovsky, Frederick Article
MILD: Multiple-Instance Learning via Disambiguation
IEEE transactions on knowledge and data engineering, v. 22, (1), 2010, January, p. 76-89
Li, Wu-Jun; Yeung, Dit-Yan Article
A Convex Formulation for Learning Task Relationships in Multi-task Learning
Proceedings of the 26th Conference on Uncertainty in Artificial Intelligence, UAI 2010, 2010, p. 733-742
Zhang, Yu; Yeung, Dit Yan Conference paper
Adaptive Transfer Learning
Proceedings of the AAAI Conference on Artificial Intelligence, v. 24, (1), 2010, article number 7682, p. 407-412
Cao, Bin; Pan, Jialin; Zhang, Yu; Yeung, Dit Yan; Yang, Qiang Conference paper
Gaussian process latent random field
Proceedings of the AAAI Conference on Artificial Intelligence, v. 24, (1), 2010, article number 7697, p. 679-684
Zhong, Guoqiang; Li, Wujun; Yeung, Dit Yan; Hou, Xinwen; Liu, Cheng Lin Conference paper
Multi-domain Collaborative Filtering
Proceedings of the 26th Conference on Uncertainty in Artificial Intelligence, UAI 2010, 2010, p. 725-732
Zhang, Yu; Cao, Bin; Yeung, Dit Yan Conference paper
Multi-task Learning Using Generalized t Process
Proceedings of Machine Learning Research, v. 9, 2010, p. 964-971
Zhang, Yu; Yeung, Dit-Yan Conference paper
Multi-task Warped Gaussian Process for Personalized Age Estimation
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010, article number 5539975, p. 2622-2629
Zhang, Yu; Yeung, Dit Yan Conference paper
Probabilistic Multi-task Feature Selection
Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, 2010, p. 9
Zhang, Yu; Yeung, Dit-Yan; Xu, Qian Conference paper
SED: Supervised experimental design and its application to text classification
SIGIR 2010 Proceedings - 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieva, Geneva, Switzerland, 19 - 23 July 2010, Code 81531, 2010, p. 299-306
Zhen, Yi; Yeung, Dit Yan Conference paper
Transductive Learning on Adaptive Graphs
Proceedings of the AAAI Conference on Artificial Intelligence, v. 24, (1), 2010, article number 7670, p. 661-666
Zhang, Yan Ming; Zhang, Yu; Yeung, Dit Yan; Liu, Cheng Lin; Hou, Xinwen Conference paper
Transfer Metric Learning by Learning Task Relationships
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010, p. 1199-1207
Zhang, Yu; Yeung, Dit Yan Conference paper
Worst-case Linear Discriminant Analysis
Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010, 2010, p. 9
Zhang, Yu; Yeung, Dit-Yan Conference paper

2009 11

Learning Inverse Dynamics by Gaussian Process Regression Under the Multi-task Learning Framework
The Path to Autonomous Robots / Editor(s): G. S. Sukhatme. Boston, MA : Springer, 2009, p. 131-142
Yeung, Dit Yan; Zhang, Yu Book chapter
Coherence functions for multicategory margin-based classification methods
Proceedings of Machine Learning Research, v. 5, 2009, p. 647-654
Zhang, Zhihua; Jordan, Michael I.; Li, Wujun; Yeung, Dit Yan Conference paper
Coherence functions for multicategory margin-based classification methods
Proceedings of Machine Learning Research, v. 5, 2009, p. 647-654
Zhang, Zhihua; Jordan, Michael; Li, Wujun; Yeung, Dit Yan Conference paper
Heteroscedastic Probabilistic Linear Discriminant Analysis With Semi-supervised Extension
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 5782 LNAI, (PART 2), 2009, p. 602-616
Zhang, Yu; Yeung, Dit Yan Conference paper
Latent Wishart processes for relational kernel learning
Proceedings of Machine Learning Research, v. 5, 2009, p. 336-343
Li, Wu-Jun; Zhang, Zhihua; Yeung, Dit Yan Conference paper
Latent Wishart Processes for Relational Kernel Learning
Proceedings of Machine Learning Research, v. 5, 2009, p. 336-343
Li, Wujun; Zhang, Zhihua; Yeung, Dit Yan Conference paper
Localized content-based image retrieval through evidence region identification
2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009, Miami, FL, United States, 20 - 25 June 2009; Category numberCFP0988A-PRT, Code 78374, 2009, p. 1666-1673
Li, Wu Jun; Yeung, Dit Yan Conference paper
Probabilistic relational PCA
23rd Annual Conference on Neural Information Processing Systems, Vancouver, Canada, 7-10 December 2009, 2009, p.1123-1131
Li, Wu-Jun; Yeung, Dit Yan; Zhang, Zhihua Conference paper
Relation Regularized Matrix Factorization
21ST INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI-09), PROCEEDINGS, 2009, p. 1126-1131
Li, Wu-Jun; Yeung, Dit Yan Conference paper
Semi-supervised Multi-task Regression
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 5782 LNAI, (PART 2), 2009, p. 617-631
Zhang, Yu; Yeung, D.Y. Conference paper
TagiCoFi: Tag informed collaborative filtering
RecSys'09 - Proceedings of the 3rd ACM Conference on Recommender Systems, New York, NY, United States, 23 - 25 October 2009; Code 78661, 2009, p. 69-76
Zhen, Yi; Li, Wu Jun; Yeung, Dit Yan Conference paper

2008 11

A New Solution Path Algorithm in Support Vector Regression
IEEE transactions on neural networks, v. 19, (10), 2008, October, p. 1753-1767
Wang, Gang; Yeung, Dit-Yan; Lochovsky, Frederick H. Article
A Scalable Kernel-Based Semisupervised Metric Learning Algorithm with Out-of-Sample Generalization Ability
Neural computation, v. 20, (11), 2008, NOV, p. 2839-2861
Yeung, Dit-Yan; Chang, Hong; Dai, Guang Article
Robust path-based spectral clustering
Pattern recognition, v. 41, (1), 2008, January, p. 191-203
Chang, Hong; Yeung, Dit-Yan Article
Sliced coordinate analysis for effective dimension reduction and nonlinear extensions
Journal of computational and graphical statistics, v. 17, (1), 2008, March, p. 225-242
Zhang, Zhihua; Yeung, Dit-Yan; Kwok, James Tin-Yau; Chang, Edward Yi Article
Human action recognition using local spatio-temporal discriminant embedding
26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, Anchorage, AK, United States, 23 - 28 June 2008, Category number08CH38011, Code 73561, 2008
Jia, Kui; Yeung, Dit Yan Conference paper
Learning two-view stereo matching
Lecture Notes in Computer Science, v. 5304, (PART 3), 2008, p. 15-27
Xiao, J.; Chen, J.; Yeung, D.Y.; Quan, L. Conference paper
Learning Two-View Stereo Matching
10th European Conference on Computer Vision (ECCV 2008), Marseille (France), 12-18 Oct 2008, p. 15-27.
Xiao,Jianxiong; Chen,Jingni; Yeung,Dit-Yan; Quan,Long Conference paper
Posterior consistency of the Silverman g-prior in Bayesian model choice
Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS), Vancouver, Canada, 8-11 December 2008, p.1969-1976
Zhang, Zhihua; Jordan, Michael; Yeung, Dit Yan Conference paper
Semi-Supervised Discriminant Analysis using robust path-based similarity
26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2008, article number 4587357
Zhang, Yu; Yeung, Dit-Yan Conference paper
Semi-supervised Discriminant Analysis via CCCP
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 5212 LNAI, (PART 2), 2008, p. 644-659
Zhang, Yu; Yeung, Dit Yan Conference paper
Structuring visual words in 3D for arbitrary-view object localization
10th European Conference on Computer Vision, ECCV 2008, Marseille, France, 12 - 18 October 2008, Code 74340, Lecture Notes in Computer Science - Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, v. 5304, (PART 3), 2008, p. 725-737
Xiao, Jianxiong; Chen, Jingni; Yeung, Dit Yan; Quan, Long Conference paper

2007 16

A kernel approach for semisupervised metric learning
IEEE transactions on neural networks, v. 18, (1), 2007, January, p. 141-149
Yeung, Dit-Yan; Chang, Hong Article
Face recognition using a kernel fractional-step discriminant analysis algorithm
Pattern recognition, v. 40, (1), 2007, January, p. 229-243
Dai, Guang; Yeung, Dit-Yan; Qian, Yun-Tao Article
Kernel-based distance metric learning for content-based image retrieval
Image and vision computing, v. 25, (5), 2007, MAY 1, p. 695-703
Chang, Hong; Yeung, Dit-Yan Article
Learning the kernel matrix by maximizing a KFD-based class separability criterion
Pattern recognition, v. 40, (7), 2007, July, p. 2021-2028
Yeung, Dit-Yan; Chang, Hong; Dai, Guang Article
Pulsing RoQ DDoS attack and defense scheme in mobile ad hoc networks
International Journal of Network Security, v. 4, (2), 2007, p. 227-234
Ren, Wei; Jin, Hai; Yeung, Dit Yan; Yang, Mei Article
Surrogate Maximization/Minimization Algorithms and Extensions
Machine learning, v. 69, (1), 2007, OCT, p. 1-33
Zhang, Zhihua; Kwok, James Tin-Yau; Yeung, Dit Yan Article
A kernel path algorithm for support vector machines
ACM International Conference Proceeding Series, v. 227, 2007, p. 951-958
Wang, Gang; Yeung, Dit-Yan; Lochovsky, Frederick H. Conference paper
A learning approach to spam detection based on social networks
Fourth Conference on Email and Anti-Spam (CEAS), Mountain View, California, USA, 2-3 August 2007
Lam, Ho-Yu; Yeung, Dit-Yan Conference paper
A Scalable Kernel-Based Algorithm for Semi-Supervised Metric Learning
20th International Joint Conference on Artificial Intelligence, Hyderabad, India, 6-12 Jan 2007, 2007, p. 1138-1143
Yeung, Dit Yan; Chang, Hong; Dai, Guang Conference paper
Boosting Kernel Discriminant Analysis and Its Application to Tissue Classification of Gene Expression Data
20th International Joint Conference on Artificial Intelligence, Hyderabad, India, 6-12 January 2007, 2007, p. 744-749
Dai, Guang; Yeung, Dit Yan Conference paper
Image hallucination using neighbor embedding over visual primitive manifolds
IEEE Conference on Computer Vision & Pattern Recognition (CVPR), CVPR'07, Minneapolis, Minnesota, USA, 17 - 22 June 2007, Code 70350\2007, p. 244-250, Article number 4270026
Fan, Wei; Yeung, Dit-Yan Conference paper
Kernel selection forl semi-supervised kernel machines
ACM International Conference Proceeding Series, v. 227, 2007, p. 185-192
Dai, Guang; Yeung, Dit Yan Conference paper
Locally smooth metric learning with application to image retrieval
2007 IEEE 11th International Conference on Computer Vision, ICCV, Rio de Janeiro, Brazil, 14 - 21 October 2007, Category number07CH37946, Code 73231, 2007, Article number 4408862
Chang, Hong; Yeung, Dit Yan Conference paper
Semi-supervised cast indexing for feature-length films
13th International Multimedia Modeling Conference (MMM 2007) Singapore, 9-12 Jan 2007, Lecture notes in computer science - Advances in Multimedia Modeling, Part 1, v. 4351, 2007, p. 625-635
Fan, Wei; Wang, Tao; Bouguet, Jean Yves; Hu, Wei; Zhang, Yimin; Yeung, Dit Yan Conference paper
Surrogate maximization/minimization algorithms and extensions
21st International Conference on Machine Learning, ICML'04, Banff, Alberta, Canada, 4-8 July 2004
Zhang, Zhihua; Kwok, James Tin-Yau; Yeung, Dit-Yan Conference paper
The kernel path in kernelized LASSO
Proceedings of Machine Learning Research, v. 2, 2007, p. 580-587
Wang, Gang; Yeung, Dit Yan; Lochovsky, Frederick H. Conference paper

2006 22

Extending kernel Fisher discriminant analysis with the weighted pairwise Chernoff criterion
9th European Conference on Computer Vision, ECCV 2006, Graz, Austria, 7 - 13 May 2006, Code 67754, Lecture notes in computer science - Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, v. 3954, (Part 4), 2006, p. 308-320
Dai, Guang; Yeung, Dit-Yan; Chang, Hong Article
Extending the relevant component analysis algorithm for metric learning using both positive and negative equivalence constraints
Pattern recognition, v. 39, (5), 2006, MAY, p. 1007-1010
Yeung, Dit-Yan; Chang, Hong Article
Intrusion detection routers: Design, implementation. and evaluation using an experimental testbed
IEEE journal on selected areas in communications, v. 24, (10), 2006, OCT, p. 1889-1900
Chan, Eric Y.K.; Chan, H.W.; Chan, K.M.; Chan, P.S.; Chanson, Samuel T.; Cheung, M.H.; Chong, C.F.; Chow, K.P.; Hui, Albert K.T.; Hui, Lucas C.K.; Ip, S.K.; Lam, C.K.; Lau, W.C.; Pun, K.H.; Tsang, Y.F.; Tsang, W.W.; Tso, C.W.; Yeung, Dit Yan; Yiu, S.M.; Yu, K.Y.; Ju, Weihua Article
Locally linear metric adaptation with application to semi-supervised clustering and image retrieval
Pattern recognition, v. 39, (7), 2006, JUL, p. 1253-1264
Chang, Hong; Yeung, Dit Yan Article
Model-based transductive learning of the kernel matrix
Machine learning, v. 63, (1), 2006, APR, p. 69-101
Zhang, Zhihua; Kwok, James Tin-Yau; Yeung, Dit Yan Article
Relaxational metric adaptation and its application to semi-supervised clustering and content-based image retrieval
Pattern recognition, v. 39, (10), 2006, October, p. 1905-1917
Chang, Hong; Yeung, Dit-Yan; Cheung, William K. Article
Robust locally linear embedding
Pattern recognition, v. 39, (6), 2006, JUN, p. 1053-1065
Chang, Hong; Yeung, Dit Yan Article
TCP performance evaluation over AODV and DSDV in RW and SN mobility models
Journal of Zhejiang University: Science, v. 7, (10), 2006, p. 1683-1689
Ren, W.; Yeung, D.Y.; Jin, H. Article
Throttling spoofed SYN flooding traffic at the source
Telecommunication Systems, v. 33, (1-3), 2006, November, p. 47-65
Chen, Wei; Yeung, Dit-Yan Article
Structural, Syntactic and Statistical Pattern Recognition: Joint IAPR International Workshops, SSPR 2006 and SPR 2006, Hong Kong, China, August 17-19, 2006: proceedings
Structural, Syntactic and Statistical Pattern Recognition: Joint IAPR International Workshops, SSPR 2006 and SPR 2006, Hong Kong, China, August 17-19, 2006: proceedings / Edited by Dit-Yan Yeung, James T. Kwok, Ana Fred, Fabio Roli, Dick de Ridder. Berlin: Springer, 2006
Yeung, Dit-Yan; Kwok, James T.; Fred, Ana; Roli, Fabio; Ridder, Dick de Book
A coordinated detection and response scheme for distributed denial-of-service attacks
IEEE International Conference on Communications, ICC 2006, Istanbul, Turkey, 11 - 15 July 2006, Category number06CH37799C, Code 71914, v. 5, 2006, Article number 4024486, p. 2165-2170
Lam, Ho Yu; Li, Chi-Pan; Chanson, S.T.; Yeung, Dit Yan Conference paper
A manifold regularization approach to calibration reduction for sensor-network based tracking
21st National Conference on Artificial Intelligence and the 18th Innovative Applications of Artificial Intelligence Conference, AAAI-06/IAAI-06, Boston, MA, United States, 16 - 20 July 2006, Code 68475, v. 1, 16 July 2006 through 20 July 2006; Code 68475, p. 988-993
Pan, JeffreyJunfeng; Yang, Qiang; Chang, Hong; Yeung, Dityan Conference paper
Defending against TCP SYN flooding attacks under different types of IP spoofing
Proceedings of the International Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies,ICN/ICONS/MCL'06, Morne, Mauritius, 23 - 29 April 2006, Category numberP2552, Code 68505, v. 2006, 2006, Article number 1628284
Chen, Wei; Yeung, Dit Yan Conference paper
Face recognition with image sets using hierarchically extracted exemplars from appearance manifolds
FGR 2006: Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition, Southampton, United Kingdom, 10 - 12 April 2006, Category numberP2503, Code 68469, v. 2006, 2006, Article number 1613017, p. 177-182
Fan, Wei; Yeung, Dit Yan Conference paper
Facial Expression Recognition using Advanced Local Binary Patterns, Tsallis Entropies and Global Appearance Features
Proceedings - International Conference on Image Processing, ICIP, 2006, article number 4106617, p. 665-668
Liao, Shu; Fan, Wei; Chung, Albert Chi Shing; Yeung, Dit-Yan Conference paper
Graph Laplacian kernels for object classification from a single example
2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2006, New York, NY, United States, 17 - 22 June 2006, Category numberP2597, Code 68806, v. 2, 2006, p. 2011-2016
Chang, Hong; Yeung, Dit Yan Conference paper
Kernel-based metric adaptation with pairwise constraints
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 3930 LNAI, 2006, p. 721-730
Chang, Hong; Yeung, Dit-Yan Conference paper
Local discriminant embedding with tensor representation
Proceedings - International Conference on Image Processing, Atlanta, Georgia, USA, Atlanta, GA, United States, 8 - 11 October 2006, Category number06CH37815, Code 82528, 2006, Article number 4106683, p. 929-932
Xia, Jian; Yeung, Dit-Yan; Dai, Guang Conference paper
Locally linear models on face appearance manifolds with application to dual-subspace based classification
2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2006, New York, NY, United States, 17 - 22 June 2006, Category numberP2597, Code 68806, v. 2, 2006, Article number 1640919, p. 1384-1390
Fan, Wei; Yeung, Dit Yan Conference paper
Solution path for semi-supervised classification with manifold regularization
Proceedings - IEEE International Conference on Data Mining, 6th International Conference on Data Mining, 2006, p. 1124-1129, Article number 4053165
Wang, Gang; Chen, Tao; Yeung, Dit-Yan; Lochovsky, Frederick H. Conference paper
Tensor embedding methods
21st National Conference on Artificial Intelligence and the 18th Innovative Applications of Artificial Intelligence Conference, AAAI-06/IAAI-06, Boston, MA, United States, 16 - 20 July 2006, Code 68475, v. 1, 2006, p. 330-335
Dai, Guang; Yeung, Dit Yan Conference paper
Two-dimensional solution path for support vector regression
ACM International Conference Proceeding Series, v. 148, 2006, p. 993-1000
Wang, Gang; Yeung, Dit Yan; Lochovsky, Frederick H. Conference paper

2005 5

Nonlinear dimensionality reduction for classification using kernel weighted subspace method
Proceedings - International Conference on Image Processing (ICIP 2005) Genoa, ITALY, 1-14 Sep 2005, 2005, p. 1633-1636
Dai, Guang; Yeung, Dit Yan Conference paper
Nonlinear dimensionality reduction for classification using kernel weighted subspace method
Proceedings - International Conference on Image Processing, ICIP, v. 2, 2005, p. 838-841
Dai, G.; Yeung, D.Y. Conference paper
Robust path-based spectral clustering with application to image segmentation
Proceedings of the IEEE International Conference on Computer Vision, ICCV 2005, Beijing, China, 17 - 20 October 2005, Category numberP2334, Code 66373, v. I, 2005, Article number 1541268, p. 278-285
Chang, Hong; Yeung, Dit Yan Conference paper
Semisupervised metric learning by kernel matrix adaptation
Proceedings of 2005 International Conference on Machine Learning and Cybernetics, v. 5 / IEEE. Piscataway, NJ : IEEE, 2005, p. 3210-3215
Chang, Hong; Yeung, Dit Yan Conference paper
Stepwise metric adaptation based on semi-supervised learning for boosting image retrieval performance
Sixteenth British Machine Vision Conference (BMVC), Oxford, UK, pp.21-29, 5-8 September 2005
Chang, Hong; Yeung, Dit-Yan Conference paper

