Nevin Lianwen ZHANG
張連文
PhD in Computer Science
The University of British Columbia, 1993
PhD in Applied Mathematics
Beijing Normal University, 1989

Professor
Department of Computer Science and Engineering

Associate Director of HKUST-NAVER/LINE AI Lab



(852) 2358 7015
lzhang@ust.hk
Room 2541
Personal Web

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Google Scholar
18_xlPUAAAAJ

ORCID
0000-0002-4662-3217

Scopus ID
7401648059




Research Interest Publications Projects Teaching Assignment RPG Supervision Space used




Research Interest

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Bayesian networks
Artificial intelligence
Machine learning



Publications

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All Years 147 2022 0 2021 6 2020 5 2019 9 2018 4 2017 8 2016 115

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2021 6

Add-On Chinese Medicine for Coronavirus Disease 2019 (ACCORD): A Retrospective Cohort Study of Hospital Registries
American Journal of Chinese Medicine, v. 49, (3), March 2021, p. 543-575
Shu, Zixin; Chang, Kai; Zhou, Yana; Peng, Chaoan; Li, Xugui; Cai, Wei; Wei, Li; Zheng, Qiguang; Tian, Haoyu; Xia, Jianan; Yang, Kuo; Wang, Ning; Liu, Jifen; Min, Xiaojun; Yan, Dengying; Sun, Jing; Wu, Huan; Li, Xiaomeng; Zheng, Yi; Yu, Zecong; Lu, Xi; Yang, Yuxia; Jia, Ting; Ji, Jinghui; Zou, Qunzheng; Wang, Yinyan; Xiao, Minzhong; Zhang, Qing; Xiong, Yajuan; Sun, Feng; Zhu, Qiang; Jiang, Xingxing; Wang, Guodong; Tang, Sydney Chi-Wai; Zhang, Junhua; Li, Xiuyang; Zhang, Nevin Lianwen; Zhang, Boli; Tong, Xiaolin; Liu, Baoyan; Zhou, Xenzhong; Chan, Kam Wa; Li, Xiaodong Article
Applying Latent Tree Analysis to Classify Traditional Chinese Medicine Syndromes (Zheng) in Patients with Psoriasis Vulgaris
Journal of Traditional Chinese Medicine, 26 April 2021
Xu, Wenjie; Zhang, Nevin Lianwen; Li, Ping; Wang, Tiangfang; Chen, Weiwen; Liu, April H.; Mohler-kuo, Meichun Article
SYmptom-Based STratification of DiabEtes Mellitus by Renal Function Decline (SYSTEM): A Retrospective Cohort Study and Modeling Assessment
Frontiers in Medicine, v. 8, June 2021, article number 682090
Chan, Kam Wa; Chow, Tak Yee; Yu, Kam Yan; Xu, Yulong; Zhang, Nevin Lianwen; Wong, Vivian Taam; Li, Saimei; Tang, Sydney Chi Wai Article
DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling
ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference, v. 1, August 2021, p. 69-81
Xue, Lanqing; Song, Kaitao; Wu, Doucai; Tan, Xu; Zhang, Nevin Lianwen; Qin, Tao; Zhang, Wei-Qiang; Liu, Tie-Yan Conference paper
Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization
ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference, v. 1, August 2021, p. 93-102
Lee, Dongkyu; Tian, Zhiliang; Xue, Lanqing; Zhang, Nevin Lianwen Conference paper
Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks
Proceedings of the AAAI Conference on Artificial Intelligence, v. 35, (15), 2021, article number 17638, p. 13907-13915
Tian, Zhiliang; Bi, Wei; Zhang, Zihan; Lee, Dongkyu; Song, Yiping; Zhang, Nevin Lianwen Conference paper

2020 5

A deep learning–based method for the design of microstructural materials
Structural and Multidisciplinary Optimization, v. 61, (4), April 2020, p. 1417-1438
Tan, Ren Kai; Zhang, Nevin Lianwen; Ye, Wenjing Article
Evaluating traditional Chinese medicine diagnostic instruments for functional dyspepsia: systematic review on measurement properties
Integrative Medicine Research, v. 10, (3), September 2021, article number 100713
Ho, Leonard T.F.; Chung, Vincent C.H.; Wong, Charlene H.L.; Wu, Irene X.Y.; Lan, Kun Chan; Wu, Darong; Yeung, Jerry W.F.; Zhang, Nevin Lianwen; Leung, Ting Hung; Wu, Justin C.Y. Article
Learning the Structure of Auto-Encoding Recommenders
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, 2020, p. 519-529
Khawar, Farhan; Poon, Leonard; Zhang, Nevin Lianwen Conference paper
Not All Attention Is Needed: Gated Attention Network for Sequence Data
Proceedings of the AAAI Conference on Artificial Intelligence, v. 34, (4), 2020, p. 6550-6557
Xue, Lanqing; Li, Xiaopeng; Zhang, Nevin Lianwen Conference paper
Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics / Association for Computational Linguistics. Association for Computational Linguistics, 2020, p. 650-659
Tian, Zhiliang; Bi, Wei; Lee, Dongkyu; Xue, Lanqing; Song, Yiping; Liu, Xiaojiang; Zhang, Nevin Lianwen Conference paper

2019 9

基于隐结构分析建立中医证候分型规则的三种方法
世界科学技术: 中医药现代化=Modernization of Traditional Chinese Medicine and Materia Medica - World Science and Technology, v. 21, (1), 2019, p. 101-108
许玉龙; 吴秀艳; 李延龙; 王天芳; 张连文; 薛晓琳 Article
数据分析方法在证候要素研究中的应用概况
中华中医药杂志=China Journal of Traditional Chinese Medicine and Pharmacy, v. 34, (9), 2019, p. 1673-1727
李延龙; 窦智丽; 吴秀艳; 王天芳; 张连文 Article
A Novel Document Generation Process for Topic Detection Based on Hierarchical Latent Tree Models
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 11726 LNAI, September 2019, p. 265-276
Chen, Peixian; Chen, Zhourong; Zhang, Nevin Lianwen Conference paper
Cleaned similarity for better memory-based recommenders
SIGIR 2019 - Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, July 2019, p. 1193-1196
Khawar, Farhan; Zhang, Nevin Lianwen Conference paper
Conformative Filtering for Implicit Feedback Data
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 11437 LNCS, April 2019, p. 164-178
Khawar, Farhan; Zhang, Nevin Lianwen Conference paper
Fast Structure Learning for Deep Feedforward Networks via Tree Skeleton Expansion
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 11726 LNAI, 2019, p. 277-289
Chen, Zhourong; Li, Xiaopeng; Tian, Zhiliang; Zhang, Nevin Lianwen Conference paper
Learning Latent Superstructures in Variational Autoencoders for Deep Multidimensional Clustering
7th International Conference on Learning Representations, ICLR 2019, 2019
Li, Xiaopeng; Chen, Zhourong; Poon, Leonard K M; Zhang, Nevin Lianwen Conference paper
Learning to Abstract for Memory-augmented Conversational Response Generation
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics / Anna Korhonen, David Traum, Lluís Màrquez (Editors). Stroudsburg, USA : Association for Computational Linguistics, 2019, p. 3816-3825
Tian, Zhiliang; Bi, Wei; Li, Xiaopeng; Zhang, Nevin Lianwen Conference paper
Modeling Multidimensional User Preferences for Collaborative Filtering
Proceedings - International Conference on Data Engineering, v. 2019-April, April 2019, article number 8731544, p. 1618-1621
Khawar, Farhan; Zhang, Nevin Lianwen Conference paper

2018 4

UC-LTM: Unidimensional Clustering Using Iatent Tree Models for Discrete Data
International Journal of Approximate Reasoning, v. 92, January 2018, p. 392-409
Poon, Leonard K. M.; Liu, April H.; Zhang, Nevin L. Article
Building Sparse Deep Feedforward Networks using Tree Receptive Fields
IJCAI International Joint Conference on Artificial Intelligence, v. 2018-July, 2018, p. 5045-5051
Li, Xiaopeng; Chen, Zhourong; Zhang, Nevin Lianwen Conference paper
Matrix Factorization Equals Efficient Co-occurrence Representation
Twelfth ACM Conference on Recommender Systems (RecSys 2018), Vancouver, Canada, 2-7 October 2018
Khawar, Farhan; Zhang, Nevin Lianwen Conference paper
Using Taste Groups for Collaborative Filtering
Twelfth ACM Conference on Recommender Systems (RecSys 2018), Vancouver, Canada, 2-7 October 2018
Khawar, Farhan; Zhang, Nevin Lianwen Conference paper

