James Tin Yau KWOK
郭天佑
PhD in Computer Science
The Hong Kong University of Science and Technology, 1996

Professor
Department of Computer Science and Engineering

Co-Director of Risk Management and Business Intelligence Program



(852) 2358 7013
jamesk@ust.hk
Room 3545
Personal Web

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Google Scholar
-oTraZ4AAAAJ

ORCID
0000-0002-4828-8248

Scopus ID
7006208863




Research Interest Publications Projects Teaching Assignment RPG Supervision Space used




Research Interest

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Artificial intelligence



Publications

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All Years 231 2022 0 2021 7 2020 11 2019 12 2018 10 2017 10 2016 181

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2021 7

Efficient Low-Rank Semidefinite Programming with Robust Loss Functions
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1 June 2021
Yao, Quanming; Yang, Hansi; Hu, En-Liang; Kwok, Tin Yau Article
Noniterative Sparse LS-SVM Based on Globally Representative Point Selection
IEEE Transactions on Neural Networks and Learning Systems, v. 32, (2), February 2021, article number 9059021, p. 788-798
Ma, Yuefeng; Liang, Xun; Sheng, Gang; Kwok, James Tin Yau; Wang, Maoli; Li, Guangshun Article
Side Information Fusion for Recommender Systems over Heterogeneous Information Network
ACM Transactions on Knowledge Discovery from Data, v. 15, (4), June 2021, article number 60, p. 1-32
Zhao, Huan; Yao, Quanming; Song, Yangqiu; Kwok, Tin Yau; Lee, Dik Lun Article
A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix Learning
WWW '21: Proceedings of the Web Conference 2021, New York, NY, United States : Association for Computing Machinery, 2021, p. 1798-1808
Wang, Yaqing; Yao, Quanming; Kwok, James Tin Yau Conference paper
Dropout's Dream Land: Generalization from Learned Simulators to Reality
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 12975 LNAI, 2021, p. 255-270
Wellmer, Zachary William; Kwok, Tin Yau Conference paper
SEEN: Few-Shot Classification with SElf-ENsemble
Proceedings of the International Joint Conference on Neural Networks, v. 2021-July, July 2021
Jiang, Weisen; Zhang, Yu; Kwok, James Tin Yau Conference paper
Time series anomaly detection with multiresolution ensemble decoding
Proceedings of the AAAI Conference on Artificial Intelligence, v. 35, (11), 2021, article number 17152, p. 9567-9575
Shen, Lifeng; Yu, Zhongzhong; Ma, Qianli; Kwok, Tin Yau Conference paper

2020 11

Generalized Convolutional Sparse Coding with Unknown Noise
IEEE Transactions on Image Processing, v. 29, 2020, article number 9049336, p. 5686-5395
Wang, Yaqing; Kwok, Tin Yau; Ni, Lionel Ming-shuan Article
Generalizing from a few examples: A survey on few-shot learning
ACM Computing Surveys, v. 53, (3), June 2020, article number 63
Wang, Yaqing; Yao, Quanming; Kwok, James Tin Yau; Ni, Lionel Ming-Shuan Article
Learning to Hash with Dimension Analysis based Quantizer for Image Retrieval
IEEE Transactions on Multimedia, v. 23, 23 October 2020, p. 3907-3918
Cao, Yuan; Qi, Heng; Gui, Jie; Li, Keqiu; Tang, Yuan Yan; Kwok, James Tin Yau Article
Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction
Federated Learning / Edited by Yang, Qiang, Fan, Lixin, Yu, Han. Switzerland : Springer International Publishing, 2020, p. 225-239, Series Title: Lecture Notes in Computer Science
Guo, Xiawei; Yao, Quanming; Kwok, James Tin Yau; Tu, Weiwei; Chen, Yuqiang; Dai, Wenyuan; Yang, Qiang Book chapter
Advances in Recommender Systems: From Multi-stakeholder Marketplaces to Automated RecSys
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 23 August 2020, p. 3533-3534
Mehrotra, Rishabh; Carterette, Ben A.; Li, Yong; Yao, Quanming; Gao, Chen; Kwok, Tin Yau; Yang, Qiang; Guyon, Isabelle M. Conference paper
Bridging the gap between sample-based and one-shot neural architecture search with BONAS
Advances in Neural Information Processing Systems, v. 2020-December, 2020
Shi, Han; Pi, Renjie; Xu, Hang; Li, Zhenguo; Kwok, James Tin Yau; Zhang, Tong Conference paper
Effective Decoding in Graph Auto-Encoder Using Triadic Closure
Proceedings of the AAAI Conference on Artificial Intelligence, v. 34, (1), 2020, p. 906-913
Shi, Han; Fan, Haozheng; Kwok, James Tin Yau Conference paper
Efficient Neural Interaction Function Search for Collaborative Filtering
The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020 / Editors: Yennun Huang, Irwin King, Tie-Yan Liu, Maarten van Steen. New York, NY, USA : ACM, 20020, p. 1660-1670
Yao, Quanming; Chen, Xiangning; Kwok, Tin Yau; Li, Yong; Hsieh, Cho-Jui Conference paper
Efficient one-shot interaction functions search for collaborative filtering
The Web Conference, Taipei, Taiwan, 20-24 April 2020
Yao, Quanming; Chen, Xiangning; Kwok, James Tin Yau; Li, Yong; Hsieh, Cho-Jui Conference paper
Searching to Exploit Memorization Effect in Learning with Noisy Labels
37th International Conference on Machine Learning, ICML 2020, v. PartF168147-14, July 2020, p. 10720-10729
Yao, Quanming; Yang, Hansi; Han, Bo; Niu, Gang; Kwok, James Tin Yau Conference paper
Timeseries anomaly detection using temporal hierarchical one-class network
Advances in Neural Information Processing Systems, v. 2020-December, 2020
Shen, Lifeng; Li, Zhuocong; Kwok, James Tin Yau Conference paper

2019 12

Accelerated and Inexact Soft-Impute for Large-Scale Matrix and Tensor Completion
IEEE Transactions on Knowledge and Data Engineering, v. 31, (9), September 2019, p. 1665-1679
Yao, Quanming; Kwok, Tin Yau Article
Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers
IEEE Transactions on Pattern Analysis and Machine Intelligence, v. 41, (11), November 2019, p. 2628-2643
Yao, Quanming; Kwok, Tin Yau; Wang, Taifeng; Liu, Tie-Yan Article
Low-rank Matrix Learning Using Biconvex Surrogate Minimization
IEEE Transactions on Neural Networks and Learning Systems, v. 30, (11), November 2019, article number 8793230, p. 3517-3527
Hu, Enliang; Kwok, James Tin Yau Article
Analysis of Quantized Models
7th International Conference on Learning Representations, ICLR 2019, 2019
Hou, Lu; Zhang, Ruiliang; Kwok, Tin Yau Conference paper
Communication-efficient distributed blockwise momentum sgd with error-feedback
Advances in Neural Information Processing Systems 32 (Nips 2019), v. 32, 2019
Zheng, Shuai; Huang, Ziyue; Kwok, James Tin Yau Conference paper
Dynamic unit surgery for deep neural network compression and acceleration
2019 International Joint Conference on Neural Networks (IJCNN) / International Neural Network Society (INNS); IEEE Computational Intelligence Society. Budapest, Hungary : IEEE, 2019, Article number 8852368
Kim, Minsam; Kwok, Tin Yau Conference paper
Efficient nonconvex regularized tensor completion with structure-aware proximal iterations
Proceedings of Machine Learning Research, v. 97, 2019, p. 7035-7044
Yao, Quanming; Kwok, Tin Yau; Bo, Han Conference paper
Efficient Nonconvex Regularized Tensor Completion with Structure-Aware Proximal Iterations
36th International Conference on Machine Learning, ICML 2019, (Part 18), 2019, p. 12174-12188
Yao, Quanming; Kwok, James Tin Yau; Bo, Han Conference paper
Normalization helps training of quantized LSTM
Advances in Neural Information Processing Systems, v. 32, 2019
Hou, Lu; Zhu, Jinhua; Kwok, James Tin Yau; Gao, Fei; Qin, Tao; Liu, Tie-Yan Conference paper
Policy Prediction Network: Model-Free Behavior Policy with Model-Based Learning in Continuous Action Space
ECML PKDD 2019: Machine Learning and Knowledge Discovery in Databases, v. 11908 LNAI, 2020, p. 118-133
Wellmer, Zachary William; Kwok, James Conference paper
Privacy-preserving stacking with application to cross-organizational diabetes prediction
Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI-19), 2019, p. 4114-4120
Yao, Quanming; Guo, Xiawei; Kwok, James Tin Yau; Tu, Weiwei; Chen, Yuqiang; Dai, Wenyuan; Yang, Qiang Conference paper
Privacy-preserving Stacking With Application to Cross-organizational Diabetes Prediction
IJCAI International Joint Conference on Artificial Intelligence, v. 2019-August, 2019, p. 4114-4120
Yao, Quanming; Guo, Xiawei; Kwok, Tin Yau; Tu, Weiwei; Chen, Yuqiang; Dai, Wenyuan; Yang, Qiang Conference paper

2018 10

Efficient learning with a family of nonconvex regularizers by redistributing nonconvexity
Journal of Machine Learning Research, v. 18, 2018, article number 179
Yao, Quanming; Kwok, Tin Yau Article
Fast-Solving Quasi-Optimal LS-S³VM Based on an Extended Candidate Set
IEEE Transactions on Neural Networks and Learning Systems, v. 29, (4), April 2018, p. 1120-1131
Ma, Yuefeng; Liang, Xun; Kwok, Tin Yau; Li, Jianping; Zhou, Xiaoping; Zhang, Haiyan Article
Multi-Label Learning with Global and Local Label Correlation
IEEE Transactions on Knowledge and Data Engineering, v. 30, (6), June 2018, p. 1081-1094
Zhu, Yue; Kwok, Tin Yau; Zhou, Zhi-Hua Article
Scalable Online Convolutional Sparse Coding
IEEE Transactions on Image Processing, v. 27, (10), October 2018, p. 4850-4859
Wang, Yaqing; Yao, Quanming; Kwok, Tin Yau; Ni, Lionel Ming-shuan Article
Lightweight Stochastic Optimization for Minimizing Finite Sums with Infinite Data
35th International Conference on Machine Learning, ICML 2018, v. 13, 2018, p. 9455-9475
Zheng, Shuai; Kwok, Tin Yau Conference paper
Lightweight Stochastic Optimization for Minimizing Finite Sums with Infinite Data
Proceedings of Machine Learning Research, v. 80, 2018, p. 5932-5940
Zheng, Shuai; Kwok, Tin Yau Conference paper
Loss-aware Weight Quantization of Deep Networks
6th International Conference on Learning Representations (ICLR 2018), Vancouver, Canada, 30 Apr - 3 May 2018
Hou, Lu; Kwok, Tin Yau Conference paper
Online Convolutional Sparse Coding with Sample-dependent Dictionary
35th International Conference on Machine Learning, ICML 2018, v. 12, 2018, p. 8267-8277
Wang, Yaqing; Yao, Quanming; Kwok, Tin Yau; Ni, Lionel Ming-Shuan Conference paper
Online Convolutional Sparse Coding with Sample-Dependent Dictionary
Proceedings of Machine Learning Research, v. 80, July 2018, p. 5209-5218
Wang, Yaqing; Yao, Quanming; Kwok, Tin Yau; NI, Lionel Ming-Shuan Conference paper
Scalable Robust Matrix Factorization with Nonconvex Loss
Advances in Neural Information Processing Systems, v. 2018-December, 2018, p. 5061-5070
Yao, Quanming; Kwok, Tin Yau Conference paper

2017 10

A Note on the Unification of Adaptive Online Learning
IEEE Transactions on Neural Networks and Learning Systems, v. 28, (5), May 2017, article number 7419245, p. 1178-1191
He, Wenwu; Kwok, James Tin-Yau; Zhu, Ji; Liu, Yang Article
Multi-Label learning in the independent label sub-spaces
Pattern Recognition Letters, v. 97, 1 October 2017, p. 8-12
Jebalbarezi Sarbijan, Elham; Kwok, Tin Yau; Rabiee, Hamid R. Article
Collaborative Filtering with Social Local Models
Proceedings - IEEE International Conference on Data Mining, ICDM, v. 2017-November, December 2017, p. 645-654
Zhao, Huan; Yao, Quanming; Kwok, James Tin Yau; Lee, Dik Lun Conference paper
Efficient Inexact Proximal Gradient Algorithm for Nonconvex Problems
Proceedings of the Twenty-sixth International Joint Conferences on Artifical Intelligence, Edited by Carles Sierra, IIIA-CSIC. International Joint Conferences on Artificial Intelligence, 2017, p. 3308-3314
Yao, Quanming; Kwok, James Tin Yau; Gao, Fei; Chen, Wei; Liu, Tie-yan Conference paper
Efficient Sparse Low-Rank Tensor Completion Using the Frank-Wolfe Algorithm
Proceedings of the AAAI Conference on Artificial Intelligence, v. 31, (1), 2017, article number 10886, p. 1948-1954
Guo, Xiawei; Yao, Quanming; Kwok, James Tin Yau Conference paper
Follow the Moving Leader in Deep Learning
34th International Conference on Machine Learning, ICML 2017, v. 8, 2017, p. 6215-6228
Zheng, Shuai; Kwok, James Tin Yau Conference paper
Follow the Moving Leader in Deep Learning
Proceedings of Machine Learning Research, v. 70, August 2017, p. 4110-4119
Zheng, Shuai; Kwok, Tin Yau Conference paper
Loss-aware Binarization of Deep Networks
5th International Conference on Learning Representations, ICLR 2017 - Conference Track Proceedings, International Conference on Learning Representations, ICLR, 2017
Hou, Lu; Yao, Quanming; Kwok, James Tin Yau Conference paper
Training Neural-network-based Controller on Distributed Machine Learning Platform for Power Electronics Systems
2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017, v. 2017-January, November 2017, article number 8096563, p. 3083-3089
Wang, Wenguan; Chung, Henry Shu-hung; Cheng, R.; Leung, C.S.; Zhan, Xiaoqing; Lo, Alan Wai-lun; Kwok, Tin Yau; Xue, Chun Jason; Zhang, Jun Conference paper
Zero-shot Learning With a Partial Set of Observed Attributes
Proceedings of the International Joint Conference on Neural Networks, v. 2017, June 2017, article number 7966332, p. 3777-3784
Wang, Yaqing; Kwok, James Tin Yau; Yao, Quanming; Ni, Lionel Ming-Shuan Conference paper

2016 9

Aggregating Crowdsourced Ordinal Labels via Bayesian Clustering
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 9851 LNAI, 2016, p. 426-442
Guo, Xiawei; Kwok, James Tin Yau Conference paper
Asynchronous Distributed Semi-stochastic Gradient Optimization
Proceedings of the AAAI Conference on Artificial Intelligence, v. 30, (1), 2016, article number 10286, p. 2323-2329
Zhang, Ruiliang; Zheng, Shuai; Kwok, James Tin Yau Conference paper
Efficient Learning of Timeseries Shapelets
Proceedings of the AAAI Conference on Artificial Intelligence, v. 30, (1), 2016, article number 10178, p. 1209-1215
Hou, Lu; Kwok, James Tin Yau; Zurada, Jacek M. Conference paper
Efficient learning with a family of nonconvex regularizers by redistributing nonconvexity
33rd International Conference on Machine Learning, ICML 2016, v. 6, 2016, p. 3905-3914
Yao, Quanming; Kwok, James Tin Yau Conference paper
Efficient learning with a family of nonconvex regularizers by redistributing nonconvexity
Proceedings of Machine Learning Research, v. 48, 2016, p. 2645-2654
Yao, Quanming; Kwok, Tin Yau Conference paper
Fast Nonsmooth Regularized Risk Minimization with Continuation
Proceedings of the AAAI Conference on Artificial Intelligence, v. 30, (1), 2016, article number 10284, p. 2393-2399
Zheng, Shuai; Zhang, Ruiliang; Kwok, James Tin Yau Conference paper
Fast-and-Light Stochastic ADMM
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-16), July 2016, p. 2407-2413
Zheng, Shuai; Kwok, James Tin Yau Conference paper
Greedy Learning of Generalized Low-Rank Models
IJCAI International Joint Conference on Artificial Intelligence, v. 2016, January 2016, p. 2294-2300
Yao, Quanming; Kwok, James Tin Yau Conference paper
Towards Safe Semi-supervised Learning for Multivariate Performance Measures
Proceedings of the AAAI Conference on Artificial Intelligence, v. 30, (1), 2016, article number 10282, p. 1816-1822
Li, Yufeng; Kwok, James Tin Yau; Zhou, Zhi-Hua Conference paper

2015 10

Bayes-Optimal Hierarchical Multilabel Classification
IEEE Transactions on Knowledge and Data Engineering, v. 27, (11), November 2015, article number 7118216, p. 2907-2918
Bi, Wei; Kwok, Jame Tin Yau Article
Large-Scale Nystrom Kernel Matrix Approximation Using Randomized SVD
IEEE Transactions on Neural Networks and Learning Systems, v. 26, (1), January 2015, article number 6918503, p. 152-164
Li, Mu; Bi, Wei; Kwok, James Tin-Yau; Lu, Bao-Liang Article
Scalable Nonparametric Low-Rank Kernel Learning Using Block Coordinate Descent
IEEE Transactions on Neural Networks and Learning Systems, v. 26, (9), September 2015, article number 6928428, p. 1927-1938
Hu, En Liang; Kwok, James T. Article
Scaling Up Graph-Based Semisupervised Learning via Prototype Vector Machines
IEEE Transactions on Neural Networks and Learning Systems, v. 26, (3), March 2015, article number 6803073, p. 444-457
Zhang, Kai; Lan, Liang; Kwok, James Tin-Yau; Vucetic, Slobodan; Parvin, Bahram Article
Machine Learning
Springer Handbook of Computational Intelligence / Edited by Janusz Kacprzyk, Witold Pedrycz. Berlin, Heidelberg : Springer, Berlin, Heidelberg, 2015, p. 495-522
Kwok, James Tin Yau; Zhou, Zhi-Hua; Xu, Lei Book chapter
Accelerated Inexact Soft-Impute for Fast Large-Scale Matrix Completion
IJCAI International Joint Conference on Artificial Intelligence, v. 2015, 2015, p. 4002-4008
Yao, Quanming; Kwok, James Tin Yau Conference paper
Collaborative Filtering via Co-Factorization of Individuals and Groups
2015 International Joint Conference on Neural Networks (IJCNN 2015), Institute of Electrical and Electronics Engineers (IEEE), 2015
Huang, Yihai; Kwok, James Tin Yau Conference paper
Colorization by patch-based local low-rank matrix completion
Proceedings of the AAAI Conference on Artificial Intelligence, v. 29, (1), 2015, article number 9479, p. 1959-1965
Yao, Quanming; Kwok, James Tin Yau Conference paper
Fast Low-Rank Matrix Learning with Nonconvex Regularization
Proceedings: 15th IEEE International Conference on Data Mining (ICDM 2015), Editors: Charu Aggarwal, Zhi-Hua Zhou, Alexander Tuzhilin, Hui Xiong, and Xindong Wu. The Institute of Electrical and Electronics Engineers, Inc., 2015, p. 539-548
Yao, Quanming; Kwok, James Tin Yau; Zhong, Leon Wenliang Conference paper
Fast Second-order Stochastic Backpropagation for Variational Inference
Advances in Neural Information Processing Systems, v. 28, 2015, p. 1387-1395
Fan, Kai; Wang, Ziteng; Beck, Jeffrey; Kwok, James; Heller, Katherine Conference paper