2004 10

Special issue on deformable models for image analysis and pattern recognition
International Journal of Image and Graphics, v. 4, (3) July 2004
Yeung, Dit-Yan; Qian, Jian-Zhong Article
SVC2004: First international signature verification competition
Lecture notes in computer science - Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, v. 3072, 2004, p. 16-22
Yeung, Dit Yan; Chang, Hong; Xiong, Yimin; George, Susan; Kashi, Ramanujan; Matsumoto, Takashi; Rigoll, Gerhard Article
Time series clustering with ARMA mixtures
Pattern recognition, v. 37, (8), 2004, AUG, p. 1675-1689
Xiong, YM; Yeung, Dit Yan Article
Bayesian inference for transductive learning of kernel matrix using the tanner-wong data augmentation algorithm
21st International Conference on Machine Learning, ICML'04, 2004, p. 935-942
Zhang, Zhihua; Yeung, Dit Yan; Kwok, James Tin-Yau Conference paper
Bayesian inference on principal component analysis using reversible jump markov chain Monte Carlo
Proceedings of the Nineteenth National Conference on Artificial Intelligence and Sixteenth Innovative Applications of Artificial Intelligence Conference / edited by Anthony Cohn. Palo Alto, California : AAAI Press, 2004, p. 372-377
Zhang, Zhihua; Chan, Kap Luk; Kwok, James Tin-Yau; Yeung, Dit Yan Conference paper
IDR: An intrusion detection router for defending against Distributed Denial-of-Service (DDoS) attacks
Proceedings of the International Symposium on Parallel Architectures, Algorithms and Networks, I-SPAN, 2004, p. 581-586
Chan, E.Y.K.; Chan, H.W.; Chan, K.M.; Chan, V.P.S.; Chanson, S.T.; Cheung, M.M.H.; Chong, C.F.; Chow, K.P.; Hui, A.K.T.; Hui, L.C.K.; Lam, L.C.K.; Lau, W.C.; Pun, K.K.H.; Tsang, A.Y.F.; Tsang, W.W.; Tso, S.C.W.; Yeung, D.Y.; Yu, K.Y. Conference paper
Locally linear metric adaptation for semi-supervised clustering
21st International Conference on Machine Learning, ICML'04, 2004, p. 153-160
Chang, Hong; Yeung, Dit Yan Conference paper
Reinforcement learning in episodic non-stationary markovian environments
Proceedings of the International Conference on Artificial Intelligence, IC-AI'04, v. 2, 2004, p. 752-758
Choi, S.P.M.; Zhang, N.L.; Yeung, D.Y. Conference paper
Super-resolution through neighbor embedding
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2004, Washington, DC, United States, 27 - 2 July 2004, Code 63645, v. 1, 2004, p. I275-I282
Chang, Hong; Yeung, Dit Yan; Xiong, Yimin Conference paper
Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model
21st International Conference on Machine Learning, ICML'04, 2004, p. 927-934
Zhang, Zhihua; Kwok, James Tin-Yau; Yeung, Dit Yan Conference paper

2003 2

Host-based intrusion detection using dynamic and static behavioral models
Pattern recognition, v. 36, (1), 2003, JAN, p. 229-243
Yeung, Dit-Yan; Ding, Yuxin Article
Parametric distance metric learning with label information
Eighteenth International Joint Conference on Artificial Intelligence (IJCAI), Acapulco, Mexico, 9 - 15 August 2003, Code 97871, v. 2003 pp.1450-1452
Zhang, Zhihua; Kwok, James Tin-Yau; Yeung, Dit-Yan Conference paper

2002 6

Bidirectional deformable matching with application to handwritten character extraction
IEEE transactions on pattern analysis and machine intelligence, v. 24, (8), 2002, AUG, p. 1133-1139
Cheung, Kwok Wai; Yeung, Dit Yan; Chin, Roland T. Article
On deformable models for visual pattern recognition
Pattern recognition, v. 35, (7), 2002, JUL, p. 1507-1526
Cheung, Kwok Wai; Yeung, Dit Yan; Chin, Roland T. Article
Mixtures of ARMA models for model-based time series clustering
2nd IEEE International Conference on Data Mining, ICDM '02, Maebashi, Japan, 9 - 12 December 2002, Category numberPR01754, Code 82449, 2002, p. 717-720
Xiong, Yimin; Yeung, Dit Yan Conference paper
Multi-model approach to non-stationary reinforcement learning
Sixth IASTED International Conference on Artificial Intelligence and Soft Computing, Banff, Canada, 17-19 July, pp. 350-355
Choi, Samuel P.M.; Yeung, Dit-Yan; Zhang, Nevin L. Conference paper
Parzen-window network intrusion detectors
Proceedings - International Conference on Pattern Recognition, v. 16, (4), 2002, p. 385-388
Yeung, Dit Yan; Chow, Calvin Conference paper
User profiling for intrusion detection using dynamic and static behavioral models
Sixth Pacific-Asia Conference on Knowledge Discovery and Data Mining, Taipei, Taiwan, 494-505
Yeung, Dit-Yan; Ding, Yuxin Conference paper

2001 4

Error detection, error correction and performance evaluation in on-line mathematical expression recognition
Pattern recognition, v. 34, (8), 2001, AUG, p. 1671-1684
Chan, Kam Fai; Yeung, Dit Yan Article
Hidden-mode Markov decision processes for nonstationary sequential decision making
In Sequence Learning: Paradigms, Algorithms, and Applications / R.Sun & C.L. Giles (eds.). Springer-Verlag, 2001, p. 264-287
Choi, Samuel; Yeung, Dit Yan; Zhang, Nevin L. Book chapter
PenCalc: A novel application of on-line mathematical expression recognition technology
SIXTH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION, PROCEEDINGS (ICDAR) SEATTLE, WA, 10-13 Sep 2001, 2001, p. 774-778
Chan, Kam Fai; Yeung, Dit Yan Conference paper
Solving hidden-mode Markov decision problems
Proceedings of Machine Learning Research, v. R3, 2001, p. 49-56
Choi, Ping Man Samuel; Zhang, Nevin Lianwen; Yeung, Dit Yan Conference paper

2000 4

An efficient syntactic approach to structural analysis of on-line handwritten mathematical expressions
Pattern recognition, v. 33, (3), 2000, MAR, p. 375-384
Chan, Kam Fai; Yeung, Dit Yan Article
Mathematical expression recognition: a survey
International Journal on Document Analysis and Recognition, v. 3, (1), 2000, p. 3-15
Chan, Kam-Fai; Yeung, Dit-Yan Article
An environment model for nonstationary reinforcement learning
13th Annual Conference on Neural Information Processing Systems (NIPS) CO, 29 NOV - 04 DEC 1999, Advances in neural information processing systems, v. 12, 2000, p. 987-993
Choi, Samuel PM; Yeung, Dit Yan; Zhang, Nevin L. Conference paper
An Environment Model for Nonstationary Reinforcement Learning
Advances in Neural Information Processing Systems, 2000, p. 307-313
Choi, Samuel Ping Man; Yeung, Dit Yan; Zhang, Nevin L Conference paper

1999 5

Recognizing on-line handwritten alphanumeric characters through flexible structural matching
Pattern recognition, v. 32, (7), 1999, JUL, p. 1099-1114
Chan, Kam Fai; Yeung, Dit Yan Article
A simple yet robust structural approach for on-line handwritten alphanumeric character recognition
In Advances in Handwriting Recognition / S.W.Lee (eds.), World Scientific, 1999, p. 39-48
Chan, Kam Fai; Yeung, Dit Yan Book chapter
Robust deformable matching for character extraction
In Advances in Handwriting Recognition /S.W. Lee (ed.), World Scientific, 1999, p. 235-244
Cheung, Kwok Wai; Yeung, Dit Yan; Chin, Roland T. Book chapter
Bidirectional Matching Algorithm for Deformable Pattern Detection with Application to Handwritten Word Retrieval
Proceedings of the IEEE International Conference on Computer Vision, v. 2, 1999, p. 1105-1110
Cheung, Kwok-Wai; Yeung, Dit Yan; Chin, Roland Tai Hong Conference paper
Hidden-mode Markov decision processes
Proceedings of the 16th international joint conference on artificial intelligence (IJCAI-99), workshop on neural symbolic, and reinforcement methods for sequence learning, Stockholm, Sweden, 1999, p. 9-14
Choi, Samuel P.M.; Yeung, Dit-Yan; Zhang, Nevin Lianwen Conference paper

1998 5

A Bayesian framework for deformable pattern recognition with application to handwritten character recognition
IEEE transactions on pattern analysis and machine intelligence, v. 20, (12), 1998, DEC, p. 1382-1388
Cheung, Kwok Wai; Yeung, Dit Yan; Chin, Roland T. Article
Theoretical Aspects of Neural Computation: A Multidisciplinary Perspective - International Workshop (TANC'97) Hong Kong, 26-28 May 1997
Theoretical Aspects of Neural Computation: A Multidisciplinary Perspective: International Workshop (TANC'97) Hong Kong, 26-28 May 1997 / Wong, Kwok-Yee M., Yeung, Dit-Yan (Eds.) Singapore: Springer-Verlag Singapore, 1998
Wong, Kwok-Yee M.; Yeung, Dit-Yan Book
A simple yet robust structural approach for recognizing on-line handwritten alphanumeric characters
Proceedings of the Sixth International Workshop on Frontiers in Handwriting Recognition, Taejon, Korea, 12-14 August 1998, p. 229-238
Chan, Kam-Fai; Yeung, Dit Yan Conference paper
Elastic structural matching for on-line handwritten alphanumeric character recognition
14th International Conference on Pattern Recognition, BRISBANE, AUSTRALIA, 16-20 August 1998, International Conference on Pattern Recognition, v. 1&2, 1998, p. 1508-1511
Chan, Kam Fai; Yeung, Dit Yan Conference paper
Towards Efficient Structural Analysis of Mathematical Expressions
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 1451, 1998, p. 437-444
Chan, Kam Fai; Yeung, Dit Yan Conference paper

1997 3

Constructive algorithms for structure learning in feedforward neural networks for regression problems
IEEE transactions on neural networks, v. 8, (3), 1997, MAY, p. 630-645
Kwok, Tin Yau; Yeung, Dit Yan Article
Objective functions for training new hidden units in constructive neural networks
IEEE transactions on neural networks, v. 8, (5), 1997, SEP, p. 1131-1148
Kwok, Tin Yau; Yeung, Dit Yan Article
On-line handwritten alphanumeric character recognition using dominant points in strokes
Pattern recognition, v. 30, (1), 1997, JAN, p. 31-44
Li, Xiaolin; Yeung, Dit Yan Article

1996 6

Use of bias term in projection pursuit learning improves approximation and convergence properties
IEEE transactions on neural networks, v. 7, (5), 1996, SEP, p. 1168-1183
Kwok, Tin Yau; Yeung, Dit Yan Article
Bayesian regularization in constructive neural networks
Lecture Notes in Computer Science, v. 1112, 1996, p. 557-562
Kwok, James Tin Yau; Yeung, Dit Yan Conference paper
Competitive Mixture of Deformable Models for Pattern Classification
Proceedings of the IEEE Computer Society Conference on Computer Vision & Pattern Recognition (CVPR'96), 1996, p. 613-618
Cheung, Kwok Wai; Yeung, Dit Yan; Chin, Roland Tai Hong Conference paper
Predictive Q-routing: A memory-based reinforcement learning approach to adaptive traffic control
9th Annual Conference on Neural Information Processing Systems (NIPS) DENVER, CO, 27-30 Nov 1995, Advances in neural information processing systems - PROCEEDINGS OF THE 1995 CONFERENCE, v. 8, 1996, p. 945-951
Choi, Samuel PM; Yeung, Dit Yan Conference paper
Recognition of handwritten digits using deformable model
Proceedings of the Fifth International Workshop on Frontiers in Handwriting Recognition (IWFHR), Colchester, England, 2-5 September 1996, p. 259-262
Cheung, Kwok-Wai; Yeung, Dit Yan Conference paper
Reference priors for neural networks: Laplace versus Gaussian
Proceedings of the International Conference on Neural Information Processing, Hong Kong, September 1996, p. 109–114
Kwok, James Tin-Yau; Yeung, Dit Yan Conference paper

1995 8

Chinese glyph generation using character composition and beauty evaluation metrics
Proceedings of the International Conference on Computer Processing of Oriental Languages (ICCPOL), Honolulu, Hawaii, 23-25 November 1995, p. 92-99
Lai, Pak-Keung; Pong, Man-Chi; Yeung, Dit Yan Article
IMPROVING THE APPROXIMATION AND CONVERGENCE CAPABILITIES OF PROJECTION PURSUIT LEARNING
Neural processing letters, v. 2, (3), 1995, MAY, p. 20-25
KWOK, TIN-YAU; YEUNG, DIT YAN Article
A learning model for the selection of problem-solving strategies in continuous physical systems
In Goal-Driven Learning /D.Leake & A. Ram (eds.), MIT Press, 1995, Ch. 12, p. 307-319
Xia, Xiaodong; Yeung, Dit Yan Book chapter
A grammatical inference approach to on-line handwriting modeling and recognition: A pilot study
Proceedings of the Third International Conference on Document Analysis and Recognition (ICDAR), Montreal, Canada, 14-16 August 1995, p. 1069-1073
Yeung, Dit Yan Conference paper
A HYBRID EXPERT SYSTEM FOR ERROR MESSAGE CLASSIFICATION
2nd International Workshop on the Application of Neural Network to Telecommunications (IWANNT 95) STOCKHOLM, SWEDEN, 22-24 May 1995, INTERNATIONAL NEURAL NETWORKS SOCIETY SERIES, 1995, p. 339-346
LAU, HC; SZETO, KY; WONG, KYM; YEUNG, DY Conference paper
A unified framework for handwritten character recognition using deformable models
Proceedings of the Second Asian Conference on Computer Vision (ACCV), Singapore, 5-8 December 1995, p. 344-348
Cheung, Kwok Wai; Yeung, Dit Yan; Chin, Roland T. Conference paper
Efficient Cross-Validation for Feedforward Neural Networks
Conference Proceedings ofIEEE International Conference on Neural Networks, v. 5, 1995, p. 2789-2794
Kwok, Tin-Yau; Yeung, Dit-Yan Conference paper
On-line handwritten alphanumeric character recognition using feature sequences
Lecture Notes in Computer Science, v. 1024, 1995, p. 197-204
Li, Xiaolin; Yeung, Dit Yan Conference paper

1994 3

A theoretically sound learning algorithm for constructive neural networks
Proceedings of the IEEE International Symposium on Speech, Image Processing and Neural Networks, Hong Kong, April 1994, p. 389–392
Kwok, James Tin-Yau; Yeung, Dit Yan Conference paper
Constructive Neural Networks : Some Practical Considerations
IEEE International Conference on Neural Networks - Conference Proceedings, v. 1, 1994, p. 198-203
Kwok, James Tin Yau; Yeung, Dit Yan Conference paper
Gabriel networks: Self-organizing neural networks for adaptive vector quantization
Proceedings of the IEEE International Symposium on Speech, Image Processing and Neural Networks, Hong Kong, 13-16 April 1994, p. 658-661
Mou, Kwok-Leung; Yeung, Dit Yan Conference paper

1993 3

CONSTRUCTIVE NEURAL NETWORKS AS ESTIMATORS OF BAYESIAN DISCRIMINANT FUNCTIONS
Pattern recognition, v. 26, (1), 1993, JAN, p. 189-204
YEUNG, DIT YAN Article
On Reducing Learning Time in Context-Dependent Mappings
IEEE Transactions on Neural Networks, v. 4, (1), Jan 1993, p. 31-42
Yeung, Dit Yan; Bekey, George A. Article
Experimental Analysis Of Input Weight Freezing In Constructive Neural Networks
IEEE International Conference on Neural Networks - Conference Proceedings, v. 1993-January, 1993, p. 511–516, Article number 298610
Kwok, James Tin-Yau; Yeung, Dit Yan Conference paper

1992 1

Automatic determination of network size for supervised learning
1991 IEEE International Joint Conference on Neural Networks - IJCNN '91, Singapore, 18 - 21 November 1991, Code 17262, 1992, p. 158-164
Yeung, Dit-Yan Conference paper

1991 1

A NEURAL-NETWORK APPROACH TO CONSTRUCTIVE INDUCTION
MACHINE LEARNING: PROCEEDINGS OF THE EIGHTH INTERNATIONAL WORKSHOP (ML91) NORTHWESTERN UNIV, EVANSTON, IL, JUN, 1991, 1991, p. 228-232
YEUNG, DIT YAN Conference paper

1989 1

Using a context-sensitive learning network for robot arm control
Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Scottsdale, Arizona, USA, 4-19 May 1989, p. 1441-1447
Yeung, Dit Yan; Bekey, George A. Conference paper

1988 4

A learning model for the selection of problem solving strategies in continuous physical system
Proceedings of the IEEE Conference on Artificial Intelligence Applications, San Diego, California, USA, 14-18 March 1988, p. 200-206
Xia, Xiaodong; Yeung, Dit Yan Conference paper
Adaptive load balancing between mobile robots through learning in an artificial neural system
Proceedings of the American Control Conference (ACC), Atlanta, Georgia, USA, 15-17 June 1988, p. 2299-2304
Yeung, Dit Yan; Bekey, George A. Conference paper
Game-theoretic interaction among stochastic learning networks for adaptive load balancing
Proceedings of the First Annual Meeting of the International Neural Network Society, Boston, Massachusetts, USA, 6-10 September 1988, p. 368
Yeung, Dit Yan; Bekey, George A. Conference paper
Supervised learning of action probabilities in associative reinforcement learning
Proceedings of the Connectionist Models Summer School, Carnegie-Mellon University, Pittsburgh, Pennsylvania, USA, 15-17 June 1988, p. 2299-2304
Yeung, Dit Yan Conference paper

1987 3

Context-free classification of Mandarin unvoiced initials
Computer Processing of Chinese and Oriental Languages, v. 3, (2), December 1987, p. 66-76
Chan, Chorkin; Yeung, Dit Yan Article
A decentralized approach to the motion planning problem for multiple mobile robots
Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Raleigh, North Carolina, USA, 3 April 1987, p. 1779-1784
Yeung, Dit Yan; Bekey, George A. Conference paper
Coordinating multiple mobile robots for materials handling
Proceedings of the SME Conference on Artificial Intelligence in Manufacturing, Long Beach, California, USA, 14-16 October 1987, p. 85-99
Yeung, Dit Yan; Bekey, George A. Conference paper

1986 1

Context-free classification of unvoiced consonants
Technical Report TR-A2-86, Department of Computer Science, University of Hong Kong, January 1986
Chan, Chorkin; Yeung, Dit Yan Conference paper

1985 1

Identification of unaspirated plosives using integrated temporal and spectral features in dynamic representation as acoustic cues
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Tampa, Florida, USA, 1985, p. 1593-1596
Yeung, Dit Yan; Chan, Chorkin Conference paper


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Book chapter 1

Deep learning and the weather forecasting problem -- precipitation nowcasting
Deep learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science and Geosciences / Edited by Gustau Camps-Valls, Devis Tuia, Xiao Xiang Zhu, Markus Reichstein. USA : John Wiley and Sons Ltd, 2021, p. 218-239, Ch. 15
Gao, Zhihan; Shi, Xingjian; Wang, Hao; Yeung, Dit Yan; Woo, Wang-chun; Wong, Wai-Kin

Conference paper 3

Clickstream knowledge tracing: Modeling how students answer interactive online questions
ACM International Conference Proceeding Series, April 2021, p. 99-109
Chan, Wai Lun; Yeung, Dit Yan
MODALS: Modality-agnostic automated data augmentation in the latent space
Ninth International Conference on Learning Representations (ICLR 2021), Virtual Conference, 4-8 May 2021
Cheung, Tsz Him; Yeung, Dit Yan
Probing Toxic Content in Large Pre-trained Language Models
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, v. 1, 2021, p. 4262-4274
Ousidhoum, Nedjma Djouhra; Zhao, Xinran; Fang, Tianqing; Song, Yangqiu; Yeung, Dit Yan


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Article 1

A Survey on Bayesian Deep Learning
ACM Computing Surveys, v. 53, (5), October 2020, article number 108
Wang, Hao; Yeung, Dit Yan

Conference paper 2

Comparative Evaluation of Label-Agnostic Selection Bias in Multilingual Hate Speech Datasets
Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), November 2020, p. 2532-2542
Ousidhoum, Nedjma Djouhra; Song, Yangqiu; Yeung, Dit Yan
Learning Accurate Objectness Instance Segmentation from Photorealistic Rendering for Robotic Manipulation
Proceedings of the 2018 International Symposium on Experimental Robotics / Jing Xiao, Torsten Kr?ger, Oussama Khatib (Editors). Switzerland : Springer Nature, 2020, p. 245-255, Book series: Springer Proceedings in Advanced Robotics, v. 11
Li, Siyi; Zhou, Jiaji; Jia, Zhenzhong; Yeung, Dit Yan; Mason, Matthew