2017 8

A Data-Driven Method for Syndrome Type Identification and Classification in Traditional Chinese Medicine
Journal of Integrative Medicine, v. 15, (2), March 2017, p. 110-123
Zhang, Nevin L.; Fu, Chen; Liu, Tengfei; Chen, Bao-xin; Poon, Kin Man; Chen, Peixian; Zhang, Yun Ling Article
Identification and classification of traditional Chinese medicine syndrome types among senior patients with vascular mild cognitive impairment using latent tree analysis
Journal of Integrative Medicine, v. 15, (3), May 2017, p. 186-200
Fu, Chen; Zhang, Nevin Lianwen; Chen, Bao-xin; Chen, Zhourong; Jin, Xiang Lan; Guo, Rong Juan; Chen, Zhi Gang; Zhang, Yun Ling Article
Latent Tree Models for Hierarchical Topic Detection
Artificial Intelligence, v. 250, September 2017, p. 105-124
Chen, Peixian; Zhang, Nevin L; Liu, Tengfei; Poon, Leonard K.M.; Chen, Zhourong; Khawar, Farhan Article
Spectral methods for learning discrete latent tree models
Statistics and Its Interface, v. 10, (4), 2017, p. 677-698
Wang, Xiaofei; Guo, Jianhua; Hao, Lizhu; Zhang, Nevin L. Article
Latent Tree Analysis
Proceedings of the AAAI Conference on Artificial Intelligence, v. 31, (1), 2017, article number 11144, p. 4891-4897
Zhang, Nevin Lianwen; Poon, Leonard K. M. Conference paper
Mining Textual Reviews with Hierarchical Latent Tree Analysis
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 10387 LNCS, 2017, p. 401-408
Poon, Leonard K.M.; Leung, Chun Fai; Zhang, Nevin L Conference paper
Sparse Boltzmann Machines With Structure Learning as Applied to Text Analysis
Proceedings of the AAAI Conference on Artificial Intelligence, v. 31, (1), 2017, article number 10773, p. 1805-1811
Chen, Zhourong; Zhang, Nevin Lianwen; Yeung, Dit Yan; Chen, Peixian Conference paper
Topic Browsing System for Research Papers Based on Hierarchical Latent Tree Analysis
APWeb-WAIM 2017: Web and Big Data, Editors: Lei Chen, Christian S. Jensen, Cyrus Shahabi, Xiaochun Yang, Xiang Lian. Cham : Springer International Publishing AG, 2017, p. 341-344, Part of the Lecture Notes in Computer Science book series (LNCS, volume 10367); Proceedings, Part II
Poon, Leonard K.M.; Leung, Chun Fai; Chen, Peixian; Zhang, Nevin L. Conference paper

2016 2

Identification of Chinese medicine syndromes in persistent insomnia associated with major depressive disorder: a latent tree analysis
Chinese Medicine (United Kingdom), v. 11, (1), February 2016, article number 4
Yeung, Wingfai; Chung, Ka-Fai; Zhang, Nevin Lian Wen; Zhang, Shiping; Yung, Kamping; Chen, Peixian; Ho, Yanyee Article
Progressive EM for Latent Tree Models and Hierarchical Topic Detection
Proceedings of the AAAI Conference on Artificial Intelligence, v. 30, (1), 2016, article number 10196, p. 1498-1504
Chen, Peixian; Zhang, Nevin Lianwen; Poon, Leonard K.M.; Chen, Zhourong Conference paper

2015 3

Greedy learning of latent tree models for multidimensional clustering
Machine learning, v. 98, (1-2), January 2015, p. 301-330
Liu, Tengfei; Zhang, Nevin Lianwen; Chen, Peixian; Liu, April Hua; Poon, Leonard, K.M.; Wang, Yi Article
Bayesian Adaptive Matrix Factorization with Automatic Model Selection
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, v. 07-12-June-2015, October 2015, article number 7298733, p. 1284-1292
Chen, Peixian; Wang, Naiyan; Zhang, Nevin Lianwen; Yeung, Dit Yan Conference paper
Unidimensional Clustering of Discrete Data using Latent Tree Models
Proceedings of the AAAI Conference on Artificial Intelligence, v. 29, (1), 2015, article number 9593, p. 2771-2777
Liu, Hua; Poon, Kin Man; Zhang, Nevin Lianwen Conference paper

2014 7

Discovering Symptom Co-Occurrence Patterns from 604 Cases of Depressive Patient Data Using Latent Tree Models
Journal of Alternative and Complementary Medicine, v. 20, (4), April 2014, p. 265-271
Zhao, Yan; Zhang, Nevin Lainwen; Wang, Tianfang; Wang, Qingguo Article
Latent Structure Analysis and Syndrome Differentiation for Integration of Traditional Chinese Medicine and Western Medicine (III)：Establishment of Classification Rules
World Science and Technology-Modernization of Traditional Chinese Medicine, (4), 2014, p. 723-730
Zhang, Nevin Lianwen; Fu, Chen; Liu, Tengfei; Chen, Baoxing; Liu, Hua; Zhang, Yunling Article
Latent tree models for rounding in spectral clustering
Neurocomputing, v. 144, November 2014, p. 448-462
Liu, April Hua; Poon, Leonard K.M.; Liu, Teng-Fei; Zhang, Nevin Lianwen Article
Statistical Validation of TCM Syndrome Postulates in the Context of Depressive Patients
Data Analytics for Traditional Chinese Medicine Research / Edited by Josiah Poon, Simon K. Poon. Switzerland : Springer International Publishing, 2014, p. 111-121
Zhao, Yan; Zhang, Nevin L.; Wang, Tianfang; Wang, Qingguo; Liu, Tengfei Book chapter
A study of recently discovered equalities about latent tree models using inverse edges
Probabilistic Graphical Models: 7th European Workshop, PGM 2014, Utrecht, The Netherlands, September 17-19, 2014: Proceedings, Edited by Linda C. van der Gaag, Ad J. Feelders. Switzerland : Springer International Publishing, 2014, p. 567-580
Zhang, Nevin Lianwen; Wang, Xiaofei; Chen, Peixian Conference paper
Hierarchical latent tree analysis for topic detection
Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part II, Edited by Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo. Heidelberg : Springer-Verlag, 2014, p. 256-272
Liu, Tengfei; Zhang, Nevin Lianwen; Chen, Peixian Conference paper
Solving informative partially observable Markov decision processes
Proceedings of the sixth European Conference on Planning / Edited by Amedeo Cesta and Daniel Borrajo. AAAI Press, 2014
Zhang, Weihong; Zhang, Nevin Lianwen Conference paper

2013 4

A Survey on Latent Tree Models and Applications
Journal of Artificial Intelligence Research, v. 47, 2013, p. 157-203
Mourad, Raphael; Sinoquet, Christine; Zhang, Nevin Lianwen; Liu, Tengfei; Leray, Philippe Article
LTC: A Latent Tree Approach to Classification
International journal of approximate reasoning, v. 54, (4), June 2013, p. 560-572
Wang, Yi; Zhang, Nevin Lianwen; Chen, Tao; Poon, Leonard K.M. Article
Model-based clustering of high-dimensional data: Variable selection versus facet determination
International Journal of Approximate Reasoning, v. 54, (1), January 2013, p. 196-215
Poon, Leonard Kin Man; Zhang, Nevin Lianwen; Liu, Tengfei; Liu, April Hua Article
Statistical Validation of Traditional Chinese Medicine Syndrome Postulates in the Context of Patients with Cardiovascular Disease
The Journal of Alternative and Complementary Medicine, v.19, (10), October 2013, p. 799-804
Xu, zhaoxia; Zhang, Nevin Lianwen; Wang, Yiqin; Liu, Guoping; Xu, Jin; Liu, Tengfei; Liu, Hua Article