2014 10

Mandatory Leaf Node Prediction in Hierarchical Multilabel Classification
IEEE Transactions on Neural Networks and Learning Systems, v. 25, (12), December 2014, article number 6810887, p. 2275-2287
Bi, Wei; Kwok, Tin Yau,James Article
Selected Papers From the 2011 International Conference on Neural Information Processing (ICONIP 2011)
Neurocomputing, v. 129, April 2014, p. 1-2
Kwok, James Tin Yau; Zhang, Liqing; Lu, Hongtao Article
Simple randomized algorithms for online learning with kernels
Neural Networks, v. 60, 2014, p. 17-24
He, Wenwu; Kwok, James Tin Yau Article
Accelerated stochastic gradient method for composite regularization
Proceedings of Machine Learning Research, v. 33, 2014, p. 1086-1094
Zhong, Leon Wenliang; Kwok, James Tin Yau Conference paper
Accurate Integration of Aerosol Predictions by Smoothing on a Manifold
Proceedings of the AAAI Conference on Artificial Intelligence, v. 28, (1), 2014, article number 8900, p. 1376-1382
Zheng, Shuai; Kwok, James Tin Yau Conference paper
Asynchronous Distributed ADMM for Consensus Optimization
31st International Conference on Machine Learning, Beijing, China, v. 5, 2014, p. 3689-3697
Zhang, Ruiliang; Kwok, James Tin Yau Conference paper
Fast stochastic alternating direction method of multipliers
31st International Conference on Machine Learning, Beijing, China, v. 1, 2014, p. 78-86
Zhong, Leon Wenliang; Kwok, James Tin Yau Conference paper
Gradient Descent with Proximal Average for Nonconvex and Composite Regularization
Proceedings of the AAAI Conference on Artificial Intelligence, v. 28, (1), 2014, p. 2206-2212
Zhong, Leon Wenliang; Kwok, James Tin Yau Conference paper
Learning to Predict from Crowd Sourced Data
Uncertainty in Artificial Intelligence - Proceedings of the 30th Conference, 2014, p. 82-91
Bi, Wei; Wang, Liwei; Kwok, James Tin-Yau; Tu, Zhuowen Conference paper
Multilabel Classification With Label Correlations and Missing Labels
Proceedings of the AAAI Conference on Artificial Intelligence, v. 28, (1), 2014, article number 8996, p. 1680-1686
Bi, Wei; Kwok, James Tin Yau Conference paper

2013 8

Convex and Scalable Weakly Labeled SVMs
Journal of Machine Learning Research, v. 14, June 2013, p. 2151-2188
Li, Yu-Feng; Tsang, Ivor W.; Kwok, James Tin Yau; Zhou, Zhi-Hua Article
Accurate Probability Calibration for Multiple Classifiers
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. 1939-1945
Zhong, Wenliang; Kwok, James Tin Yau Conference paper
Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels
30th International Conference on Machine Learning, ICML 2013, (PART 2), 2013, p. 1425-1432
Zhang, Kai; Zheng, Vincentwenchen; Wang, Qiaojun; Kwok, James Tin Yau; Yang, Qiang; Mar?i?, Ivan Conference paper
Efficient Kernel Learning from Side Information Using ADMM
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. 1408-1414
Hu, En-Liang; Kwok, James Tin Yau Conference paper
Efficient Learning for Models with DAG-Structured Parameter Constraints
2013 IEEE 13th International Conference on Data Mining (ICDM 2013), Institute of Electrical and Electronics Engineers (IEEE), 2013
Zhong, Wenliang; Kwok, James Tin Yau Conference paper
Efficient Multi-label Classification with Many Labels
30th International Conference on Machine Learning, ICML 2013, (PART 2), 2013, p. 1442-1450
Bi, Wei; Kwok, James Tin Yau Conference paper
Flexible Nonparametric Kernel Learning with Different Loss Functions
Neural Information Processing: 20th International Conference, ICONIP 2013: Proceedings, Part II, Editors: Minho Lee, Akira Hirose, Zeng-Guang Hou, Rhee Man Kil. Berlin; Heidelberg : Springer-Verlag, 2013, p. 116-123, Part of the Lecture Notes in Computer Science book series (LNCS, volume 8227)
Hu, En-Liang; Kwok, James Tin Yau Conference paper
Learning from High-Dimensional Data in Multitask/Multilabel Classification
2013 2nd IAPR Asian Conference on Pattern Recognition (ACPR 2013), Institute of Electrical and Electronics Engineers (IEEE), 2013, p. 16-17
Kwok, James Tin Yau Conference paper

2012 6

A brief introduction to the special issue for ISNN2010
Neurocomputing, v. 76, January 2012, p. 1
Zhang, Liqing; Kwok, James; Zhang, Changshui Article
Bilinear Probabilistic Principal Component Analysis
IEEE transaction on neural networks and learning systems, v. 23, (3), March 2012, p. 492-503
Zhao, Jianhua; Yu, Philip L.H.; Kwok, James Tin-Yau Article
Efficient Sparse Modeling With Automatic Feature Grouping
IEEE transactions on neural networks and learning systems, v. 23, (9), 2012, Sept, p. 1436-1447
Zhong, Leon Wenliang; Kwok, James Tin Yau Article
Convex multitask learning with flexible task clusters
Proceedings of the 29th International Conference on Machine Learning, ICML 2012, v. 1, 2012, p. 49-56
Zhong, Wenliang; Kwok, James Tin Yau Conference paper
Hierarchical Multilabel Classification with Minimum Bayes Risk
IEEE International Conference on Data Mining, Brussels, Belgium, 2012, p. 101-110
Bi, Wei; Kwok, James Tin-Yau Conference paper
Mandatory leaf node prediction in hierarchical multilabel classification
Advances in Neural Information Processing Systems, (The 26th Annual Conference on Neural Information Processing Systems 2012, NIPS 2012), v. 1, 2012, p. 153-161
Bi, Wei; Kwok, James Tin-Yau Conference paper

2011 8

A Hybrid PSO-BFGS Strategy for Global Optimization of Multimodal Functions
IEEE transactions on systems, man and cybernetics. Part B. Cybernetics, v. 41, (4), August 2011, Article number 5704208, p. 1003-1014
Li, Shutao; Tan, Mingkui; Tsang, Ivor W.; Kwok, James Tin-Yau Article
Domain Adaptation via Transfer Component Analysis
IEEE transactions on neural networks, v. 22, (2), February 2011, Article number 5640675, p. 199-210
Pan, Sinnojialin; Tsang, Ivor; Kwok, James Tin Yau; Yang, Qiang Article
Incorporating cellular sorting structure for better prediction of protein subcellular locations
Journal of experimental and theoretical artificial intelligence, v. 23, 2011, p. 79-95
Yang, Wen-Yun; Lu, Bao-Liang; Kwok, James Tin-Yau Article
Neural Information Processing - 18th International Conference, Proceedings
Lecture Notes in Computer Science / v. 7062, Nov, 2011
Lu, Bao Liang; Zhang, Liqing; Kwok, James Book
Efficient sparse modeling with automatic feature grouping
Proceedings of the 28th International Conference on Machine Learning, ICML 2011, 2011, p. 9-16
Zhong, Wenliang; Kwok, James Tin Yau Conference paper
Multi-label classification on tree- and DAG-structured hierarchies
Proceedings of the 28th International Conference on Machine Learning, ICML 2011, 2011, p. 17-24
Bi, Wei; Kwok, James Tin-Yau Conference paper
Structured clustering with automatic kernel adaptation
Proceedings of the International Joint Conference on Neural Networks, 2011, Article number 6033377, p. 1322-1327
Pan, Weike; Kwok, James Tin-Yau Conference paper
Time and Space Efficient Spectral Clustering via Column Sampling
IEEE Conference on Computer Vision & Pattern Recognition (CVPR), Colorado Springs, CO, June 2011, p. 2297-2304
Li, Mu; Lian, Xiao-Chen; Kwok, James Tin-Yau; Lu, Bao-Liang Conference paper

2010 13

Clustered Nystr?m method for large scale manifold learning and dimension reduction
IEEE Transactions on Neural Networks, v. 21, (10), 2010, Oct, p. 1576-1587
Zhang, Kai; Kwok, James Tin-Yau Article
Fast and accurate kernel density approximation using a divide-and-conquer approach
Journal OF Zhejiang university-science c-computers & ELECTRONICS, v. 11, (9), 2010, SEP, p. 677-689
Jin, Yan-xia; Zhang, Kai; Kwok, James Tin-Yau; Zhou, Han-chang Article
Incorporating the loss function into discriminative clustering of structured outputs
IEEE Transactions on Neural Networks, v. 21, (10), 2010, p. 1564-1575
Zhong, Wenliang; Pan, Weike; Kwok, James Tin; Tsang, Ivor W. Article
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 6064 LNCS, (2), 2010
Zhang, Liqing; Kwok, James Tin Yau; Lü, Baoliang Article
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface
Lecture Notes in Computer Science: including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, v. 6063, (1), 2010
Zhang, Liqing; Kwok, James; Lü, Baoliang Article
Simplifying Mixture Models Through Function Approximation
IEEE transactions on neural networks, v. 21, (4), 2010, APR, p. 644-658
Zhang, Kai; Kwok, James Tin-Yau Article
Text detection in images using sparse representation with discriminative dictionaries
Image and vision computing, v. 28, (12), 2010, DEC, p. 1590-1599
Zhao, Ming; Li, Shutao; Kwok, James Article
Advances in Neural Networks--ISNN 2010: 7th International Symposium on Neural Networks, ISNN, Shanghai, China, June 6-9, 2010: proceedings
Advances in Neural Networks--ISNN 2010: 7th International Symposium on Neural Networks, ISNN, Shanghai, China, June 6-9, 2010: proceedings / Edited by Liqing Zhang, Bao-Liang Lu, James Kwok. Berlin: Springer, 2010
Zhang, Liqing; Lu, Bao-Liang; Kwok, James Book
Cost-sensitive semi-supervised support vector machine
Proceedings of the AAAI Conference on Artificial Intelligence, v. 24, (1), 2010, article number 7661, p. 500-505
Li, Yufeng; Kwok, James Tin-Yau; Zhou, Zhi-Hua Conference paper
Making large-scale Nystr?m approximation possible
Proceedings of the 27th International Conference on Machine Learning, ICML 2010, 2010, p. 631-638
Li, Mu; Kwok, James Tin-Yau; Lü, Baoliang Conference paper
Manifold Regularization for Structured Outputs via the Joint Kernel
IEEE International Conference on Neural Networks (ICNN), 2010
Hu, Chonghai; Kwok, James Tin-Yau Conference paper
Online Multiple Instance Learning with No Regret
IEEE Conference on Computer Vision & Pattern Recognition (CVPR), 2010, p. 1395-1401
Li, Mu; Kwok, James Tin-Yau; Lu, Bao-Liang Conference paper
Spectral and semidefinite relaxations of the CLUHSIC algorithm
Proceedings of the 10th SIAM International Conference on Data Mining, SDM 2010, 2010, p. 106-117
Yang, Wen-Yun; Kwok, James Tin-Yau; Lu, Bao-Liang Conference paper

2009 15

Building Sparse Multiple-Kernel SVM Classifiers
IEEE transactions on neural networks, v. 20, (5), 2009, MAY, p. 827-839
Hu, Mingqing; Chen, Yidiang; Kwok, James Tin-Yau Article
Density-Weighted Nystrom Method for Computing Large Kernel Eigensystems
Neural computation, v. 21, (1), 2009, JAN, p. 121-146
Zhang, Kai; Kwok, James Tin-Yau Article
Maximum Margin Clustering Made Practical
IEEE transactions on neural networks, v. 20, (4), 2009, APR, p. 583-596
Zhang, Kai; Tsang, Ivor W.; Kwok, James Tin-Yau Article
Maximum Penalized Likelihood Kernel Regression for Fast Adaptation
IEEE Transactions on Audio, Speech and Language Processing, v. 17, (7), September 2009, article number 5165120, p. 1372-1381
Mak, Brian Kan-Wing; Lai, Tsz-Chung; Tsang, Ivor W.; Kwok, James Tin-Yau Article
用于图分类的组合维核方法
计算机学报=Chinese Journal of Computers, v. 32, (5), 2009, p. 946-952
李宇峰; 郭天佑; 周志華 Article
A convex method for locating regions of interest with multi-instance learning
European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2009; Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ; Bled; Slovenia, 7 September 2009 through 11 September 2009; Code 77688, Volume 5782 LNAI, Issue PART 2, 2009, Pages 15-30
Li, Yu-Feng; Kwok, James Tin-Yau; Tsang, Ivor; Zhou, Zhi-Hua Conference paper
Accelerated gradient method for multi-task sparse learning problem
Proceedings - IEEE International Conference on Data Mining, ICDM, 2009, p. 746-751
Chen, Xi; Pan, Weike; Kwok, James; Carbonell, Jaime G. Conference paper
Accelerated gradient methods for stochastic optimization and online learning
Proceedings of the 23rd Annual Conference on Neural Information Processing Systems, Vancouver, B. C., Canada, 7-9 December 2009,
Hu, Chonghai; Kwok, James Tin-Yau; Pan, Weike Conference paper
Domain Adaptation via Transfer Component Analysis
21st International Joint Conference on Artificial Intelligence, IJCAI-09; Pasadena, CA; United States, 11 July 2009 through 17 July 2009; Code 83585, Pages 1187-1192
Pan, Sinnojialin; Tsang, Ivor W.; Kwok, James Tin Yau; Yang, Qiang Conference paper
Maximum margin clustering with multivariate loss function
Proceedings - 9th IEEE International Conference on Data Mining, ICDM 2009; Miami, FL; United States, 2009, Article number 5360290, Pages 637-646
Zhao, Bin; Kwok, James; Zhang, Changshui Conference paper
Multiple kernel clustering
Society for Industrial and Applied Mathematics - 9th SIAM International Conference on Data Mining 2009, Proceedings in Applied Mathematics, SDM 2009; Sparks, NV; United States, 30 April 2009 through 2 May 2009; Code 78702, Volume 2, 2009, Pages 634-645
Zhao, Bin; Kwok, James Tin-Yau; Zhang, Changshui Conference paper
Prototype vector machine for large scale semi-supervised learning
ACM International Conference Proceeding Series, v. 382, 2009, article number 155, p. 1233-1240
Zhang, Kai; Kwok, James Tin-Yau; Parvin, Bahram Conference paper
Semi-Supervised learning using label mean
ACM International Conference Proceeding Series, v. 382, 2009, article number 79, p. 633-640
Li, Yufeng; Kwok, James Tin-Yau; Zhou, Zhi-Hua Conference paper
Tighter and convex maximum margin clustering
Proceedings of Machine Learning Research, v. 5, 2009, p. 344-351
Li, Yu-feng; Tsang, Ivor; Kwok, James Tin-Yau; Zhou, Zhi-hua Conference paper
Unsupervised maximum margin feature selection with manifold regularization
2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009, 2009, p. 888-895
Zhao, Bin; Kwok, James Tin-Yau; Wang, Fei; Zhang, Changshui Conference paper

2008 6

Large-scale maximum margin discriminant analysis using core vector machines
IEEE transactions on neural networks, v. 19, (4), 2008, APR, p. 610-624
Tsang, Ivor Wai-Hung; Kocsor, Andras; Kwok, James Tin-Yau Article
Matrix-Variate Factor Analysis and Its Applications
IEEE transactions on neural networks, v. 19, (10), 2008, OCT, p. 1821-1826
Xie, Xianchao; Yan, Shuicheng; Kwok, James Tin-Yau; Huang, Thomas S. 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
Improved Nystr?m low-rank approximation and error analysis
Proceedings of the 25th International Conference on Machine Learning, ICML'08, 2008, p. 1232-1239
Zhang, Kai; Tsang, Ivor; Kwok, James Tin-Yau Conference paper
Transfer learning via dimensionality reduction
Proceedings of the National Conference on Artificial Intelligence, v. 2, 2008, p. 677-682
Pan, Sinnojialin; Kwok, James Tin Yau; Yang, Qiang Conference paper
Transferring localization models across space
23rd AAAI Conference on Artificial Intelligence and the 20th Innovative Applications of Artificial Intelligence Conference, AAAI-08/IAAI-08; Chicago, IL; United States, v. 3, 13 July 2008 through 17 July 2008; Code 74777, Pages 1383-1388
Pan, Sinnojialin; Shen, Dou; Yang, Qiang; Kwok, James Tin Yau Conference paper

2007 12

A class of single-class minimax probability machines for novelty detection
IEEE transactions on neural networks, v. 18, (3), 2007, MAY, p. 778-785
Kwok, James Tin-Yau; Tsang, Ivor Wai-Hung; Zurada, Jacek M. Article
End-to-end privacy control in service outsourcing of human intensive processes: A multi-layered Web service integration approach
Information Systems Frontiers, v. 9, (1), 2007, MAR, p. 85-101
Hung, Patrick C.K.; Chiu, Dickson K.W.; Fung, W.W.; Cheung, William Kwok Wai; Wong, Raymond; Choi, Samuel P.M.; Kafeza, Eleanna; Kwok, James Tin-Yau; Pun, Joshua C.C.; Cheng, Vivying Article
Face recognition using spectral features
Pattern recognition, v. 40, (10), 2007, OCT, p. 2786-2797
Wang, Fei; Wang, Jingdong; Zhang, Changshui; Kwok, James 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
SVDD-based pattern denoising
Neural computation, v. 19, (7), 2007, JUL, p. 1919-1938
Park, Jooyoung; Kang, Daesung; Kim, Jongho; Kwok, James Tin-Yau; Tsang, Ivor W. Article
Adaptive localization in a dynamic WiFi environment through multi-view learning
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence and the Nineteenth Innovative Applications of Artificial Intelligence Conference, v. 2 / edited by Hunter A. Palo Alto, California : AAAI Press, 2007, p. 1108-1113
Pan, Jialin Sinno; Kwok, James Tin Yau; Yang, Qiang; Pan, Junfeng Jeffrey Conference paper
Ensembles of Partially Trained SVMs with Multiplicative Updates
20th International Joint Conference on Artificial Intelligence, IJCAI 2007; Hyderabad; India, 6 January 2007 through 12 January 2007; Code 97873, Pages 1089-1094
Tsang, Ivor W.; Kwok, James Tin-Yau Conference paper
Large-scale sparsified manifold regularization
20th Annual Conference on Neural Information Processing Systems, NIPS 2006; Advances in Neural Information Processing Systems; Vancouver, BC; Canada, Dec 4-7, 2006, Code 91224, Pages 1401-1408
Tsang, Ivor; Kwok, James Conference paper
Marginalized Multi-Instance Kernels
20th International Joint Conference on Artificial Intelligence, IJCAI 2007; Hyderabad; India, 2007, Code 97873, Pages 901-906
Kwok, James Tin-Yau; Cheung, Pak-Ming Conference paper
Maximum margin clustering made practical
ACM International Conference Proceeding Series, v. 227, 2007, p. 1119-1126
Zhang, Kai; Tsang, Ivor; Kwok, James Tin-Yau Conference paper
Simpler core vector machines with enclosing balls
ACM International Conference Proceeding Series, v. 227, 2007, p. 911-918
Tsang, Ivor; Kocsor, András; Kwok, James Tin-Yau 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