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Article 2

Incorporating features learned by an enhanced deep knowledge tracing model for STEM/non-STEM job prediction
International Journal of Artificial Intelligence in Education, v. 29, (3), August 2019, p. 317-341
Yeung, Chun Kit; Yeung, Dit Yan
Point-Cloud-Based Place Recognition Using CNN Feature Extraction
IEEE Sensors Journal, v. 19, (24), December 2019, article number 8815832, p. 12175-12186
Sun, Ting; Liu, Ming; Ye, Haoyang; Yeung, Dit Yan

Conference paper 5

Effective Feature Learning with Unsupervised Learning for Improving the Predictive Models in Massive Open Online Courses
ACM International Conference Proceeding Series, March 2019, p. 135-144
Ding, Mucong; Yeung, Dit Yan; Yang, Kai; Pong, Ting Chuen
Knowledge Query Network for Knowledge Tracing: How Knowledge Interacts With Skills
ACM International Conference Proceeding Series, March 2019, p. 491-500
Lee, Jinseok; Yeung, Dit Yan
Marginalized Average Attentional Network for Weakly-supervised Learning
7th International Conference on Learning Representations, ICLR 2019, New Orleans, Louisiana, USA, 6 - 9 May 2019
Yuan, Yuan; Lyu, Yueming; Shen, Xi; Tsang, Ivor W.; Yeung, Dit Yan
Multilingual and Multi-Aspect Hate Speech Analysis
EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference, 2019, p. 4675-4684
Ousidhoum, Nedjma Djouhra; Lin, Zizheng; Zhang, Hongming; Song, Yangqiu; Yeung, Dit Yan
Semi-semantic Line-Cluster Assisted Monocular SLAM for Indoor Environments
International Conference on Computer Vision Systems, 2019, p. 63-74, Part of the Lecture Notes in Computer Science book series (LNCS, volume 11754)
Sun, Ting; Song, Dezhen; Yeung, Dit Yan; Liu, Ming


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Conference paper 4

Addressing Two Problems in Deep Knowledge Tracing via Prediction-Consistent Regularization
Proceedings of the 5th Annual ACM Conference on Learning at Scale, L at S 2018, June 2018, article number 5
Yeung, Chun Kit; Yeung, Dit Yan
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs
34th Conference on Uncertainty in Artificial Intelligence 2018, UAI 2018, v. 1, 2018, p. 339-349
Zhang, Jiani; Shi, Xingjian; Xie, Junyuan; Ma, Hao; King, Irwin; Yeung, Dit Yan
Incorporating features learned by an enhanced deep knowledge tracing model for STEM/non-STEM job prediction
The Eleventh International Conference on Educational Data Mining (EDM), Buffalo, NY, USA, 15-18 July 2018
Yeung, Chun Kit; Lin, Zizheng; Yang, Kai; Yeung, Dit Yan
Learning unmanned aerial vehicle control for autonomous target following
IJCAI International Joint Conference on Artificial Intelligence, v. 2018-July, 2018, p. 4936-4942
Li, Siyi; Liu, Tianbo; Zhang, Chi; Yeung, Dit Yan; Shen, Shaojie


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Article 1

Fine-grained categorization via CNN-based automatic extraction and integration of object-level and part-level features
Image and Vision Computing, v. 64, August 2017, p. 47-66
Sun, Ting; Sun, Lin; Yeung, Dit Yan

Conference paper 9

Deep Learning for Precipitation Nowcasting: A Benchmark and a New Model
Advances in Neural Information Processing Systems, v. 30, 2017, p. 5618-5628
Shi, Xingjian; Gao, Zhihan; Lausen, Leonard Elias; Wang, Hao; Yeung, Dit Yan; Wong, W.-K.; Woo, W.-C.
Dynamic Key-Value Memory Networks for Knowledge Tracing
Proceedings of the 26th International Conference on World Wide Web, April 2017, article number 3052580, p. 765-774
Zhang, Jiani; Shi, Xingjian; King, Irwin; Yeung, Dit Yan
Gesture-based piloting of an aerial robot using monocular vision
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, July 2017, article number 7989696, p. 5913-5920, 2017 IEEE International Conference on Robotics and Automation (ICRA 2017) - Innovation, Entrepreneurship, and Real-world Solutions
Sun, Ting; Nie, Shengyi; Yeung, Dit Yan; Shen, Shaojie
Lattice long short-term memory for human action recognition
Proceedings of the IEEE International Conference on Computer Vision, December 2017, article number 8237498, p. 2166-2175
Sun, Lin; Jia, Kui; Chen, Kevin; Yeung, Dit Yan; Shi, Bertram Emil; Savarese, Silvio
Relational Deep Learning: a Deep Latent Variable Model for Link Prediction
Proceedings of the AAAI Conference on Artificial Intelligence, v. 31, (1), 2017, article number 10805, p. 2688-2694, 31st AAAI Conference on Artificial Intelligence, AAAI 2017
Wang, Hao; Shi, Xingjian; Yeung, Dit Yan
Sparse Boltzmann Machines With Structure Learning as Applied to Text Analysis
Proceedings of the AAAI Conference on Artificial Intelligence, v. 31, (1), 2017, article number 10773, p. 1805-1811
Chen, Zhourong; Zhang, Nevin Lianwen; Yeung, Dit Yan; Chen, Peixian
Spatiotemporal Modeling for Crowd Counting in Videos
Proceedings of the IEEE International Conference on Computer Vision, December 2017, article number 8237813, p. 5161-5169
Xiong, Feng; Shi, Xingjian; Yeung, Dit Yan
Temporal dynamic graph LSTM for action-driven video object detection
Proceedings of the Sixteenth IEEE International Conference on Computer Vision, December 2017, article number 8237462, p. 1819-1828
Yuan, Yuan; Liang, Xiaodan; Wang, Xiaolong; Yeung, Dit Yan; Gupta, Abhinav
Visual Object Tracking for Unmanned Aerial Vehicles: a Benchmark and New Motion Models
Proceedings of the AAAI Conference on Artificial Intelligence, v. 31, (1), 2017, article number 11205, p. 4140-4146, AAA1-17
Li, Siyi; Yeung, Dit Yan


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Article 2

Spectral Multimodal Hashing and Its Application to Multimedia Retrieval
IEEE Transactions on Cybernetics, v. 46, (1), January 2016, article number 7163570, p. 27-38
Zhen, Yi; Gao, Yue; Yeung, Dit Yan; Zha, Hongyuan; Li, Xuelong
Towards Bayesian Deep Learning: A Framework and Some Existing Methods
IEEE Transactions on Knowledge and Data Engineering, v. 28, (12), December 2016, article number 7562516, p. 3395-3408
Wang, Hao; Yeung, Dityan

Conference paper 4

Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks
Advances in Neural Information Processing Systems, 2016, p. 415-423
Wang, Hao; Shi, Xingjian; Yeung, Dit Yan
Natural parameter networks: a class of probabilistic neural networks
Advances in Neural Information Processing Systems 29 (NIPS 2016), Edited by D.D. Lee, M. Sugiyama, U.V. Luxburg, I. Guyon, R. Garnett. , 2016
Wang, Hao; Shi, Xingjian; Yeung, Dit Yan
Natural-Parameter Networks: A Class of Probabilistic Neural Networks
Advances in Neural Information Processing Systems, 2016, p. 118-126
Wang, Hao; Shi, Xingjian; Yeung, Dit Yan
The Visual Object Tracking VOT2016 Challenge Results
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 9914 LNCS, 2016, p. 777-823
Kristan, Matej; Leonardis, Ales; Matas, Jiri; Felsberg, Michael; Pflugfelder, Roman; Cehovin, Luka; Vojir, Tomas; Hager, Gustav; Lukezic, Alan; Fernandez, Gustavo; Gupta, Abhinav; Petrosino, Alfredo; Memarmoghadam, Alireza; Garcia-Martin, Alvaro; Montero, Andres Solis; Vedaldi, Andrea; Robinson, Andreas; Ma, Andy J.; Varfolomieiev, Anton; Alatan, Aydin; Erdem, Aykut; Ghanem, Bernard; Liu, Bin; Han, Bohyung; Martinez, Brais; Chang, Chang-Ming; Xu, Changsheng; Sun, Chong; Kim, Daijin; Chen, Dapeng; Du, Dawei; Mishra, Deepak; Yeung, Dit-Yan; Gundogdu, Erhan; Erdem, Erkut; Khan, Fahad; Porikli, Fatih; Zhao, Fei; Bunyak, Filiz; Battistone, Francesco; Zhu, Gao; Roffo, Giorgio; Subrahmanyam, Gorthi R. K. Sai; Bastos, Guilherme; Seetharaman, Guna; Medeiros, Henry; Li, Hongdong; Qi, Honggang; Bischof, Horst; Possegger, Horst; Lu, Huchuan; Lee, Hyemin; Nam, Hyeonseob; Chang, Hyung Jin; Drummond, Isabela; Valmadre, Jack; Jeong, Jae-chan; Cho, Jae-il; Lee, Jae-Yeong; Zhu, Jianke; Feng, Jiayi; Gao, Jin; Choi, Jin Young; Xiao, Jingjing; Kim, Ji-Wan; Jeong, Jiyeoup; Henriques, Joao F.; Lang, Jochen; Choi, Jongwon; Martinez, Jose M.; Xing, Junliang; Gao, Junyu; Palaniappan, Kannappan; Lebeda, Karel; Gao, Ke; Mikolajczyk, Krystian; Qin, Lei; Wang, Lijun; Wen, Longyin; Bertinetto, Luca; Rapuru, Madan Kumar; Poostchi, Mahdieh; Maresca, Mario; Danelljan, Martin; Mueller, Matthias; Zhang, Mengdan; Arens, Michael; Valstar, Michel; Tang, Ming; Baek, Mooyeol; Khan, Muhammad Haris; Wang, Naiyan; Fan, Nana; Al-Shakarji, Noor; Miksik, Ondrej; Akin, Osman; Moallem, Payman; Senna, Pedro; Torr, Philip H. S.; Yuen, Pong C.; Huang, Qingming; Martin-Nieto, Rafael; Pelapur, Rengarajan; Bowden, Richard; Laganiere, Robert; Stolkin, Rustam; Walsh, Ryan; Krah, Sebastian B.; Li, Shengkun; Zhang, Shengping; Yao, Shizeng; Hadfield, Simon; Melzi, Simone; Lyu, Siwei; Li, Siyi; Becker, Stefan; Golodetz, Stuart; Kakanuru, Sumithra; Choi, Sunglok; Hu, Tao; Mauthner, Thomas; Zhang, Tianzhu; Pridmore, Tony; Santopietro, Vincenzo; Hu, Weiming; Li, Wenbo; Huebner, Wolfgang; Lan, Xiangyuan; Wang, Xiaomeng; Li, Xin; Li, Yang; Demiris, Yiannis; Wang, Yifan; Qi, Yuankai; Yuan, Zejian; Cai, Zexiong; Xu, Zhan; He, Zhenyu; Chi, Zhizhen


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Article 1

Instance-Specific Canonical Correlation Analysis
Neurocomputing, v. 155, May 2015, p. 205-218
Zhai, Deming; Zhang, Yu; Yeung, Dit Yan; Chang, Hong; Chen, Xilin; Gao, Wen

Conference paper 10

Bayesian Adaptive Matrix Factorization with Automatic Model Selection
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, v. 07-12-June-2015, October 2015, article number 7298733, p. 1284-1292
Chen, Peixian; Wang, Naiyan; Zhang, Nevin Lianwen; Yeung, Dit Yan
Collaborative Deep Learning for Recommender Systems
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, v. 2015-August, August 2015, p. 1235-1244
Wang, Hao; Wang, Naiyan; Yeung, Dit Yan
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Advances in Neural Information Processing Systems, v. 2015-January, 2015, p. 802-810
Shi, Xingjian; Chen, Zhourong; Wang, Hao; Yeung, Dit Yan; Wong, Wai Kin; Woo, Wangchun
DevNet: A Deep Event Network for Multimedia Event Detection and Evidence Recounting
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015), Institute of Electrical and Electronics Engineers (IEEE), 2015, p. 2568-2577
Gan, Chuang; Wang, Naiyan; Yang, Yi; Yeung, Dit Yan; Hauptmann, Alexander G.
Human Action Recognition Using Factorized Spatio-temporal Convolutional Networks
Proceedings: 2015 IEEE International Conference on Computer Vision (ICCV 2015), IEEE, 2015, p. 4597-4605
Sun, Lin; Jia, Kui; Yeung, Dit Yan; Shi, Bertram Emil
Probabilistic Graphical Models for Boosting Cardinal and Ordinal Peer Grading in MOOCs
Proceedings of the AAAI Conference on Artificial Intelligence, v. 29, (1), 2015, article number 9210, p. 454-460
Mi, Fei; Yeung, Dit Yan
Relational stacked denoising autoencoder for tag recommendation
Proceedings of the AAAI Conference on Artificial Intelligence, v. 29, (1), 2015, article number 9548, p. 3052-3058
Wang, Hao; Shi, Xingjian; Yeung, Dit Yan
Temporal Models for Predicting Student Dropout in Massive Open Online Courses
2015 IEEE International Conference on Data Mining Workshop (ICDMW 2015), Institute of Electrical and Electronics Engineers (IEEE), 2015, p. 256-263
Mi, Fei; Yeung, Dit Yan
The Visual Object Tracking VOT2015 Challenge Results
Proceedings of the IEEE International Conference on Computer Vision, v. 2015-February, December 2015, article number 7406428, p. 564-586
Kristan, Matej; Matas, Ji?í George; Leonardis, Ale? De; Felsberg, Michael; ?ehovin, Luka; Fernández, Gustavo Javier; Vojí?, Tomá?; H?ger, Gustav; Nebehay, Georg; Pflugfelder, Roman; Gupta, Abhinav; Bibi, Adel; Luke?i?, Alan; García-Martín, álvaro; Saffari, Amir; Petrosino, Alfredo; Montero, Andrés Solís; Varfolomieiev, Anton; Baskurt, Atilla M.; Zhao, Baojun; Ghanem, Bernard; Martínez, Brais; Lee, Byeongju; Han, Bohyung; Wang, Chaohui; Garcia, Christophe; Zhang, Chunyuan; Schmid, Cordelia; Tao, Dacheng; Kim, Daijin; Huang, Dafei; Prokhorov, Danil V.; Du, Dawei; Yeung, Dit Yan; Ribeiro, Eraldo; Khan, Fahadshahbaz; Porikli, Fatih Murat; Bunyak, Filiz; Zhu, Gao; Seetharaman, Guna S.; Kieritz, Hilke; Yau, Hingtuen; Li, Hongdong; Qi, Honggang; Bischof, Horst; Possegger, Horst; Lee, Hyemin; Nam, Hyeonseob; Bogun, Ivan; Jeong, Jaechan; Cho, Jaeil; Lee, Jaeyeong; Zhu, Jianke; Shi, Jianping; Li, Jiatong; Jia, Jiaya; Feng, Jiayi; Gao, Jin; Choi, Jinyoung; Kim, Jiwan; Lang, Jochen; Martínez, José M.; Choi, Jongwon; Xing, Junliang; Xue, Kai; Palaniappan, Kannappan Pan; Lebeda, Karel; Alahari, Karteek; Gao, Ke; Yun, Kimin; Wong, Kinhong; Luo, Lei; Ma, Liang; Ke, Lipeng; Wen, Longyin; Bertinetto, Luca; Pootschi, Mahdieh; Maresca, Mario Edoardo; Danelljan, Martin; Wen, Mei; Zhang, Mengdan; Arens, Michael; Valstar, Michel F.; Tang, Ming; Chang, Mingching; Khan, Muhammadharis; Fan, Nana; Wang, Naiyan; Miksik, Ondrej; Torr, Philip H S; Wang, Qiang; Martín-Nieto, Rafael; Pelapur, Rengarajan V.; Bowden, Richard; Laganière, Robert; Moujtahid, Salma; Hare, Sam; Hadfield, Simon; Lyu, Siwei; Li, Siyi; Zhu, Songchun; Becker, Stefan; Duffner, Stefan; Hicks, Stephen L.; Golodetz, Stuart M.; Choi, Sunglok; Wu, Tianfu; Mauthner, Thomas; Pridmore, Tony Paul; Hu, Weiming; Hübner, Wolfgang; Wang, Xiaomeng; Li, Xin; Shi, Xinchu; Zhao, Xu; Mei, Xue; Shizeng, Yao; Hua, Yang; Li, Yang; Lu, Yang; Chen, Zhaoyun; Huang, Zehua; Zhang, Zhe; He, Zhenyu; Hong, Zhibin; Li, Yuezun; Chen, Zhe
Understanding and Diagnosing Visual Tracking Systems
Proceedings: 2015 IEEE International Conference on Computer Vision (ICCV 2015), IEEE, 2015, p. 3101-3109
Wang, Naiyan; Shi, Jianping; Yeung, Dit Yan; Jia, Jiaya


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Article 3

A Regularization Approach to Learning Task Relationships in Multitask Learning
ACM Transactions on Knowledge Discovery from Data, v. 8, (3), June 2014, article number 12
Zhang, Yu; Yeung, Dit-Yan
Multicategory large margin classification methods: Hinge losses vs. coherence functions
Artificial Intelligence, v. 215, 2014, p. 55-78
Zhang, Zhihua; Chen, Cheng; Dai, Guang; Li, Wu-Jun; Yeung, Dit-Yan
Semiparametric preference learning
Tsinghua Science and Technology, v. 19, (3), 2014, article number 6838196, p. 257-264
Zhen, Yi; Song, Yangqiu; Yeung, Dityan

Conference paper 1

Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data
31st International Conference on Machine Learning, ICML 2014, v. 4, 2014, p. 2807-2817
Wang, Naiyan; Yeung, Dit Yan


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Article 2

Active Hashing and Its Application to Image and Text Retrieval
Data Mining and Knowledge Discovery, v. 26, (2), March 2013, p. 255-274
Zhen, Yi; Yeung, Dit Yan
Multilabel Relationship Learning
ACM Transactions on Knowledge Discovery from Data, v. 7, (2), July 2013, article number 2499910
Zhang, Yu; Yeung, Dit-Yan

Conference paper 5

Bayesian robust matrix factorization for image and video processing
Proceedings of the IEEE International Conference on Computer Vision, article number 6751332, p. 1785-1792
Wang, Naiyan; Yeung, Dit Yan
Learning a deep compact image representation for visual tracking
Advances in Neural Information Processing Systems, 26, 2013
Wang, Naiyan; Yeung, Dit Yan
Learning High-order Task Relationships in Multi-task Learning
IJCAI International Joint Conference on Artificial Intelligence, 2013, p. 1917-1923
Zhang, Yu; Yeung, Dit-Yan
Online robust non-negative dictionary learning for visual tracking
Proceedings of the IEEE International Conference on Computer Vision, article number 6751191, p. 657-664
Wang, Naiyan; Wang, Jingdong; Yeung, Dit Yan
SCMF: Sparse Covariance Matrix Factorization for Collaborative Filtering
Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, Edited by Francesca Rossi. Menlo Park, California : AAAI Press / International Joint Conferences on Artificial Intelligence, 2013, p. 2705-2711
Shi, Jianping; Wang, Naiyan; Xia, Yang; Yeung, Dit Yan; King, Irwin; Jia, Jiaya


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Article 2

Solution Path for Manifold Regularized Semisupervised Classification
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, v. 42, (2), April 2012, p. 308-319
Wang, Gang; Wang, Fei; Chen, Tao; Yeung, Dit Yan; Lochovsky, Frederick H.
Transfer Metric Learning With Semi-supervised Extension
ACM Transactions on Intelligent Systems and Technology (TIST), v. 3, (3), May 2012, article number 54
Zhang, Yu; Yeung, Dit Yan

Conference paper 7

A probabilistic approach to robust matrix factorization
Twelfth European Conference on Computer Vision (ECCV), Firenze, Italy, 7-13 October 2012, Lecture Notes in Computer Science, v. 7578, (PART 7), 2012, p. 126-139
Wang, Naiyan; Yao, Tian Sheng; Wang, Jing Dong; Yeung, Dit Yan
A probabilistic model for multimodal hash function learning
18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2012, Beijing, China, 12 - 16 August 2012; Code 92573, 2012, p. 940-948
Zhen, Yi; Yeung, Dit Yan
Co-Regularized Hashing for Multimodal Data
Advances in Neural Information Processing Systems, 25, 2012, p. 1376-1384
Zhen, Yi; Yeung, Dit Yan
Multi-task Boosting by Exploiting Task Relationships
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 7523 LNAI, (PART 1), 2012, p. 697-710
Zhang, Yu; Yeung, Dit Yan
Overlapping Community Detection via Bounded Nonnegative Matrix Tri-factorization
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012, p. 606-614
Zhang, Yu; Yeung, Dit Yan
Sparse probabilistic relational projection
Proceedings of the AAAI Conference on Artificial Intelligence, v. 26, (1), 2012, article number 8307, p. 1005-1011
Li, Wu Jun; Yeung, Dit Yan
Supervised Probabilistic Robust Embedding With Sparse Noise
Proceedings of the AAAI Conference on Artificial Intelligence, v. 26, (1), 2012, article number 8301, p. 1226-1232
Zhang, Yu; Yeung, Dit Yan; Xing, Eric P.