2012 12

Discovery of Regularities in the Use of Herbs in Chinese Medicine Prescriptions
Chinese Journal of Integrative Medicine, v. 18, (2), February 2012, p. 88-92
Chen, Tao; Zhou, Xue-zhong; Zhang, Run-shun; Zhang, Nevin L. Article
Latent Structure Analysis and Syndrome Differentiation for the Integration of Traditional Chinese and Western Medicine (II): Joint Clustering
World Science and Technology-Modernization of Traditional Chinese Medicine, v. 2012, (2), pp. 1422-1427
Zhang, Nevin Lianwen; Xu, Zhaoxia; Wang, Yiqin; Liu, Tengfei; Liu, Guoping; Li, Fufeng; Yan, Haixia; Guo, Rui Article
Model-based multidimensional clustering of categorical data
Artificial intelligence, v. 176, (1), 2012, JAN, p. 2246-2269
Chen, Tao; Zhang, Nevin Lianwen; Liu, Tengfei; Poon, Kin Man; Wang, Yi Article
基于隐结构模型分析的心血管疾病中医问诊证候分类研究
中国中医药信息杂志, v.3, 2012.
许朝霞; 刘腾飞; 王忆勤; 张连文; 刘国萍; 燕海霞; 郭睿; 徐琎; 郝一鸣; 洪毓键 Article
基于隐结构法的寻常型银屑病常见证候要素的研究
首都医科大学学报, v.33, (1), 2012. p.94-98
徐雯洁; 王天芳; 刘卫红; 吴秀艳; 张会娜; 张广中; 张连文; 姜春燕; 陈维文; 瞿 幸; 王 萍; 李 萍 Article
基于隱結構模型分析的心血管疾病中醫問診證候分類研究
中国中医药信息杂志=Chinese Journal of Information on Traditional Chinese Medicine, v. 19, (3), 2012, p. 9
許朝霞; 劉騰飛; 王憶勤; 張連文; 劉國萍; 燕海霞; 郭睿; 徐琎; 郝一鳴; 洪毓鍵 Article
隐树模型几个关键指标的辨证意义
中华中医药杂志=China Journal of Traditional Chinese Medicine and Pharmacy, v. 27, (5), 2012, p. 1241-1244
袁世宏; 張連文; 王天芳; 赵燕; 王庆国 Article
隐结构分析与西医疾病的辨证分型（II）：综合聚类
世界科学技术-中医药现代化, v.14, (2), 2012, p.1422-1427
张连文; 许朝霞; 王忆勤; 刘腾飞; 刘国萍; 李福凤; 燕海霞; 郭睿 Article
A Model-Based Approach to Rounding in Spectral Clustering
Uncertainty in Artificial Intelligence, Edity by Nando de Freitas, Kevin Murphy. USA : AUAI Press, 2012, p. 685-694
Poon, Leonard K.M.; Liu, Hua; Liu, Tengfei014546; Zhang, Nevin L. Conference paper
A novel LTM-based method for multi-partition clustering
Proceedings of the 6th European Workshop on Probabilistic Graphical Models, (PGM-12), Granada, Spain 2012, 2012, p. 203-210
Liu, Tengfei; Zhang, Nevin Lianwen; Poon, Kin Man; Liu, Hua; Wang, Yi Conference paper
Discovery of regularities in the use of herbs in traditional Chinese medicine prescriptions
New Frontiers in Applied Data Mining: PAKDD 2011 International Workshops Revised Selected Papers, Editors: Longbing Cao, Joshua Zhexue Huang, James Bailey, Yun Sing Koh, Jun Luo. Berlin, Heidelberg : Springer-Verlag, 2012, p. 353-360, Part of the Lecture Notes in Computer Science book series (LNCS, volume 7104)
Zhang, Nevin L.; Zhang, Runsun; Chen, Tao Conference paper
Multidimensional Clustering Using Latent Feature Models for Consumer Segmentation and Forecasting
4th Annual American Business Research Conference, New York City, 4-5 Jun 2012
Cui, Geng; Zhang, Nevin L.; Wang, Ying Conference paper

2011 8

The Inception of TCM Syndrome Types in Human Cognitation and Dataming Methods for TCM Data
Journal of traditional chinese medicine, Vol 52, No 4, 284-287, 2011
Yuan, Shihong; Wang, Tianfang; Zhang, Nevin L. Article
中医证候的认知思路及其数据挖掘方法
中医杂志=Journal of Traditional Chinese Medicine, v. 2011, (04), 2011, p. 284-288
袁世宏; 王天芳; 張連文 Article
基于隐结构法的慢性阻塞性肺疾病稳定期常见证候要素的研究
北京中医药大学学报=Journal of Beijing University of Traditional Chinese Medicine, v. 2011, (02), 2011, p. 82-86
徐雯潔; 王天芳; 王智瑜; 吳秀艷; 趙燕; 薛曉琳; 杜彩鳳; 張連文; 王燚; 于麗麗; 呂佳蒼; 王慶國 Article
隐结构分析与西医疾病辨证分型(Ⅰ):基本原理
世界科學技術-中醫藥現代化 World Science and Technology-Modernization of Traditional Chinese Medicine, v. 13, (3), 2011, p. 498-502
Zhang, Nevin Lianwen; Yuan, Shihong; Wang, Tianfang; Zhao, Yan; Wang, Yi; Liu, Tengfei; Wang, Qingguo Article
Discovery of Regularities in the Use of Herbs in Traditional Chinese Medicine Prescriptions
AI-TCM Workshop, PAKDD2011, Shenzhen, China, May 24-27, 2011, 8 pages
Zhang, Nevin L.; Zhang, Runsun; Chen, Tao (Past PhD) Conference paper
Fast multidimensional clustering of categorical data
CEUR Workshop Proceedings, v. 772, 2011, p. 19-30
Liu, Tengfei; Zhang, Nevin Lianwen; Poon, Kin Man; Wang, Yi; Liu, Hua Conference paper
Latent tree classifier
Lecture Notes in Computer Science, v. 6717, 2011, p. 410-421
Wang, Y.; Zhang, N.L.; Chen, T.; Poon, L.K.M. Conference paper
The role of operation granularity in search-based learning of latent tree models
Lecture Notes in Computer Science, v. 6797, 2011, p. 219-231
Chen, T.; Zhang, N.L.; Wang, Y. Conference paper

2010 6

Study on Pathogenesis of Type 2 Diabetes by the Latent Structural Model
World Science and Technology, v. 11, (4), August 2010, p. 516-521
Gong, Yanbing; Zhang, Lianwen; Gao, Sihua; Luo, Zenggang; Ni, Qing; Xie, Yanming Article
基于隐结构法的更年期综合征常见证候要素的研究
北京中医药大学学报=Journal of Beijing University of Traditional Chinese Medicine, v. 2010, (12), 2010, p. 856-860
杜彩鳳; 王天芳; 辛意; 李力; 任婕; 吳秀艷; 趙燕; 薛曉琳; 徐雯潔; 王智瑜; 張連文; 王慶國 Article
Statistical truths in traditional Chinese medicine theories
2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010, 2010, p. 631-634
Zhang, N.L.; Yuan, S. Conference paper
The Role of Operation Granularity in Search-Based Learning of Latent Tree Models
The First International Workshop on Advanced Methodologies for Bayesian Networks (AMBN 2010), November 18-19, Tokyo, 1 page & oral presentation, 2010
Chen, Tao; Zhang, Nevin L.; Wang, Yi Conference paper
Using Bayesian Networks for Model-Based Multiple Clusterings: An Example of Exploratory Analysis on NBA Data
The First International Workshop on Advanced Methodologies for Bayesian Networks (AMBN 2010), November 18-19, Tokyo, 1 page & oral presentation, 2010
Poon, Kin Man; Zhang, Nevin L.; Chen, Tao; Liu, Tengfei; Wang, Yi Conference paper
Variable selection in model-based clustering: To do or to facilitate
Proceedings of the 27th International Conference on Machine Learning, ICML 2010, 2010, p. 887-894
Poon, Leonard K.M.; Zhang, Nevin Lianwen; Chen, Tao; Wang, Yi Conference paper