2006 21

A novel incremental principal component analysis and its application for face recognition
IEEE Transactions on Systems, Man and Cybernetics, PART B (Cybernetics), v.36, (4), 2006, AUG, p.873-886
Zhao, Haitao; Yuen, Pong Chi; Kwok, James Tin-Yau Article
Accelerated convergence using dynamic mean shift
Lecture Notes in Computer Science, v. 3952, (Part 2), 2006, p. 257-268
Zhang, Kai; Kwok, James Tin-Yau; Tang, Ming Article
Diversified SVM ensembles for large data sets
Lecture Notes in Computer Science, v. 4212, 2006, p. 792-800
Tsang, Ivor; Kocsor, Andras; Kwok, James Tin-Yau Article
Efficient hyperkernel learning using second-order cone programming
IEEE transactions on neural networks, v. 17, (1), 2006, JAN, p. 48-58
Tsang, Ivor; Kwok, James Tin-Yau Article
Embedded kernel eigenvoice speaker adaptation and its implication to reference speaker weighting
IEEE Transactions on Audio, Speech, and Language Processing, v. 14, (4), July 2006
Mak, Brian Kan Wing; Hsiao, Roger; Ho, Simon; Kwok, James Tin-Yau Article
Facial image reconstruction by SVDD-based pattern de-noising
Lecture Notes in Computer Science, v. 3832, 2006, p. 129-135
Park, Jooyoung; Kang, Daesung; Kwok, James Tin-Yau; Lee, Sangwoong; Hwang, Bonwoo; Lee, Seongwhan Article
Gene feature extraction using T-test statistics and kernel partial least squares
Lecture Notes in Computer Science, v. 4234, 2006, p. 11-20
Li, Shutao; Liao, Chen; Kwok, James Tin-Yau Article
Generalized core vector machines
IEEE transactions on neural networks, v. 17, (5), 2006, SEP, p. 1126-1140
Tsang, Ivor Wai-Hung; Kwok, James Tin-Yau; Zurada, Jacek M. 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
Multidimensional vector regression for accurate and low-cost location estimation in pervasive computing
IEEE transactions on knowledge and data engineering, v. 18, (9), September 2006, Article number 1661510, Pages 1181-1193
Pan, JeffreyJunfeng; Kwok, James Tin Yau; Yang, Qiang; Chen, Yiqiang 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 regularization framework for multiple-instance learning
ACM International Conference Proceeding Series, v. 148, 2006, p. 193-200
Cheung, Pak Ming; Kwok, James Tin-Yau Conference paper
Block-quantized kernel matrix for fast spectral embedding
ACM International Conference Proceeding Series, v. 148, 2006, p. 1097-1104
Zhang, Kai; Kwok, James Tin-Yau Conference paper
Efficient classification of multi-label and imbalanced data using min-max modular classifiers
IEEE International Conference on Neural Networks - Conference Proceedings, 2006, p. 1770-1775
Chen, Ken; Lü, Baoliang; Kwok, James Tin-Yau Conference paper
Efficient kernel feature extraction for massive data sets
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, v. 2006, 2006, p. 724-729
Tsang, Ivor; Kocsor, András; Kwok, James Tin-Yau Conference paper
Fast speaker adaption via maximum penalized likelihood kernel regression
2006 IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, ICASSP 2006; Toulouse; France, Volume 1, 2006, Article number 1660191, Pages I997-I1000
Tsang, Ivor W.; Kwok, James Tin-Yau; Mak, Brian; Zhang, Kai; Pan, Jeffrey Junfeng Conference paper
Learning the kernel in mahalanobis one-class support vector machines
IEEE International Conference on Neural Networks - Conference Proceedings, 2006, p. 1169-1175
Tsang, Ivor; Kwok, James Tin-Yau; Li, Shutao Conference paper
Locally adaptive classification piloted by uncertainty
ACM International Conference Proceeding Series, v. 148, 2006, p. 225-232
Juan, Dai; Yan, Shuicheng; Tang, Xiaoou; Kwok, Tin Yau Conference paper
Multimodal registration using the discrete wavelet frame transform
Proceedings - International Conference on Pattern Recognition, v. 3, 2006, p. 877-880
Li, Shutao; Peng, Jinglin; Kwok, James Tin-Yau; Zhang, Jing Conference paper
Simplifying mixture models through function approximation
20th Annual Conference on Neural Information Processing Systems, NIPS 2006; Advances in Neural Information Processing Systems; Vancouver, BC; Canada, Dec 4-7, 2006, Code 91224, Pages 1577-1584
Zhang, Kai; Kwok, James Conference paper
Wavelet-based feature extraction for microarray data classification
IEEE International Conference on Neural Networks - Conference Proceedings, 2006, p. 5028-5033
Li, Shutao; Liao, Chen; Kwok, James Tin-Yau Conference paper

2005 12

Core vector machines: Fast SVM training on very large data sets
Journal of Machine Learning Research, v. 6, April 2005, p. 363-392
Tsang, Ivor; Kwok, James Tin-Yau; Cheung, Pak Ming Article
Kernel eigenvoice speaker adaptation
IEEE Transactions on Speech and Audio Processing, v. 13, (5), September 2005, p. 984-992
Mak, Brian Kan Wing; Kwok, James Tin-Yau; Ho, Simon Article
Accurate and Low-cost Location Estimation Using Kernels
2005, 30 July 2005 through 5 August 2005; Code 97872 p. 1366-1371
Pan, Jeffery Junfeng; Kwok, James Tin-Yau; Yang, Qiang; Chen, Yiqiang Conference paper
Applying neighborhood consistency for fast clustering and kernel density estimation
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, v. 2, 2005, p. 1001-1007
Zhang, Kai; Tang, Ming; Kwok, James Tin-Yau Conference paper
Core vector regression for very large regression problems
Proceedings of the 22nd international conference on Machine learning, ICML'05, 2005, p. 913-920
Tsang, Ivor; Kwok, James Tin Yau; Lai, T. Kimo Conference paper
Data-dependent kernels for high-dimensional data classification
Proceedings of the International Joint Conference on Neural Networks, v. 1, 2005, p. 102-107
Wang, Jingdong; Kwok, James Tin-Yau; Shen, Helen; Quan, Long Conference paper
Kernel relevant component analysis for distance metric learning
Proceedings of the International Joint Conference on Neural Networks, v. 2, 2005, p. 954-959
Tsang, Ivor; Cheung, PakMing; Kwok, James Tin-Yau Conference paper
Page segmentation using mathematical morphology
Proceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005, v. 2005, 2005, p. 89-92
Qinghua, Shen; Shutao, Li; Kwok, James Tin-Yau Conference paper
Pattern de-noising based on support ector data description
Proceedings of the International Joint Conference on Neural Networks, v. 2, 2005, p. 949-953
Park, Jooyoung; Kang, Daesung; Kim, Jongho; Kwok, James Tin-Yau; Tsang, Ivor Conference paper
Position estimation tor wireless sensor networks
GLOBECOM - IEEE Global Telecommunications Conference, v. 5, 2005, p. 2772-2776
Wong, K. F. Simon; Tsang, Ivor; Cheung, Victor; Chan, Gary Shueng Han; Kwok, James Tin-Yau Conference paper
Towards end-to-end privacy control in the outsourcing of marketing activities: A web service integration solution
ACM International Conference Proceeding Series, v. 113, 2005, p. 454-461
Hung, Patrick C.K.; Chiu, Dickson K.W.; Fung, W.W.; Cheung, William K.; Wong, Raymond; Choi, Samuel P.M.; Kafeza, Eleanna; Kwok, James Tin-Yau; Pun, Chun Chung Joshua; Cheng, Vivying Conference paper
Very large SVM training using core vector machines
Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics. Barbados, January 2005, Code 90668, Pages 349-356
Tsang, Ivor; Kwok, James; Cheung, Pak-Ming Conference paper

2004 15

Dissimilarity learning for nominal data
Pattern recognition, v. 37, (7), 2004, JUL, p. 1471-1477
Cheng, Victor; Li, Chunhung; Kwok, James Tin-Yau; Li, Chikwong Article
Efficient hyperkernel learning using second-order cone programming
Lecture Notes in Computer Science, v. 3201, 2004, p. 453-464
Tsang, Ivor; Kwok, James Tin-Yau Article
Fusing images with different focuses using support vector machines
IEEE transactions on neural networks, v. 15, (6), 2004, NOV, p. 1555-1561
Li, Shutao; Kwok, James Tin-Yau; Tsang, Ivor; Wang, Yaonan Article
Signal de-noising by improving soft thresholding on the dyadic wavelet transform
自动化学报=Acta Automatica Sinica, v. 2004, (02), 2004, p. 199-206
祝海龍; 郭天佑; 屈梁生 Article
The pre-image problem in kernel methods
IEEE transactions on neural networks, v. 15, (6), 2004, NOV, p. 1517-1525
Kwok, James Tin-Yau; Tsang, Ivor 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
Eigenvoice speaker adaptation via composite kernel PCA
Advances in neural information processing systems, v. 16, 2004, p. 1401-1408
Kwok, James Tin-Yau; Mak, Brian Kan Wing; Ho, Simon Ka-Lung Conference paper
Incremental PCA based face recognition
2004 8th International Conference on Control, Automation, Robotics and Vision (ICARCV), v. 1, 2004, p. 687-691
Zhao, Haitao; Yuen, Pong Chi; Kwok, James Tin-Yau; Yang, Jingyu Conference paper
Scaling up support vector data description by using core-sets
IEEE International Conference on Neural Networks - Conference Proceedings, v. 1, 2004, p. 425-430
Chu, Calvin S.; Tsang, Ivor; Kwok, James Tin-Yau Conference paper
Speedup of Kernel Eigenvoice Speaker Adaptation by Embedded Kernel PCA
Proceedings of the International Conference on Spoken Language Processing, , Jeju Island, South Korea, volume IV, pages 2913-2916,
Mak, Brian; Ho, Simon; Kwok, James Conference paper
Study of various composite kernels for kernel eigenvoice speaker adaptation
2004 IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Montreal, Que; Canada, 2004, 17 May 2004 through 21 May 2004; Code 63500, p. 325-328
Mak, Brian Kan Wing; Kwok, James Tin-Yau; Ho, Simon Ka-Lung 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
Text extraction using edge detection and morphological dilation
2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004, 2004, p. 330-333
Li, Shutao; Kwok, James Tin-Yau Conference paper
Using kernel PCA to improve eigenvoice speaker adaptation
Proceedings of 2004 International Conference on Machine Learning and Cybernetics, v. 5 / IEEE. Piscataway, NJ : IEEE, 2004, p. 3062-3067
Mak, Brian Kan Wing; Kwok, James Tin-Yau; Ho, Simon Ka-Lung Conference paper

2003 7

Linear dependency between ε and the input noise in ε-support vector regression
IEEE Transactions on Neural Networks, Volume 14, Issue 3, May 2003, Pages 544-553
Kwok, James Tin-Yau; Tsang, Ivor Article
Mining customer product rating for personalized marketing
Decision Support Systems, v. 35, (2), 2003, MAY, p. 231-243
Cheung, Kwok Wai; Kwok, James Tin-Yau; Law, Martin; Tsui, Kwokching Article
Texture classification using the support vector machines
Pattern recognition, v. 36, (12), 2003, DEC, p. 2883-2893
Li, Shutao; Kwok, James; Zhu, Hailong; Wang, Yaonan Article
Distance metric learning with kernels
International conference on artificial neural networks
Tsang, Ivor W.; Kwok, James T. Conference paper
Incremental eigen decomposition
International Conference on Artificial Neural Networks
Kwok, James T.; Zhao, Haitao Conference paper
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
The pre-image problem in kernel methods
Proceedings of Twentieth International Conference on Machine Learning, ICML 2003, v. 1, 2003, p. 408-415
Kwok, Tin Yau; Tsang, Ivor Conference paper

2002 6

Fusing images with multiple focuses using support vector machines
Lecture Notes in Computer Science, v. 2415, 2002, p. 1287-1292
Li, Shutao; Kwok, James Tin-Yau; Wang, Yaonan Article
Multifocus image fusion using artificial neural networks
Pattern recognition letters, v. 23, (8), 2002, JUN, p. 985-997
Li, Shutao; Kwok, James Tin-Yau; Wang, Yaonan Article
Using the discrete wavelet frame transform to merge Landsat TM and SPOT panchromatic images
Information Fusion, v. 3, (1), 2002, p. 17-23
Li, Shutao; Kwok, James; Wang, Yaonan Article
Finding the pre-images in kernel principal component analysis
6th Annual Workshop on Kernel Machines, Vancouver, Canada, December 2002
Kwok, James Tin-Yau; Tsang, I.W. Conference paper
Fusing images with multiple focuses using support vector machines
Proceedings of the International Conference on Artificial Neural Networks, Madrid, Spain, August 2002, p. 405–410
Li, S.; Kwok, James Tin-Yau; Wang, Y. Conference paper
Improving de-noising by coefficient de-noising and dyadic wavelet transform
Proceedings - International Conference on Pattern Recognition, v. 16, (2), 2002, p. 273-276
Zhu, Hailong; Kwok, James Tin-Yau; Qu, Liangsheng Conference paper

2001 4

Combination of images with diverse focuses using the spatial frequency
Information Fusion, v. 2, (3), September 2001, p. 169-176
Li, Shutao; Kwok, James Tin-Yau; Wang, Yaonan Article
Linear dependency between epsilon and the input noise in epsilon-support vector regression
Lecture Notes in Computer Science, v. 2130, 2001, p. 405-410
Kwok, JT Article
Applying the Bayesian evidence framework to nu-support vector regression
Proceedings of the Twelfth European Conference on Machine Learning Freiburg, Germany, 312-323
Law, Martin H.; Kwok, James T. Conference paper
Bayesian support vector regression
Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, Key West, Florida, USA, January 2001, p. 239–244
Law, M.H.; Kwok, James Tin-Yau Conference paper

2000 4

The evidence framework applied to support vector machines
IEEE Transactions on Neural Networks, v. 11, (5), September 2000, p. 1162-1173
Kwok, James Tin-Yau Article
An extended genetic rule induction algorithm
Proceedings of the Congress on Evolutionary Computation (CEC), La Jolla, California, USA, July 2000, 16 July 2000 through 19 July 2000, p. 458–463
Liu, Julietjuan; Kwok, James Tin-Yau Conference paper
Mining customer preference ratings for product recommendation using the support vector machine and the latent class model
Second International Conference on Data Mining, Data Minig II, Management Information Systems, Cambridge; United Kingdom, 5 July 2000 through 7 July 2000, Code 63530, p. 601–610
Cheung, Kwok Wai; Kwok, James Tin-Yau; Law, Martin; Tsui, Kwokching Conference paper
Rival penalized competitive learning for model-based sequence clustering
In Proceedings of the International Conference on Pattern Recognition, Barcelona, Spain, v. 2, September 2000, p. 195-198
Law, Martin; Kwok, James Tin-Yau Conference paper

1999 3

Moderating the outputs of support vector machine classifiers
IEEE Transactions on Neural Networks, v. 10, 1999, p. 1018–1031
Kwok, James Tin-Yau Article
Integrating the evidence framework and the support vector machine
Proceedings of the European Symposium on Artificial Neural Networks, Bruges, Belgium, April 1999, p. 177–182
Kwok, James Tin-Yau Conference paper
Moderating the outputs of support vector machine classifiers
Proceedings of the International Joint Conference on Neural Networks, Washington, D.C., July 1999, p. 943–948
Kwok, James Tin-Yau Conference paper

1998 2

Automated text categorization using support vector machine
Proceedings of the International Conference on Neural Information Processing, Kitakyushu, Japan, October 1998, p. 347–351
Kwok, James Tin-Yau Conference paper
Support vector mixture for classification and regression problems
Proceedings of the International Conference on Pattern Recognition, Brisbane, Australia, August 1998, p. 255–258
Kwok, James Tin-Yau Conference paper

1997 2

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

1996 3

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
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 2

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
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

1994 2

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

1993 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 Conference paper


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A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix Learning
WWW '21: Proceedings of the Web Conference 2021, New York, NY, United States : Association for Computing Machinery, 2021, p. 1798-1808
Wang, Yaqing; Yao, Quanming; Kwok, James Tin Yau
Dropout's Dream Land: Generalization from Learned Simulators to Reality
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 12975 LNAI, 2021, p. 255-270
Wellmer, Zachary William; Kwok, Tin Yau
SEEN: Few-Shot Classification with SElf-ENsemble
Proceedings of the International Joint Conference on Neural Networks, v. 2021-July, July 2021
Jiang, Weisen; Zhang, Yu; Kwok, James Tin Yau
Time series anomaly detection with multiresolution ensemble decoding
Proceedings of the AAAI Conference on Artificial Intelligence, v. 35, (11), 2021, article number 17152, p. 9567-9575
Shen, Lifeng; Yu, Zhongzhong; Ma, Qianli; Kwok, Tin Yau


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Article 3

Generalized Convolutional Sparse Coding with Unknown Noise
IEEE Transactions on Image Processing, v. 29, 2020, article number 9049336, p. 5686-5395
Wang, Yaqing; Kwok, Tin Yau; Ni, Lionel Ming-shuan
Generalizing from a few examples: A survey on few-shot learning
ACM Computing Surveys, v. 53, (3), June 2020, article number 63
Wang, Yaqing; Yao, Quanming; Kwok, James Tin Yau; Ni, Lionel Ming-Shuan
Learning to Hash with Dimension Analysis based Quantizer for Image Retrieval
IEEE Transactions on Multimedia, v. 23, 23 October 2020, p. 3907-3918
Cao, Yuan; Qi, Heng; Gui, Jie; Li, Keqiu; Tang, Yuan Yan; Kwok, James Tin Yau