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Article 1

Semisupervised Generalized Discriminant Analysis
IEEE Transactions on Neural Networks, v. 22, (8), August 2011, article number 5936122, p. 1207-1217
Zhang, Yu; Yeung, Dit-Yan

Conference paper 5

A convex formulation of modularity maximization for community detection
Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence (IJCAI), Barcelona, Spain, 16-22 July 2011, p. 2218-2225
Chan, Emprise Y.K.; Yeung, Dit-Yan
Discriminative Experimental Design
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 6913 LNAI, (PART 3), 2011, p. 585-596
Zhang, Yu; Yeung, Dit Yan
Generalized latent factor models for social network analysis
Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI), Barcelona, Spain, 16-22 July 2011, p. 1705-1710.
Li, Wu-Jun; Yeung, Dit-Yan; Zhang, Zhihua
Multi-task Learning in Heterogeneous Feature Spaces
Proceedings of the AAAI Conference on Artificial Intelligence, v. 25, (1), 2011, article number 7909, p. 574-579
Zhang, Yu; Yeung, Dit Yan
Social relations model for collaborative filtering
Proceedings of the AAAI Conference on Artificial Intelligence, v. 25, (1), 2011, article number 7948, p. 803-808
Li, Wu Jun; Yeung, Dit Yan


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Article 2

A regularization framework for multiclass classification: A deterministic annealing approach
Pattern recognition, v. 43, (7), 2010, July, p. 2466-2475
Zhang, Zhihua; Wang, Gang; Yeung, Dit-Yan; Dai, Guang; Lochovsky, Frederick
MILD: Multiple-Instance Learning via Disambiguation
IEEE transactions on knowledge and data engineering, v. 22, (1), 2010, January, p. 76-89
Li, Wu-Jun; Yeung, Dit-Yan

Conference paper 11

A Convex Formulation for Learning Task Relationships in Multi-task Learning
Proceedings of the 26th Conference on Uncertainty in Artificial Intelligence, UAI 2010, 2010, p. 733-742
Zhang, Yu; Yeung, Dit Yan
Adaptive Transfer Learning
Proceedings of the AAAI Conference on Artificial Intelligence, v. 24, (1), 2010, article number 7682, p. 407-412
Cao, Bin; Pan, Jialin; Zhang, Yu; Yeung, Dit Yan; Yang, Qiang
Gaussian process latent random field
Proceedings of the AAAI Conference on Artificial Intelligence, v. 24, (1), 2010, article number 7697, p. 679-684
Zhong, Guoqiang; Li, Wujun; Yeung, Dit Yan; Hou, Xinwen; Liu, Cheng Lin
Multi-domain Collaborative Filtering
Proceedings of the 26th Conference on Uncertainty in Artificial Intelligence, UAI 2010, 2010, p. 725-732
Zhang, Yu; Cao, Bin; Yeung, Dit Yan
Multi-task Learning Using Generalized t Process
Proceedings of Machine Learning Research, v. 9, 2010, p. 964-971
Zhang, Yu; Yeung, Dit-Yan
Multi-task Warped Gaussian Process for Personalized Age Estimation
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010, article number 5539975, p. 2622-2629
Zhang, Yu; Yeung, Dit Yan
Probabilistic Multi-task Feature Selection
Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, 2010, p. 9
Zhang, Yu; Yeung, Dit-Yan; Xu, Qian
SED: Supervised experimental design and its application to text classification
SIGIR 2010 Proceedings - 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieva, Geneva, Switzerland, 19 - 23 July 2010, Code 81531, 2010, p. 299-306
Zhen, Yi; Yeung, Dit Yan
Transductive Learning on Adaptive Graphs
Proceedings of the AAAI Conference on Artificial Intelligence, v. 24, (1), 2010, article number 7670, p. 661-666
Zhang, Yan Ming; Zhang, Yu; Yeung, Dit Yan; Liu, Cheng Lin; Hou, Xinwen
Transfer Metric Learning by Learning Task Relationships
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010, p. 1199-1207
Zhang, Yu; Yeung, Dit Yan
Worst-case Linear Discriminant Analysis
Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010, 2010, p. 9
Zhang, Yu; Yeung, Dit-Yan


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Book chapter 1

Learning Inverse Dynamics by Gaussian Process Regression Under the Multi-task Learning Framework
The Path to Autonomous Robots / Editor(s): G. S. Sukhatme. Boston, MA : Springer, 2009, p. 131-142
Yeung, Dit Yan; Zhang, Yu

Conference paper 10

Coherence functions for multicategory margin-based classification methods
Proceedings of Machine Learning Research, v. 5, 2009, p. 647-654
Zhang, Zhihua; Jordan, Michael I.; Li, Wujun; Yeung, Dit Yan
Coherence functions for multicategory margin-based classification methods
Proceedings of Machine Learning Research, v. 5, 2009, p. 647-654
Zhang, Zhihua; Jordan, Michael; Li, Wujun; Yeung, Dit Yan
Heteroscedastic Probabilistic Linear Discriminant Analysis With Semi-supervised Extension
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 5782 LNAI, (PART 2), 2009, p. 602-616
Zhang, Yu; Yeung, Dit Yan
Latent Wishart processes for relational kernel learning
Proceedings of Machine Learning Research, v. 5, 2009, p. 336-343
Li, Wu-Jun; Zhang, Zhihua; Yeung, Dit Yan
Latent Wishart Processes for Relational Kernel Learning
Proceedings of Machine Learning Research, v. 5, 2009, p. 336-343
Li, Wujun; Zhang, Zhihua; Yeung, Dit Yan
Localized content-based image retrieval through evidence region identification
2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009, Miami, FL, United States, 20 - 25 June 2009; Category numberCFP0988A-PRT, Code 78374, 2009, p. 1666-1673
Li, Wu Jun; Yeung, Dit Yan
Probabilistic relational PCA
23rd Annual Conference on Neural Information Processing Systems, Vancouver, Canada, 7-10 December 2009, 2009, p.1123-1131
Li, Wu-Jun; Yeung, Dit Yan; Zhang, Zhihua
Relation Regularized Matrix Factorization
21ST INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI-09), PROCEEDINGS, 2009, p. 1126-1131
Li, Wu-Jun; Yeung, Dit Yan
Semi-supervised Multi-task Regression
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 5782 LNAI, (PART 2), 2009, p. 617-631
Zhang, Yu; Yeung, D.Y.
TagiCoFi: Tag informed collaborative filtering
RecSys'09 - Proceedings of the 3rd ACM Conference on Recommender Systems, New York, NY, United States, 23 - 25 October 2009; Code 78661, 2009, p. 69-76
Zhen, Yi; Li, Wu Jun; Yeung, Dit Yan


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Article 4

A New Solution Path Algorithm in Support Vector Regression
IEEE transactions on neural networks, v. 19, (10), 2008, October, p. 1753-1767
Wang, Gang; Yeung, Dit-Yan; Lochovsky, Frederick H.
A Scalable Kernel-Based Semisupervised Metric Learning Algorithm with Out-of-Sample Generalization Ability
Neural computation, v. 20, (11), 2008, NOV, p. 2839-2861
Yeung, Dit-Yan; Chang, Hong; Dai, Guang
Robust path-based spectral clustering
Pattern recognition, v. 41, (1), 2008, January, p. 191-203
Chang, Hong; Yeung, Dit-Yan
Sliced coordinate analysis for effective dimension reduction and nonlinear extensions
Journal of computational and graphical statistics, v. 17, (1), 2008, March, p. 225-242
Zhang, Zhihua; Yeung, Dit-Yan; Kwok, James Tin-Yau; Chang, Edward Yi

Conference paper 7

Human action recognition using local spatio-temporal discriminant embedding
26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, Anchorage, AK, United States, 23 - 28 June 2008, Category number08CH38011, Code 73561, 2008
Jia, Kui; Yeung, Dit Yan
Learning two-view stereo matching
Lecture Notes in Computer Science, v. 5304, (PART 3), 2008, p. 15-27
Xiao, J.; Chen, J.; Yeung, D.Y.; Quan, L.
Learning Two-View Stereo Matching
10th European Conference on Computer Vision (ECCV 2008), Marseille (France), 12-18 Oct 2008, p. 15-27.
Xiao,Jianxiong; Chen,Jingni; Yeung,Dit-Yan; Quan,Long
Posterior consistency of the Silverman g-prior in Bayesian model choice
Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS), Vancouver, Canada, 8-11 December 2008, p.1969-1976
Zhang, Zhihua; Jordan, Michael; Yeung, Dit Yan
Semi-Supervised Discriminant Analysis using robust path-based similarity
26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2008, article number 4587357
Zhang, Yu; Yeung, Dit-Yan
Semi-supervised Discriminant Analysis via CCCP
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 5212 LNAI, (PART 2), 2008, p. 644-659
Zhang, Yu; Yeung, Dit Yan
Structuring visual words in 3D for arbitrary-view object localization
10th European Conference on Computer Vision, ECCV 2008, Marseille, France, 12 - 18 October 2008, Code 74340, Lecture Notes in Computer Science - Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, v. 5304, (PART 3), 2008, p. 725-737
Xiao, Jianxiong; Chen, Jingni; Yeung, Dit Yan; Quan, Long


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Article 6

A kernel approach for semisupervised metric learning
IEEE transactions on neural networks, v. 18, (1), 2007, January, p. 141-149
Yeung, Dit-Yan; Chang, Hong
Face recognition using a kernel fractional-step discriminant analysis algorithm
Pattern recognition, v. 40, (1), 2007, January, p. 229-243
Dai, Guang; Yeung, Dit-Yan; Qian, Yun-Tao
Kernel-based distance metric learning for content-based image retrieval
Image and vision computing, v. 25, (5), 2007, MAY 1, p. 695-703
Chang, Hong; Yeung, Dit-Yan
Learning the kernel matrix by maximizing a KFD-based class separability criterion
Pattern recognition, v. 40, (7), 2007, July, p. 2021-2028
Yeung, Dit-Yan; Chang, Hong; Dai, Guang
Pulsing RoQ DDoS attack and defense scheme in mobile ad hoc networks
International Journal of Network Security, v. 4, (2), 2007, p. 227-234
Ren, Wei; Jin, Hai; Yeung, Dit Yan; Yang, Mei
Surrogate Maximization/Minimization Algorithms and Extensions
Machine learning, v. 69, (1), 2007, OCT, p. 1-33
Zhang, Zhihua; Kwok, James Tin-Yau; Yeung, Dit Yan

Conference paper 10

A kernel path algorithm for support vector machines
ACM International Conference Proceeding Series, v. 227, 2007, p. 951-958
Wang, Gang; Yeung, Dit-Yan; Lochovsky, Frederick H.
A learning approach to spam detection based on social networks
Fourth Conference on Email and Anti-Spam (CEAS), Mountain View, California, USA, 2-3 August 2007
Lam, Ho-Yu; Yeung, Dit-Yan
A Scalable Kernel-Based Algorithm for Semi-Supervised Metric Learning
20th International Joint Conference on Artificial Intelligence, Hyderabad, India, 6-12 Jan 2007, 2007, p. 1138-1143
Yeung, Dit Yan; Chang, Hong; Dai, Guang
Boosting Kernel Discriminant Analysis and Its Application to Tissue Classification of Gene Expression Data
20th International Joint Conference on Artificial Intelligence, Hyderabad, India, 6-12 January 2007, 2007, p. 744-749
Dai, Guang; Yeung, Dit Yan
Image hallucination using neighbor embedding over visual primitive manifolds
IEEE Conference on Computer Vision & Pattern Recognition (CVPR), CVPR'07, Minneapolis, Minnesota, USA, 17 - 22 June 2007, Code 70350\2007, p. 244-250, Article number 4270026
Fan, Wei; Yeung, Dit-Yan
Kernel selection forl semi-supervised kernel machines
ACM International Conference Proceeding Series, v. 227, 2007, p. 185-192
Dai, Guang; Yeung, Dit Yan
Locally smooth metric learning with application to image retrieval
2007 IEEE 11th International Conference on Computer Vision, ICCV, Rio de Janeiro, Brazil, 14 - 21 October 2007, Category number07CH37946, Code 73231, 2007, Article number 4408862
Chang, Hong; Yeung, Dit Yan
Semi-supervised cast indexing for feature-length films
13th International Multimedia Modeling Conference (MMM 2007) Singapore, 9-12 Jan 2007, Lecture notes in computer science - Advances in Multimedia Modeling, Part 1, v. 4351, 2007, p. 625-635
Fan, Wei; Wang, Tao; Bouguet, Jean Yves; Hu, Wei; Zhang, Yimin; Yeung, Dit Yan
Surrogate maximization/minimization algorithms and extensions
21st International Conference on Machine Learning, ICML'04, Banff, Alberta, Canada, 4-8 July 2004
Zhang, Zhihua; Kwok, James Tin-Yau; Yeung, Dit-Yan
The kernel path in kernelized LASSO
Proceedings of Machine Learning Research, v. 2, 2007, p. 580-587
Wang, Gang; Yeung, Dit Yan; Lochovsky, Frederick H.


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Article 9

Extending kernel Fisher discriminant analysis with the weighted pairwise Chernoff criterion
9th European Conference on Computer Vision, ECCV 2006, Graz, Austria, 7 - 13 May 2006, Code 67754, Lecture notes in computer science - Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, v. 3954, (Part 4), 2006, p. 308-320
Dai, Guang; Yeung, Dit-Yan; Chang, Hong
Extending the relevant component analysis algorithm for metric learning using both positive and negative equivalence constraints
Pattern recognition, v. 39, (5), 2006, MAY, p. 1007-1010
Yeung, Dit-Yan; Chang, Hong
Intrusion detection routers: Design, implementation. and evaluation using an experimental testbed
IEEE journal on selected areas in communications, v. 24, (10), 2006, OCT, p. 1889-1900
Chan, Eric Y.K.; Chan, H.W.; Chan, K.M.; Chan, P.S.; Chanson, Samuel T.; Cheung, M.H.; Chong, C.F.; Chow, K.P.; Hui, Albert K.T.; Hui, Lucas C.K.; Ip, S.K.; Lam, C.K.; Lau, W.C.; Pun, K.H.; Tsang, Y.F.; Tsang, W.W.; Tso, C.W.; Yeung, Dit Yan; Yiu, S.M.; Yu, K.Y.; Ju, Weihua
Locally linear metric adaptation with application to semi-supervised clustering and image retrieval
Pattern recognition, v. 39, (7), 2006, JUL, p. 1253-1264
Chang, Hong; Yeung, Dit Yan
Model-based transductive learning of the kernel matrix
Machine learning, v. 63, (1), 2006, APR, p. 69-101
Zhang, Zhihua; Kwok, James Tin-Yau; Yeung, Dit Yan
Relaxational metric adaptation and its application to semi-supervised clustering and content-based image retrieval
Pattern recognition, v. 39, (10), 2006, October, p. 1905-1917
Chang, Hong; Yeung, Dit-Yan; Cheung, William K.
Robust locally linear embedding
Pattern recognition, v. 39, (6), 2006, JUN, p. 1053-1065
Chang, Hong; Yeung, Dit Yan
TCP performance evaluation over AODV and DSDV in RW and SN mobility models
Journal of Zhejiang University: Science, v. 7, (10), 2006, p. 1683-1689
Ren, W.; Yeung, D.Y.; Jin, H.
Throttling spoofed SYN flooding traffic at the source
Telecommunication Systems, v. 33, (1-3), 2006, November, p. 47-65
Chen, Wei; Yeung, Dit-Yan

Book 1

Structural, Syntactic and Statistical Pattern Recognition: Joint IAPR International Workshops, SSPR 2006 and SPR 2006, Hong Kong, China, August 17-19, 2006: proceedings
Structural, Syntactic and Statistical Pattern Recognition: Joint IAPR International Workshops, SSPR 2006 and SPR 2006, Hong Kong, China, August 17-19, 2006: proceedings / Edited by Dit-Yan Yeung, James T. Kwok, Ana Fred, Fabio Roli, Dick de Ridder. Berlin: Springer, 2006
Yeung, Dit-Yan; Kwok, James T.; Fred, Ana; Roli, Fabio; Ridder, Dick de

Conference paper 12

A coordinated detection and response scheme for distributed denial-of-service attacks
IEEE International Conference on Communications, ICC 2006, Istanbul, Turkey, 11 - 15 July 2006, Category number06CH37799C, Code 71914, v. 5, 2006, Article number 4024486, p. 2165-2170
Lam, Ho Yu; Li, Chi-Pan; Chanson, S.T.; Yeung, Dit Yan
A manifold regularization approach to calibration reduction for sensor-network based tracking
21st National Conference on Artificial Intelligence and the 18th Innovative Applications of Artificial Intelligence Conference, AAAI-06/IAAI-06, Boston, MA, United States, 16 - 20 July 2006, Code 68475, v. 1, 16 July 2006 through 20 July 2006; Code 68475, p. 988-993
Pan, JeffreyJunfeng; Yang, Qiang; Chang, Hong; Yeung, Dityan
Defending against TCP SYN flooding attacks under different types of IP spoofing
Proceedings of the International Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies,ICN/ICONS/MCL'06, Morne, Mauritius, 23 - 29 April 2006, Category numberP2552, Code 68505, v. 2006, 2006, Article number 1628284
Chen, Wei; Yeung, Dit Yan
Face recognition with image sets using hierarchically extracted exemplars from appearance manifolds
FGR 2006: Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition, Southampton, United Kingdom, 10 - 12 April 2006, Category numberP2503, Code 68469, v. 2006, 2006, Article number 1613017, p. 177-182
Fan, Wei; Yeung, Dit Yan
Facial Expression Recognition using Advanced Local Binary Patterns, Tsallis Entropies and Global Appearance Features
Proceedings - International Conference on Image Processing, ICIP, 2006, article number 4106617, p. 665-668
Liao, Shu; Fan, Wei; Chung, Albert Chi Shing; Yeung, Dit-Yan
Graph Laplacian kernels for object classification from a single example
2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2006, New York, NY, United States, 17 - 22 June 2006, Category numberP2597, Code 68806, v. 2, 2006, p. 2011-2016
Chang, Hong; Yeung, Dit Yan
Kernel-based metric adaptation with pairwise constraints
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 3930 LNAI, 2006, p. 721-730
Chang, Hong; Yeung, Dit-Yan
Local discriminant embedding with tensor representation
Proceedings - International Conference on Image Processing, Atlanta, Georgia, USA, Atlanta, GA, United States, 8 - 11 October 2006, Category number06CH37815, Code 82528, 2006, Article number 4106683, p. 929-932
Xia, Jian; Yeung, Dit-Yan; Dai, Guang
Locally linear models on face appearance manifolds with application to dual-subspace based classification
2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2006, New York, NY, United States, 17 - 22 June 2006, Category numberP2597, Code 68806, v. 2, 2006, Article number 1640919, p. 1384-1390
Fan, Wei; Yeung, Dit Yan
Solution path for semi-supervised classification with manifold regularization
Proceedings - IEEE International Conference on Data Mining, 6th International Conference on Data Mining, 2006, p. 1124-1129, Article number 4053165
Wang, Gang; Chen, Tao; Yeung, Dit-Yan; Lochovsky, Frederick H.
Tensor embedding methods
21st National Conference on Artificial Intelligence and the 18th Innovative Applications of Artificial Intelligence Conference, AAAI-06/IAAI-06, Boston, MA, United States, 16 - 20 July 2006, Code 68475, v. 1, 2006, p. 330-335
Dai, Guang; Yeung, Dit Yan
Two-dimensional solution path for support vector regression
ACM International Conference Proceeding Series, v. 148, 2006, p. 993-1000
Wang, Gang; Yeung, Dit Yan; Lochovsky, Frederick H.