2009 3

辨证理论的隐结构思想
北京中医药大学学报=Journal of Beijing University of Traditional Chinese Medicine, v. 32, (4), 2009, p. 221-225
袁世宏; 張連文; 杜彩鳳; 王天芳 Article
隐结构模型及其在中医证候研究中的应用
北京中医药大学学报=Journal of Beijing University of Chinese Medicine, v. 32, (8), August 2009, p. 519-526
王天芳; 張連文; 趙燕; 王燚; 吳秀艷; 袁世宏; 王智瑜; 杜彩鳳; 徐雯潔; 于春光; 陳弢; 潘建文; 王慶國 Article
隱結構模型對2型糖尿病病機規律的探討
世界科學技術：中醫藥現代化, v. 4, (4), 2009, p. 516-521
龔燕冰; 張連文; 高思華; 羅增剛; 倪青; 謝雁鳴 Article

2008 10

A rigorous carrier-based analytic model for undoped ultra-thin-body silicon-on-insulator (UTB-SOI) MOSFETs
Molecular simulation, v. 34, (1), 2008, p. 63-71
He, J.; Bian, W.; Chen, Y.; Wei, Y.; Zhang, L.; Zhang, J.; Chan, M. Article
Discovery of latent structures. Experience with the COIL Challenge 2000 data
Journal OF SYSTEMS science & COMPLEXITY, v. 21, (2), 2008, JUN, p. 172-183
Zhang, Nevin L.; Wang, Yi; Chen, Tao Article
Latent structure models and syndrome differentiation in traditional Chinese medicine (II): Analysis of Kidney Deficiency Data
Journal of Beijing University of Chinese Medicine, 31(9):584-587
Zhang, Nevin L.; Yuan, Shihong; Wang, Yi; Chen, Tao Article
Latent structure models and syndrome differentiation in traditional Chinese medicine (III): Model-based syndrome differentiation versus syndrome differentiation by experts
Journal of Beijing University of Chinese Medicine, 31(10):659-663
Yuan, Shihong; Zhang, Nevin L.; Chen, Tao; Wang, Yi Article
Latent tree models and approximate inference in Bayesian networks
Journal of artificial intelligence research, v. 32, 2008, p. 879-900
Wang, Yi; Zhang, Nevin Lianwen; Chen, Tao Article
Latent tree models and diagnosis in traditional Chinese medicine
Artificial intelligence in medicine, v. 42, (3), 2008, MAR, p. 229-245
Zhang, Nevin L.; Yuan, Shihong; Chen, Tao; Wang, Yi Article
Statistical validation of Traditional Chinese Medicine theories
Journal of alternative and complementary medicine, v. 14, (5), 2008, JUN, p. 583-587
Zhang, Nevin L.; Yuan, Shihong; Chen, Tao; Wang, Yi Article
隐结构模型与中医辨证研究(Ⅱ)肾虚数据分析
北京中医药大学学报=Journal of Beijing University of Traditional Chinese Medicine, v. 2008, (09), 2008, p. 584-587
張連文; 袁世宏; 陳弢; 王燚 Article
Efficient Model Evaluation in the Search-Based Approach to Latent Structure Discovery
The Fourth European Workshop on Probabilistic Graphical Models (PGM-08), Hirtshals, Denmark September 17-19, 2008. pp., 57-64
Chen, Tao; Zhang, Nevin L.; Wang, Yi Conference paper
Latent Tree Models and Approximate Inference in Bayesian Networks
Proceedings of the National Conference on Artificial Intelligence, v. 2, 2008, p. 1112-1118
Wang, Yi; Zhang, Nevin Lianwen; Chen, Tao Conference paper

2007 3

Discovering latent structures: Experience with the coil challenge 2000 data set
Lecture Notes in Computer Science, v. 4490, (PART 4), 2007, p. 26-34
Zhang, N.L. Conference paper
Discovery of Latent Structures: Experience with the CoIL Challenge 2000 Data Set
International Conference on Computational Science (ICCS 2007), May 27-30, 2007
Zhang, Nevin L. Conference paper
Hierarchical latent class models and statistical foundation for traditional Chinese medicine
Lecture Notes in Computer Science, v. 4594, 2007, p. 139-143
Zhang, N.L.; Yuan, S.; Chen, T.; Wang, Y. Conference paper

2006 9

A coupling and crosstalk-considered timing-driven global routing algorithm for high-performance circuit design
Integration-the VLSI journal, v. 39, (4), 2006, JUL, p. 457-473
Xu, JY; Hong, XL; Jing, T.; Zhang, L.; Gu, J. Article
A Study of Bloodstasis Symptoms and Physical Signs Based on Latent Structure Models
World Science and Technology-Modernization of Traditional Chinese Medicine, v. 8, (66), 2006, p. 23-27
Wang, Jie; Li, Haixia; Wang, Yi; Zhang Nevin L; Yao Kuiwu Article
Integrated location management and location-aided routing system for mobile ad hoc networks
Journal of parallel and distributed computing, v. 66, (3), 2006, MAR, p. 367-378
Zhang, L.; Muppala, JK; Chanson, ST Article
Latent Structure Models and Diagnosis in Traditional Chinese Medicine (I):
Journal of Beijing University of Traditional Chinese Medicine, v.29, (6), p.365-369
Zhang, Nevin L.; Yuan, Shihong Article
隐结构模型与中医辨证研究（I）隐结构法的基本思想及隐结构分析工具
北京中医药大学学报=Journal of Beijing University of Traditional Chinese Medicine, v. 2006, (06), 2006, p. 365-369
張連文; 袁世宏 Article
贝叶斯网引论
贝叶斯网引论 / 张连文, 郭海鹏. 北京: 科学出版社, 2006
张连文; 郭海鹏 Book
Quartet-Based Learning of Hierarchical Latent Class Models: Discovery of Shallow Latent Variables.
9th International Symposium on Artificial Intelligence and Mathematics. Fort Lauderdale, Florida, January 4-6, 2006.
Chen, Tao; Zhang, Nevin L. Conference paper
Quartet-based learning of shallow latent variables
Third European Workshop on Probabilistic Graphical Model, 59-66 , September 12-15, 2006.
Chen, Tao; Zhang, Nevin L. Conference paper
Severity of local maxima for the EM algorithm: experiences with hierarchical latent class models
The Third European Workshop on Probabilistic Graphical Models, 301-308, September 12-15, 2006.
Wang, Yi; Zhang, Nevin L. Conference paper

2005 3

Effective dimensions of partially observed polytrees
International journal of approximate reasoning, v. 38, (3), 2005, MAR, p. 311-332
Tao, C.; Kocka, T.; Zhang, NL Article
Restricted value iteration: Theory and algorithms
Journal of artificial intelligence research, v. 23, 2005, p. 123-165
Zhang, WH; Zhang, NL Article
Discriminant analysis with tensor representation
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005; San Diego, CA; United States, v. 1, 20 June 2005 through 25 June 2005; Category numberP2372; Code 65595, Pages 526-532
Yan, Shuicheng; Xu, Dong; Yang, Qiang; Zhang, Lei; Tang, Xiaoou; Zhang, Hongjiang Conference paper

2004 6

Effective dimensions of hierarchical latent class models
Journal of artificial intelligence research, v. 21, 2004, p. 1-17
Zhang, NL; Kocka, T. Article
Hierarchical latent class models for cluster analysis
Journal of Machine Learning Research, v. 5, June 2004, p. 697-723
Zhang, Nevin L Article
Latent variable discovery in classification models
Artificial intelligence in medicine, v. 30, (3), 2004, MAR, p. 283-299
Zhang, NL; Nielsen, TD; Jensen, FV Article
数理统计思想及方法在辩证规范化研究中的应用及思考
中国中医基础医学杂志=Chinese Journal of Basic Medicine in Traditional Chinese Medicine, v. 2004, (04), 2004, p. 15-18+21
袁世宏; 張連文; 王米渠 Article
Efficient learning of hierarchical latent class models
Proceedings - International Conference on Tools with Artificial Intelligence, TAI, 2004, p. 585-593
Zhang, NL; Kocka, T. Conference paper
Reinforcement learning in episodic non-stationary markovian environments
Proceedings of the International Conference on Artificial Intelligence, IC-AI'04, v. 2, 2004, p. 752-758
Choi, S.P.M.; Zhang, N.L.; Yeung, D.Y. Conference paper