Book chapter 1

Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction
Federated Learning / Edited by Yang, Qiang, Fan, Lixin, Yu, Han. Switzerland : Springer International Publishing, 2020, p. 225-239, Series Title: Lecture Notes in Computer Science
Guo, Xiawei; Yao, Quanming; Kwok, James Tin Yau; Tu, Weiwei; Chen, Yuqiang; Dai, Wenyuan; Yang, Qiang

Conference paper 7

Advances in Recommender Systems: From Multi-stakeholder Marketplaces to Automated RecSys
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 23 August 2020, p. 3533-3534
Mehrotra, Rishabh; Carterette, Ben A.; Li, Yong; Yao, Quanming; Gao, Chen; Kwok, Tin Yau; Yang, Qiang; Guyon, Isabelle M.
Bridging the gap between sample-based and one-shot neural architecture search with BONAS
Advances in Neural Information Processing Systems, v. 2020-December, 2020
Shi, Han; Pi, Renjie; Xu, Hang; Li, Zhenguo; Kwok, James Tin Yau; Zhang, Tong
Effective Decoding in Graph Auto-Encoder Using Triadic Closure
Proceedings of the AAAI Conference on Artificial Intelligence, v. 34, (1), 2020, p. 906-913
Shi, Han; Fan, Haozheng; Kwok, James Tin Yau
Efficient Neural Interaction Function Search for Collaborative Filtering
The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020 / Editors: Yennun Huang, Irwin King, Tie-Yan Liu, Maarten van Steen. New York, NY, USA : ACM, 20020, p. 1660-1670
Yao, Quanming; Chen, Xiangning; Kwok, Tin Yau; Li, Yong; Hsieh, Cho-Jui
Efficient one-shot interaction functions search for collaborative filtering
The Web Conference, Taipei, Taiwan, 20-24 April 2020
Yao, Quanming; Chen, Xiangning; Kwok, James Tin Yau; Li, Yong; Hsieh, Cho-Jui
Searching to Exploit Memorization Effect in Learning with Noisy Labels
37th International Conference on Machine Learning, ICML 2020, v. PartF168147-14, July 2020, p. 10720-10729
Yao, Quanming; Yang, Hansi; Han, Bo; Niu, Gang; Kwok, James Tin Yau
Timeseries anomaly detection using temporal hierarchical one-class network
Advances in Neural Information Processing Systems, v. 2020-December, 2020
Shen, Lifeng; Li, Zhuocong; Kwok, James Tin Yau


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Article 3

Accelerated and Inexact Soft-Impute for Large-Scale Matrix and Tensor Completion
IEEE Transactions on Knowledge and Data Engineering, v. 31, (9), September 2019, p. 1665-1679
Yao, Quanming; Kwok, Tin Yau
Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers
IEEE Transactions on Pattern Analysis and Machine Intelligence, v. 41, (11), November 2019, p. 2628-2643
Yao, Quanming; Kwok, Tin Yau; Wang, Taifeng; Liu, Tie-Yan
Low-rank Matrix Learning Using Biconvex Surrogate Minimization
IEEE Transactions on Neural Networks and Learning Systems, v. 30, (11), November 2019, article number 8793230, p. 3517-3527
Hu, Enliang; Kwok, James Tin Yau

Conference paper 9

Analysis of Quantized Models
7th International Conference on Learning Representations, ICLR 2019, 2019
Hou, Lu; Zhang, Ruiliang; Kwok, Tin Yau
Communication-efficient distributed blockwise momentum sgd with error-feedback
Advances in Neural Information Processing Systems 32 (Nips 2019), v. 32, 2019
Zheng, Shuai; Huang, Ziyue; Kwok, James Tin Yau
Dynamic unit surgery for deep neural network compression and acceleration
2019 International Joint Conference on Neural Networks (IJCNN) / International Neural Network Society (INNS); IEEE Computational Intelligence Society. Budapest, Hungary : IEEE, 2019, Article number 8852368
Kim, Minsam; Kwok, Tin Yau
Efficient nonconvex regularized tensor completion with structure-aware proximal iterations
Proceedings of Machine Learning Research, v. 97, 2019, p. 7035-7044
Yao, Quanming; Kwok, Tin Yau; Bo, Han
Efficient Nonconvex Regularized Tensor Completion with Structure-Aware Proximal Iterations
36th International Conference on Machine Learning, ICML 2019, (Part 18), 2019, p. 12174-12188
Yao, Quanming; Kwok, James Tin Yau; Bo, Han
Normalization helps training of quantized LSTM
Advances in Neural Information Processing Systems, v. 32, 2019
Hou, Lu; Zhu, Jinhua; Kwok, James Tin Yau; Gao, Fei; Qin, Tao; Liu, Tie-Yan
Policy Prediction Network: Model-Free Behavior Policy with Model-Based Learning in Continuous Action Space
ECML PKDD 2019: Machine Learning and Knowledge Discovery in Databases, v. 11908 LNAI, 2020, p. 118-133
Wellmer, Zachary William; Kwok, James
Privacy-preserving stacking with application to cross-organizational diabetes prediction
Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI-19), 2019, p. 4114-4120
Yao, Quanming; Guo, Xiawei; Kwok, James Tin Yau; Tu, Weiwei; Chen, Yuqiang; Dai, Wenyuan; Yang, Qiang
Privacy-preserving Stacking With Application to Cross-organizational Diabetes Prediction
IJCAI International Joint Conference on Artificial Intelligence, v. 2019-August, 2019, p. 4114-4120
Yao, Quanming; Guo, Xiawei; Kwok, Tin Yau; Tu, Weiwei; Chen, Yuqiang; Dai, Wenyuan; Yang, Qiang


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Article 4

Efficient learning with a family of nonconvex regularizers by redistributing nonconvexity
Journal of Machine Learning Research, v. 18, 2018, article number 179
Yao, Quanming; Kwok, Tin Yau
Fast-Solving Quasi-Optimal LS-S³VM Based on an Extended Candidate Set
IEEE Transactions on Neural Networks and Learning Systems, v. 29, (4), April 2018, p. 1120-1131
Ma, Yuefeng; Liang, Xun; Kwok, Tin Yau; Li, Jianping; Zhou, Xiaoping; Zhang, Haiyan
Multi-Label Learning with Global and Local Label Correlation
IEEE Transactions on Knowledge and Data Engineering, v. 30, (6), June 2018, p. 1081-1094
Zhu, Yue; Kwok, Tin Yau; Zhou, Zhi-Hua
Scalable Online Convolutional Sparse Coding
IEEE Transactions on Image Processing, v. 27, (10), October 2018, p. 4850-4859
Wang, Yaqing; Yao, Quanming; Kwok, Tin Yau; Ni, Lionel Ming-shuan

Conference paper 6

Lightweight Stochastic Optimization for Minimizing Finite Sums with Infinite Data
35th International Conference on Machine Learning, ICML 2018, v. 13, 2018, p. 9455-9475
Zheng, Shuai; Kwok, Tin Yau
Lightweight Stochastic Optimization for Minimizing Finite Sums with Infinite Data
Proceedings of Machine Learning Research, v. 80, 2018, p. 5932-5940
Zheng, Shuai; Kwok, Tin Yau
Loss-aware Weight Quantization of Deep Networks
6th International Conference on Learning Representations (ICLR 2018), Vancouver, Canada, 30 Apr - 3 May 2018
Hou, Lu; Kwok, Tin Yau
Online Convolutional Sparse Coding with Sample-dependent Dictionary
35th International Conference on Machine Learning, ICML 2018, v. 12, 2018, p. 8267-8277
Wang, Yaqing; Yao, Quanming; Kwok, Tin Yau; Ni, Lionel Ming-Shuan
Online Convolutional Sparse Coding with Sample-Dependent Dictionary
Proceedings of Machine Learning Research, v. 80, July 2018, p. 5209-5218
Wang, Yaqing; Yao, Quanming; Kwok, Tin Yau; NI, Lionel Ming-Shuan
Scalable Robust Matrix Factorization with Nonconvex Loss
Advances in Neural Information Processing Systems, v. 2018-December, 2018, p. 5061-5070
Yao, Quanming; Kwok, Tin Yau


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Article 2

A Note on the Unification of Adaptive Online Learning
IEEE Transactions on Neural Networks and Learning Systems, v. 28, (5), May 2017, article number 7419245, p. 1178-1191
He, Wenwu; Kwok, James Tin-Yau; Zhu, Ji; Liu, Yang
Multi-Label learning in the independent label sub-spaces
Pattern Recognition Letters, v. 97, 1 October 2017, p. 8-12
Jebalbarezi Sarbijan, Elham; Kwok, Tin Yau; Rabiee, Hamid R.

Conference paper 8

Collaborative Filtering with Social Local Models
Proceedings - IEEE International Conference on Data Mining, ICDM, v. 2017-November, December 2017, p. 645-654
Zhao, Huan; Yao, Quanming; Kwok, James Tin Yau; Lee, Dik Lun
Efficient Inexact Proximal Gradient Algorithm for Nonconvex Problems
Proceedings of the Twenty-sixth International Joint Conferences on Artifical Intelligence, Edited by Carles Sierra, IIIA-CSIC. International Joint Conferences on Artificial Intelligence, 2017, p. 3308-3314
Yao, Quanming; Kwok, James Tin Yau; Gao, Fei; Chen, Wei; Liu, Tie-yan
Efficient Sparse Low-Rank Tensor Completion Using the Frank-Wolfe Algorithm
Proceedings of the AAAI Conference on Artificial Intelligence, v. 31, (1), 2017, article number 10886, p. 1948-1954
Guo, Xiawei; Yao, Quanming; Kwok, James Tin Yau
Follow the Moving Leader in Deep Learning
34th International Conference on Machine Learning, ICML 2017, v. 8, 2017, p. 6215-6228
Zheng, Shuai; Kwok, James Tin Yau
Follow the Moving Leader in Deep Learning
Proceedings of Machine Learning Research, v. 70, August 2017, p. 4110-4119
Zheng, Shuai; Kwok, Tin Yau
Loss-aware Binarization of Deep Networks
5th International Conference on Learning Representations, ICLR 2017 - Conference Track Proceedings, International Conference on Learning Representations, ICLR, 2017
Hou, Lu; Yao, Quanming; Kwok, James Tin Yau
Training Neural-network-based Controller on Distributed Machine Learning Platform for Power Electronics Systems
2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017, v. 2017-January, November 2017, article number 8096563, p. 3083-3089
Wang, Wenguan; Chung, Henry Shu-hung; Cheng, R.; Leung, C.S.; Zhan, Xiaoqing; Lo, Alan Wai-lun; Kwok, Tin Yau; Xue, Chun Jason; Zhang, Jun
Zero-shot Learning With a Partial Set of Observed Attributes
Proceedings of the International Joint Conference on Neural Networks, v. 2017, June 2017, article number 7966332, p. 3777-3784
Wang, Yaqing; Kwok, James Tin Yau; Yao, Quanming; Ni, Lionel Ming-Shuan


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Conference paper 9

Aggregating Crowdsourced Ordinal Labels via Bayesian Clustering
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 9851 LNAI, 2016, p. 426-442
Guo, Xiawei; Kwok, James Tin Yau
Asynchronous Distributed Semi-stochastic Gradient Optimization
Proceedings of the AAAI Conference on Artificial Intelligence, v. 30, (1), 2016, article number 10286, p. 2323-2329
Zhang, Ruiliang; Zheng, Shuai; Kwok, James Tin Yau
Efficient Learning of Timeseries Shapelets
Proceedings of the AAAI Conference on Artificial Intelligence, v. 30, (1), 2016, article number 10178, p. 1209-1215
Hou, Lu; Kwok, James Tin Yau; Zurada, Jacek M.
Efficient learning with a family of nonconvex regularizers by redistributing nonconvexity
33rd International Conference on Machine Learning, ICML 2016, v. 6, 2016, p. 3905-3914
Yao, Quanming; Kwok, James Tin Yau
Efficient learning with a family of nonconvex regularizers by redistributing nonconvexity
Proceedings of Machine Learning Research, v. 48, 2016, p. 2645-2654
Yao, Quanming; Kwok, Tin Yau
Fast Nonsmooth Regularized Risk Minimization with Continuation
Proceedings of the AAAI Conference on Artificial Intelligence, v. 30, (1), 2016, article number 10284, p. 2393-2399
Zheng, Shuai; Zhang, Ruiliang; Kwok, James Tin Yau
Fast-and-Light Stochastic ADMM
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-16), July 2016, p. 2407-2413
Zheng, Shuai; Kwok, James Tin Yau
Greedy Learning of Generalized Low-Rank Models
IJCAI International Joint Conference on Artificial Intelligence, v. 2016, January 2016, p. 2294-2300
Yao, Quanming; Kwok, James Tin Yau
Towards Safe Semi-supervised Learning for Multivariate Performance Measures
Proceedings of the AAAI Conference on Artificial Intelligence, v. 30, (1), 2016, article number 10282, p. 1816-1822
Li, Yufeng; Kwok, James Tin Yau; Zhou, Zhi-Hua


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Article 4

Bayes-Optimal Hierarchical Multilabel Classification
IEEE Transactions on Knowledge and Data Engineering, v. 27, (11), November 2015, article number 7118216, p. 2907-2918
Bi, Wei; Kwok, Jame Tin Yau
Large-Scale Nystrom Kernel Matrix Approximation Using Randomized SVD
IEEE Transactions on Neural Networks and Learning Systems, v. 26, (1), January 2015, article number 6918503, p. 152-164
Li, Mu; Bi, Wei; Kwok, James Tin-Yau; Lu, Bao-Liang
Scalable Nonparametric Low-Rank Kernel Learning Using Block Coordinate Descent
IEEE Transactions on Neural Networks and Learning Systems, v. 26, (9), September 2015, article number 6928428, p. 1927-1938
Hu, En Liang; Kwok, James T.
Scaling Up Graph-Based Semisupervised Learning via Prototype Vector Machines
IEEE Transactions on Neural Networks and Learning Systems, v. 26, (3), March 2015, article number 6803073, p. 444-457
Zhang, Kai; Lan, Liang; Kwok, James Tin-Yau; Vucetic, Slobodan; Parvin, Bahram

Book chapter 1

Machine Learning
Springer Handbook of Computational Intelligence / Edited by Janusz Kacprzyk, Witold Pedrycz. Berlin, Heidelberg : Springer, Berlin, Heidelberg, 2015, p. 495-522
Kwok, James Tin Yau; Zhou, Zhi-Hua; Xu, Lei

Conference paper 5

Accelerated Inexact Soft-Impute for Fast Large-Scale Matrix Completion
IJCAI International Joint Conference on Artificial Intelligence, v. 2015, 2015, p. 4002-4008
Yao, Quanming; Kwok, James Tin Yau
Collaborative Filtering via Co-Factorization of Individuals and Groups
2015 International Joint Conference on Neural Networks (IJCNN 2015), Institute of Electrical and Electronics Engineers (IEEE), 2015
Huang, Yihai; Kwok, James Tin Yau
Colorization by patch-based local low-rank matrix completion
Proceedings of the AAAI Conference on Artificial Intelligence, v. 29, (1), 2015, article number 9479, p. 1959-1965
Yao, Quanming; Kwok, James Tin Yau
Fast Low-Rank Matrix Learning with Nonconvex Regularization
Proceedings: 15th IEEE International Conference on Data Mining (ICDM 2015), Editors: Charu Aggarwal, Zhi-Hua Zhou, Alexander Tuzhilin, Hui Xiong, and Xindong Wu. The Institute of Electrical and Electronics Engineers, Inc., 2015, p. 539-548
Yao, Quanming; Kwok, James Tin Yau; Zhong, Leon Wenliang
Fast Second-order Stochastic Backpropagation for Variational Inference
Advances in Neural Information Processing Systems, v. 28, 2015, p. 1387-1395
Fan, Kai; Wang, Ziteng; Beck, Jeffrey; Kwok, James; Heller, Katherine


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Article 3

Mandatory Leaf Node Prediction in Hierarchical Multilabel Classification
IEEE Transactions on Neural Networks and Learning Systems, v. 25, (12), December 2014, article number 6810887, p. 2275-2287
Bi, Wei; Kwok, Tin Yau,James
Selected Papers From the 2011 International Conference on Neural Information Processing (ICONIP 2011)
Neurocomputing, v. 129, April 2014, p. 1-2
Kwok, James Tin Yau; Zhang, Liqing; Lu, Hongtao
Simple randomized algorithms for online learning with kernels
Neural Networks, v. 60, 2014, p. 17-24
He, Wenwu; Kwok, James Tin Yau

Conference paper 7

Accelerated stochastic gradient method for composite regularization
Proceedings of Machine Learning Research, v. 33, 2014, p. 1086-1094
Zhong, Leon Wenliang; Kwok, James Tin Yau
Accurate Integration of Aerosol Predictions by Smoothing on a Manifold
Proceedings of the AAAI Conference on Artificial Intelligence, v. 28, (1), 2014, article number 8900, p. 1376-1382
Zheng, Shuai; Kwok, James Tin Yau
Asynchronous Distributed ADMM for Consensus Optimization
31st International Conference on Machine Learning, Beijing, China, v. 5, 2014, p. 3689-3697
Zhang, Ruiliang; Kwok, James Tin Yau
Fast stochastic alternating direction method of multipliers
31st International Conference on Machine Learning, Beijing, China, v. 1, 2014, p. 78-86
Zhong, Leon Wenliang; Kwok, James Tin Yau
Gradient Descent with Proximal Average for Nonconvex and Composite Regularization
Proceedings of the AAAI Conference on Artificial Intelligence, v. 28, (1), 2014, p. 2206-2212
Zhong, Leon Wenliang; Kwok, James Tin Yau
Learning to Predict from Crowd Sourced Data
Uncertainty in Artificial Intelligence - Proceedings of the 30th Conference, 2014, p. 82-91
Bi, Wei; Wang, Liwei; Kwok, James Tin-Yau; Tu, Zhuowen
Multilabel Classification With Label Correlations and Missing Labels
Proceedings of the AAAI Conference on Artificial Intelligence, v. 28, (1), 2014, article number 8996, p. 1680-1686
Bi, Wei; Kwok, James Tin Yau


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Article 1

Convex and Scalable Weakly Labeled SVMs
Journal of Machine Learning Research, v. 14, June 2013, p. 2151-2188
Li, Yu-Feng; Tsang, Ivor W.; Kwok, James Tin Yau; Zhou, Zhi-Hua