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Conference paper 5

Nonlinear dimensionality reduction for classification using kernel weighted subspace method
Proceedings - International Conference on Image Processing (ICIP 2005) Genoa, ITALY, 1-14 Sep 2005, 2005, p. 1633-1636
Dai, Guang; Yeung, Dit Yan
Nonlinear dimensionality reduction for classification using kernel weighted subspace method
Proceedings - International Conference on Image Processing, ICIP, v. 2, 2005, p. 838-841
Dai, G.; Yeung, D.Y.
Robust path-based spectral clustering with application to image segmentation
Proceedings of the IEEE International Conference on Computer Vision, ICCV 2005, Beijing, China, 17 - 20 October 2005, Category numberP2334, Code 66373, v. I, 2005, Article number 1541268, p. 278-285
Chang, Hong; Yeung, Dit Yan
Semisupervised metric learning by kernel matrix adaptation
Proceedings of 2005 International Conference on Machine Learning and Cybernetics, v. 5 / IEEE. Piscataway, NJ : IEEE, 2005, p. 3210-3215
Chang, Hong; Yeung, Dit Yan
Stepwise metric adaptation based on semi-supervised learning for boosting image retrieval performance
Sixteenth British Machine Vision Conference (BMVC), Oxford, UK, pp.21-29, 5-8 September 2005
Chang, Hong; Yeung, Dit-Yan


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Article 3

Special issue on deformable models for image analysis and pattern recognition
International Journal of Image and Graphics, v. 4, (3) July 2004
Yeung, Dit-Yan; Qian, Jian-Zhong
SVC2004: First international signature verification competition
Lecture notes in computer science - Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, v. 3072, 2004, p. 16-22
Yeung, Dit Yan; Chang, Hong; Xiong, Yimin; George, Susan; Kashi, Ramanujan; Matsumoto, Takashi; Rigoll, Gerhard
Time series clustering with ARMA mixtures
Pattern recognition, v. 37, (8), 2004, AUG, p. 1675-1689
Xiong, YM; Yeung, Dit Yan

Conference paper 7

Bayesian inference for transductive learning of kernel matrix using the tanner-wong data augmentation algorithm
21st International Conference on Machine Learning, ICML'04, 2004, p. 935-942
Zhang, Zhihua; Yeung, Dit Yan; Kwok, James Tin-Yau
Bayesian inference on principal component analysis using reversible jump markov chain Monte Carlo
Proceedings of the Nineteenth National Conference on Artificial Intelligence and Sixteenth Innovative Applications of Artificial Intelligence Conference / edited by Anthony Cohn. Palo Alto, California : AAAI Press, 2004, p. 372-377
Zhang, Zhihua; Chan, Kap Luk; Kwok, James Tin-Yau; Yeung, Dit Yan
IDR: An intrusion detection router for defending against Distributed Denial-of-Service (DDoS) attacks
Proceedings of the International Symposium on Parallel Architectures, Algorithms and Networks, I-SPAN, 2004, p. 581-586
Chan, E.Y.K.; Chan, H.W.; Chan, K.M.; Chan, V.P.S.; Chanson, S.T.; Cheung, M.M.H.; Chong, C.F.; Chow, K.P.; Hui, A.K.T.; Hui, L.C.K.; Lam, L.C.K.; Lau, W.C.; Pun, K.K.H.; Tsang, A.Y.F.; Tsang, W.W.; Tso, S.C.W.; Yeung, D.Y.; Yu, K.Y.
Locally linear metric adaptation for semi-supervised clustering
21st International Conference on Machine Learning, ICML'04, 2004, p. 153-160
Chang, Hong; Yeung, Dit Yan
Reinforcement learning in episodic non-stationary markovian environments
Proceedings of the International Conference on Artificial Intelligence, IC-AI'04, v. 2, 2004, p. 752-758
Choi, S.P.M.; Zhang, N.L.; Yeung, D.Y.
Super-resolution through neighbor embedding
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2004, Washington, DC, United States, 27 - 2 July 2004, Code 63645, v. 1, 2004, p. I275-I282
Chang, Hong; Yeung, Dit Yan; Xiong, Yimin
Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model
21st International Conference on Machine Learning, ICML'04, 2004, p. 927-934
Zhang, Zhihua; Kwok, James Tin-Yau; Yeung, Dit Yan


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Article 1

Host-based intrusion detection using dynamic and static behavioral models
Pattern recognition, v. 36, (1), 2003, JAN, p. 229-243
Yeung, Dit-Yan; Ding, Yuxin

Conference paper 1

Parametric distance metric learning with label information
Eighteenth International Joint Conference on Artificial Intelligence (IJCAI), Acapulco, Mexico, 9 - 15 August 2003, Code 97871, v. 2003 pp.1450-1452
Zhang, Zhihua; Kwok, James Tin-Yau; Yeung, Dit-Yan


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Article 2

Bidirectional deformable matching with application to handwritten character extraction
IEEE transactions on pattern analysis and machine intelligence, v. 24, (8), 2002, AUG, p. 1133-1139
Cheung, Kwok Wai; Yeung, Dit Yan; Chin, Roland T.
On deformable models for visual pattern recognition
Pattern recognition, v. 35, (7), 2002, JUL, p. 1507-1526
Cheung, Kwok Wai; Yeung, Dit Yan; Chin, Roland T.

Conference paper 4

Mixtures of ARMA models for model-based time series clustering
2nd IEEE International Conference on Data Mining, ICDM '02, Maebashi, Japan, 9 - 12 December 2002, Category numberPR01754, Code 82449, 2002, p. 717-720
Xiong, Yimin; Yeung, Dit Yan
Multi-model approach to non-stationary reinforcement learning
Sixth IASTED International Conference on Artificial Intelligence and Soft Computing, Banff, Canada, 17-19 July, pp. 350-355
Choi, Samuel P.M.; Yeung, Dit-Yan; Zhang, Nevin L.
Parzen-window network intrusion detectors
Proceedings - International Conference on Pattern Recognition, v. 16, (4), 2002, p. 385-388
Yeung, Dit Yan; Chow, Calvin
User profiling for intrusion detection using dynamic and static behavioral models
Sixth Pacific-Asia Conference on Knowledge Discovery and Data Mining, Taipei, Taiwan, 494-505
Yeung, Dit-Yan; Ding, Yuxin


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Article 1

Error detection, error correction and performance evaluation in on-line mathematical expression recognition
Pattern recognition, v. 34, (8), 2001, AUG, p. 1671-1684
Chan, Kam Fai; Yeung, Dit Yan

Book chapter 1

Hidden-mode Markov decision processes for nonstationary sequential decision making
In Sequence Learning: Paradigms, Algorithms, and Applications / R.Sun & C.L. Giles (eds.). Springer-Verlag, 2001, p. 264-287
Choi, Samuel; Yeung, Dit Yan; Zhang, Nevin L.

Conference paper 2

PenCalc: A novel application of on-line mathematical expression recognition technology
SIXTH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION, PROCEEDINGS (ICDAR) SEATTLE, WA, 10-13 Sep 2001, 2001, p. 774-778
Chan, Kam Fai; Yeung, Dit Yan
Solving hidden-mode Markov decision problems
Proceedings of Machine Learning Research, v. R3, 2001, p. 49-56
Choi, Ping Man Samuel; Zhang, Nevin Lianwen; Yeung, Dit Yan


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Article 2

An efficient syntactic approach to structural analysis of on-line handwritten mathematical expressions
Pattern recognition, v. 33, (3), 2000, MAR, p. 375-384
Chan, Kam Fai; Yeung, Dit Yan
Mathematical expression recognition: a survey
International Journal on Document Analysis and Recognition, v. 3, (1), 2000, p. 3-15
Chan, Kam-Fai; Yeung, Dit-Yan

Conference paper 2

An environment model for nonstationary reinforcement learning
13th Annual Conference on Neural Information Processing Systems (NIPS) CO, 29 NOV - 04 DEC 1999, Advances in neural information processing systems, v. 12, 2000, p. 987-993
Choi, Samuel PM; Yeung, Dit Yan; Zhang, Nevin L.
An Environment Model for Nonstationary Reinforcement Learning
Advances in Neural Information Processing Systems, 2000, p. 307-313
Choi, Samuel Ping Man; Yeung, Dit Yan; Zhang, Nevin L


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Article 1

Recognizing on-line handwritten alphanumeric characters through flexible structural matching
Pattern recognition, v. 32, (7), 1999, JUL, p. 1099-1114
Chan, Kam Fai; Yeung, Dit Yan

Book chapter 2

A simple yet robust structural approach for on-line handwritten alphanumeric character recognition
In Advances in Handwriting Recognition / S.W.Lee (eds.), World Scientific, 1999, p. 39-48
Chan, Kam Fai; Yeung, Dit Yan
Robust deformable matching for character extraction
In Advances in Handwriting Recognition /S.W. Lee (ed.), World Scientific, 1999, p. 235-244
Cheung, Kwok Wai; Yeung, Dit Yan; Chin, Roland T.

Conference paper 2

Bidirectional Matching Algorithm for Deformable Pattern Detection with Application to Handwritten Word Retrieval
Proceedings of the IEEE International Conference on Computer Vision, v. 2, 1999, p. 1105-1110
Cheung, Kwok-Wai; Yeung, Dit Yan; Chin, Roland Tai Hong
Hidden-mode Markov decision processes
Proceedings of the 16th international joint conference on artificial intelligence (IJCAI-99), workshop on neural symbolic, and reinforcement methods for sequence learning, Stockholm, Sweden, 1999, p. 9-14
Choi, Samuel P.M.; Yeung, Dit-Yan; Zhang, Nevin Lianwen


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Article 1

A Bayesian framework for deformable pattern recognition with application to handwritten character recognition
IEEE transactions on pattern analysis and machine intelligence, v. 20, (12), 1998, DEC, p. 1382-1388
Cheung, Kwok Wai; Yeung, Dit Yan; Chin, Roland T.

Book 1

Theoretical Aspects of Neural Computation: A Multidisciplinary Perspective - International Workshop (TANC'97) Hong Kong, 26-28 May 1997
Theoretical Aspects of Neural Computation: A Multidisciplinary Perspective: International Workshop (TANC'97) Hong Kong, 26-28 May 1997 / Wong, Kwok-Yee M., Yeung, Dit-Yan (Eds.) Singapore: Springer-Verlag Singapore, 1998
Wong, Kwok-Yee M.; Yeung, Dit-Yan

Conference paper 3

A simple yet robust structural approach for recognizing on-line handwritten alphanumeric characters
Proceedings of the Sixth International Workshop on Frontiers in Handwriting Recognition, Taejon, Korea, 12-14 August 1998, p. 229-238
Chan, Kam-Fai; Yeung, Dit Yan
Elastic structural matching for on-line handwritten alphanumeric character recognition
14th International Conference on Pattern Recognition, BRISBANE, AUSTRALIA, 16-20 August 1998, International Conference on Pattern Recognition, v. 1&2, 1998, p. 1508-1511
Chan, Kam Fai; Yeung, Dit Yan
Towards Efficient Structural Analysis of Mathematical Expressions
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 1451, 1998, p. 437-444
Chan, Kam Fai; Yeung, Dit Yan


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Article 3

Constructive algorithms for structure learning in feedforward neural networks for regression problems
IEEE transactions on neural networks, v. 8, (3), 1997, MAY, p. 630-645
Kwok, Tin Yau; Yeung, Dit Yan
Objective functions for training new hidden units in constructive neural networks
IEEE transactions on neural networks, v. 8, (5), 1997, SEP, p. 1131-1148
Kwok, Tin Yau; Yeung, Dit Yan
On-line handwritten alphanumeric character recognition using dominant points in strokes
Pattern recognition, v. 30, (1), 1997, JAN, p. 31-44
Li, Xiaolin; Yeung, Dit Yan


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Article 1

Use of bias term in projection pursuit learning improves approximation and convergence properties
IEEE transactions on neural networks, v. 7, (5), 1996, SEP, p. 1168-1183
Kwok, Tin Yau; Yeung, Dit Yan

Conference paper 5

Bayesian regularization in constructive neural networks
Lecture Notes in Computer Science, v. 1112, 1996, p. 557-562
Kwok, James Tin Yau; Yeung, Dit Yan
Competitive Mixture of Deformable Models for Pattern Classification
Proceedings of the IEEE Computer Society Conference on Computer Vision & Pattern Recognition (CVPR'96), 1996, p. 613-618
Cheung, Kwok Wai; Yeung, Dit Yan; Chin, Roland Tai Hong
Predictive Q-routing: A memory-based reinforcement learning approach to adaptive traffic control
9th Annual Conference on Neural Information Processing Systems (NIPS) DENVER, CO, 27-30 Nov 1995, Advances in neural information processing systems - PROCEEDINGS OF THE 1995 CONFERENCE, v. 8, 1996, p. 945-951
Choi, Samuel PM; Yeung, Dit Yan
Recognition of handwritten digits using deformable model
Proceedings of the Fifth International Workshop on Frontiers in Handwriting Recognition (IWFHR), Colchester, England, 2-5 September 1996, p. 259-262
Cheung, Kwok-Wai; Yeung, Dit Yan
Reference priors for neural networks: Laplace versus Gaussian
Proceedings of the International Conference on Neural Information Processing, Hong Kong, September 1996, p. 109–114
Kwok, James Tin-Yau; Yeung, Dit Yan


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Article 2

Chinese glyph generation using character composition and beauty evaluation metrics
Proceedings of the International Conference on Computer Processing of Oriental Languages (ICCPOL), Honolulu, Hawaii, 23-25 November 1995, p. 92-99
Lai, Pak-Keung; Pong, Man-Chi; Yeung, Dit Yan
IMPROVING THE APPROXIMATION AND CONVERGENCE CAPABILITIES OF PROJECTION PURSUIT LEARNING
Neural processing letters, v. 2, (3), 1995, MAY, p. 20-25
KWOK, TIN-YAU; YEUNG, DIT YAN

Book chapter 1

A learning model for the selection of problem-solving strategies in continuous physical systems
In Goal-Driven Learning /D.Leake & A. Ram (eds.), MIT Press, 1995, Ch. 12, p. 307-319
Xia, Xiaodong; Yeung, Dit Yan

Conference paper 5

A grammatical inference approach to on-line handwriting modeling and recognition: A pilot study
Proceedings of the Third International Conference on Document Analysis and Recognition (ICDAR), Montreal, Canada, 14-16 August 1995, p. 1069-1073
Yeung, Dit Yan
A HYBRID EXPERT SYSTEM FOR ERROR MESSAGE CLASSIFICATION
2nd International Workshop on the Application of Neural Network to Telecommunications (IWANNT 95) STOCKHOLM, SWEDEN, 22-24 May 1995, INTERNATIONAL NEURAL NETWORKS SOCIETY SERIES, 1995, p. 339-346
LAU, HC; SZETO, KY; WONG, KYM; YEUNG, DY
A unified framework for handwritten character recognition using deformable models
Proceedings of the Second Asian Conference on Computer Vision (ACCV), Singapore, 5-8 December 1995, p. 344-348
Cheung, Kwok Wai; Yeung, Dit Yan; Chin, Roland T.
Efficient Cross-Validation for Feedforward Neural Networks
Conference Proceedings ofIEEE International Conference on Neural Networks, v. 5, 1995, p. 2789-2794
Kwok, Tin-Yau; Yeung, Dit-Yan
On-line handwritten alphanumeric character recognition using feature sequences
Lecture Notes in Computer Science, v. 1024, 1995, p. 197-204
Li, Xiaolin; Yeung, Dit Yan


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Conference paper 3

A theoretically sound learning algorithm for constructive neural networks
Proceedings of the IEEE International Symposium on Speech, Image Processing and Neural Networks, Hong Kong, April 1994, p. 389–392
Kwok, James Tin-Yau; Yeung, Dit Yan
Constructive Neural Networks : Some Practical Considerations
IEEE International Conference on Neural Networks - Conference Proceedings, v. 1, 1994, p. 198-203
Kwok, James Tin Yau; Yeung, Dit Yan
Gabriel networks: Self-organizing neural networks for adaptive vector quantization
Proceedings of the IEEE International Symposium on Speech, Image Processing and Neural Networks, Hong Kong, 13-16 April 1994, p. 658-661
Mou, Kwok-Leung; Yeung, Dit Yan


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Article 2

CONSTRUCTIVE NEURAL NETWORKS AS ESTIMATORS OF BAYESIAN DISCRIMINANT FUNCTIONS
Pattern recognition, v. 26, (1), 1993, JAN, p. 189-204
YEUNG, DIT YAN
On Reducing Learning Time in Context-Dependent Mappings
IEEE Transactions on Neural Networks, v. 4, (1), Jan 1993, p. 31-42
Yeung, Dit Yan; Bekey, George A.

Conference paper 1

Experimental Analysis Of Input Weight Freezing In Constructive Neural Networks
IEEE International Conference on Neural Networks - Conference Proceedings, v. 1993-January, 1993, p. 511–516, Article number 298610
Kwok, James Tin-Yau; Yeung, Dit Yan


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Conference paper 1

Automatic determination of network size for supervised learning
1991 IEEE International Joint Conference on Neural Networks - IJCNN '91, Singapore, 18 - 21 November 1991, Code 17262, 1992, p. 158-164
Yeung, Dit-Yan


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Conference paper 1

A NEURAL-NETWORK APPROACH TO CONSTRUCTIVE INDUCTION
MACHINE LEARNING: PROCEEDINGS OF THE EIGHTH INTERNATIONAL WORKSHOP (ML91) NORTHWESTERN UNIV, EVANSTON, IL, JUN, 1991, 1991, p. 228-232
YEUNG, DIT YAN


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Conference paper 1

Using a context-sensitive learning network for robot arm control
Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Scottsdale, Arizona, USA, 4-19 May 1989, p. 1441-1447
Yeung, Dit Yan; Bekey, George A.


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Conference paper 4

A learning model for the selection of problem solving strategies in continuous physical system
Proceedings of the IEEE Conference on Artificial Intelligence Applications, San Diego, California, USA, 14-18 March 1988, p. 200-206
Xia, Xiaodong; Yeung, Dit Yan
Adaptive load balancing between mobile robots through learning in an artificial neural system
Proceedings of the American Control Conference (ACC), Atlanta, Georgia, USA, 15-17 June 1988, p. 2299-2304
Yeung, Dit Yan; Bekey, George A.
Game-theoretic interaction among stochastic learning networks for adaptive load balancing
Proceedings of the First Annual Meeting of the International Neural Network Society, Boston, Massachusetts, USA, 6-10 September 1988, p. 368
Yeung, Dit Yan; Bekey, George A.
Supervised learning of action probabilities in associative reinforcement learning
Proceedings of the Connectionist Models Summer School, Carnegie-Mellon University, Pittsburgh, Pennsylvania, USA, 15-17 June 1988, p. 2299-2304
Yeung, Dit Yan


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Article 1

Context-free classification of Mandarin unvoiced initials
Computer Processing of Chinese and Oriental Languages, v. 3, (2), December 1987, p. 66-76
Chan, Chorkin; Yeung, Dit Yan

Conference paper 2

A decentralized approach to the motion planning problem for multiple mobile robots
Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Raleigh, North Carolina, USA, 3 April 1987, p. 1779-1784
Yeung, Dit Yan; Bekey, George A.
Coordinating multiple mobile robots for materials handling
Proceedings of the SME Conference on Artificial Intelligence in Manufacturing, Long Beach, California, USA, 14-16 October 1987, p. 85-99
Yeung, Dit Yan; Bekey, George A.