2003 3

Exploiting contextual independence in probabilistic inference
Journal of artificial intelligence research, v. 18, 2003, p. 263-313
Poole, David; Zhang, Nevin Lianwen Article
Symbolic and Quantitative Approaches to Reasoning with Uncertainty: Proceedings of the 7th European Conference
Springer.
Nielsen, Thomas D.; Zhang, Nevin L. Book
MAPS - A generalized scheme for quality of service routing under delay-bandwidth constraints
International Conference on Computer Communications & Networks (ICCCN), 2003, p. 491-496
Zhang, L.; Mupala, JK; Chanson, ST Conference paper

2002 4

Dimension correction for hierarchical latent class models
Proc. of the 18th Conference on Uncertainty in Artificial Intelligenc (UAI-02), 1-4,August 2002, p. 267-274
Kocka, Tomas; Zhang, Nevin L. Conference paper
Hierarchical latent class models for cluster analysis
Proceedings of the National Conference on Artificial Intelligence, 2002, p. 230-237
Zhang, N.L. Conference paper
Multi-model approach to non-stationary reinforcement learning
Sixth IASTED International Conference on Artificial Intelligence and Soft Computing, Banff, Canada, 17-19 July, pp. 350-355
Choi, Samuel P.M.; Yeung, Dit-Yan; Zhang, Nevin L. Conference paper
Value iteration working with belief subset
Proceedings of the National Conference on Artificial Intelligence, 2002, p. 307-312
Zhang, W.; Zhang, N.L. Conference paper

2001 6

Inference in Bayesian networks: The role of context-specific independence
International Journal of Information Technology and Decision Making, 1(1), 91-119
Zhang, Nevin Lianwen Article
Speeding up the convergence of value iteration in partially observable Markov decision processes
Journal of artificial intelligence research, v. 14, 2001, p. 29-51
Zhang, NL; Zhang, WH Article
Hidden-mode Markov decision processes for nonstationary sequential decision making
In Sequence Learning: Paradigms, Algorithms, and Applications / R.Sun & C.L. Giles (eds.). Springer-Verlag, 2001, p. 264-287
Choi, Samuel; Yeung, Dit Yan; Zhang, Nevin L. Book chapter
An alternative formulation of dynamic programming updates for POMDPs
Proc. of the 7th International Symposium on Artificial Intelligence and Mathematics, 2-4 January, Fort Lauderdale, Florida
Zhang, Weihong; Zhang, Nevin L. Conference paper
Solving hidden-mode Markov decision problems
Proceedings of Machine Learning Research, v. R3, 2001, p. 49-56
Choi, Ping Man Samuel; Zhang, Nevin Lianwen; Yeung, Dit Yan Conference paper
Space-progressive value iteration: An anytime algorithm for a class of POMDPs
Proc. of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 72-83
Zhang, Nevin Lianwen; Zhang, Weihong Conference paper

2000 2

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

1999 4

A Distributed Search System Based on Markov Decision Processes
Lecture Notes in Computer Science, v. 1749, 1999, p. 73-82
Shen, Yipeng; Lee, Dik Lun; Zhang, Nevin Lianwen Article
A method for speeding up value iteration in partially observable Markov decision processes
UNCERTAINTY IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 1999, p. 696-703
Zhang, NL; Lee, SS; Zhang, WH Conference paper
Hidden-mode Markov decision processes
Proceedings of the 16th international joint conference on artificial intelligence (IJCAI-99), workshop on neural symbolic, and reinforcement methods for sequence learning, Stockholm, Sweden, 1999, p. 9-14
Choi, Samuel P.M.; Yeung, Dit-Yan; Zhang, Nevin Lianwen Conference paper
On the role of context-specific independence in probabilistic inference
16th International Joint Conference on Artificial Intelligence, IJCAI 1999, Stockholm, Sweden, v.1, 1999, p. 1288-1293
Zhang, Nevin L.; Poole, D. Conference paper

1998 4

Computational properties of two exact algorithms for Bayesian networks
Applied intelligence, v. 9, (2), 1998, September, p. 173-183
Zhang, NL Article
Context-specific Independence, Decomposition of Conditional Probabilities, and Inference in Bayesian Networks
Lecture Notes in Artificial Intelligence, v. 1531, 1998, p. 411-423
Zhang, Nevin L Article
Independence of causal influence and clique tree propagation
International journal of approximate reasoning, v. 19, (3-4), 1998, OCT-NOV, p. 335-349
Zhang, NL; Yan, L. Article
Probabilistic inference in influence diagrams
Computational intelligence, v. 14, (4), 1998, NOV, p. 475-497
Zhang, NL Article

1997 1

A model approximation scheme for planning in partially observable stochastic domains
Journal of artificial intelligence research, v. 7, 1997, p. 199-230
Zhang, NL; Liu, WJ Article

1996 2

Exploiting causal independence in Bayesian network inference
Journal of artificial intelligence research, v. 5, 1996, p. 301-328
Zhang, NL; Poole, D. Article
Irrelevance and parameter learning in Bayesian networks
Artificial intelligence, v. 88, (1-2), 1996, DEC, p. 359-373
Zhang, NLW Article

1995 1

Inference with causal independence in the CPSC network
Proc. of the Eleventh Conference on Uncertainties in Artificial Intelligence, 1995, p. 582-590
Zhang, Nevin L. Conference paper

1994 6

A COMPUTATIONAL THEORY OF DECISION NETWORKS
International journal of approximate reasoning, v. 11, (2), 1994, AUG, p. 83-158
ZHANG, NLW; QI, RP; POOLE, D. Article
Minimizing decision tables in influence diagrams
Selecting Models from Data : Artificial Intelligence and Statistics IV / Edited by P. Cheeseman, R.W. Oldford. Springer-Verlag, 1994
Zhang, Nevin L.; Qi, R.; Poole, D. Book chapter
Representation, independence, and combination of evidence in the Dempster-Shafer theory
Advances in the Dempster-Shafer Theory of Evidence / Edited by M. Fedrizzi. New York: John Wiley & Sons, Inc., 1994, p. 51-95
Zhang, Nevin L. Book chapter
A simple approach to Bayesian network computations
Proc. of the Tenth Canadian Conference on Artificial Intelligence, 1994, p. 171-178
Zhang, Nevin L.; Poole, D. Conference paper
Removable arcs in stepwise-decomposable decision networks
Proc of the Third International Symposium on Artificial Intelligence and Mathematics, 1994, p. 423-431
Zhang, Nevin L.; Poole, D. Conference paper
Solving asymmetric decision problems with influence diagrams
Proc. of the Tenth Conference on Uncertainties in Artificial Intelligence, July 29-31 1994
Qi, R.; Zhang, Nevin L.; Poole, D. Conference paper

1993 3

Structural and functional quantization of vagueness
Fuzzy Sets and Systems, v. 55, 1993, p. 51-60
Zhang, Nevin L. Article
Studies on hypergraphs: (I) Hyperforests
Discrete Applied Mathematics, v. 42, 1993, p. 95-112
Zhang, Nevin L. Article
Incremental computation of the value of perfect information in stepwise-decomposable influence diagrams
Proc. of the Ninth International Conference on Uncertainty in Artificial Intelligence, 1993, p. 400-410
Zhang, Nevin L.; Qi, R.; Poole, D. Conference paper

1992 2

Sidestepping the Triangulation Problem in Bayesian Net Computations
Proc. of the Eighth Conference on Uncertainties in Artificial Intelligence, 1992, p. 360-367
Zhang, Nevin L.; Poole, D. Conference paper
Stepwise-decomposable influence diagrams
Proc. of the Third Conference on Knowledge representation, 1992, p. 141-152
Zhang, Nevin L.; Qi, R.; Poole, D. Conference paper

1986 1

Weights of evidence and internal conflict for support functions
Information Sciences, v. 38, 1986, p. 205-212
Zhang, Nevin L. Article