Conference paper 7

Accurate Probability Calibration for Multiple Classifiers
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. 1939-1945
Zhong, Wenliang; Kwok, James Tin Yau
Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels
30th International Conference on Machine Learning, ICML 2013, (PART 2), 2013, p. 1425-1432
Zhang, Kai; Zheng, Vincentwenchen; Wang, Qiaojun; Kwok, James Tin Yau; Yang, Qiang; Mar?i?, Ivan
Efficient Kernel Learning from Side Information Using ADMM
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. 1408-1414
Hu, En-Liang; Kwok, James Tin Yau
Efficient Learning for Models with DAG-Structured Parameter Constraints
2013 IEEE 13th International Conference on Data Mining (ICDM 2013), Institute of Electrical and Electronics Engineers (IEEE), 2013
Zhong, Wenliang; Kwok, James Tin Yau
Efficient Multi-label Classification with Many Labels
30th International Conference on Machine Learning, ICML 2013, (PART 2), 2013, p. 1442-1450
Bi, Wei; Kwok, James Tin Yau
Flexible Nonparametric Kernel Learning with Different Loss Functions
Neural Information Processing: 20th International Conference, ICONIP 2013: Proceedings, Part II, Editors: Minho Lee, Akira Hirose, Zeng-Guang Hou, Rhee Man Kil. Berlin; Heidelberg : Springer-Verlag, 2013, p. 116-123, Part of the Lecture Notes in Computer Science book series (LNCS, volume 8227)
Hu, En-Liang; Kwok, James Tin Yau
Learning from High-Dimensional Data in Multitask/Multilabel Classification
2013 2nd IAPR Asian Conference on Pattern Recognition (ACPR 2013), Institute of Electrical and Electronics Engineers (IEEE), 2013, p. 16-17
Kwok, James Tin Yau


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Article 3

A brief introduction to the special issue for ISNN2010
Neurocomputing, v. 76, January 2012, p. 1
Zhang, Liqing; Kwok, James; Zhang, Changshui
Bilinear Probabilistic Principal Component Analysis
IEEE transaction on neural networks and learning systems, v. 23, (3), March 2012, p. 492-503
Zhao, Jianhua; Yu, Philip L.H.; Kwok, James Tin-Yau
Efficient Sparse Modeling With Automatic Feature Grouping
IEEE transactions on neural networks and learning systems, v. 23, (9), 2012, Sept, p. 1436-1447
Zhong, Leon Wenliang; Kwok, James Tin Yau

Conference paper 3

Convex multitask learning with flexible task clusters
Proceedings of the 29th International Conference on Machine Learning, ICML 2012, v. 1, 2012, p. 49-56
Zhong, Wenliang; Kwok, James Tin Yau
Hierarchical Multilabel Classification with Minimum Bayes Risk
IEEE International Conference on Data Mining, Brussels, Belgium, 2012, p. 101-110
Bi, Wei; Kwok, James Tin-Yau
Mandatory leaf node prediction in hierarchical multilabel classification
Advances in Neural Information Processing Systems, (The 26th Annual Conference on Neural Information Processing Systems 2012, NIPS 2012), v. 1, 2012, p. 153-161
Bi, Wei; Kwok, James Tin-Yau


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Article 3

A Hybrid PSO-BFGS Strategy for Global Optimization of Multimodal Functions
IEEE transactions on systems, man and cybernetics. Part B. Cybernetics, v. 41, (4), August 2011, Article number 5704208, p. 1003-1014
Li, Shutao; Tan, Mingkui; Tsang, Ivor W.; Kwok, James Tin-Yau
Domain Adaptation via Transfer Component Analysis
IEEE transactions on neural networks, v. 22, (2), February 2011, Article number 5640675, p. 199-210
Pan, Sinnojialin; Tsang, Ivor; Kwok, James Tin Yau; Yang, Qiang
Incorporating cellular sorting structure for better prediction of protein subcellular locations
Journal of experimental and theoretical artificial intelligence, v. 23, 2011, p. 79-95
Yang, Wen-Yun; Lu, Bao-Liang; Kwok, James Tin-Yau

Book 1

Neural Information Processing - 18th International Conference, Proceedings
Lecture Notes in Computer Science / v. 7062, Nov, 2011
Lu, Bao Liang; Zhang, Liqing; Kwok, James

Conference paper 4

Efficient sparse modeling with automatic feature grouping
Proceedings of the 28th International Conference on Machine Learning, ICML 2011, 2011, p. 9-16
Zhong, Wenliang; Kwok, James Tin Yau
Multi-label classification on tree- and DAG-structured hierarchies
Proceedings of the 28th International Conference on Machine Learning, ICML 2011, 2011, p. 17-24
Bi, Wei; Kwok, James Tin-Yau
Structured clustering with automatic kernel adaptation
Proceedings of the International Joint Conference on Neural Networks, 2011, Article number 6033377, p. 1322-1327
Pan, Weike; Kwok, James Tin-Yau
Time and Space Efficient Spectral Clustering via Column Sampling
IEEE Conference on Computer Vision & Pattern Recognition (CVPR), Colorado Springs, CO, June 2011, p. 2297-2304
Li, Mu; Lian, Xiao-Chen; Kwok, James Tin-Yau; Lu, Bao-Liang


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Article 7

Clustered Nystr?m method for large scale manifold learning and dimension reduction
IEEE Transactions on Neural Networks, v. 21, (10), 2010, Oct, p. 1576-1587
Zhang, Kai; Kwok, James Tin-Yau
Fast and accurate kernel density approximation using a divide-and-conquer approach
Journal OF Zhejiang university-science c-computers & ELECTRONICS, v. 11, (9), 2010, SEP, p. 677-689
Jin, Yan-xia; Zhang, Kai; Kwok, James Tin-Yau; Zhou, Han-chang
Incorporating the loss function into discriminative clustering of structured outputs
IEEE Transactions on Neural Networks, v. 21, (10), 2010, p. 1564-1575
Zhong, Wenliang; Pan, Weike; Kwok, James Tin; Tsang, Ivor W.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 6064 LNCS, (2), 2010
Zhang, Liqing; Kwok, James Tin Yau; Lü, Baoliang
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface
Lecture Notes in Computer Science: including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, v. 6063, (1), 2010
Zhang, Liqing; Kwok, James; Lü, Baoliang
Simplifying Mixture Models Through Function Approximation
IEEE transactions on neural networks, v. 21, (4), 2010, APR, p. 644-658
Zhang, Kai; Kwok, James Tin-Yau
Text detection in images using sparse representation with discriminative dictionaries
Image and vision computing, v. 28, (12), 2010, DEC, p. 1590-1599
Zhao, Ming; Li, Shutao; Kwok, James

Book 1

Advances in Neural Networks--ISNN 2010: 7th International Symposium on Neural Networks, ISNN, Shanghai, China, June 6-9, 2010: proceedings
Advances in Neural Networks--ISNN 2010: 7th International Symposium on Neural Networks, ISNN, Shanghai, China, June 6-9, 2010: proceedings / Edited by Liqing Zhang, Bao-Liang Lu, James Kwok. Berlin: Springer, 2010
Zhang, Liqing; Lu, Bao-Liang; Kwok, James

Conference paper 5

Cost-sensitive semi-supervised support vector machine
Proceedings of the AAAI Conference on Artificial Intelligence, v. 24, (1), 2010, article number 7661, p. 500-505
Li, Yufeng; Kwok, James Tin-Yau; Zhou, Zhi-Hua
Making large-scale Nystr?m approximation possible
Proceedings of the 27th International Conference on Machine Learning, ICML 2010, 2010, p. 631-638
Li, Mu; Kwok, James Tin-Yau; Lü, Baoliang
Manifold Regularization for Structured Outputs via the Joint Kernel
IEEE International Conference on Neural Networks (ICNN), 2010
Hu, Chonghai; Kwok, James Tin-Yau
Online Multiple Instance Learning with No Regret
IEEE Conference on Computer Vision & Pattern Recognition (CVPR), 2010, p. 1395-1401
Li, Mu; Kwok, James Tin-Yau; Lu, Bao-Liang
Spectral and semidefinite relaxations of the CLUHSIC algorithm
Proceedings of the 10th SIAM International Conference on Data Mining, SDM 2010, 2010, p. 106-117
Yang, Wen-Yun; Kwok, James Tin-Yau; Lu, Bao-Liang


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Article 5

Building Sparse Multiple-Kernel SVM Classifiers
IEEE transactions on neural networks, v. 20, (5), 2009, MAY, p. 827-839
Hu, Mingqing; Chen, Yidiang; Kwok, James Tin-Yau
Density-Weighted Nystrom Method for Computing Large Kernel Eigensystems
Neural computation, v. 21, (1), 2009, JAN, p. 121-146
Zhang, Kai; Kwok, James Tin-Yau
Maximum Margin Clustering Made Practical
IEEE transactions on neural networks, v. 20, (4), 2009, APR, p. 583-596
Zhang, Kai; Tsang, Ivor W.; Kwok, James Tin-Yau
Maximum Penalized Likelihood Kernel Regression for Fast Adaptation
IEEE Transactions on Audio, Speech and Language Processing, v. 17, (7), September 2009, article number 5165120, p. 1372-1381
Mak, Brian Kan-Wing; Lai, Tsz-Chung; Tsang, Ivor W.; Kwok, James Tin-Yau
用于图分类的组合维核方法
计算机学报=Chinese Journal of Computers, v. 32, (5), 2009, p. 946-952
李宇峰; 郭天佑; 周志華

Conference paper 10

A convex method for locating regions of interest with multi-instance learning
European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2009; Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ; Bled; Slovenia, 7 September 2009 through 11 September 2009; Code 77688, Volume 5782 LNAI, Issue PART 2, 2009, Pages 15-30
Li, Yu-Feng; Kwok, James Tin-Yau; Tsang, Ivor; Zhou, Zhi-Hua
Accelerated gradient method for multi-task sparse learning problem
Proceedings - IEEE International Conference on Data Mining, ICDM, 2009, p. 746-751
Chen, Xi; Pan, Weike; Kwok, James; Carbonell, Jaime G.
Accelerated gradient methods for stochastic optimization and online learning
Proceedings of the 23rd Annual Conference on Neural Information Processing Systems, Vancouver, B. C., Canada, 7-9 December 2009,
Hu, Chonghai; Kwok, James Tin-Yau; Pan, Weike
Domain Adaptation via Transfer Component Analysis
21st International Joint Conference on Artificial Intelligence, IJCAI-09; Pasadena, CA; United States, 11 July 2009 through 17 July 2009; Code 83585, Pages 1187-1192
Pan, Sinnojialin; Tsang, Ivor W.; Kwok, James Tin Yau; Yang, Qiang
Maximum margin clustering with multivariate loss function
Proceedings - 9th IEEE International Conference on Data Mining, ICDM 2009; Miami, FL; United States, 2009, Article number 5360290, Pages 637-646
Zhao, Bin; Kwok, James; Zhang, Changshui
Multiple kernel clustering
Society for Industrial and Applied Mathematics - 9th SIAM International Conference on Data Mining 2009, Proceedings in Applied Mathematics, SDM 2009; Sparks, NV; United States, 30 April 2009 through 2 May 2009; Code 78702, Volume 2, 2009, Pages 634-645
Zhao, Bin; Kwok, James Tin-Yau; Zhang, Changshui
Prototype vector machine for large scale semi-supervised learning
ACM International Conference Proceeding Series, v. 382, 2009, article number 155, p. 1233-1240
Zhang, Kai; Kwok, James Tin-Yau; Parvin, Bahram
Semi-Supervised learning using label mean
ACM International Conference Proceeding Series, v. 382, 2009, article number 79, p. 633-640
Li, Yufeng; Kwok, James Tin-Yau; Zhou, Zhi-Hua
Tighter and convex maximum margin clustering
Proceedings of Machine Learning Research, v. 5, 2009, p. 344-351
Li, Yu-feng; Tsang, Ivor; Kwok, James Tin-Yau; Zhou, Zhi-hua
Unsupervised maximum margin feature selection with manifold regularization
2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009, 2009, p. 888-895
Zhao, Bin; Kwok, James Tin-Yau; Wang, Fei; Zhang, Changshui


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Article 3

Large-scale maximum margin discriminant analysis using core vector machines
IEEE transactions on neural networks, v. 19, (4), 2008, APR, p. 610-624
Tsang, Ivor Wai-Hung; Kocsor, Andras; Kwok, James Tin-Yau
Matrix-Variate Factor Analysis and Its Applications
IEEE transactions on neural networks, v. 19, (10), 2008, OCT, p. 1821-1826
Xie, Xianchao; Yan, Shuicheng; Kwok, James Tin-Yau; Huang, Thomas S.
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 3

Improved Nystr?m low-rank approximation and error analysis
Proceedings of the 25th International Conference on Machine Learning, ICML'08, 2008, p. 1232-1239
Zhang, Kai; Tsang, Ivor; Kwok, James Tin-Yau
Transfer learning via dimensionality reduction
Proceedings of the National Conference on Artificial Intelligence, v. 2, 2008, p. 677-682
Pan, Sinnojialin; Kwok, James Tin Yau; Yang, Qiang
Transferring localization models across space
23rd AAAI Conference on Artificial Intelligence and the 20th Innovative Applications of Artificial Intelligence Conference, AAAI-08/IAAI-08; Chicago, IL; United States, v. 3, 13 July 2008 through 17 July 2008; Code 74777, Pages 1383-1388
Pan, Sinnojialin; Shen, Dou; Yang, Qiang; Kwok, James Tin Yau


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Article 5

A class of single-class minimax probability machines for novelty detection
IEEE transactions on neural networks, v. 18, (3), 2007, MAY, p. 778-785
Kwok, James Tin-Yau; Tsang, Ivor Wai-Hung; Zurada, Jacek M.
End-to-end privacy control in service outsourcing of human intensive processes: A multi-layered Web service integration approach
Information Systems Frontiers, v. 9, (1), 2007, MAR, p. 85-101
Hung, Patrick C.K.; Chiu, Dickson K.W.; Fung, W.W.; Cheung, William Kwok Wai; Wong, Raymond; Choi, Samuel P.M.; Kafeza, Eleanna; Kwok, James Tin-Yau; Pun, Joshua C.C.; Cheng, Vivying
Face recognition using spectral features
Pattern recognition, v. 40, (10), 2007, OCT, p. 2786-2797
Wang, Fei; Wang, Jingdong; Zhang, Changshui; Kwok, James
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
SVDD-based pattern denoising
Neural computation, v. 19, (7), 2007, JUL, p. 1919-1938
Park, Jooyoung; Kang, Daesung; Kim, Jongho; Kwok, James Tin-Yau; Tsang, Ivor W.

Conference paper 7

Adaptive localization in a dynamic WiFi environment through multi-view learning
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence and the Nineteenth Innovative Applications of Artificial Intelligence Conference, v. 2 / edited by Hunter A. Palo Alto, California : AAAI Press, 2007, p. 1108-1113
Pan, Jialin Sinno; Kwok, James Tin Yau; Yang, Qiang; Pan, Junfeng Jeffrey
Ensembles of Partially Trained SVMs with Multiplicative Updates
20th International Joint Conference on Artificial Intelligence, IJCAI 2007; Hyderabad; India, 6 January 2007 through 12 January 2007; Code 97873, Pages 1089-1094
Tsang, Ivor W.; Kwok, James Tin-Yau
Large-scale sparsified manifold regularization
20th Annual Conference on Neural Information Processing Systems, NIPS 2006; Advances in Neural Information Processing Systems; Vancouver, BC; Canada, Dec 4-7, 2006, Code 91224, Pages 1401-1408
Tsang, Ivor; Kwok, James
Marginalized Multi-Instance Kernels
20th International Joint Conference on Artificial Intelligence, IJCAI 2007; Hyderabad; India, 2007, Code 97873, Pages 901-906
Kwok, James Tin-Yau; Cheung, Pak-Ming
Maximum margin clustering made practical
ACM International Conference Proceeding Series, v. 227, 2007, p. 1119-1126
Zhang, Kai; Tsang, Ivor; Kwok, James Tin-Yau
Simpler core vector machines with enclosing balls
ACM International Conference Proceeding Series, v. 227, 2007, p. 911-918
Tsang, Ivor; Kocsor, András; Kwok, James Tin-Yau
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


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Article 10

A novel incremental principal component analysis and its application for face recognition
IEEE Transactions on Systems, Man and Cybernetics, PART B (Cybernetics), v.36, (4), 2006, AUG, p.873-886
Zhao, Haitao; Yuen, Pong Chi; Kwok, James Tin-Yau
Accelerated convergence using dynamic mean shift
Lecture Notes in Computer Science, v. 3952, (Part 2), 2006, p. 257-268
Zhang, Kai; Kwok, James Tin-Yau; Tang, Ming
Diversified SVM ensembles for large data sets
Lecture Notes in Computer Science, v. 4212, 2006, p. 792-800
Tsang, Ivor; Kocsor, Andras; Kwok, James Tin-Yau
Efficient hyperkernel learning using second-order cone programming
IEEE transactions on neural networks, v. 17, (1), 2006, JAN, p. 48-58
Tsang, Ivor; Kwok, James Tin-Yau
Embedded kernel eigenvoice speaker adaptation and its implication to reference speaker weighting
IEEE Transactions on Audio, Speech, and Language Processing, v. 14, (4), July 2006
Mak, Brian Kan Wing; Hsiao, Roger; Ho, Simon; Kwok, James Tin-Yau
Facial image reconstruction by SVDD-based pattern de-noising
Lecture Notes in Computer Science, v. 3832, 2006, p. 129-135
Park, Jooyoung; Kang, Daesung; Kwok, James Tin-Yau; Lee, Sangwoong; Hwang, Bonwoo; Lee, Seongwhan
Gene feature extraction using T-test statistics and kernel partial least squares
Lecture Notes in Computer Science, v. 4234, 2006, p. 11-20
Li, Shutao; Liao, Chen; Kwok, James Tin-Yau
Generalized core vector machines
IEEE transactions on neural networks, v. 17, (5), 2006, SEP, p. 1126-1140
Tsang, Ivor Wai-Hung; Kwok, James Tin-Yau; Zurada, Jacek M.
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
Multidimensional vector regression for accurate and low-cost location estimation in pervasive computing
IEEE transactions on knowledge and data engineering, v. 18, (9), September 2006, Article number 1661510, Pages 1181-1193
Pan, JeffreyJunfeng; Kwok, James Tin Yau; Yang, Qiang; Chen, Yiqiang