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Conference paper 1

Context-free classification of unvoiced consonants
Technical Report TR-A2-86, Department of Computer Science, University of Hong Kong, January 1986
Chan, Chorkin; Yeung, Dit Yan


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Conference paper 1

Identification of unaspirated plosives using integrated temporal and spectral features in dynamic representation as acoustic cues
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Tampa, Florida, USA, 1985, p. 1593-1596
Yeung, Dit Yan; Chan, Chorkin


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2016 6

Spectral Multimodal Hashing and Its Application to Multimedia Retrieval
IEEE Transactions on Cybernetics, v. 46, (1), January 2016, article number 7163570, p. 27-38
Zhen, Yi; Gao, Yue; Yeung, Dit Yan; Zha, Hongyuan; Li, Xuelong Article
Towards Bayesian Deep Learning: A Framework and Some Existing Methods
IEEE Transactions on Knowledge and Data Engineering, v. 28, (12), December 2016, article number 7562516, p. 3395-3408
Wang, Hao; Yeung, Dityan Article
Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks
Advances in Neural Information Processing Systems, 2016, p. 415-423
Wang, Hao; Shi, Xingjian; Yeung, Dit Yan Conference paper
Natural parameter networks: a class of probabilistic neural networks
Advances in Neural Information Processing Systems 29 (NIPS 2016), Edited by D.D. Lee, M. Sugiyama, U.V. Luxburg, I. Guyon, R. Garnett. , 2016
Wang, Hao; Shi, Xingjian; Yeung, Dit Yan Conference paper
Natural-Parameter Networks: A Class of Probabilistic Neural Networks
Advances in Neural Information Processing Systems, 2016, p. 118-126
Wang, Hao; Shi, Xingjian; Yeung, Dit Yan Conference paper
The Visual Object Tracking VOT2016 Challenge Results
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 9914 LNCS, 2016, p. 777-823
Kristan, Matej; Leonardis, Ales; Matas, Jiri; Felsberg, Michael; Pflugfelder, Roman; Cehovin, Luka; Vojir, Tomas; Hager, Gustav; Lukezic, Alan; Fernandez, Gustavo; Gupta, Abhinav; Petrosino, Alfredo; Memarmoghadam, Alireza; Garcia-Martin, Alvaro; Montero, Andres Solis; Vedaldi, Andrea; Robinson, Andreas; Ma, Andy J.; Varfolomieiev, Anton; Alatan, Aydin; Erdem, Aykut; Ghanem, Bernard; Liu, Bin; Han, Bohyung; Martinez, Brais; Chang, Chang-Ming; Xu, Changsheng; Sun, Chong; Kim, Daijin; Chen, Dapeng; Du, Dawei; Mishra, Deepak; Yeung, Dit-Yan; Gundogdu, Erhan; Erdem, Erkut; Khan, Fahad; Porikli, Fatih; Zhao, Fei; Bunyak, Filiz; Battistone, Francesco; Zhu, Gao; Roffo, Giorgio; Subrahmanyam, Gorthi R. K. Sai; Bastos, Guilherme; Seetharaman, Guna; Medeiros, Henry; Li, Hongdong; Qi, Honggang; Bischof, Horst; Possegger, Horst; Lu, Huchuan; Lee, Hyemin; Nam, Hyeonseob; Chang, Hyung Jin; Drummond, Isabela; Valmadre, Jack; Jeong, Jae-chan; Cho, Jae-il; Lee, Jae-Yeong; Zhu, Jianke; Feng, Jiayi; Gao, Jin; Choi, Jin Young; Xiao, Jingjing; Kim, Ji-Wan; Jeong, Jiyeoup; Henriques, Joao F.; Lang, Jochen; Choi, Jongwon; Martinez, Jose M.; Xing, Junliang; Gao, Junyu; Palaniappan, Kannappan; Lebeda, Karel; Gao, Ke; Mikolajczyk, Krystian; Qin, Lei; Wang, Lijun; Wen, Longyin; Bertinetto, Luca; Rapuru, Madan Kumar; Poostchi, Mahdieh; Maresca, Mario; Danelljan, Martin; Mueller, Matthias; Zhang, Mengdan; Arens, Michael; Valstar, Michel; Tang, Ming; Baek, Mooyeol; Khan, Muhammad Haris; Wang, Naiyan; Fan, Nana; Al-Shakarji, Noor; Miksik, Ondrej; Akin, Osman; Moallem, Payman; Senna, Pedro; Torr, Philip H. S.; Yuen, Pong C.; Huang, Qingming; Martin-Nieto, Rafael; Pelapur, Rengarajan; Bowden, Richard; Laganiere, Robert; Stolkin, Rustam; Walsh, Ryan; Krah, Sebastian B.; Li, Shengkun; Zhang, Shengping; Yao, Shizeng; Hadfield, Simon; Melzi, Simone; Lyu, Siwei; Li, Siyi; Becker, Stefan; Golodetz, Stuart; Kakanuru, Sumithra; Choi, Sunglok; Hu, Tao; Mauthner, Thomas; Zhang, Tianzhu; Pridmore, Tony; Santopietro, Vincenzo; Hu, Weiming; Li, Wenbo; Huebner, Wolfgang; Lan, Xiangyuan; Wang, Xiaomeng; Li, Xin; Li, Yang; Demiris, Yiannis; Wang, Yifan; Qi, Yuankai; Yuan, Zejian; Cai, Zexiong; Xu, Zhan; He, Zhenyu; Chi, Zhizhen Conference paper

2015 11

Instance-Specific Canonical Correlation Analysis
Neurocomputing, v. 155, May 2015, p. 205-218
Zhai, Deming; Zhang, Yu; Yeung, Dit Yan; Chang, Hong; Chen, Xilin; Gao, Wen Article
Bayesian Adaptive Matrix Factorization with Automatic Model Selection
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, v. 07-12-June-2015, October 2015, article number 7298733, p. 1284-1292
Chen, Peixian; Wang, Naiyan; Zhang, Nevin Lianwen; Yeung, Dit Yan Conference paper
Collaborative Deep Learning for Recommender Systems
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, v. 2015-August, August 2015, p. 1235-1244
Wang, Hao; Wang, Naiyan; Yeung, Dit Yan Conference paper
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Advances in Neural Information Processing Systems, v. 2015-January, 2015, p. 802-810
Shi, Xingjian; Chen, Zhourong; Wang, Hao; Yeung, Dit Yan; Wong, Wai Kin; Woo, Wangchun Conference paper
DevNet: A Deep Event Network for Multimedia Event Detection and Evidence Recounting
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015), Institute of Electrical and Electronics Engineers (IEEE), 2015, p. 2568-2577
Gan, Chuang; Wang, Naiyan; Yang, Yi; Yeung, Dit Yan; Hauptmann, Alexander G. Conference paper
Human Action Recognition Using Factorized Spatio-temporal Convolutional Networks
Proceedings: 2015 IEEE International Conference on Computer Vision (ICCV 2015), IEEE, 2015, p. 4597-4605
Sun, Lin; Jia, Kui; Yeung, Dit Yan; Shi, Bertram Emil Conference paper
Probabilistic Graphical Models for Boosting Cardinal and Ordinal Peer Grading in MOOCs
Proceedings of the AAAI Conference on Artificial Intelligence, v. 29, (1), 2015, article number 9210, p. 454-460
Mi, Fei; Yeung, Dit Yan Conference paper
Relational stacked denoising autoencoder for tag recommendation
Proceedings of the AAAI Conference on Artificial Intelligence, v. 29, (1), 2015, article number 9548, p. 3052-3058
Wang, Hao; Shi, Xingjian; Yeung, Dit Yan Conference paper
Temporal Models for Predicting Student Dropout in Massive Open Online Courses
2015 IEEE International Conference on Data Mining Workshop (ICDMW 2015), Institute of Electrical and Electronics Engineers (IEEE), 2015, p. 256-263
Mi, Fei; Yeung, Dit Yan Conference paper
The Visual Object Tracking VOT2015 Challenge Results
Proceedings of the IEEE International Conference on Computer Vision, v. 2015-February, December 2015, article number 7406428, p. 564-586
Kristan, Matej; Matas, Ji?í George; Leonardis, Ale? De; Felsberg, Michael; ?ehovin, Luka; Fernández, Gustavo Javier; Vojí?, Tomá?; H?ger, Gustav; Nebehay, Georg; Pflugfelder, Roman; Gupta, Abhinav; Bibi, Adel; Luke?i?, Alan; García-Martín, álvaro; Saffari, Amir; Petrosino, Alfredo; Montero, Andrés Solís; Varfolomieiev, Anton; Baskurt, Atilla M.; Zhao, Baojun; Ghanem, Bernard; Martínez, Brais; Lee, Byeongju; Han, Bohyung; Wang, Chaohui; Garcia, Christophe; Zhang, Chunyuan; Schmid, Cordelia; Tao, Dacheng; Kim, Daijin; Huang, Dafei; Prokhorov, Danil V.; Du, Dawei; Yeung, Dit Yan; Ribeiro, Eraldo; Khan, Fahadshahbaz; Porikli, Fatih Murat; Bunyak, Filiz; Zhu, Gao; Seetharaman, Guna S.; Kieritz, Hilke; Yau, Hingtuen; Li, Hongdong; Qi, Honggang; Bischof, Horst; Possegger, Horst; Lee, Hyemin; Nam, Hyeonseob; Bogun, Ivan; Jeong, Jaechan; Cho, Jaeil; Lee, Jaeyeong; Zhu, Jianke; Shi, Jianping; Li, Jiatong; Jia, Jiaya; Feng, Jiayi; Gao, Jin; Choi, Jinyoung; Kim, Jiwan; Lang, Jochen; Martínez, José M.; Choi, Jongwon; Xing, Junliang; Xue, Kai; Palaniappan, Kannappan Pan; Lebeda, Karel; Alahari, Karteek; Gao, Ke; Yun, Kimin; Wong, Kinhong; Luo, Lei; Ma, Liang; Ke, Lipeng; Wen, Longyin; Bertinetto, Luca; Pootschi, Mahdieh; Maresca, Mario Edoardo; Danelljan, Martin; Wen, Mei; Zhang, Mengdan; Arens, Michael; Valstar, Michel F.; Tang, Ming; Chang, Mingching; Khan, Muhammadharis; Fan, Nana; Wang, Naiyan; Miksik, Ondrej; Torr, Philip H S; Wang, Qiang; Martín-Nieto, Rafael; Pelapur, Rengarajan V.; Bowden, Richard; Laganière, Robert; Moujtahid, Salma; Hare, Sam; Hadfield, Simon; Lyu, Siwei; Li, Siyi; Zhu, Songchun; Becker, Stefan; Duffner, Stefan; Hicks, Stephen L.; Golodetz, Stuart M.; Choi, Sunglok; Wu, Tianfu; Mauthner, Thomas; Pridmore, Tony Paul; Hu, Weiming; Hübner, Wolfgang; Wang, Xiaomeng; Li, Xin; Shi, Xinchu; Zhao, Xu; Mei, Xue; Shizeng, Yao; Hua, Yang; Li, Yang; Lu, Yang; Chen, Zhaoyun; Huang, Zehua; Zhang, Zhe; He, Zhenyu; Hong, Zhibin; Li, Yuezun; Chen, Zhe Conference paper
Understanding and Diagnosing Visual Tracking Systems
Proceedings: 2015 IEEE International Conference on Computer Vision (ICCV 2015), IEEE, 2015, p. 3101-3109
Wang, Naiyan; Shi, Jianping; Yeung, Dit Yan; Jia, Jiaya Conference paper

2014 4

A Regularization Approach to Learning Task Relationships in Multitask Learning
ACM Transactions on Knowledge Discovery from Data, v. 8, (3), June 2014, article number 12
Zhang, Yu; Yeung, Dit-Yan Article
Multicategory large margin classification methods: Hinge losses vs. coherence functions
Artificial Intelligence, v. 215, 2014, p. 55-78
Zhang, Zhihua; Chen, Cheng; Dai, Guang; Li, Wu-Jun; Yeung, Dit-Yan Article
Semiparametric preference learning
Tsinghua Science and Technology, v. 19, (3), 2014, article number 6838196, p. 257-264
Zhen, Yi; Song, Yangqiu; Yeung, Dityan Article
Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data
31st International Conference on Machine Learning, ICML 2014, v. 4, 2014, p. 2807-2817
Wang, Naiyan; Yeung, Dit Yan Conference paper

2013 7

Active Hashing and Its Application to Image and Text Retrieval
Data Mining and Knowledge Discovery, v. 26, (2), March 2013, p. 255-274
Zhen, Yi; Yeung, Dit Yan Article
Multilabel Relationship Learning
ACM Transactions on Knowledge Discovery from Data, v. 7, (2), July 2013, article number 2499910
Zhang, Yu; Yeung, Dit-Yan Article
Bayesian robust matrix factorization for image and video processing
Proceedings of the IEEE International Conference on Computer Vision, article number 6751332, p. 1785-1792
Wang, Naiyan; Yeung, Dit Yan Conference paper
Learning a deep compact image representation for visual tracking
Advances in Neural Information Processing Systems, 26, 2013
Wang, Naiyan; Yeung, Dit Yan Conference paper
Learning High-order Task Relationships in Multi-task Learning
IJCAI International Joint Conference on Artificial Intelligence, 2013, p. 1917-1923
Zhang, Yu; Yeung, Dit-Yan Conference paper
Online robust non-negative dictionary learning for visual tracking
Proceedings of the IEEE International Conference on Computer Vision, article number 6751191, p. 657-664
Wang, Naiyan; Wang, Jingdong; Yeung, Dit Yan Conference paper
SCMF: Sparse Covariance Matrix Factorization for Collaborative Filtering
Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, Edited by Francesca Rossi. Menlo Park, California : AAAI Press / International Joint Conferences on Artificial Intelligence, 2013, p. 2705-2711
Shi, Jianping; Wang, Naiyan; Xia, Yang; Yeung, Dit Yan; King, Irwin; Jia, Jiaya Conference paper

2012 9

Solution Path for Manifold Regularized Semisupervised Classification
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, v. 42, (2), April 2012, p. 308-319
Wang, Gang; Wang, Fei; Chen, Tao; Yeung, Dit Yan; Lochovsky, Frederick H. Article
Transfer Metric Learning With Semi-supervised Extension
ACM Transactions on Intelligent Systems and Technology (TIST), v. 3, (3), May 2012, article number 54
Zhang, Yu; Yeung, Dit Yan Article
A probabilistic approach to robust matrix factorization
Twelfth European Conference on Computer Vision (ECCV), Firenze, Italy, 7-13 October 2012, Lecture Notes in Computer Science, v. 7578, (PART 7), 2012, p. 126-139
Wang, Naiyan; Yao, Tian Sheng; Wang, Jing Dong; Yeung, Dit Yan Conference paper
A probabilistic model for multimodal hash function learning
18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2012, Beijing, China, 12 - 16 August 2012; Code 92573, 2012, p. 940-948
Zhen, Yi; Yeung, Dit Yan Conference paper
Co-Regularized Hashing for Multimodal Data
Advances in Neural Information Processing Systems, 25, 2012, p. 1376-1384
Zhen, Yi; Yeung, Dit Yan Conference paper
Multi-task Boosting by Exploiting Task Relationships
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 7523 LNAI, (PART 1), 2012, p. 697-710
Zhang, Yu; Yeung, Dit Yan Conference paper
Overlapping Community Detection via Bounded Nonnegative Matrix Tri-factorization
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012, p. 606-614
Zhang, Yu; Yeung, Dit Yan Conference paper
Sparse probabilistic relational projection
Proceedings of the AAAI Conference on Artificial Intelligence, v. 26, (1), 2012, article number 8307, p. 1005-1011
Li, Wu Jun; Yeung, Dit Yan Conference paper
Supervised Probabilistic Robust Embedding With Sparse Noise
Proceedings of the AAAI Conference on Artificial Intelligence, v. 26, (1), 2012, article number 8301, p. 1226-1232
Zhang, Yu; Yeung, Dit Yan; Xing, Eric P. Conference paper

2011 6

Semisupervised Generalized Discriminant Analysis
IEEE Transactions on Neural Networks, v. 22, (8), August 2011, article number 5936122, p. 1207-1217
Zhang, Yu; Yeung, Dit-Yan Article
A convex formulation of modularity maximization for community detection
Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence (IJCAI), Barcelona, Spain, 16-22 July 2011, p. 2218-2225
Chan, Emprise Y.K.; Yeung, Dit-Yan Conference paper
Discriminative Experimental Design
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 6913 LNAI, (PART 3), 2011, p. 585-596
Zhang, Yu; Yeung, Dit Yan Conference paper
Generalized latent factor models for social network analysis
Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI), Barcelona, Spain, 16-22 July 2011, p. 1705-1710.
Li, Wu-Jun; Yeung, Dit-Yan; Zhang, Zhihua Conference paper
Multi-task Learning in Heterogeneous Feature Spaces
Proceedings of the AAAI Conference on Artificial Intelligence, v. 25, (1), 2011, article number 7909, p. 574-579
Zhang, Yu; Yeung, Dit Yan Conference paper
Social relations model for collaborative filtering
Proceedings of the AAAI Conference on Artificial Intelligence, v. 25, (1), 2011, article number 7948, p. 803-808
Li, Wu Jun; Yeung, Dit Yan Conference paper

2010 13

A regularization framework for multiclass classification: A deterministic annealing approach
Pattern recognition, v. 43, (7), 2010, July, p. 2466-2475
Zhang, Zhihua; Wang, Gang; Yeung, Dit-Yan; Dai, Guang; Lochovsky, Frederick Article
MILD: Multiple-Instance Learning via Disambiguation
IEEE transactions on knowledge and data engineering, v. 22, (1), 2010, January, p. 76-89
Li, Wu-Jun; Yeung, Dit-Yan Article
A Convex Formulation for Learning Task Relationships in Multi-task Learning
Proceedings of the 26th Conference on Uncertainty in Artificial Intelligence, UAI 2010, 2010, p. 733-742
Zhang, Yu; Yeung, Dit Yan Conference paper
Adaptive Transfer Learning
Proceedings of the AAAI Conference on Artificial Intelligence, v. 24, (1), 2010, article number 7682, p. 407-412
Cao, Bin; Pan, Jialin; Zhang, Yu; Yeung, Dit Yan; Yang, Qiang Conference paper
Gaussian process latent random field
Proceedings of the AAAI Conference on Artificial Intelligence, v. 24, (1), 2010, article number 7697, p. 679-684
Zhong, Guoqiang; Li, Wujun; Yeung, Dit Yan; Hou, Xinwen; Liu, Cheng Lin Conference paper
Multi-domain Collaborative Filtering
Proceedings of the 26th Conference on Uncertainty in Artificial Intelligence, UAI 2010, 2010, p. 725-732
Zhang, Yu; Cao, Bin; Yeung, Dit Yan Conference paper
Multi-task Learning Using Generalized t Process
Proceedings of Machine Learning Research, v. 9, 2010, p. 964-971
Zhang, Yu; Yeung, Dit-Yan Conference paper
Multi-task Warped Gaussian Process for Personalized Age Estimation
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010, article number 5539975, p. 2622-2629
Zhang, Yu; Yeung, Dit Yan Conference paper
Probabilistic Multi-task Feature Selection
Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, 2010, p. 9
Zhang, Yu; Yeung, Dit-Yan; Xu, Qian Conference paper
SED: Supervised experimental design and its application to text classification
SIGIR 2010 Proceedings - 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieva, Geneva, Switzerland, 19 - 23 July 2010, Code 81531, 2010, p. 299-306
Zhen, Yi; Yeung, Dit Yan Conference paper
Transductive Learning on Adaptive Graphs
Proceedings of the AAAI Conference on Artificial Intelligence, v. 24, (1), 2010, article number 7670, p. 661-666
Zhang, Yan Ming; Zhang, Yu; Yeung, Dit Yan; Liu, Cheng Lin; Hou, Xinwen Conference paper
Transfer Metric Learning by Learning Task Relationships
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010, p. 1199-1207
Zhang, Yu; Yeung, Dit Yan Conference paper
Worst-case Linear Discriminant Analysis
Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010, 2010, p. 9
Zhang, Yu; Yeung, Dit-Yan Conference paper