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Article 3

Add-On Chinese Medicine for Coronavirus Disease 2019 (ACCORD): A Retrospective Cohort Study of Hospital Registries
American Journal of Chinese Medicine, v. 49, (3), March 2021, p. 543-575
Shu, Zixin; Chang, Kai; Zhou, Yana; Peng, Chaoan; Li, Xugui; Cai, Wei; Wei, Li; Zheng, Qiguang; Tian, Haoyu; Xia, Jianan; Yang, Kuo; Wang, Ning; Liu, Jifen; Min, Xiaojun; Yan, Dengying; Sun, Jing; Wu, Huan; Li, Xiaomeng; Zheng, Yi; Yu, Zecong; Lu, Xi; Yang, Yuxia; Jia, Ting; Ji, Jinghui; Zou, Qunzheng; Wang, Yinyan; Xiao, Minzhong; Zhang, Qing; Xiong, Yajuan; Sun, Feng; Zhu, Qiang; Jiang, Xingxing; Wang, Guodong; Tang, Sydney Chi-Wai; Zhang, Junhua; Li, Xiuyang; Zhang, Nevin Lianwen; Zhang, Boli; Tong, Xiaolin; Liu, Baoyan; Zhou, Xenzhong; Chan, Kam Wa; Li, Xiaodong
Applying Latent Tree Analysis to Classify Traditional Chinese Medicine Syndromes (Zheng) in Patients with Psoriasis Vulgaris
Journal of Traditional Chinese Medicine, 26 April 2021
Xu, Wenjie; Zhang, Nevin Lianwen; Li, Ping; Wang, Tiangfang; Chen, Weiwen; Liu, April H.; Mohler-kuo, Meichun
SYmptom-Based STratification of DiabEtes Mellitus by Renal Function Decline (SYSTEM): A Retrospective Cohort Study and Modeling Assessment
Frontiers in Medicine, v. 8, June 2021, article number 682090
Chan, Kam Wa; Chow, Tak Yee; Yu, Kam Yan; Xu, Yulong; Zhang, Nevin Lianwen; Wong, Vivian Taam; Li, Saimei; Tang, Sydney Chi Wai

Conference paper 3

DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling
ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference, v. 1, August 2021, p. 69-81
Xue, Lanqing; Song, Kaitao; Wu, Doucai; Tan, Xu; Zhang, Nevin Lianwen; Qin, Tao; Zhang, Wei-Qiang; Liu, Tie-Yan
Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization
ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference, v. 1, August 2021, p. 93-102
Lee, Dongkyu; Tian, Zhiliang; Xue, Lanqing; Zhang, Nevin Lianwen
Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks
Proceedings of the AAAI Conference on Artificial Intelligence, v. 35, (15), 2021, article number 17638, p. 13907-13915
Tian, Zhiliang; Bi, Wei; Zhang, Zihan; Lee, Dongkyu; Song, Yiping; Zhang, Nevin Lianwen


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Article 2

A deep learning–based method for the design of microstructural materials
Structural and Multidisciplinary Optimization, v. 61, (4), April 2020, p. 1417-1438
Tan, Ren Kai; Zhang, Nevin Lianwen; Ye, Wenjing
Evaluating traditional Chinese medicine diagnostic instruments for functional dyspepsia: systematic review on measurement properties
Integrative Medicine Research, v. 10, (3), September 2021, article number 100713
Ho, Leonard T.F.; Chung, Vincent C.H.; Wong, Charlene H.L.; Wu, Irene X.Y.; Lan, Kun Chan; Wu, Darong; Yeung, Jerry W.F.; Zhang, Nevin Lianwen; Leung, Ting Hung; Wu, Justin C.Y.

Conference paper 3

Learning the Structure of Auto-Encoding Recommenders
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, 2020, p. 519-529
Khawar, Farhan; Poon, Leonard; Zhang, Nevin Lianwen
Not All Attention Is Needed: Gated Attention Network for Sequence Data
Proceedings of the AAAI Conference on Artificial Intelligence, v. 34, (4), 2020, p. 6550-6557
Xue, Lanqing; Li, Xiaopeng; Zhang, Nevin Lianwen
Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics / Association for Computational Linguistics. Association for Computational Linguistics, 2020, p. 650-659
Tian, Zhiliang; Bi, Wei; Lee, Dongkyu; Xue, Lanqing; Song, Yiping; Liu, Xiaojiang; Zhang, Nevin Lianwen


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Article 2

基于隐结构分析建立中医证候分型规则的三种方法
世界科学技术: 中医药现代化=Modernization of Traditional Chinese Medicine and Materia Medica - World Science and Technology, v. 21, (1), 2019, p. 101-108
许玉龙; 吴秀艳; 李延龙; 王天芳; 张连文; 薛晓琳
数据分析方法在证候要素研究中的应用概况
中华中医药杂志=China Journal of Traditional Chinese Medicine and Pharmacy, v. 34, (9), 2019, p. 1673-1727
李延龙; 窦智丽; 吴秀艳; 王天芳; 张连文

Conference paper 7

A Novel Document Generation Process for Topic Detection Based on Hierarchical Latent Tree Models
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 11726 LNAI, September 2019, p. 265-276
Chen, Peixian; Chen, Zhourong; Zhang, Nevin Lianwen
Cleaned similarity for better memory-based recommenders
SIGIR 2019 - Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, July 2019, p. 1193-1196
Khawar, Farhan; Zhang, Nevin Lianwen
Conformative Filtering for Implicit Feedback Data
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 11437 LNCS, April 2019, p. 164-178
Khawar, Farhan; Zhang, Nevin Lianwen
Fast Structure Learning for Deep Feedforward Networks via Tree Skeleton Expansion
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 11726 LNAI, 2019, p. 277-289
Chen, Zhourong; Li, Xiaopeng; Tian, Zhiliang; Zhang, Nevin Lianwen
Learning Latent Superstructures in Variational Autoencoders for Deep Multidimensional Clustering
7th International Conference on Learning Representations, ICLR 2019, 2019
Li, Xiaopeng; Chen, Zhourong; Poon, Leonard K M; Zhang, Nevin Lianwen
Learning to Abstract for Memory-augmented Conversational Response Generation
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics / Anna Korhonen, David Traum, Lluís Màrquez (Editors). Stroudsburg, USA : Association for Computational Linguistics, 2019, p. 3816-3825
Tian, Zhiliang; Bi, Wei; Li, Xiaopeng; Zhang, Nevin Lianwen
Modeling Multidimensional User Preferences for Collaborative Filtering
Proceedings - International Conference on Data Engineering, v. 2019-April, April 2019, article number 8731544, p. 1618-1621
Khawar, Farhan; Zhang, Nevin Lianwen


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Article 1

UC-LTM: Unidimensional Clustering Using Iatent Tree Models for Discrete Data
International Journal of Approximate Reasoning, v. 92, January 2018, p. 392-409
Poon, Leonard K. M.; Liu, April H.; Zhang, Nevin L.

Conference paper 3

Building Sparse Deep Feedforward Networks using Tree Receptive Fields
IJCAI International Joint Conference on Artificial Intelligence, v. 2018-July, 2018, p. 5045-5051
Li, Xiaopeng; Chen, Zhourong; Zhang, Nevin Lianwen
Matrix Factorization Equals Efficient Co-occurrence Representation
Twelfth ACM Conference on Recommender Systems (RecSys 2018), Vancouver, Canada, 2-7 October 2018
Khawar, Farhan; Zhang, Nevin Lianwen
Using Taste Groups for Collaborative Filtering
Twelfth ACM Conference on Recommender Systems (RecSys 2018), Vancouver, Canada, 2-7 October 2018
Khawar, Farhan; Zhang, Nevin Lianwen


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Article 4

A Data-Driven Method for Syndrome Type Identification and Classification in Traditional Chinese Medicine
Journal of Integrative Medicine, v. 15, (2), March 2017, p. 110-123
Zhang, Nevin L.; Fu, Chen; Liu, Tengfei; Chen, Bao-xin; Poon, Kin Man; Chen, Peixian; Zhang, Yun Ling
Identification and classification of traditional Chinese medicine syndrome types among senior patients with vascular mild cognitive impairment using latent tree analysis
Journal of Integrative Medicine, v. 15, (3), May 2017, p. 186-200
Fu, Chen; Zhang, Nevin Lianwen; Chen, Bao-xin; Chen, Zhourong; Jin, Xiang Lan; Guo, Rong Juan; Chen, Zhi Gang; Zhang, Yun Ling
Latent Tree Models for Hierarchical Topic Detection
Artificial Intelligence, v. 250, September 2017, p. 105-124
Chen, Peixian; Zhang, Nevin L; Liu, Tengfei; Poon, Leonard K.M.; Chen, Zhourong; Khawar, Farhan
Spectral methods for learning discrete latent tree models
Statistics and Its Interface, v. 10, (4), 2017, p. 677-698
Wang, Xiaofei; Guo, Jianhua; Hao, Lizhu; Zhang, Nevin L.