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 10

A regularization framework for multiple-instance learning
ACM International Conference Proceeding Series, v. 148, 2006, p. 193-200
Cheung, Pak Ming; Kwok, James Tin-Yau
Block-quantized kernel matrix for fast spectral embedding
ACM International Conference Proceeding Series, v. 148, 2006, p. 1097-1104
Zhang, Kai; Kwok, James Tin-Yau
Efficient classification of multi-label and imbalanced data using min-max modular classifiers
IEEE International Conference on Neural Networks - Conference Proceedings, 2006, p. 1770-1775
Chen, Ken; Lü, Baoliang; Kwok, James Tin-Yau
Efficient kernel feature extraction for massive data sets
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, v. 2006, 2006, p. 724-729
Tsang, Ivor; Kocsor, András; Kwok, James Tin-Yau
Fast speaker adaption via maximum penalized likelihood kernel regression
2006 IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, ICASSP 2006; Toulouse; France, Volume 1, 2006, Article number 1660191, Pages I997-I1000
Tsang, Ivor W.; Kwok, James Tin-Yau; Mak, Brian; Zhang, Kai; Pan, Jeffrey Junfeng
Learning the kernel in mahalanobis one-class support vector machines
IEEE International Conference on Neural Networks - Conference Proceedings, 2006, p. 1169-1175
Tsang, Ivor; Kwok, James Tin-Yau; Li, Shutao
Locally adaptive classification piloted by uncertainty
ACM International Conference Proceeding Series, v. 148, 2006, p. 225-232
Juan, Dai; Yan, Shuicheng; Tang, Xiaoou; Kwok, Tin Yau
Multimodal registration using the discrete wavelet frame transform
Proceedings - International Conference on Pattern Recognition, v. 3, 2006, p. 877-880
Li, Shutao; Peng, Jinglin; Kwok, James Tin-Yau; Zhang, Jing
Simplifying mixture models through function approximation
20th Annual Conference on Neural Information Processing Systems, NIPS 2006; Advances in Neural Information Processing Systems; Vancouver, BC; Canada, Dec 4-7, 2006, Code 91224, Pages 1577-1584
Zhang, Kai; Kwok, James
Wavelet-based feature extraction for microarray data classification
IEEE International Conference on Neural Networks - Conference Proceedings, 2006, p. 5028-5033
Li, Shutao; Liao, Chen; Kwok, James Tin-Yau


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Article 2

Core vector machines: Fast SVM training on very large data sets
Journal of Machine Learning Research, v. 6, April 2005, p. 363-392
Tsang, Ivor; Kwok, James Tin-Yau; Cheung, Pak Ming
Kernel eigenvoice speaker adaptation
IEEE Transactions on Speech and Audio Processing, v. 13, (5), September 2005, p. 984-992
Mak, Brian Kan Wing; Kwok, James Tin-Yau; Ho, Simon

Conference paper 10

Accurate and Low-cost Location Estimation Using Kernels
2005, 30 July 2005 through 5 August 2005; Code 97872 p. 1366-1371
Pan, Jeffery Junfeng; Kwok, James Tin-Yau; Yang, Qiang; Chen, Yiqiang
Applying neighborhood consistency for fast clustering and kernel density estimation
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, v. 2, 2005, p. 1001-1007
Zhang, Kai; Tang, Ming; Kwok, James Tin-Yau
Core vector regression for very large regression problems
Proceedings of the 22nd international conference on Machine learning, ICML'05, 2005, p. 913-920
Tsang, Ivor; Kwok, James Tin Yau; Lai, T. Kimo
Data-dependent kernels for high-dimensional data classification
Proceedings of the International Joint Conference on Neural Networks, v. 1, 2005, p. 102-107
Wang, Jingdong; Kwok, James Tin-Yau; Shen, Helen; Quan, Long
Kernel relevant component analysis for distance metric learning
Proceedings of the International Joint Conference on Neural Networks, v. 2, 2005, p. 954-959
Tsang, Ivor; Cheung, PakMing; Kwok, James Tin-Yau
Page segmentation using mathematical morphology
Proceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005, v. 2005, 2005, p. 89-92
Qinghua, Shen; Shutao, Li; Kwok, James Tin-Yau
Pattern de-noising based on support ector data description
Proceedings of the International Joint Conference on Neural Networks, v. 2, 2005, p. 949-953
Park, Jooyoung; Kang, Daesung; Kim, Jongho; Kwok, James Tin-Yau; Tsang, Ivor
Position estimation tor wireless sensor networks
GLOBECOM - IEEE Global Telecommunications Conference, v. 5, 2005, p. 2772-2776
Wong, K. F. Simon; Tsang, Ivor; Cheung, Victor; Chan, Gary Shueng Han; Kwok, James Tin-Yau
Towards end-to-end privacy control in the outsourcing of marketing activities: A web service integration solution
ACM International Conference Proceeding Series, v. 113, 2005, p. 454-461
Hung, Patrick C.K.; Chiu, Dickson K.W.; Fung, W.W.; Cheung, William K.; Wong, Raymond; Choi, Samuel P.M.; Kafeza, Eleanna; Kwok, James Tin-Yau; Pun, Chun Chung Joshua; Cheng, Vivying
Very large SVM training using core vector machines
Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics. Barbados, January 2005, Code 90668, Pages 349-356
Tsang, Ivor; Kwok, James; Cheung, Pak-Ming


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Article 5

Dissimilarity learning for nominal data
Pattern recognition, v. 37, (7), 2004, JUL, p. 1471-1477
Cheng, Victor; Li, Chunhung; Kwok, James Tin-Yau; Li, Chikwong
Efficient hyperkernel learning using second-order cone programming
Lecture Notes in Computer Science, v. 3201, 2004, p. 453-464
Tsang, Ivor; Kwok, James Tin-Yau
Fusing images with different focuses using support vector machines
IEEE transactions on neural networks, v. 15, (6), 2004, NOV, p. 1555-1561
Li, Shutao; Kwok, James Tin-Yau; Tsang, Ivor; Wang, Yaonan
Signal de-noising by improving soft thresholding on the dyadic wavelet transform
自动化学报=Acta Automatica Sinica, v. 2004, (02), 2004, p. 199-206
祝海龍; 郭天佑; 屈梁生
The pre-image problem in kernel methods
IEEE transactions on neural networks, v. 15, (6), 2004, NOV, p. 1517-1525
Kwok, James Tin-Yau; Tsang, Ivor

Conference paper 10

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
Eigenvoice speaker adaptation via composite kernel PCA
Advances in neural information processing systems, v. 16, 2004, p. 1401-1408
Kwok, James Tin-Yau; Mak, Brian Kan Wing; Ho, Simon Ka-Lung
Incremental PCA based face recognition
2004 8th International Conference on Control, Automation, Robotics and Vision (ICARCV), v. 1, 2004, p. 687-691
Zhao, Haitao; Yuen, Pong Chi; Kwok, James Tin-Yau; Yang, Jingyu
Scaling up support vector data description by using core-sets
IEEE International Conference on Neural Networks - Conference Proceedings, v. 1, 2004, p. 425-430
Chu, Calvin S.; Tsang, Ivor; Kwok, James Tin-Yau
Speedup of Kernel Eigenvoice Speaker Adaptation by Embedded Kernel PCA
Proceedings of the International Conference on Spoken Language Processing, , Jeju Island, South Korea, volume IV, pages 2913-2916,
Mak, Brian; Ho, Simon; Kwok, James
Study of various composite kernels for kernel eigenvoice speaker adaptation
2004 IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Montreal, Que; Canada, 2004, 17 May 2004 through 21 May 2004; Code 63500, p. 325-328
Mak, Brian Kan Wing; Kwok, James Tin-Yau; Ho, Simon Ka-Lung
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
Text extraction using edge detection and morphological dilation
2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004, 2004, p. 330-333
Li, Shutao; Kwok, James Tin-Yau
Using kernel PCA to improve eigenvoice speaker adaptation
Proceedings of 2004 International Conference on Machine Learning and Cybernetics, v. 5 / IEEE. Piscataway, NJ : IEEE, 2004, p. 3062-3067
Mak, Brian Kan Wing; Kwok, James Tin-Yau; Ho, Simon Ka-Lung


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Article 3

Linear dependency between ε and the input noise in ε-support vector regression
IEEE Transactions on Neural Networks, Volume 14, Issue 3, May 2003, Pages 544-553
Kwok, James Tin-Yau; Tsang, Ivor
Mining customer product rating for personalized marketing
Decision Support Systems, v. 35, (2), 2003, MAY, p. 231-243
Cheung, Kwok Wai; Kwok, James Tin-Yau; Law, Martin; Tsui, Kwokching
Texture classification using the support vector machines
Pattern recognition, v. 36, (12), 2003, DEC, p. 2883-2893
Li, Shutao; Kwok, James; Zhu, Hailong; Wang, Yaonan

Conference paper 4

Distance metric learning with kernels
International conference on artificial neural networks
Tsang, Ivor W.; Kwok, James T.
Incremental eigen decomposition
International Conference on Artificial Neural Networks
Kwok, James T.; Zhao, Haitao
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
The pre-image problem in kernel methods
Proceedings of Twentieth International Conference on Machine Learning, ICML 2003, v. 1, 2003, p. 408-415
Kwok, Tin Yau; Tsang, Ivor


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Article 3

Fusing images with multiple focuses using support vector machines
Lecture Notes in Computer Science, v. 2415, 2002, p. 1287-1292
Li, Shutao; Kwok, James Tin-Yau; Wang, Yaonan
Multifocus image fusion using artificial neural networks
Pattern recognition letters, v. 23, (8), 2002, JUN, p. 985-997
Li, Shutao; Kwok, James Tin-Yau; Wang, Yaonan
Using the discrete wavelet frame transform to merge Landsat TM and SPOT panchromatic images
Information Fusion, v. 3, (1), 2002, p. 17-23
Li, Shutao; Kwok, James; Wang, Yaonan

Conference paper 3

Finding the pre-images in kernel principal component analysis
6th Annual Workshop on Kernel Machines, Vancouver, Canada, December 2002
Kwok, James Tin-Yau; Tsang, I.W.
Fusing images with multiple focuses using support vector machines
Proceedings of the International Conference on Artificial Neural Networks, Madrid, Spain, August 2002, p. 405–410
Li, S.; Kwok, James Tin-Yau; Wang, Y.
Improving de-noising by coefficient de-noising and dyadic wavelet transform
Proceedings - International Conference on Pattern Recognition, v. 16, (2), 2002, p. 273-276
Zhu, Hailong; Kwok, James Tin-Yau; Qu, Liangsheng


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Article 2

Combination of images with diverse focuses using the spatial frequency
Information Fusion, v. 2, (3), September 2001, p. 169-176
Li, Shutao; Kwok, James Tin-Yau; Wang, Yaonan
Linear dependency between epsilon and the input noise in epsilon-support vector regression
Lecture Notes in Computer Science, v. 2130, 2001, p. 405-410
Kwok, JT

Conference paper 2

Applying the Bayesian evidence framework to nu-support vector regression
Proceedings of the Twelfth European Conference on Machine Learning Freiburg, Germany, 312-323
Law, Martin H.; Kwok, James T.
Bayesian support vector regression
Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, Key West, Florida, USA, January 2001, p. 239–244
Law, M.H.; Kwok, James Tin-Yau


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Article 1

The evidence framework applied to support vector machines
IEEE Transactions on Neural Networks, v. 11, (5), September 2000, p. 1162-1173
Kwok, James Tin-Yau

Conference paper 3

An extended genetic rule induction algorithm
Proceedings of the Congress on Evolutionary Computation (CEC), La Jolla, California, USA, July 2000, 16 July 2000 through 19 July 2000, p. 458–463
Liu, Julietjuan; Kwok, James Tin-Yau
Mining customer preference ratings for product recommendation using the support vector machine and the latent class model
Second International Conference on Data Mining, Data Minig II, Management Information Systems, Cambridge; United Kingdom, 5 July 2000 through 7 July 2000, Code 63530, p. 601–610
Cheung, Kwok Wai; Kwok, James Tin-Yau; Law, Martin; Tsui, Kwokching
Rival penalized competitive learning for model-based sequence clustering
In Proceedings of the International Conference on Pattern Recognition, Barcelona, Spain, v. 2, September 2000, p. 195-198
Law, Martin; Kwok, James Tin-Yau


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Article 1

Moderating the outputs of support vector machine classifiers
IEEE Transactions on Neural Networks, v. 10, 1999, p. 1018–1031
Kwok, James Tin-Yau

Conference paper 2

Integrating the evidence framework and the support vector machine
Proceedings of the European Symposium on Artificial Neural Networks, Bruges, Belgium, April 1999, p. 177–182
Kwok, James Tin-Yau
Moderating the outputs of support vector machine classifiers
Proceedings of the International Joint Conference on Neural Networks, Washington, D.C., July 1999, p. 943–948
Kwok, James Tin-Yau


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Conference paper 2

Automated text categorization using support vector machine
Proceedings of the International Conference on Neural Information Processing, Kitakyushu, Japan, October 1998, p. 347–351
Kwok, James Tin-Yau
Support vector mixture for classification and regression problems
Proceedings of the International Conference on Pattern Recognition, Brisbane, Australia, August 1998, p. 255–258
Kwok, James Tin-Yau


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Article 2

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


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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 2

Bayesian regularization in constructive neural networks
Lecture Notes in Computer Science, v. 1112, 1996, p. 557-562
Kwok, James Tin Yau; 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 1

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

Conference paper 1

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


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Conference paper 2

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


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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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2016 9

Aggregating Crowdsourced Ordinal Labels via Bayesian Clustering
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 9851 LNAI, 2016, p. 426-442
Guo, Xiawei; Kwok, James Tin Yau Conference paper
Asynchronous Distributed Semi-stochastic Gradient Optimization
Proceedings of the AAAI Conference on Artificial Intelligence, v. 30, (1), 2016, article number 10286, p. 2323-2329
Zhang, Ruiliang; Zheng, Shuai; Kwok, James Tin Yau Conference paper
Efficient Learning of Timeseries Shapelets
Proceedings of the AAAI Conference on Artificial Intelligence, v. 30, (1), 2016, article number 10178, p. 1209-1215
Hou, Lu; Kwok, James Tin Yau; Zurada, Jacek M. Conference paper
Efficient learning with a family of nonconvex regularizers by redistributing nonconvexity
33rd International Conference on Machine Learning, ICML 2016, v. 6, 2016, p. 3905-3914
Yao, Quanming; Kwok, James Tin Yau Conference paper
Efficient learning with a family of nonconvex regularizers by redistributing nonconvexity
Proceedings of Machine Learning Research, v. 48, 2016, p. 2645-2654
Yao, Quanming; Kwok, Tin Yau Conference paper
Fast Nonsmooth Regularized Risk Minimization with Continuation
Proceedings of the AAAI Conference on Artificial Intelligence, v. 30, (1), 2016, article number 10284, p. 2393-2399
Zheng, Shuai; Zhang, Ruiliang; Kwok, James Tin Yau Conference paper
Fast-and-Light Stochastic ADMM
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-16), July 2016, p. 2407-2413
Zheng, Shuai; Kwok, James Tin Yau Conference paper
Greedy Learning of Generalized Low-Rank Models
IJCAI International Joint Conference on Artificial Intelligence, v. 2016, January 2016, p. 2294-2300
Yao, Quanming; Kwok, James Tin Yau Conference paper
Towards Safe Semi-supervised Learning for Multivariate Performance Measures
Proceedings of the AAAI Conference on Artificial Intelligence, v. 30, (1), 2016, article number 10282, p. 1816-1822
Li, Yufeng; Kwok, James Tin Yau; Zhou, Zhi-Hua Conference paper

2015 10

Bayes-Optimal Hierarchical Multilabel Classification
IEEE Transactions on Knowledge and Data Engineering, v. 27, (11), November 2015, article number 7118216, p. 2907-2918
Bi, Wei; Kwok, Jame Tin Yau Article
Large-Scale Nystrom Kernel Matrix Approximation Using Randomized SVD
IEEE Transactions on Neural Networks and Learning Systems, v. 26, (1), January 2015, article number 6918503, p. 152-164
Li, Mu; Bi, Wei; Kwok, James Tin-Yau; Lu, Bao-Liang Article
Scalable Nonparametric Low-Rank Kernel Learning Using Block Coordinate Descent
IEEE Transactions on Neural Networks and Learning Systems, v. 26, (9), September 2015, article number 6928428, p. 1927-1938
Hu, En Liang; Kwok, James T. Article
Scaling Up Graph-Based Semisupervised Learning via Prototype Vector Machines
IEEE Transactions on Neural Networks and Learning Systems, v. 26, (3), March 2015, article number 6803073, p. 444-457
Zhang, Kai; Lan, Liang; Kwok, James Tin-Yau; Vucetic, Slobodan; Parvin, Bahram Article
Machine Learning
Springer Handbook of Computational Intelligence / Edited by Janusz Kacprzyk, Witold Pedrycz. Berlin, Heidelberg : Springer, Berlin, Heidelberg, 2015, p. 495-522
Kwok, James Tin Yau; Zhou, Zhi-Hua; Xu, Lei Book chapter
Accelerated Inexact Soft-Impute for Fast Large-Scale Matrix Completion
IJCAI International Joint Conference on Artificial Intelligence, v. 2015, 2015, p. 4002-4008
Yao, Quanming; Kwok, James Tin Yau Conference paper
Collaborative Filtering via Co-Factorization of Individuals and Groups
2015 International Joint Conference on Neural Networks (IJCNN 2015), Institute of Electrical and Electronics Engineers (IEEE), 2015
Huang, Yihai; Kwok, James Tin Yau Conference paper
Colorization by patch-based local low-rank matrix completion
Proceedings of the AAAI Conference on Artificial Intelligence, v. 29, (1), 2015, article number 9479, p. 1959-1965
Yao, Quanming; Kwok, James Tin Yau Conference paper
Fast Low-Rank Matrix Learning with Nonconvex Regularization
Proceedings: 15th IEEE International Conference on Data Mining (ICDM 2015), Editors: Charu Aggarwal, Zhi-Hua Zhou, Alexander Tuzhilin, Hui Xiong, and Xindong Wu. The Institute of Electrical and Electronics Engineers, Inc., 2015, p. 539-548
Yao, Quanming; Kwok, James Tin Yau; Zhong, Leon Wenliang Conference paper
Fast Second-order Stochastic Backpropagation for Variational Inference
Advances in Neural Information Processing Systems, v. 28, 2015, p. 1387-1395
Fan, Kai; Wang, Ziteng; Beck, Jeffrey; Kwok, James; Heller, Katherine Conference paper