2009 11

Learning Inverse Dynamics by Gaussian Process Regression Under the Multi-task Learning Framework
The Path to Autonomous Robots / Editor(s): G. S. Sukhatme. Boston, MA : Springer, 2009, p. 131-142
Yeung, Dit Yan; Zhang, Yu Book chapter
Coherence functions for multicategory margin-based classification methods
Proceedings of Machine Learning Research, v. 5, 2009, p. 647-654
Zhang, Zhihua; Jordan, Michael I.; Li, Wujun; Yeung, Dit Yan Conference paper
Coherence functions for multicategory margin-based classification methods
Proceedings of Machine Learning Research, v. 5, 2009, p. 647-654
Zhang, Zhihua; Jordan, Michael; Li, Wujun; Yeung, Dit Yan Conference paper
Heteroscedastic Probabilistic Linear Discriminant Analysis With Semi-supervised Extension
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 5782 LNAI, (PART 2), 2009, p. 602-616
Zhang, Yu; Yeung, Dit Yan Conference paper
Latent Wishart processes for relational kernel learning
Proceedings of Machine Learning Research, v. 5, 2009, p. 336-343
Li, Wu-Jun; Zhang, Zhihua; Yeung, Dit Yan Conference paper
Latent Wishart Processes for Relational Kernel Learning
Proceedings of Machine Learning Research, v. 5, 2009, p. 336-343
Li, Wujun; Zhang, Zhihua; Yeung, Dit Yan Conference paper
Localized content-based image retrieval through evidence region identification
2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009, Miami, FL, United States, 20 - 25 June 2009; Category numberCFP0988A-PRT, Code 78374, 2009, p. 1666-1673
Li, Wu Jun; Yeung, Dit Yan Conference paper
Probabilistic relational PCA
23rd Annual Conference on Neural Information Processing Systems, Vancouver, Canada, 7-10 December 2009, 2009, p.1123-1131
Li, Wu-Jun; Yeung, Dit Yan; Zhang, Zhihua Conference paper
Relation Regularized Matrix Factorization
21ST INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI-09), PROCEEDINGS, 2009, p. 1126-1131
Li, Wu-Jun; Yeung, Dit Yan Conference paper
Semi-supervised Multi-task Regression
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 5782 LNAI, (PART 2), 2009, p. 617-631
Zhang, Yu; Yeung, D.Y. Conference paper
TagiCoFi: Tag informed collaborative filtering
RecSys'09 - Proceedings of the 3rd ACM Conference on Recommender Systems, New York, NY, United States, 23 - 25 October 2009; Code 78661, 2009, p. 69-76
Zhen, Yi; Li, Wu Jun; Yeung, Dit Yan Conference paper

2008 11

A New Solution Path Algorithm in Support Vector Regression
IEEE transactions on neural networks, v. 19, (10), 2008, October, p. 1753-1767
Wang, Gang; Yeung, Dit-Yan; Lochovsky, Frederick H. Article
A Scalable Kernel-Based Semisupervised Metric Learning Algorithm with Out-of-Sample Generalization Ability
Neural computation, v. 20, (11), 2008, NOV, p. 2839-2861
Yeung, Dit-Yan; Chang, Hong; Dai, Guang Article
Robust path-based spectral clustering
Pattern recognition, v. 41, (1), 2008, January, p. 191-203
Chang, Hong; Yeung, Dit-Yan Article
Sliced coordinate analysis for effective dimension reduction and nonlinear extensions
Journal of computational and graphical statistics, v. 17, (1), 2008, March, p. 225-242
Zhang, Zhihua; Yeung, Dit-Yan; Kwok, James Tin-Yau; Chang, Edward Yi Article
Human action recognition using local spatio-temporal discriminant embedding
26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, Anchorage, AK, United States, 23 - 28 June 2008, Category number08CH38011, Code 73561, 2008
Jia, Kui; Yeung, Dit Yan Conference paper
Learning two-view stereo matching
Lecture Notes in Computer Science, v. 5304, (PART 3), 2008, p. 15-27
Xiao, J.; Chen, J.; Yeung, D.Y.; Quan, L. Conference paper
Learning Two-View Stereo Matching
10th European Conference on Computer Vision (ECCV 2008), Marseille (France), 12-18 Oct 2008, p. 15-27.
Xiao,Jianxiong; Chen,Jingni; Yeung,Dit-Yan; Quan,Long Conference paper
Posterior consistency of the Silverman g-prior in Bayesian model choice
Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS), Vancouver, Canada, 8-11 December 2008, p.1969-1976
Zhang, Zhihua; Jordan, Michael; Yeung, Dit Yan Conference paper
Semi-Supervised Discriminant Analysis using robust path-based similarity
26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2008, article number 4587357
Zhang, Yu; Yeung, Dit-Yan Conference paper
Semi-supervised Discriminant Analysis via CCCP
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 5212 LNAI, (PART 2), 2008, p. 644-659
Zhang, Yu; Yeung, Dit Yan Conference paper
Structuring visual words in 3D for arbitrary-view object localization
10th European Conference on Computer Vision, ECCV 2008, Marseille, France, 12 - 18 October 2008, Code 74340, Lecture Notes in Computer Science - Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, v. 5304, (PART 3), 2008, p. 725-737
Xiao, Jianxiong; Chen, Jingni; Yeung, Dit Yan; Quan, Long Conference paper

2007 16

A kernel approach for semisupervised metric learning
IEEE transactions on neural networks, v. 18, (1), 2007, January, p. 141-149
Yeung, Dit-Yan; Chang, Hong Article
Face recognition using a kernel fractional-step discriminant analysis algorithm
Pattern recognition, v. 40, (1), 2007, January, p. 229-243
Dai, Guang; Yeung, Dit-Yan; Qian, Yun-Tao Article
Kernel-based distance metric learning for content-based image retrieval
Image and vision computing, v. 25, (5), 2007, MAY 1, p. 695-703
Chang, Hong; Yeung, Dit-Yan Article
Learning the kernel matrix by maximizing a KFD-based class separability criterion
Pattern recognition, v. 40, (7), 2007, July, p. 2021-2028
Yeung, Dit-Yan; Chang, Hong; Dai, Guang Article
Pulsing RoQ DDoS attack and defense scheme in mobile ad hoc networks
International Journal of Network Security, v. 4, (2), 2007, p. 227-234
Ren, Wei; Jin, Hai; Yeung, Dit Yan; Yang, Mei Article
Surrogate Maximization/Minimization Algorithms and Extensions
Machine learning, v. 69, (1), 2007, OCT, p. 1-33
Zhang, Zhihua; Kwok, James Tin-Yau; Yeung, Dit Yan Article
A kernel path algorithm for support vector machines
ACM International Conference Proceeding Series, v. 227, 2007, p. 951-958
Wang, Gang; Yeung, Dit-Yan; Lochovsky, Frederick H. Conference paper
A learning approach to spam detection based on social networks
Fourth Conference on Email and Anti-Spam (CEAS), Mountain View, California, USA, 2-3 August 2007
Lam, Ho-Yu; Yeung, Dit-Yan Conference paper
A Scalable Kernel-Based Algorithm for Semi-Supervised Metric Learning
20th International Joint Conference on Artificial Intelligence, Hyderabad, India, 6-12 Jan 2007, 2007, p. 1138-1143
Yeung, Dit Yan; Chang, Hong; Dai, Guang Conference paper
Boosting Kernel Discriminant Analysis and Its Application to Tissue Classification of Gene Expression Data
20th International Joint Conference on Artificial Intelligence, Hyderabad, India, 6-12 January 2007, 2007, p. 744-749
Dai, Guang; Yeung, Dit Yan Conference paper
Image hallucination using neighbor embedding over visual primitive manifolds
IEEE Conference on Computer Vision & Pattern Recognition (CVPR), CVPR'07, Minneapolis, Minnesota, USA, 17 - 22 June 2007, Code 70350\2007, p. 244-250, Article number 4270026
Fan, Wei; Yeung, Dit-Yan Conference paper
Kernel selection forl semi-supervised kernel machines
ACM International Conference Proceeding Series, v. 227, 2007, p. 185-192
Dai, Guang; Yeung, Dit Yan Conference paper
Locally smooth metric learning with application to image retrieval
2007 IEEE 11th International Conference on Computer Vision, ICCV, Rio de Janeiro, Brazil, 14 - 21 October 2007, Category number07CH37946, Code 73231, 2007, Article number 4408862
Chang, Hong; Yeung, Dit Yan Conference paper
Semi-supervised cast indexing for feature-length films
13th International Multimedia Modeling Conference (MMM 2007) Singapore, 9-12 Jan 2007, Lecture notes in computer science - Advances in Multimedia Modeling, Part 1, v. 4351, 2007, p. 625-635
Fan, Wei; Wang, Tao; Bouguet, Jean Yves; Hu, Wei; Zhang, Yimin; Yeung, Dit Yan Conference paper
Surrogate maximization/minimization algorithms and extensions
21st International Conference on Machine Learning, ICML'04, Banff, Alberta, Canada, 4-8 July 2004
Zhang, Zhihua; Kwok, James Tin-Yau; Yeung, Dit-Yan Conference paper
The kernel path in kernelized LASSO
Proceedings of Machine Learning Research, v. 2, 2007, p. 580-587
Wang, Gang; Yeung, Dit Yan; Lochovsky, Frederick H. Conference paper

2006 22

Extending kernel Fisher discriminant analysis with the weighted pairwise Chernoff criterion
9th European Conference on Computer Vision, ECCV 2006, Graz, Austria, 7 - 13 May 2006, Code 67754, Lecture notes in computer science - Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, v. 3954, (Part 4), 2006, p. 308-320
Dai, Guang; Yeung, Dit-Yan; Chang, Hong Article
Extending the relevant component analysis algorithm for metric learning using both positive and negative equivalence constraints
Pattern recognition, v. 39, (5), 2006, MAY, p. 1007-1010
Yeung, Dit-Yan; Chang, Hong Article
Intrusion detection routers: Design, implementation. and evaluation using an experimental testbed
IEEE journal on selected areas in communications, v. 24, (10), 2006, OCT, p. 1889-1900
Chan, Eric Y.K.; Chan, H.W.; Chan, K.M.; Chan, P.S.; Chanson, Samuel T.; Cheung, M.H.; Chong, C.F.; Chow, K.P.; Hui, Albert K.T.; Hui, Lucas C.K.; Ip, S.K.; Lam, C.K.; Lau, W.C.; Pun, K.H.; Tsang, Y.F.; Tsang, W.W.; Tso, C.W.; Yeung, Dit Yan; Yiu, S.M.; Yu, K.Y.; Ju, Weihua Article
Locally linear metric adaptation with application to semi-supervised clustering and image retrieval
Pattern recognition, v. 39, (7), 2006, JUL, p. 1253-1264
Chang, Hong; Yeung, Dit Yan Article
Model-based transductive learning of the kernel matrix
Machine learning, v. 63, (1), 2006, APR, p. 69-101
Zhang, Zhihua; Kwok, James Tin-Yau; Yeung, Dit Yan Article
Relaxational metric adaptation and its application to semi-supervised clustering and content-based image retrieval
Pattern recognition, v. 39, (10), 2006, October, p. 1905-1917
Chang, Hong; Yeung, Dit-Yan; Cheung, William K. Article
Robust locally linear embedding
Pattern recognition, v. 39, (6), 2006, JUN, p. 1053-1065
Chang, Hong; Yeung, Dit Yan Article
TCP performance evaluation over AODV and DSDV in RW and SN mobility models
Journal of Zhejiang University: Science, v. 7, (10), 2006, p. 1683-1689
Ren, W.; Yeung, D.Y.; Jin, H. Article
Throttling spoofed SYN flooding traffic at the source
Telecommunication Systems, v. 33, (1-3), 2006, November, p. 47-65
Chen, Wei; Yeung, Dit-Yan Article
Structural, Syntactic and Statistical Pattern Recognition: Joint IAPR International Workshops, SSPR 2006 and SPR 2006, Hong Kong, China, August 17-19, 2006: proceedings
Structural, Syntactic and Statistical Pattern Recognition: Joint IAPR International Workshops, SSPR 2006 and SPR 2006, Hong Kong, China, August 17-19, 2006: proceedings / Edited by Dit-Yan Yeung, James T. Kwok, Ana Fred, Fabio Roli, Dick de Ridder. Berlin: Springer, 2006
Yeung, Dit-Yan; Kwok, James T.; Fred, Ana; Roli, Fabio; Ridder, Dick de Book
A coordinated detection and response scheme for distributed denial-of-service attacks
IEEE International Conference on Communications, ICC 2006, Istanbul, Turkey, 11 - 15 July 2006, Category number06CH37799C, Code 71914, v. 5, 2006, Article number 4024486, p. 2165-2170
Lam, Ho Yu; Li, Chi-Pan; Chanson, S.T.; Yeung, Dit Yan Conference paper
A manifold regularization approach to calibration reduction for sensor-network based tracking
21st National Conference on Artificial Intelligence and the 18th Innovative Applications of Artificial Intelligence Conference, AAAI-06/IAAI-06, Boston, MA, United States, 16 - 20 July 2006, Code 68475, v. 1, 16 July 2006 through 20 July 2006; Code 68475, p. 988-993
Pan, JeffreyJunfeng; Yang, Qiang; Chang, Hong; Yeung, Dityan Conference paper
Defending against TCP SYN flooding attacks under different types of IP spoofing
Proceedings of the International Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies,ICN/ICONS/MCL'06, Morne, Mauritius, 23 - 29 April 2006, Category numberP2552, Code 68505, v. 2006, 2006, Article number 1628284
Chen, Wei; Yeung, Dit Yan Conference paper
Face recognition with image sets using hierarchically extracted exemplars from appearance manifolds
FGR 2006: Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition, Southampton, United Kingdom, 10 - 12 April 2006, Category numberP2503, Code 68469, v. 2006, 2006, Article number 1613017, p. 177-182
Fan, Wei; Yeung, Dit Yan Conference paper
Facial Expression Recognition using Advanced Local Binary Patterns, Tsallis Entropies and Global Appearance Features
Proceedings - International Conference on Image Processing, ICIP, 2006, article number 4106617, p. 665-668
Liao, Shu; Fan, Wei; Chung, Albert Chi Shing; Yeung, Dit-Yan Conference paper
Graph Laplacian kernels for object classification from a single example
2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2006, New York, NY, United States, 17 - 22 June 2006, Category numberP2597, Code 68806, v. 2, 2006, p. 2011-2016
Chang, Hong; Yeung, Dit Yan Conference paper
Kernel-based metric adaptation with pairwise constraints
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 3930 LNAI, 2006, p. 721-730
Chang, Hong; Yeung, Dit-Yan Conference paper
Local discriminant embedding with tensor representation
Proceedings - International Conference on Image Processing, Atlanta, Georgia, USA, Atlanta, GA, United States, 8 - 11 October 2006, Category number06CH37815, Code 82528, 2006, Article number 4106683, p. 929-932
Xia, Jian; Yeung, Dit-Yan; Dai, Guang Conference paper
Locally linear models on face appearance manifolds with application to dual-subspace based classification
2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2006, New York, NY, United States, 17 - 22 June 2006, Category numberP2597, Code 68806, v. 2, 2006, Article number 1640919, p. 1384-1390
Fan, Wei; Yeung, Dit Yan Conference paper
Solution path for semi-supervised classification with manifold regularization
Proceedings - IEEE International Conference on Data Mining, 6th International Conference on Data Mining, 2006, p. 1124-1129, Article number 4053165
Wang, Gang; Chen, Tao; Yeung, Dit-Yan; Lochovsky, Frederick H. Conference paper
Tensor embedding methods
21st National Conference on Artificial Intelligence and the 18th Innovative Applications of Artificial Intelligence Conference, AAAI-06/IAAI-06, Boston, MA, United States, 16 - 20 July 2006, Code 68475, v. 1, 2006, p. 330-335
Dai, Guang; Yeung, Dit Yan Conference paper
Two-dimensional solution path for support vector regression
ACM International Conference Proceeding Series, v. 148, 2006, p. 993-1000
Wang, Gang; Yeung, Dit Yan; Lochovsky, Frederick H. Conference paper

2005 5

Nonlinear dimensionality reduction for classification using kernel weighted subspace method
Proceedings - International Conference on Image Processing (ICIP 2005) Genoa, ITALY, 1-14 Sep 2005, 2005, p. 1633-1636
Dai, Guang; Yeung, Dit Yan Conference paper
Nonlinear dimensionality reduction for classification using kernel weighted subspace method
Proceedings - International Conference on Image Processing, ICIP, v. 2, 2005, p. 838-841
Dai, G.; Yeung, D.Y. Conference paper
Robust path-based spectral clustering with application to image segmentation
Proceedings of the IEEE International Conference on Computer Vision, ICCV 2005, Beijing, China, 17 - 20 October 2005, Category numberP2334, Code 66373, v. I, 2005, Article number 1541268, p. 278-285
Chang, Hong; Yeung, Dit Yan Conference paper
Semisupervised metric learning by kernel matrix adaptation
Proceedings of 2005 International Conference on Machine Learning and Cybernetics, v. 5 / IEEE. Piscataway, NJ : IEEE, 2005, p. 3210-3215
Chang, Hong; Yeung, Dit Yan Conference paper
Stepwise metric adaptation based on semi-supervised learning for boosting image retrieval performance
Sixteenth British Machine Vision Conference (BMVC), Oxford, UK, pp.21-29, 5-8 September 2005
Chang, Hong; Yeung, Dit-Yan Conference paper

2004 10

Special issue on deformable models for image analysis and pattern recognition
International Journal of Image and Graphics, v. 4, (3) July 2004
Yeung, Dit-Yan; Qian, Jian-Zhong Article
SVC2004: First international signature verification competition
Lecture notes in computer science - Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, v. 3072, 2004, p. 16-22
Yeung, Dit Yan; Chang, Hong; Xiong, Yimin; George, Susan; Kashi, Ramanujan; Matsumoto, Takashi; Rigoll, Gerhard Article
Time series clustering with ARMA mixtures
Pattern recognition, v. 37, (8), 2004, AUG, p. 1675-1689
Xiong, YM; Yeung, Dit Yan Article
Bayesian inference for transductive learning of kernel matrix using the tanner-wong data augmentation algorithm
21st International Conference on Machine Learning, ICML'04, 2004, p. 935-942
Zhang, Zhihua; Yeung, Dit Yan; Kwok, James Tin-Yau Conference paper
Bayesian inference on principal component analysis using reversible jump markov chain Monte Carlo
Proceedings of the Nineteenth National Conference on Artificial Intelligence and Sixteenth Innovative Applications of Artificial Intelligence Conference / edited by Anthony Cohn. Palo Alto, California : AAAI Press, 2004, p. 372-377
Zhang, Zhihua; Chan, Kap Luk; Kwok, James Tin-Yau; Yeung, Dit Yan Conference paper
IDR: An intrusion detection router for defending against Distributed Denial-of-Service (DDoS) attacks
Proceedings of the International Symposium on Parallel Architectures, Algorithms and Networks, I-SPAN, 2004, p. 581-586
Chan, E.Y.K.; Chan, H.W.; Chan, K.M.; Chan, V.P.S.; Chanson, S.T.; Cheung, M.M.H.; Chong, C.F.; Chow, K.P.; Hui, A.K.T.; Hui, L.C.K.; Lam, L.C.K.; Lau, W.C.; Pun, K.K.H.; Tsang, A.Y.F.; Tsang, W.W.; Tso, S.C.W.; Yeung, D.Y.; Yu, K.Y. Conference paper
Locally linear metric adaptation for semi-supervised clustering
21st International Conference on Machine Learning, ICML'04, 2004, p. 153-160
Chang, Hong; Yeung, Dit Yan Conference paper
Reinforcement learning in episodic non-stationary markovian environments
Proceedings of the International Conference on Artificial Intelligence, IC-AI'04, v. 2, 2004, p. 752-758
Choi, S.P.M.; Zhang, N.L.; Yeung, D.Y. Conference paper
Super-resolution through neighbor embedding
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2004, Washington, DC, United States, 27 - 2 July 2004, Code 63645, v. 1, 2004, p. I275-I282
Chang, Hong; Yeung, Dit Yan; Xiong, Yimin Conference paper
Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model
21st International Conference on Machine Learning, ICML'04, 2004, p. 927-934
Zhang, Zhihua; Kwok, James Tin-Yau; Yeung, Dit Yan Conference paper

2003 2

Host-based intrusion detection using dynamic and static behavioral models
Pattern recognition, v. 36, (1), 2003, JAN, p. 229-243
Yeung, Dit-Yan; Ding, Yuxin Article
Parametric distance metric learning with label information
Eighteenth International Joint Conference on Artificial Intelligence (IJCAI), Acapulco, Mexico, 9 - 15 August 2003, Code 97871, v. 2003 pp.1450-1452
Zhang, Zhihua; Kwok, James Tin-Yau; Yeung, Dit-Yan Conference paper