Conference paper 4

Latent Tree Analysis
Proceedings of the AAAI Conference on Artificial Intelligence, v. 31, (1), 2017, article number 11144, p. 4891-4897
Zhang, Nevin Lianwen; Poon, Leonard K. M.
Mining Textual Reviews with Hierarchical Latent Tree Analysis
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 10387 LNCS, 2017, p. 401-408
Poon, Leonard K.M.; Leung, Chun Fai; Zhang, Nevin L
Sparse Boltzmann Machines With Structure Learning as Applied to Text Analysis
Proceedings of the AAAI Conference on Artificial Intelligence, v. 31, (1), 2017, article number 10773, p. 1805-1811
Chen, Zhourong; Zhang, Nevin Lianwen; Yeung, Dit Yan; Chen, Peixian
Topic Browsing System for Research Papers Based on Hierarchical Latent Tree Analysis
APWeb-WAIM 2017: Web and Big Data, Editors: Lei Chen, Christian S. Jensen, Cyrus Shahabi, Xiaochun Yang, Xiang Lian. Cham : Springer International Publishing AG, 2017, p. 341-344, Part of the Lecture Notes in Computer Science book series (LNCS, volume 10367); Proceedings, Part II
Poon, Leonard K.M.; Leung, Chun Fai; Chen, Peixian; Zhang, Nevin L.


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Article 1

Identification of Chinese medicine syndromes in persistent insomnia associated with major depressive disorder: a latent tree analysis
Chinese Medicine (United Kingdom), v. 11, (1), February 2016, article number 4
Yeung, Wingfai; Chung, Ka-Fai; Zhang, Nevin Lian Wen; Zhang, Shiping; Yung, Kamping; Chen, Peixian; Ho, Yanyee

Conference paper 1

Progressive EM for Latent Tree Models and Hierarchical Topic Detection
Proceedings of the AAAI Conference on Artificial Intelligence, v. 30, (1), 2016, article number 10196, p. 1498-1504
Chen, Peixian; Zhang, Nevin Lianwen; Poon, Leonard K.M.; Chen, Zhourong


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Article 1

Greedy learning of latent tree models for multidimensional clustering
Machine learning, v. 98, (1-2), January 2015, p. 301-330
Liu, Tengfei; Zhang, Nevin Lianwen; Chen, Peixian; Liu, April Hua; Poon, Leonard, K.M.; Wang, Yi

Conference paper 2

Bayesian Adaptive Matrix Factorization with Automatic Model Selection
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, v. 07-12-June-2015, October 2015, article number 7298733, p. 1284-1292
Chen, Peixian; Wang, Naiyan; Zhang, Nevin Lianwen; Yeung, Dit Yan
Unidimensional Clustering of Discrete Data using Latent Tree Models
Proceedings of the AAAI Conference on Artificial Intelligence, v. 29, (1), 2015, article number 9593, p. 2771-2777
Liu, Hua; Poon, Kin Man; Zhang, Nevin Lianwen


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Article 3

Discovering Symptom Co-Occurrence Patterns from 604 Cases of Depressive Patient Data Using Latent Tree Models
Journal of Alternative and Complementary Medicine, v. 20, (4), April 2014, p. 265-271
Zhao, Yan; Zhang, Nevin Lainwen; Wang, Tianfang; Wang, Qingguo
Latent Structure Analysis and Syndrome Differentiation for Integration of Traditional Chinese Medicine and Western Medicine (III)：Establishment of Classification Rules
World Science and Technology-Modernization of Traditional Chinese Medicine, (4), 2014, p. 723-730
Zhang, Nevin Lianwen; Fu, Chen; Liu, Tengfei; Chen, Baoxing; Liu, Hua; Zhang, Yunling
Latent tree models for rounding in spectral clustering
Neurocomputing, v. 144, November 2014, p. 448-462
Liu, April Hua; Poon, Leonard K.M.; Liu, Teng-Fei; Zhang, Nevin Lianwen

Book chapter 1

Statistical Validation of TCM Syndrome Postulates in the Context of Depressive Patients
Data Analytics for Traditional Chinese Medicine Research / Edited by Josiah Poon, Simon K. Poon. Switzerland : Springer International Publishing, 2014, p. 111-121
Zhao, Yan; Zhang, Nevin L.; Wang, Tianfang; Wang, Qingguo; Liu, Tengfei

Conference paper 3

A study of recently discovered equalities about latent tree models using inverse edges
Probabilistic Graphical Models: 7th European Workshop, PGM 2014, Utrecht, The Netherlands, September 17-19, 2014: Proceedings, Edited by Linda C. van der Gaag, Ad J. Feelders. Switzerland : Springer International Publishing, 2014, p. 567-580
Zhang, Nevin Lianwen; Wang, Xiaofei; Chen, Peixian
Hierarchical latent tree analysis for topic detection
Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part II, Edited by Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo. Heidelberg : Springer-Verlag, 2014, p. 256-272
Liu, Tengfei; Zhang, Nevin Lianwen; Chen, Peixian
Solving informative partially observable Markov decision processes
Proceedings of the sixth European Conference on Planning / Edited by Amedeo Cesta and Daniel Borrajo. AAAI Press, 2014
Zhang, Weihong; Zhang, Nevin Lianwen


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Article 4

A Survey on Latent Tree Models and Applications
Journal of Artificial Intelligence Research, v. 47, 2013, p. 157-203
Mourad, Raphael; Sinoquet, Christine; Zhang, Nevin Lianwen; Liu, Tengfei; Leray, Philippe
LTC: A Latent Tree Approach to Classification
International journal of approximate reasoning, v. 54, (4), June 2013, p. 560-572
Wang, Yi; Zhang, Nevin Lianwen; Chen, Tao; Poon, Leonard K.M.
Model-based clustering of high-dimensional data: Variable selection versus facet determination
International Journal of Approximate Reasoning, v. 54, (1), January 2013, p. 196-215
Poon, Leonard Kin Man; Zhang, Nevin Lianwen; Liu, Tengfei; Liu, April Hua
Statistical Validation of Traditional Chinese Medicine Syndrome Postulates in the Context of Patients with Cardiovascular Disease
The Journal of Alternative and Complementary Medicine, v.19, (10), October 2013, p. 799-804
Xu, zhaoxia; Zhang, Nevin Lianwen; Wang, Yiqin; Liu, Guoping; Xu, Jin; Liu, Tengfei; Liu, Hua


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Article 8

Discovery of Regularities in the Use of Herbs in Chinese Medicine Prescriptions
Chinese Journal of Integrative Medicine, v. 18, (2), February 2012, p. 88-92
Chen, Tao; Zhou, Xue-zhong; Zhang, Run-shun; Zhang, Nevin L.
Latent Structure Analysis and Syndrome Differentiation for the Integration of Traditional Chinese and Western Medicine (II): Joint Clustering
World Science and Technology-Modernization of Traditional Chinese Medicine, v. 2012, (2), pp. 1422-1427
Zhang, Nevin Lianwen; Xu, Zhaoxia; Wang, Yiqin; Liu, Tengfei; Liu, Guoping; Li, Fufeng; Yan, Haixia; Guo, Rui
Model-based multidimensional clustering of categorical data
Artificial intelligence, v. 176, (1), 2012, JAN, p. 2246-2269
Chen, Tao; Zhang, Nevin Lianwen; Liu, Tengfei; Poon, Kin Man; Wang, Yi
基于隐结构模型分析的心血管疾病中医问诊证候分类研究
中国中医药信息杂志, v.3, 2012.
许朝霞; 刘腾飞; 王忆勤; 张连文; 刘国萍; 燕海霞; 郭睿; 徐琎; 郝一鸣; 洪毓键
基于隐结构法的寻常型银屑病常见证候要素的研究
首都医科大学学报, v.33, (1), 2012. p.94-98
徐雯洁; 王天芳; 刘卫红; 吴秀艳; 张会娜; 张广中; 张连文; 姜春燕; 陈维文; 瞿 幸; 王 萍; 李 萍
基于隱結構模型分析的心血管疾病中醫問診證候分類研究
中国中医药信息杂志=Chinese Journal of Information on Traditional Chinese Medicine, v. 19, (3), 2012, p. 9
許朝霞; 劉騰飛; 王憶勤; 張連文; 劉國萍; 燕海霞; 郭睿; 徐琎; 郝一鳴; 洪毓鍵
隐树模型几个关键指标的辨证意义
中华中医药杂志=China Journal of Traditional Chinese Medicine and Pharmacy, v. 27, (5), 2012, p. 1241-1244
袁世宏; 張連文; 王天芳; 赵燕; 王庆国
隐结构分析与西医疾病的辨证分型（II）：综合聚类
世界科学技术-中医药现代化, v.14, (2), 2012, p.1422-1427
张连文; 许朝霞; 王忆勤; 刘腾飞; 刘国萍; 李福凤; 燕海霞; 郭睿