2014 10

Mandatory Leaf Node Prediction in Hierarchical Multilabel Classification
IEEE Transactions on Neural Networks and Learning Systems, v. 25, (12), December 2014, article number 6810887, p. 2275-2287
Bi, Wei; Kwok, Tin Yau,James Article
Selected Papers From the 2011 International Conference on Neural Information Processing (ICONIP 2011)
Neurocomputing, v. 129, April 2014, p. 1-2
Kwok, James Tin Yau; Zhang, Liqing; Lu, Hongtao Article
Simple randomized algorithms for online learning with kernels
Neural Networks, v. 60, 2014, p. 17-24
He, Wenwu; Kwok, James Tin Yau Article
Accelerated stochastic gradient method for composite regularization
Proceedings of Machine Learning Research, v. 33, 2014, p. 1086-1094
Zhong, Leon Wenliang; Kwok, James Tin Yau Conference paper
Accurate Integration of Aerosol Predictions by Smoothing on a Manifold
Proceedings of the AAAI Conference on Artificial Intelligence, v. 28, (1), 2014, article number 8900, p. 1376-1382
Zheng, Shuai; Kwok, James Tin Yau Conference paper
Asynchronous Distributed ADMM for Consensus Optimization
31st International Conference on Machine Learning, Beijing, China, v. 5, 2014, p. 3689-3697
Zhang, Ruiliang; Kwok, James Tin Yau Conference paper
Fast stochastic alternating direction method of multipliers
31st International Conference on Machine Learning, Beijing, China, v. 1, 2014, p. 78-86
Zhong, Leon Wenliang; Kwok, James Tin Yau Conference paper
Gradient Descent with Proximal Average for Nonconvex and Composite Regularization
Proceedings of the AAAI Conference on Artificial Intelligence, v. 28, (1), 2014, p. 2206-2212
Zhong, Leon Wenliang; Kwok, James Tin Yau Conference paper
Learning to Predict from Crowd Sourced Data
Uncertainty in Artificial Intelligence - Proceedings of the 30th Conference, 2014, p. 82-91
Bi, Wei; Wang, Liwei; Kwok, James Tin-Yau; Tu, Zhuowen Conference paper
Multilabel Classification With Label Correlations and Missing Labels
Proceedings of the AAAI Conference on Artificial Intelligence, v. 28, (1), 2014, article number 8996, p. 1680-1686
Bi, Wei; Kwok, James Tin Yau Conference paper

2013 8

Convex and Scalable Weakly Labeled SVMs
Journal of Machine Learning Research, v. 14, June 2013, p. 2151-2188
Li, Yu-Feng; Tsang, Ivor W.; Kwok, James Tin Yau; Zhou, Zhi-Hua Article
Accurate Probability Calibration for Multiple Classifiers
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. 1939-1945
Zhong, Wenliang; Kwok, James Tin Yau Conference paper
Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels
30th International Conference on Machine Learning, ICML 2013, (PART 2), 2013, p. 1425-1432
Zhang, Kai; Zheng, Vincentwenchen; Wang, Qiaojun; Kwok, James Tin Yau; Yang, Qiang; Mar?i?, Ivan Conference paper
Efficient Kernel Learning from Side Information Using ADMM
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. 1408-1414
Hu, En-Liang; Kwok, James Tin Yau Conference paper
Efficient Learning for Models with DAG-Structured Parameter Constraints
2013 IEEE 13th International Conference on Data Mining (ICDM 2013), Institute of Electrical and Electronics Engineers (IEEE), 2013
Zhong, Wenliang; Kwok, James Tin Yau Conference paper
Efficient Multi-label Classification with Many Labels
30th International Conference on Machine Learning, ICML 2013, (PART 2), 2013, p. 1442-1450
Bi, Wei; Kwok, James Tin Yau Conference paper
Flexible Nonparametric Kernel Learning with Different Loss Functions
Neural Information Processing: 20th International Conference, ICONIP 2013: Proceedings, Part II, Editors: Minho Lee, Akira Hirose, Zeng-Guang Hou, Rhee Man Kil. Berlin; Heidelberg : Springer-Verlag, 2013, p. 116-123, Part of the Lecture Notes in Computer Science book series (LNCS, volume 8227)
Hu, En-Liang; Kwok, James Tin Yau Conference paper
Learning from High-Dimensional Data in Multitask/Multilabel Classification
2013 2nd IAPR Asian Conference on Pattern Recognition (ACPR 2013), Institute of Electrical and Electronics Engineers (IEEE), 2013, p. 16-17
Kwok, James Tin Yau Conference paper

2012 6

A brief introduction to the special issue for ISNN2010
Neurocomputing, v. 76, January 2012, p. 1
Zhang, Liqing; Kwok, James; Zhang, Changshui Article
Bilinear Probabilistic Principal Component Analysis
IEEE transaction on neural networks and learning systems, v. 23, (3), March 2012, p. 492-503
Zhao, Jianhua; Yu, Philip L.H.; Kwok, James Tin-Yau Article
Efficient Sparse Modeling With Automatic Feature Grouping
IEEE transactions on neural networks and learning systems, v. 23, (9), 2012, Sept, p. 1436-1447
Zhong, Leon Wenliang; Kwok, James Tin Yau Article
Convex multitask learning with flexible task clusters
Proceedings of the 29th International Conference on Machine Learning, ICML 2012, v. 1, 2012, p. 49-56
Zhong, Wenliang; Kwok, James Tin Yau Conference paper
Hierarchical Multilabel Classification with Minimum Bayes Risk
IEEE International Conference on Data Mining, Brussels, Belgium, 2012, p. 101-110
Bi, Wei; Kwok, James Tin-Yau Conference paper
Mandatory leaf node prediction in hierarchical multilabel classification
Advances in Neural Information Processing Systems, (The 26th Annual Conference on Neural Information Processing Systems 2012, NIPS 2012), v. 1, 2012, p. 153-161
Bi, Wei; Kwok, James Tin-Yau Conference paper

2011 8

A Hybrid PSO-BFGS Strategy for Global Optimization of Multimodal Functions
IEEE transactions on systems, man and cybernetics. Part B. Cybernetics, v. 41, (4), August 2011, Article number 5704208, p. 1003-1014
Li, Shutao; Tan, Mingkui; Tsang, Ivor W.; Kwok, James Tin-Yau Article
Domain Adaptation via Transfer Component Analysis
IEEE transactions on neural networks, v. 22, (2), February 2011, Article number 5640675, p. 199-210
Pan, Sinnojialin; Tsang, Ivor; Kwok, James Tin Yau; Yang, Qiang Article
Incorporating cellular sorting structure for better prediction of protein subcellular locations
Journal of experimental and theoretical artificial intelligence, v. 23, 2011, p. 79-95
Yang, Wen-Yun; Lu, Bao-Liang; Kwok, James Tin-Yau Article
Neural Information Processing - 18th International Conference, Proceedings
Lecture Notes in Computer Science / v. 7062, Nov, 2011
Lu, Bao Liang; Zhang, Liqing; Kwok, James Book
Efficient sparse modeling with automatic feature grouping
Proceedings of the 28th International Conference on Machine Learning, ICML 2011, 2011, p. 9-16
Zhong, Wenliang; Kwok, James Tin Yau Conference paper
Multi-label classification on tree- and DAG-structured hierarchies
Proceedings of the 28th International Conference on Machine Learning, ICML 2011, 2011, p. 17-24
Bi, Wei; Kwok, James Tin-Yau Conference paper
Structured clustering with automatic kernel adaptation
Proceedings of the International Joint Conference on Neural Networks, 2011, Article number 6033377, p. 1322-1327
Pan, Weike; Kwok, James Tin-Yau Conference paper
Time and Space Efficient Spectral Clustering via Column Sampling
IEEE Conference on Computer Vision & Pattern Recognition (CVPR), Colorado Springs, CO, June 2011, p. 2297-2304
Li, Mu; Lian, Xiao-Chen; Kwok, James Tin-Yau; Lu, Bao-Liang Conference paper

2010 13

Clustered Nystr?m method for large scale manifold learning and dimension reduction
IEEE Transactions on Neural Networks, v. 21, (10), 2010, Oct, p. 1576-1587
Zhang, Kai; Kwok, James Tin-Yau Article
Fast and accurate kernel density approximation using a divide-and-conquer approach
Journal OF Zhejiang university-science c-computers & ELECTRONICS, v. 11, (9), 2010, SEP, p. 677-689
Jin, Yan-xia; Zhang, Kai; Kwok, James Tin-Yau; Zhou, Han-chang Article
Incorporating the loss function into discriminative clustering of structured outputs
IEEE Transactions on Neural Networks, v. 21, (10), 2010, p. 1564-1575
Zhong, Wenliang; Pan, Weike; Kwok, James Tin; Tsang, Ivor W. Article
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 6064 LNCS, (2), 2010
Zhang, Liqing; Kwok, James Tin Yau; Lü, Baoliang Article
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface
Lecture Notes in Computer Science: including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, v. 6063, (1), 2010
Zhang, Liqing; Kwok, James; Lü, Baoliang Article
Simplifying Mixture Models Through Function Approximation
IEEE transactions on neural networks, v. 21, (4), 2010, APR, p. 644-658
Zhang, Kai; Kwok, James Tin-Yau Article
Text detection in images using sparse representation with discriminative dictionaries
Image and vision computing, v. 28, (12), 2010, DEC, p. 1590-1599
Zhao, Ming; Li, Shutao; Kwok, James Article
Advances in Neural Networks--ISNN 2010: 7th International Symposium on Neural Networks, ISNN, Shanghai, China, June 6-9, 2010: proceedings
Advances in Neural Networks--ISNN 2010: 7th International Symposium on Neural Networks, ISNN, Shanghai, China, June 6-9, 2010: proceedings / Edited by Liqing Zhang, Bao-Liang Lu, James Kwok. Berlin: Springer, 2010
Zhang, Liqing; Lu, Bao-Liang; Kwok, James Book
Cost-sensitive semi-supervised support vector machine
Proceedings of the AAAI Conference on Artificial Intelligence, v. 24, (1), 2010, article number 7661, p. 500-505
Li, Yufeng; Kwok, James Tin-Yau; Zhou, Zhi-Hua Conference paper
Making large-scale Nystr?m approximation possible
Proceedings of the 27th International Conference on Machine Learning, ICML 2010, 2010, p. 631-638
Li, Mu; Kwok, James Tin-Yau; Lü, Baoliang Conference paper
Manifold Regularization for Structured Outputs via the Joint Kernel
IEEE International Conference on Neural Networks (ICNN), 2010
Hu, Chonghai; Kwok, James Tin-Yau Conference paper
Online Multiple Instance Learning with No Regret
IEEE Conference on Computer Vision & Pattern Recognition (CVPR), 2010, p. 1395-1401
Li, Mu; Kwok, James Tin-Yau; Lu, Bao-Liang Conference paper
Spectral and semidefinite relaxations of the CLUHSIC algorithm
Proceedings of the 10th SIAM International Conference on Data Mining, SDM 2010, 2010, p. 106-117
Yang, Wen-Yun; Kwok, James Tin-Yau; Lu, Bao-Liang Conference paper

2009 15

Building Sparse Multiple-Kernel SVM Classifiers
IEEE transactions on neural networks, v. 20, (5), 2009, MAY, p. 827-839
Hu, Mingqing; Chen, Yidiang; Kwok, James Tin-Yau Article
Density-Weighted Nystrom Method for Computing Large Kernel Eigensystems
Neural computation, v. 21, (1), 2009, JAN, p. 121-146
Zhang, Kai; Kwok, James Tin-Yau Article
Maximum Margin Clustering Made Practical
IEEE transactions on neural networks, v. 20, (4), 2009, APR, p. 583-596
Zhang, Kai; Tsang, Ivor W.; Kwok, James Tin-Yau Article
Maximum Penalized Likelihood Kernel Regression for Fast Adaptation
IEEE Transactions on Audio, Speech and Language Processing, v. 17, (7), September 2009, article number 5165120, p. 1372-1381
Mak, Brian Kan-Wing; Lai, Tsz-Chung; Tsang, Ivor W.; Kwok, James Tin-Yau Article
用于图分类的组合维核方法
计算机学报=Chinese Journal of Computers, v. 32, (5), 2009, p. 946-952
李宇峰; 郭天佑; 周志華 Article
A convex method for locating regions of interest with multi-instance learning
European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2009; Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ; Bled; Slovenia, 7 September 2009 through 11 September 2009; Code 77688, Volume 5782 LNAI, Issue PART 2, 2009, Pages 15-30
Li, Yu-Feng; Kwok, James Tin-Yau; Tsang, Ivor; Zhou, Zhi-Hua Conference paper
Accelerated gradient method for multi-task sparse learning problem
Proceedings - IEEE International Conference on Data Mining, ICDM, 2009, p. 746-751
Chen, Xi; Pan, Weike; Kwok, James; Carbonell, Jaime G. Conference paper
Accelerated gradient methods for stochastic optimization and online learning
Proceedings of the 23rd Annual Conference on Neural Information Processing Systems, Vancouver, B. C., Canada, 7-9 December 2009,
Hu, Chonghai; Kwok, James Tin-Yau; Pan, Weike Conference paper
Domain Adaptation via Transfer Component Analysis
21st International Joint Conference on Artificial Intelligence, IJCAI-09; Pasadena, CA; United States, 11 July 2009 through 17 July 2009; Code 83585, Pages 1187-1192
Pan, Sinnojialin; Tsang, Ivor W.; Kwok, James Tin Yau; Yang, Qiang Conference paper
Maximum margin clustering with multivariate loss function
Proceedings - 9th IEEE International Conference on Data Mining, ICDM 2009; Miami, FL; United States, 2009, Article number 5360290, Pages 637-646
Zhao, Bin; Kwok, James; Zhang, Changshui Conference paper
Multiple kernel clustering
Society for Industrial and Applied Mathematics - 9th SIAM International Conference on Data Mining 2009, Proceedings in Applied Mathematics, SDM 2009; Sparks, NV; United States, 30 April 2009 through 2 May 2009; Code 78702, Volume 2, 2009, Pages 634-645
Zhao, Bin; Kwok, James Tin-Yau; Zhang, Changshui Conference paper
Prototype vector machine for large scale semi-supervised learning
ACM International Conference Proceeding Series, v. 382, 2009, article number 155, p. 1233-1240
Zhang, Kai; Kwok, James Tin-Yau; Parvin, Bahram Conference paper
Semi-Supervised learning using label mean
ACM International Conference Proceeding Series, v. 382, 2009, article number 79, p. 633-640
Li, Yufeng; Kwok, James Tin-Yau; Zhou, Zhi-Hua Conference paper
Tighter and convex maximum margin clustering
Proceedings of Machine Learning Research, v. 5, 2009, p. 344-351
Li, Yu-feng; Tsang, Ivor; Kwok, James Tin-Yau; Zhou, Zhi-hua Conference paper
Unsupervised maximum margin feature selection with manifold regularization
2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009, 2009, p. 888-895
Zhao, Bin; Kwok, James Tin-Yau; Wang, Fei; Zhang, Changshui Conference paper

2008 6

Large-scale maximum margin discriminant analysis using core vector machines
IEEE transactions on neural networks, v. 19, (4), 2008, APR, p. 610-624
Tsang, Ivor Wai-Hung; Kocsor, Andras; Kwok, James Tin-Yau Article
Matrix-Variate Factor Analysis and Its Applications
IEEE transactions on neural networks, v. 19, (10), 2008, OCT, p. 1821-1826
Xie, Xianchao; Yan, Shuicheng; Kwok, James Tin-Yau; Huang, Thomas S. 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
Improved Nystr?m low-rank approximation and error analysis
Proceedings of the 25th International Conference on Machine Learning, ICML'08, 2008, p. 1232-1239
Zhang, Kai; Tsang, Ivor; Kwok, James Tin-Yau Conference paper
Transfer learning via dimensionality reduction
Proceedings of the National Conference on Artificial Intelligence, v. 2, 2008, p. 677-682
Pan, Sinnojialin; Kwok, James Tin Yau; Yang, Qiang Conference paper
Transferring localization models across space
23rd AAAI Conference on Artificial Intelligence and the 20th Innovative Applications of Artificial Intelligence Conference, AAAI-08/IAAI-08; Chicago, IL; United States, v. 3, 13 July 2008 through 17 July 2008; Code 74777, Pages 1383-1388
Pan, Sinnojialin; Shen, Dou; Yang, Qiang; Kwok, James Tin Yau Conference paper

2007 12

A class of single-class minimax probability machines for novelty detection
IEEE transactions on neural networks, v. 18, (3), 2007, MAY, p. 778-785
Kwok, James Tin-Yau; Tsang, Ivor Wai-Hung; Zurada, Jacek M. Article
End-to-end privacy control in service outsourcing of human intensive processes: A multi-layered Web service integration approach
Information Systems Frontiers, v. 9, (1), 2007, MAR, p. 85-101
Hung, Patrick C.K.; Chiu, Dickson K.W.; Fung, W.W.; Cheung, William Kwok Wai; Wong, Raymond; Choi, Samuel P.M.; Kafeza, Eleanna; Kwok, James Tin-Yau; Pun, Joshua C.C.; Cheng, Vivying Article
Face recognition using spectral features
Pattern recognition, v. 40, (10), 2007, OCT, p. 2786-2797
Wang, Fei; Wang, Jingdong; Zhang, Changshui; Kwok, James 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
SVDD-based pattern denoising
Neural computation, v. 19, (7), 2007, JUL, p. 1919-1938
Park, Jooyoung; Kang, Daesung; Kim, Jongho; Kwok, James Tin-Yau; Tsang, Ivor W. Article
Adaptive localization in a dynamic WiFi environment through multi-view learning
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence and the Nineteenth Innovative Applications of Artificial Intelligence Conference, v. 2 / edited by Hunter A. Palo Alto, California : AAAI Press, 2007, p. 1108-1113
Pan, Jialin Sinno; Kwok, James Tin Yau; Yang, Qiang; Pan, Junfeng Jeffrey Conference paper
Ensembles of Partially Trained SVMs with Multiplicative Updates
20th International Joint Conference on Artificial Intelligence, IJCAI 2007; Hyderabad; India, 6 January 2007 through 12 January 2007; Code 97873, Pages 1089-1094
Tsang, Ivor W.; Kwok, James Tin-Yau Conference paper
Large-scale sparsified manifold regularization
20th Annual Conference on Neural Information Processing Systems, NIPS 2006; Advances in Neural Information Processing Systems; Vancouver, BC; Canada, Dec 4-7, 2006, Code 91224, Pages 1401-1408
Tsang, Ivor; Kwok, James Conference paper
Marginalized Multi-Instance Kernels
20th International Joint Conference on Artificial Intelligence, IJCAI 2007; Hyderabad; India, 2007, Code 97873, Pages 901-906
Kwok, James Tin-Yau; Cheung, Pak-Ming Conference paper
Maximum margin clustering made practical
ACM International Conference Proceeding Series, v. 227, 2007, p. 1119-1126
Zhang, Kai; Tsang, Ivor; Kwok, James Tin-Yau Conference paper
Simpler core vector machines with enclosing balls
ACM International Conference Proceeding Series, v. 227, 2007, p. 911-918
Tsang, Ivor; Kocsor, András; Kwok, James Tin-Yau 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