2002 6

Bidirectional deformable matching with application to handwritten character extraction
IEEE transactions on pattern analysis and machine intelligence, v. 24, (8), 2002, AUG, p. 1133-1139
Cheung, Kwok Wai; Yeung, Dit Yan; Chin, Roland T. Article
On deformable models for visual pattern recognition
Pattern recognition, v. 35, (7), 2002, JUL, p. 1507-1526
Cheung, Kwok Wai; Yeung, Dit Yan; Chin, Roland T. Article
Mixtures of ARMA models for model-based time series clustering
2nd IEEE International Conference on Data Mining, ICDM '02, Maebashi, Japan, 9 - 12 December 2002, Category numberPR01754, Code 82449, 2002, p. 717-720
Xiong, Yimin; Yeung, Dit Yan Conference paper
Multi-model approach to non-stationary reinforcement learning
Sixth IASTED International Conference on Artificial Intelligence and Soft Computing, Banff, Canada, 17-19 July, pp. 350-355
Choi, Samuel P.M.; Yeung, Dit-Yan; Zhang, Nevin L. Conference paper
Parzen-window network intrusion detectors
Proceedings - International Conference on Pattern Recognition, v. 16, (4), 2002, p. 385-388
Yeung, Dit Yan; Chow, Calvin Conference paper
User profiling for intrusion detection using dynamic and static behavioral models
Sixth Pacific-Asia Conference on Knowledge Discovery and Data Mining, Taipei, Taiwan, 494-505
Yeung, Dit-Yan; Ding, Yuxin Conference paper

2001 4

Error detection, error correction and performance evaluation in on-line mathematical expression recognition
Pattern recognition, v. 34, (8), 2001, AUG, p. 1671-1684
Chan, Kam Fai; Yeung, Dit Yan Article
Hidden-mode Markov decision processes for nonstationary sequential decision making
In Sequence Learning: Paradigms, Algorithms, and Applications / R.Sun & C.L. Giles (eds.). Springer-Verlag, 2001, p. 264-287
Choi, Samuel; Yeung, Dit Yan; Zhang, Nevin L. Book chapter
PenCalc: A novel application of on-line mathematical expression recognition technology
SIXTH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION, PROCEEDINGS (ICDAR) SEATTLE, WA, 10-13 Sep 2001, 2001, p. 774-778
Chan, Kam Fai; Yeung, Dit Yan Conference paper
Solving hidden-mode Markov decision problems
Proceedings of Machine Learning Research, v. R3, 2001, p. 49-56
Choi, Ping Man Samuel; Zhang, Nevin Lianwen; Yeung, Dit Yan Conference paper

2000 4

An efficient syntactic approach to structural analysis of on-line handwritten mathematical expressions
Pattern recognition, v. 33, (3), 2000, MAR, p. 375-384
Chan, Kam Fai; Yeung, Dit Yan Article
Mathematical expression recognition: a survey
International Journal on Document Analysis and Recognition, v. 3, (1), 2000, p. 3-15
Chan, Kam-Fai; Yeung, Dit-Yan Article
An environment model for nonstationary reinforcement learning
13th Annual Conference on Neural Information Processing Systems (NIPS) CO, 29 NOV - 04 DEC 1999, Advances in neural information processing systems, v. 12, 2000, p. 987-993
Choi, Samuel PM; Yeung, Dit Yan; Zhang, Nevin L. Conference paper
An Environment Model for Nonstationary Reinforcement Learning
Advances in Neural Information Processing Systems, 2000, p. 307-313
Choi, Samuel Ping Man; Yeung, Dit Yan; Zhang, Nevin L Conference paper

1999 5

Recognizing on-line handwritten alphanumeric characters through flexible structural matching
Pattern recognition, v. 32, (7), 1999, JUL, p. 1099-1114
Chan, Kam Fai; Yeung, Dit Yan Article
A simple yet robust structural approach for on-line handwritten alphanumeric character recognition
In Advances in Handwriting Recognition / S.W.Lee (eds.), World Scientific, 1999, p. 39-48
Chan, Kam Fai; Yeung, Dit Yan Book chapter
Robust deformable matching for character extraction
In Advances in Handwriting Recognition /S.W. Lee (ed.), World Scientific, 1999, p. 235-244
Cheung, Kwok Wai; Yeung, Dit Yan; Chin, Roland T. Book chapter
Bidirectional Matching Algorithm for Deformable Pattern Detection with Application to Handwritten Word Retrieval
Proceedings of the IEEE International Conference on Computer Vision, v. 2, 1999, p. 1105-1110
Cheung, Kwok-Wai; Yeung, Dit Yan; Chin, Roland Tai Hong Conference paper
Hidden-mode Markov decision processes
Proceedings of the 16th international joint conference on artificial intelligence (IJCAI-99), workshop on neural symbolic, and reinforcement methods for sequence learning, Stockholm, Sweden, 1999, p. 9-14
Choi, Samuel P.M.; Yeung, Dit-Yan; Zhang, Nevin Lianwen Conference paper

1998 5

A Bayesian framework for deformable pattern recognition with application to handwritten character recognition
IEEE transactions on pattern analysis and machine intelligence, v. 20, (12), 1998, DEC, p. 1382-1388
Cheung, Kwok Wai; Yeung, Dit Yan; Chin, Roland T. Article
Theoretical Aspects of Neural Computation: A Multidisciplinary Perspective - International Workshop (TANC'97) Hong Kong, 26-28 May 1997
Theoretical Aspects of Neural Computation: A Multidisciplinary Perspective: International Workshop (TANC'97) Hong Kong, 26-28 May 1997 / Wong, Kwok-Yee M., Yeung, Dit-Yan (Eds.) Singapore: Springer-Verlag Singapore, 1998
Wong, Kwok-Yee M.; Yeung, Dit-Yan Book
A simple yet robust structural approach for recognizing on-line handwritten alphanumeric characters
Proceedings of the Sixth International Workshop on Frontiers in Handwriting Recognition, Taejon, Korea, 12-14 August 1998, p. 229-238
Chan, Kam-Fai; Yeung, Dit Yan Conference paper
Elastic structural matching for on-line handwritten alphanumeric character recognition
14th International Conference on Pattern Recognition, BRISBANE, AUSTRALIA, 16-20 August 1998, International Conference on Pattern Recognition, v. 1&2, 1998, p. 1508-1511
Chan, Kam Fai; Yeung, Dit Yan Conference paper
Towards Efficient Structural Analysis of Mathematical Expressions
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 1451, 1998, p. 437-444
Chan, Kam Fai; Yeung, Dit Yan Conference paper

1997 3

Constructive algorithms for structure learning in feedforward neural networks for regression problems
IEEE transactions on neural networks, v. 8, (3), 1997, MAY, p. 630-645
Kwok, Tin Yau; Yeung, Dit Yan Article
Objective functions for training new hidden units in constructive neural networks
IEEE transactions on neural networks, v. 8, (5), 1997, SEP, p. 1131-1148
Kwok, Tin Yau; Yeung, Dit Yan Article
On-line handwritten alphanumeric character recognition using dominant points in strokes
Pattern recognition, v. 30, (1), 1997, JAN, p. 31-44
Li, Xiaolin; Yeung, Dit Yan Article

1996 6

Use of bias term in projection pursuit learning improves approximation and convergence properties
IEEE transactions on neural networks, v. 7, (5), 1996, SEP, p. 1168-1183
Kwok, Tin Yau; Yeung, Dit Yan Article
Bayesian regularization in constructive neural networks
Lecture Notes in Computer Science, v. 1112, 1996, p. 557-562
Kwok, James Tin Yau; Yeung, Dit Yan Conference paper
Competitive Mixture of Deformable Models for Pattern Classification
Proceedings of the IEEE Computer Society Conference on Computer Vision & Pattern Recognition (CVPR'96), 1996, p. 613-618
Cheung, Kwok Wai; Yeung, Dit Yan; Chin, Roland Tai Hong Conference paper
Predictive Q-routing: A memory-based reinforcement learning approach to adaptive traffic control
9th Annual Conference on Neural Information Processing Systems (NIPS) DENVER, CO, 27-30 Nov 1995, Advances in neural information processing systems - PROCEEDINGS OF THE 1995 CONFERENCE, v. 8, 1996, p. 945-951
Choi, Samuel PM; Yeung, Dit Yan Conference paper
Recognition of handwritten digits using deformable model
Proceedings of the Fifth International Workshop on Frontiers in Handwriting Recognition (IWFHR), Colchester, England, 2-5 September 1996, p. 259-262
Cheung, Kwok-Wai; Yeung, Dit Yan Conference paper
Reference priors for neural networks: Laplace versus Gaussian
Proceedings of the International Conference on Neural Information Processing, Hong Kong, September 1996, p. 109–114
Kwok, James Tin-Yau; Yeung, Dit Yan Conference paper

1995 8

Chinese glyph generation using character composition and beauty evaluation metrics
Proceedings of the International Conference on Computer Processing of Oriental Languages (ICCPOL), Honolulu, Hawaii, 23-25 November 1995, p. 92-99
Lai, Pak-Keung; Pong, Man-Chi; Yeung, Dit Yan Article
IMPROVING THE APPROXIMATION AND CONVERGENCE CAPABILITIES OF PROJECTION PURSUIT LEARNING
Neural processing letters, v. 2, (3), 1995, MAY, p. 20-25
KWOK, TIN-YAU; YEUNG, DIT YAN Article
A learning model for the selection of problem-solving strategies in continuous physical systems
In Goal-Driven Learning /D.Leake & A. Ram (eds.), MIT Press, 1995, Ch. 12, p. 307-319
Xia, Xiaodong; Yeung, Dit Yan Book chapter
A grammatical inference approach to on-line handwriting modeling and recognition: A pilot study
Proceedings of the Third International Conference on Document Analysis and Recognition (ICDAR), Montreal, Canada, 14-16 August 1995, p. 1069-1073
Yeung, Dit Yan Conference paper
A HYBRID EXPERT SYSTEM FOR ERROR MESSAGE CLASSIFICATION
2nd International Workshop on the Application of Neural Network to Telecommunications (IWANNT 95) STOCKHOLM, SWEDEN, 22-24 May 1995, INTERNATIONAL NEURAL NETWORKS SOCIETY SERIES, 1995, p. 339-346
LAU, HC; SZETO, KY; WONG, KYM; YEUNG, DY Conference paper
A unified framework for handwritten character recognition using deformable models
Proceedings of the Second Asian Conference on Computer Vision (ACCV), Singapore, 5-8 December 1995, p. 344-348
Cheung, Kwok Wai; Yeung, Dit Yan; Chin, Roland T. Conference paper
Efficient Cross-Validation for Feedforward Neural Networks
Conference Proceedings ofIEEE International Conference on Neural Networks, v. 5, 1995, p. 2789-2794
Kwok, Tin-Yau; Yeung, Dit-Yan Conference paper
On-line handwritten alphanumeric character recognition using feature sequences
Lecture Notes in Computer Science, v. 1024, 1995, p. 197-204
Li, Xiaolin; Yeung, Dit Yan Conference paper

1994 3

A theoretically sound learning algorithm for constructive neural networks
Proceedings of the IEEE International Symposium on Speech, Image Processing and Neural Networks, Hong Kong, April 1994, p. 389–392
Kwok, James Tin-Yau; Yeung, Dit Yan Conference paper
Constructive Neural Networks : Some Practical Considerations
IEEE International Conference on Neural Networks - Conference Proceedings, v. 1, 1994, p. 198-203
Kwok, James Tin Yau; Yeung, Dit Yan Conference paper
Gabriel networks: Self-organizing neural networks for adaptive vector quantization
Proceedings of the IEEE International Symposium on Speech, Image Processing and Neural Networks, Hong Kong, 13-16 April 1994, p. 658-661
Mou, Kwok-Leung; Yeung, Dit Yan Conference paper

1993 3

CONSTRUCTIVE NEURAL NETWORKS AS ESTIMATORS OF BAYESIAN DISCRIMINANT FUNCTIONS
Pattern recognition, v. 26, (1), 1993, JAN, p. 189-204
YEUNG, DIT YAN Article
On Reducing Learning Time in Context-Dependent Mappings
IEEE Transactions on Neural Networks, v. 4, (1), Jan 1993, p. 31-42
Yeung, Dit Yan; Bekey, George A. Article
Experimental Analysis Of Input Weight Freezing In Constructive Neural Networks
IEEE International Conference on Neural Networks - Conference Proceedings, v. 1993-January, 1993, p. 511–516, Article number 298610
Kwok, James Tin-Yau; Yeung, Dit Yan Conference paper

1992 1

Automatic determination of network size for supervised learning
1991 IEEE International Joint Conference on Neural Networks - IJCNN '91, Singapore, 18 - 21 November 1991, Code 17262, 1992, p. 158-164
Yeung, Dit-Yan Conference paper

1991 1

A NEURAL-NETWORK APPROACH TO CONSTRUCTIVE INDUCTION
MACHINE LEARNING: PROCEEDINGS OF THE EIGHTH INTERNATIONAL WORKSHOP (ML91) NORTHWESTERN UNIV, EVANSTON, IL, JUN, 1991, 1991, p. 228-232
YEUNG, DIT YAN Conference paper

1989 1

Using a context-sensitive learning network for robot arm control
Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Scottsdale, Arizona, USA, 4-19 May 1989, p. 1441-1447
Yeung, Dit Yan; Bekey, George A. Conference paper

1988 4

A learning model for the selection of problem solving strategies in continuous physical system
Proceedings of the IEEE Conference on Artificial Intelligence Applications, San Diego, California, USA, 14-18 March 1988, p. 200-206
Xia, Xiaodong; Yeung, Dit Yan Conference paper
Adaptive load balancing between mobile robots through learning in an artificial neural system
Proceedings of the American Control Conference (ACC), Atlanta, Georgia, USA, 15-17 June 1988, p. 2299-2304
Yeung, Dit Yan; Bekey, George A. Conference paper
Game-theoretic interaction among stochastic learning networks for adaptive load balancing
Proceedings of the First Annual Meeting of the International Neural Network Society, Boston, Massachusetts, USA, 6-10 September 1988, p. 368
Yeung, Dit Yan; Bekey, George A. Conference paper
Supervised learning of action probabilities in associative reinforcement learning
Proceedings of the Connectionist Models Summer School, Carnegie-Mellon University, Pittsburgh, Pennsylvania, USA, 15-17 June 1988, p. 2299-2304
Yeung, Dit Yan Conference paper

1987 3

Context-free classification of Mandarin unvoiced initials
Computer Processing of Chinese and Oriental Languages, v. 3, (2), December 1987, p. 66-76
Chan, Chorkin; Yeung, Dit Yan Article
A decentralized approach to the motion planning problem for multiple mobile robots
Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Raleigh, North Carolina, USA, 3 April 1987, p. 1779-1784
Yeung, Dit Yan; Bekey, George A. Conference paper
Coordinating multiple mobile robots for materials handling
Proceedings of the SME Conference on Artificial Intelligence in Manufacturing, Long Beach, California, USA, 14-16 October 1987, p. 85-99
Yeung, Dit Yan; Bekey, George A. Conference paper

1986 1

Context-free classification of unvoiced consonants
Technical Report TR-A2-86, Department of Computer Science, University of Hong Kong, January 1986
Chan, Chorkin; Yeung, Dit Yan Conference paper

1985 1

Identification of unaspirated plosives using integrated temporal and spectral features in dynamic representation as acoustic cues
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Tampa, Florida, USA, 1985, p. 1593-1596
Yeung, Dit Yan; Chan, Chorkin Conference paper


No Publications






Teaching Assignment

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2021-22 Winter 0 2021-22 Fall 2 2020-21 Summer 2 2020-21 Spring 4 2020-21 Winter 0 2020-21 Fall 3

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COMP4211 Machine Learning
COMP4981 Final Year Project


COMP4981 Final Year Project
CPEG4901 Computer Engineering Final Year Project in COMP


COMP4211 Machine Learning
COMP4981 Final Year Project
COMP4981H Final Year Thesis
CPEG4901 Computer Engineering Final Year Project in COMP


COMP4981 Final Year Project
COMP4981H Final Year Thesis
CPEG4901 Computer Engineering Final Year Project in COMP


No Teaching Assignments


No Teaching Assignments






Research Postgraduate (RPG) Supervision From January 2019 to December 2022 (As of 30 January 2022)

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All Supervisions Current RPGs Graduated RPGs

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Current RPGs

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Doctor of Philosophy CHUNG, Tsz Ting
Computer Science and Engineering( 2021 - )

WU, Junjie (co-supervision)
Artificial Intelligence( 2021 - )

XU, Shuangjie
Computer Science and Engineering( 2021 - )

CHEN, Kai
Computer Science and Engineering( 2020 - )

QIN, Meng
Computer Science and Engineering( 2020 - )

CHEUNG, Tsz Him
Computer Science and Engineering( 2019 - )

SHI, Zifan
Computer Science and Engineering( 2019 - )

GAO, Zhihan
Computer Science and Engineering( 2016 - )

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Master of Philosophy FANG, Xianghong (co-supervision)
Artificial Intelligence( 2021 - )

HAO, Guangyuan (co-supervision)
Artificial Intelligence( 2021 - )

WANG, Yanxin (co-supervision)
Artificial Intelligence( 2021 - )

HYUN, Jeongseok
Computer Science and Engineering( 2020 - )

YAN, Chiu Wai
Computer Science and Engineering( 2020 - )

SUN, Yusen
Computer Science and Engineering( 2019 - )

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Graduated RPGs

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Doctor of Philosophy OUSIDHOUM, Nedjma Djouhra (co-supervision)
Computer Science and Engineering( Completed in 2021 )

LI, Siyi
Computer Science and Engineering( Completed in 2019 )

SUN, Ting (co-supervision)
Electronic and Computer Engineering( Completed in 2019 )

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Master of Philosophy CHAN, Wai Lun
Computer Science and Engineering( Completed in 2020 )

LAUSEN, Leonard Elias
Computer Science and Engineering( Completed in 2019 )

LEE, Jinseok
Computer Science and Engineering( Completed in 2019 )









ProjectsFrom January 2020 to December 2022

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All Projects 8 Leading Projects 4 Participating Projects 4

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Spatiotemporal Graph Neural Networks for Trend Forecasting: Theory and Applications for Forecasting Weather and Electric Power Load


時空圖神經網絡的趨勢預測：理論及其在天氣和電力負荷預測中的應用 Leading


Research Impact Fund


Project Team (HKUST)
YEUNG Dit Yan (Lead)


2022 -




IPRAI: Insurance Plan Recommendation by AI


以人工智能方式的保險計劃推薦 Participating


Innovation and Technology Fund


Project Team (HKUST)
WONG Raymond Chi Wing (Lead)
YEUNG Dit Yan


2022 -




Automated Data Augmentation: Towards an AutoML Approach to Data Augmentation for Multiple Data Modalities


自動化數據擴充：面向針對多種數據模式作數據擴充的AutoML方法 Leading


RGC - General Research Fund


Project Team (HKUST)
YEUNG Dit Yan (Lead)


2021 -




A High-performance Distributed Machine Learning Framework for Graph-based Streaming Data with Smart City Applications


一種高性能分佈式基於圖的流數據機器學習框架及其在智慧城市中的應用 Participating


RGC - Theme-based Research Scheme


Project Team (HKUST)
CHEN Kai (Lead)
CHEN Lei
TANG Chi Keung
YANG Hai
YANG Qiang
YEUNG Dit Yan


2020 -




A Human-Powered Machine Learning System


一個人機交互的機器學習系統 Participating


RGC - Collaborative Research Fund


Project Team (HKUST)
CHEN Lei (Lead)
MA Xiaojuan
YEUNG Dit Yan


2019 -




Contributing to the Development of Hong Kong into a Global Fintech Hub


促進香港成為全球的金融科技樞紐 Participating


RGC - Theme-based Research Scheme


Project Team (HKUST)
TAM Kar Yan (Lead)
BHATTACHARYA Utpal
CHEN Yanzhen
HUANG Allen Hao
HUI Kai Lung
JAMES Lancelot Fitzgerald
LI Yingying
LING Shiqing
SO Mike Ka Pui
XU Yan
YANG Yi
YEUNG Dit Yan
YOU Haifeng
ZHANG Chu
ZHENG Rong
ZHENG Xinghua


2019 -




A Personalized e-Learning Platform for All Ages


涵蓋不同年齡層的個性化電子學習平臺 Leading


Innovation and Technology Fund, NTT Com Asia Limited, Trumptech (Hong Kong) Limited


Project Team (HKUST)
YEUNG Dit Yan (Lead)
PONG Ting Chuen
WONG Raymond Chi Wing


2018 - 2020




MPhil thesis research Leading


iFlight Technology Company Limited


Project Team (HKUST)
YEUNG Dit Yan (Lead)


2015 -