2006 21

A novel incremental principal component analysis and its application for face recognition
IEEE Transactions on Systems, Man and Cybernetics, PART B (Cybernetics), v.36, (4), 2006, AUG, p.873-886
Zhao, Haitao; Yuen, Pong Chi; Kwok, James Tin-Yau Article
Accelerated convergence using dynamic mean shift
Lecture Notes in Computer Science, v. 3952, (Part 2), 2006, p. 257-268
Zhang, Kai; Kwok, James Tin-Yau; Tang, Ming Article
Diversified SVM ensembles for large data sets
Lecture Notes in Computer Science, v. 4212, 2006, p. 792-800
Tsang, Ivor; Kocsor, Andras; Kwok, James Tin-Yau Article
Efficient hyperkernel learning using second-order cone programming
IEEE transactions on neural networks, v. 17, (1), 2006, JAN, p. 48-58
Tsang, Ivor; Kwok, James Tin-Yau Article
Embedded kernel eigenvoice speaker adaptation and its implication to reference speaker weighting
IEEE Transactions on Audio, Speech, and Language Processing, v. 14, (4), July 2006
Mak, Brian Kan Wing; Hsiao, Roger; Ho, Simon; Kwok, James Tin-Yau Article
Facial image reconstruction by SVDD-based pattern de-noising
Lecture Notes in Computer Science, v. 3832, 2006, p. 129-135
Park, Jooyoung; Kang, Daesung; Kwok, James Tin-Yau; Lee, Sangwoong; Hwang, Bonwoo; Lee, Seongwhan Article
Gene feature extraction using T-test statistics and kernel partial least squares
Lecture Notes in Computer Science, v. 4234, 2006, p. 11-20
Li, Shutao; Liao, Chen; Kwok, James Tin-Yau Article
Generalized core vector machines
IEEE transactions on neural networks, v. 17, (5), 2006, SEP, p. 1126-1140
Tsang, Ivor Wai-Hung; Kwok, James Tin-Yau; Zurada, Jacek M. 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
Multidimensional vector regression for accurate and low-cost location estimation in pervasive computing
IEEE transactions on knowledge and data engineering, v. 18, (9), September 2006, Article number 1661510, Pages 1181-1193
Pan, JeffreyJunfeng; Kwok, James Tin Yau; Yang, Qiang; Chen, Yiqiang 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 regularization framework for multiple-instance learning
ACM International Conference Proceeding Series, v. 148, 2006, p. 193-200
Cheung, Pak Ming; Kwok, James Tin-Yau Conference paper
Block-quantized kernel matrix for fast spectral embedding
ACM International Conference Proceeding Series, v. 148, 2006, p. 1097-1104
Zhang, Kai; Kwok, James Tin-Yau Conference paper
Efficient classification of multi-label and imbalanced data using min-max modular classifiers
IEEE International Conference on Neural Networks - Conference Proceedings, 2006, p. 1770-1775
Chen, Ken; Lü, Baoliang; Kwok, James Tin-Yau Conference paper
Efficient kernel feature extraction for massive data sets
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, v. 2006, 2006, p. 724-729
Tsang, Ivor; Kocsor, András; Kwok, James Tin-Yau Conference paper
Fast speaker adaption via maximum penalized likelihood kernel regression
2006 IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, ICASSP 2006; Toulouse; France, Volume 1, 2006, Article number 1660191, Pages I997-I1000
Tsang, Ivor W.; Kwok, James Tin-Yau; Mak, Brian; Zhang, Kai; Pan, Jeffrey Junfeng Conference paper
Learning the kernel in mahalanobis one-class support vector machines
IEEE International Conference on Neural Networks - Conference Proceedings, 2006, p. 1169-1175
Tsang, Ivor; Kwok, James Tin-Yau; Li, Shutao Conference paper
Locally adaptive classification piloted by uncertainty
ACM International Conference Proceeding Series, v. 148, 2006, p. 225-232
Juan, Dai; Yan, Shuicheng; Tang, Xiaoou; Kwok, Tin Yau Conference paper
Multimodal registration using the discrete wavelet frame transform
Proceedings - International Conference on Pattern Recognition, v. 3, 2006, p. 877-880
Li, Shutao; Peng, Jinglin; Kwok, James Tin-Yau; Zhang, Jing Conference paper
Simplifying mixture models through function approximation
20th Annual Conference on Neural Information Processing Systems, NIPS 2006; Advances in Neural Information Processing Systems; Vancouver, BC; Canada, Dec 4-7, 2006, Code 91224, Pages 1577-1584
Zhang, Kai; Kwok, James Conference paper
Wavelet-based feature extraction for microarray data classification
IEEE International Conference on Neural Networks - Conference Proceedings, 2006, p. 5028-5033
Li, Shutao; Liao, Chen; Kwok, James Tin-Yau Conference paper

2005 12

Core vector machines: Fast SVM training on very large data sets
Journal of Machine Learning Research, v. 6, April 2005, p. 363-392
Tsang, Ivor; Kwok, James Tin-Yau; Cheung, Pak Ming Article
Kernel eigenvoice speaker adaptation
IEEE Transactions on Speech and Audio Processing, v. 13, (5), September 2005, p. 984-992
Mak, Brian Kan Wing; Kwok, James Tin-Yau; Ho, Simon Article
Accurate and Low-cost Location Estimation Using Kernels
2005, 30 July 2005 through 5 August 2005; Code 97872 p. 1366-1371
Pan, Jeffery Junfeng; Kwok, James Tin-Yau; Yang, Qiang; Chen, Yiqiang Conference paper
Applying neighborhood consistency for fast clustering and kernel density estimation
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, v. 2, 2005, p. 1001-1007
Zhang, Kai; Tang, Ming; Kwok, James Tin-Yau Conference paper
Core vector regression for very large regression problems
Proceedings of the 22nd international conference on Machine learning, ICML'05, 2005, p. 913-920
Tsang, Ivor; Kwok, James Tin Yau; Lai, T. Kimo Conference paper
Data-dependent kernels for high-dimensional data classification
Proceedings of the International Joint Conference on Neural Networks, v. 1, 2005, p. 102-107
Wang, Jingdong; Kwok, James Tin-Yau; Shen, Helen; Quan, Long Conference paper
Kernel relevant component analysis for distance metric learning
Proceedings of the International Joint Conference on Neural Networks, v. 2, 2005, p. 954-959
Tsang, Ivor; Cheung, PakMing; Kwok, James Tin-Yau Conference paper
Page segmentation using mathematical morphology
Proceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005, v. 2005, 2005, p. 89-92
Qinghua, Shen; Shutao, Li; Kwok, James Tin-Yau Conference paper
Pattern de-noising based on support ector data description
Proceedings of the International Joint Conference on Neural Networks, v. 2, 2005, p. 949-953
Park, Jooyoung; Kang, Daesung; Kim, Jongho; Kwok, James Tin-Yau; Tsang, Ivor Conference paper
Position estimation tor wireless sensor networks
GLOBECOM - IEEE Global Telecommunications Conference, v. 5, 2005, p. 2772-2776
Wong, K. F. Simon; Tsang, Ivor; Cheung, Victor; Chan, Gary Shueng Han; Kwok, James Tin-Yau Conference paper
Towards end-to-end privacy control in the outsourcing of marketing activities: A web service integration solution
ACM International Conference Proceeding Series, v. 113, 2005, p. 454-461
Hung, Patrick C.K.; Chiu, Dickson K.W.; Fung, W.W.; Cheung, William K.; Wong, Raymond; Choi, Samuel P.M.; Kafeza, Eleanna; Kwok, James Tin-Yau; Pun, Chun Chung Joshua; Cheng, Vivying Conference paper
Very large SVM training using core vector machines
Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics. Barbados, January 2005, Code 90668, Pages 349-356
Tsang, Ivor; Kwok, James; Cheung, Pak-Ming Conference paper

2004 15

Dissimilarity learning for nominal data
Pattern recognition, v. 37, (7), 2004, JUL, p. 1471-1477
Cheng, Victor; Li, Chunhung; Kwok, James Tin-Yau; Li, Chikwong Article
Efficient hyperkernel learning using second-order cone programming
Lecture Notes in Computer Science, v. 3201, 2004, p. 453-464
Tsang, Ivor; Kwok, James Tin-Yau Article
Fusing images with different focuses using support vector machines
IEEE transactions on neural networks, v. 15, (6), 2004, NOV, p. 1555-1561
Li, Shutao; Kwok, James Tin-Yau; Tsang, Ivor; Wang, Yaonan Article
Signal de-noising by improving soft thresholding on the dyadic wavelet transform
自动化学报=Acta Automatica Sinica, v. 2004, (02), 2004, p. 199-206
祝海龍; 郭天佑; 屈梁生 Article
The pre-image problem in kernel methods
IEEE transactions on neural networks, v. 15, (6), 2004, NOV, p. 1517-1525
Kwok, James Tin-Yau; Tsang, Ivor 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
Eigenvoice speaker adaptation via composite kernel PCA
Advances in neural information processing systems, v. 16, 2004, p. 1401-1408
Kwok, James Tin-Yau; Mak, Brian Kan Wing; Ho, Simon Ka-Lung Conference paper
Incremental PCA based face recognition
2004 8th International Conference on Control, Automation, Robotics and Vision (ICARCV), v. 1, 2004, p. 687-691
Zhao, Haitao; Yuen, Pong Chi; Kwok, James Tin-Yau; Yang, Jingyu Conference paper
Scaling up support vector data description by using core-sets
IEEE International Conference on Neural Networks - Conference Proceedings, v. 1, 2004, p. 425-430
Chu, Calvin S.; Tsang, Ivor; Kwok, James Tin-Yau Conference paper
Speedup of Kernel Eigenvoice Speaker Adaptation by Embedded Kernel PCA
Proceedings of the International Conference on Spoken Language Processing, , Jeju Island, South Korea, volume IV, pages 2913-2916,
Mak, Brian; Ho, Simon; Kwok, James Conference paper
Study of various composite kernels for kernel eigenvoice speaker adaptation
2004 IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Montreal, Que; Canada, 2004, 17 May 2004 through 21 May 2004; Code 63500, p. 325-328
Mak, Brian Kan Wing; Kwok, James Tin-Yau; Ho, Simon Ka-Lung 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
Text extraction using edge detection and morphological dilation
2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004, 2004, p. 330-333
Li, Shutao; Kwok, James Tin-Yau Conference paper
Using kernel PCA to improve eigenvoice speaker adaptation
Proceedings of 2004 International Conference on Machine Learning and Cybernetics, v. 5 / IEEE. Piscataway, NJ : IEEE, 2004, p. 3062-3067
Mak, Brian Kan Wing; Kwok, James Tin-Yau; Ho, Simon Ka-Lung Conference paper

2003 7

Linear dependency between ε and the input noise in ε-support vector regression
IEEE Transactions on Neural Networks, Volume 14, Issue 3, May 2003, Pages 544-553
Kwok, James Tin-Yau; Tsang, Ivor Article
Mining customer product rating for personalized marketing
Decision Support Systems, v. 35, (2), 2003, MAY, p. 231-243
Cheung, Kwok Wai; Kwok, James Tin-Yau; Law, Martin; Tsui, Kwokching Article
Texture classification using the support vector machines
Pattern recognition, v. 36, (12), 2003, DEC, p. 2883-2893
Li, Shutao; Kwok, James; Zhu, Hailong; Wang, Yaonan Article
Distance metric learning with kernels
International conference on artificial neural networks
Tsang, Ivor W.; Kwok, James T. Conference paper
Incremental eigen decomposition
International Conference on Artificial Neural Networks
Kwok, James T.; Zhao, Haitao Conference paper
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
The pre-image problem in kernel methods
Proceedings of Twentieth International Conference on Machine Learning, ICML 2003, v. 1, 2003, p. 408-415
Kwok, Tin Yau; Tsang, Ivor Conference paper

2002 6

Fusing images with multiple focuses using support vector machines
Lecture Notes in Computer Science, v. 2415, 2002, p. 1287-1292
Li, Shutao; Kwok, James Tin-Yau; Wang, Yaonan Article
Multifocus image fusion using artificial neural networks
Pattern recognition letters, v. 23, (8), 2002, JUN, p. 985-997
Li, Shutao; Kwok, James Tin-Yau; Wang, Yaonan Article
Using the discrete wavelet frame transform to merge Landsat TM and SPOT panchromatic images
Information Fusion, v. 3, (1), 2002, p. 17-23
Li, Shutao; Kwok, James; Wang, Yaonan Article
Finding the pre-images in kernel principal component analysis
6th Annual Workshop on Kernel Machines, Vancouver, Canada, December 2002
Kwok, James Tin-Yau; Tsang, I.W. Conference paper
Fusing images with multiple focuses using support vector machines
Proceedings of the International Conference on Artificial Neural Networks, Madrid, Spain, August 2002, p. 405–410
Li, S.; Kwok, James Tin-Yau; Wang, Y. Conference paper
Improving de-noising by coefficient de-noising and dyadic wavelet transform
Proceedings - International Conference on Pattern Recognition, v. 16, (2), 2002, p. 273-276
Zhu, Hailong; Kwok, James Tin-Yau; Qu, Liangsheng Conference paper

2001 4

Combination of images with diverse focuses using the spatial frequency
Information Fusion, v. 2, (3), September 2001, p. 169-176
Li, Shutao; Kwok, James Tin-Yau; Wang, Yaonan Article
Linear dependency between epsilon and the input noise in epsilon-support vector regression
Lecture Notes in Computer Science, v. 2130, 2001, p. 405-410
Kwok, JT Article
Applying the Bayesian evidence framework to nu-support vector regression
Proceedings of the Twelfth European Conference on Machine Learning Freiburg, Germany, 312-323
Law, Martin H.; Kwok, James T. Conference paper
Bayesian support vector regression
Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, Key West, Florida, USA, January 2001, p. 239–244
Law, M.H.; Kwok, James Tin-Yau Conference paper

2000 4

The evidence framework applied to support vector machines
IEEE Transactions on Neural Networks, v. 11, (5), September 2000, p. 1162-1173
Kwok, James Tin-Yau Article
An extended genetic rule induction algorithm
Proceedings of the Congress on Evolutionary Computation (CEC), La Jolla, California, USA, July 2000, 16 July 2000 through 19 July 2000, p. 458–463
Liu, Julietjuan; Kwok, James Tin-Yau Conference paper
Mining customer preference ratings for product recommendation using the support vector machine and the latent class model
Second International Conference on Data Mining, Data Minig II, Management Information Systems, Cambridge; United Kingdom, 5 July 2000 through 7 July 2000, Code 63530, p. 601–610
Cheung, Kwok Wai; Kwok, James Tin-Yau; Law, Martin; Tsui, Kwokching Conference paper
Rival penalized competitive learning for model-based sequence clustering
In Proceedings of the International Conference on Pattern Recognition, Barcelona, Spain, v. 2, September 2000, p. 195-198
Law, Martin; Kwok, James Tin-Yau Conference paper

1999 3

Moderating the outputs of support vector machine classifiers
IEEE Transactions on Neural Networks, v. 10, 1999, p. 1018–1031
Kwok, James Tin-Yau Article
Integrating the evidence framework and the support vector machine
Proceedings of the European Symposium on Artificial Neural Networks, Bruges, Belgium, April 1999, p. 177–182
Kwok, James Tin-Yau Conference paper
Moderating the outputs of support vector machine classifiers
Proceedings of the International Joint Conference on Neural Networks, Washington, D.C., July 1999, p. 943–948
Kwok, James Tin-Yau Conference paper

1998 2

Automated text categorization using support vector machine
Proceedings of the International Conference on Neural Information Processing, Kitakyushu, Japan, October 1998, p. 347–351
Kwok, James Tin-Yau Conference paper
Support vector mixture for classification and regression problems
Proceedings of the International Conference on Pattern Recognition, Brisbane, Australia, August 1998, p. 255–258
Kwok, James Tin-Yau Conference paper

1997 2

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

1996 3

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
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 2

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
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

1994 2

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

1993 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 Conference paper


No Publications






Teaching Assignment

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2021-22 Winter 0 2021-22 Fall 4 2020-21 Summer 1 2020-21 Spring 7 2020-21 Winter 0 2020-21 Fall 6

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COMP4331 Data Mining
MSBD5008 Introduction to Social Computing
RMBI2001 Academic and Professional Development in Risk Management and Business Intelligence
RMBI4980 Risk Management and Business Intelligence Capstone Project I


COMP4971A Independent Work


COMP4910 Co-op Program
COMP4971A Independent Work
COMP4981 Final Year Project
CPEG4901 Computer Engineering Final Year Project in COMP
MFIT5004 Financial Data Mining
RMBI2001 Academic and Professional Development in Risk Management and Business Intelligence
SBMT5710 Artificial Intelligence


COMP4211 Machine Learning
COMP4331 Data Mining
COMP4981 Final Year Project
CPEG4901 Computer Engineering Final Year Project in COMP
MSBD5008 Introduction to Social Computing
RMBI2001 Academic and Professional Development in Risk Management and Business Intelligence


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 CHEN, Weiyu
Computer Science and Engineering( 2021 - )

LIU, Zhili
Computer Science and Engineering( 2021 - )

SHEN, Lifeng (co-supervision)
Artificial Intelligence( 2021 - )

WEI, Yanbin
Computer Science and Engineering( 2021 - )

YANG, Hansi
Computer Science and Engineering( 2021 - )

JIANG, Weisen
Computer Science and Engineering( 2020 - )

TIAN, Haisheng
Robotics and Autonomous Systems( 2020 - )

WELLMER, Zachary William
Computer Science and Engineering( 2020 - )

YU, Runsheng
Computer Science and Engineering( 2020 - )

ZHENG, Yimin
Computer Science and Engineering( 2020 - )

YU, Jincheng
Computer Science and Engineering( 2019 - )

SHI, Han
Computer Science and Engineering( 2018 - )

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Master of Philosophy FUNG, Nai Chit
Computer Science and Engineering( 2021 - )

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Graduated RPGs

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Doctor of Philosophy HOU, Lu
Computer Science and Engineering( Completed in 2019 )

WANG, Yaqing
Computer Science and Engineering( Completed in 2019 )

ZHENG, Shuai
Computer Science and Engineering( Completed in 2019 )

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Master of Philosophy CHAN, Lawrence Ki-on
Computer Science and Engineering( Completed in 2021 )

KIM, Minsam
Computer Science and Engineering( Completed in 2020 )









ProjectsFrom January 2020 to December 2022

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All Projects 3 Leading Projects 2 Participating Projects 1

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Time Series Anomaly Detection Using Unsupervised Hierarchical Deep Networks


面向時間序列異常檢測的無監督在線深度學習方法研究 Leading


RGC - General Research Fund


Project Team (HKUST)
KWOK James Tin Yau (Lead)


2022 -




Distributed Low-Precision Learning of Neural Machine Translation Leading


Microsoft Research Asia


Project Team (HKUST)
KWOK James Tin Yau (Lead)


2019 - 2021




Development and industrialization of intelligent financial devices using multichannel human-computer interaction techniques


基于多通道人機交互技術的智能金融裝備研發及其產業化 Participating


Guangzhou Economic and Technological Development Zone


Project Team (HKUST)
KWOK James Tin Yau


2019 - 2020