Conference paper 4

A Model-Based Approach to Rounding in Spectral Clustering
Uncertainty in Artificial Intelligence, Edity by Nando de Freitas, Kevin Murphy. USA : AUAI Press, 2012, p. 685-694
Poon, Leonard K.M.; Liu, Hua; Liu, Tengfei014546; Zhang, Nevin L.
A novel LTM-based method for multi-partition clustering
Proceedings of the 6th European Workshop on Probabilistic Graphical Models, (PGM-12), Granada, Spain 2012, 2012, p. 203-210
Liu, Tengfei; Zhang, Nevin Lianwen; Poon, Kin Man; Liu, Hua; Wang, Yi
Discovery of regularities in the use of herbs in traditional Chinese medicine prescriptions
New Frontiers in Applied Data Mining: PAKDD 2011 International Workshops Revised Selected Papers, Editors: Longbing Cao, Joshua Zhexue Huang, James Bailey, Yun Sing Koh, Jun Luo. Berlin, Heidelberg : Springer-Verlag, 2012, p. 353-360, Part of the Lecture Notes in Computer Science book series (LNCS, volume 7104)
Zhang, Nevin L.; Zhang, Runsun; Chen, Tao
Multidimensional Clustering Using Latent Feature Models for Consumer Segmentation and Forecasting
4th Annual American Business Research Conference, New York City, 4-5 Jun 2012
Cui, Geng; Zhang, Nevin L.; Wang, Ying


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Article 4

The Inception of TCM Syndrome Types in Human Cognitation and Dataming Methods for TCM Data
Journal of traditional chinese medicine, Vol 52, No 4, 284-287, 2011
Yuan, Shihong; Wang, Tianfang; Zhang, Nevin L.
中医证候的认知思路及其数据挖掘方法
中医杂志=Journal of Traditional Chinese Medicine, v. 2011, (04), 2011, p. 284-288
袁世宏; 王天芳; 張連文
基于隐结构法的慢性阻塞性肺疾病稳定期常见证候要素的研究
北京中医药大学学报=Journal of Beijing University of Traditional Chinese Medicine, v. 2011, (02), 2011, p. 82-86
徐雯潔; 王天芳; 王智瑜; 吳秀艷; 趙燕; 薛曉琳; 杜彩鳳; 張連文; 王燚; 于麗麗; 呂佳蒼; 王慶國
隐结构分析与西医疾病辨证分型(Ⅰ):基本原理
世界科學技術-中醫藥現代化 World Science and Technology-Modernization of Traditional Chinese Medicine, v. 13, (3), 2011, p. 498-502
Zhang, Nevin Lianwen; Yuan, Shihong; Wang, Tianfang; Zhao, Yan; Wang, Yi; Liu, Tengfei; Wang, Qingguo

Conference paper 4

Discovery of Regularities in the Use of Herbs in Traditional Chinese Medicine Prescriptions
AI-TCM Workshop, PAKDD2011, Shenzhen, China, May 24-27, 2011, 8 pages
Zhang, Nevin L.; Zhang, Runsun; Chen, Tao (Past PhD)
Fast multidimensional clustering of categorical data
CEUR Workshop Proceedings, v. 772, 2011, p. 19-30
Liu, Tengfei; Zhang, Nevin Lianwen; Poon, Kin Man; Wang, Yi; Liu, Hua
Latent tree classifier
Lecture Notes in Computer Science, v. 6717, 2011, p. 410-421
Wang, Y.; Zhang, N.L.; Chen, T.; Poon, L.K.M.
The role of operation granularity in search-based learning of latent tree models
Lecture Notes in Computer Science, v. 6797, 2011, p. 219-231
Chen, T.; Zhang, N.L.; Wang, Y.


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Article 2

Study on Pathogenesis of Type 2 Diabetes by the Latent Structural Model
World Science and Technology, v. 11, (4), August 2010, p. 516-521
Gong, Yanbing; Zhang, Lianwen; Gao, Sihua; Luo, Zenggang; Ni, Qing; Xie, Yanming
基于隐结构法的更年期综合征常见证候要素的研究
北京中医药大学学报=Journal of Beijing University of Traditional Chinese Medicine, v. 2010, (12), 2010, p. 856-860
杜彩鳳; 王天芳; 辛意; 李力; 任婕; 吳秀艷; 趙燕; 薛曉琳; 徐雯潔; 王智瑜; 張連文; 王慶國

Conference paper 4

Statistical truths in traditional Chinese medicine theories
2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010, 2010, p. 631-634
Zhang, N.L.; Yuan, S.
The Role of Operation Granularity in Search-Based Learning of Latent Tree Models
The First International Workshop on Advanced Methodologies for Bayesian Networks (AMBN 2010), November 18-19, Tokyo, 1 page & oral presentation, 2010
Chen, Tao; Zhang, Nevin L.; Wang, Yi
Using Bayesian Networks for Model-Based Multiple Clusterings: An Example of Exploratory Analysis on NBA Data
The First International Workshop on Advanced Methodologies for Bayesian Networks (AMBN 2010), November 18-19, Tokyo, 1 page & oral presentation, 2010
Poon, Kin Man; Zhang, Nevin L.; Chen, Tao; Liu, Tengfei; Wang, Yi
Variable selection in model-based clustering: To do or to facilitate
Proceedings of the 27th International Conference on Machine Learning, ICML 2010, 2010, p. 887-894
Poon, Leonard K.M.; Zhang, Nevin Lianwen; Chen, Tao; Wang, Yi


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Article 3

辨证理论的隐结构思想
北京中医药大学学报=Journal of Beijing University of Traditional Chinese Medicine, v. 32, (4), 2009, p. 221-225
袁世宏; 張連文; 杜彩鳳; 王天芳
隐结构模型及其在中医证候研究中的应用
北京中医药大学学报=Journal of Beijing University of Chinese Medicine, v. 32, (8), August 2009, p. 519-526
王天芳; 張連文; 趙燕; 王燚; 吳秀艷; 袁世宏; 王智瑜; 杜彩鳳; 徐雯潔; 于春光; 陳弢; 潘建文; 王慶國
隱結構模型對2型糖尿病病機規律的探討
世界科學技術：中醫藥現代化, v. 4, (4), 2009, p. 516-521
龔燕冰; 張連文; 高思華; 羅增剛; 倪青; 謝雁鳴


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Article 8

A rigorous carrier-based analytic model for undoped ultra-thin-body silicon-on-insulator (UTB-SOI) MOSFETs
Molecular simulation, v. 34, (1), 2008, p. 63-71
He, J.; Bian, W.; Chen, Y.; Wei, Y.; Zhang, L.; Zhang, J.; Chan, M.
Discovery of latent structures. Experience with the COIL Challenge 2000 data
Journal OF SYSTEMS science & COMPLEXITY, v. 21, (2), 2008, JUN, p. 172-183
Zhang, Nevin L.; Wang, Yi; Chen, Tao
Latent structure models and syndrome differentiation in traditional Chinese medicine (II): Analysis of Kidney Deficiency Data
Journal of Beijing University of Chinese Medicine, 31(9):584-587
Zhang, Nevin L.; Yuan, Shihong; Wang, Yi; Chen, Tao
Latent structure models and syndrome differentiation in traditional Chinese medicine (III): Model-based syndrome differentiation versus syndrome differentiation by experts
Journal of Beijing University of Chinese Medicine, 31(10):659-663
Yuan, Shihong; Zhang, Nevin L.; Chen, Tao; Wang, Yi
Latent tree models and approximate inference in Bayesian networks
Journal of artificial intelligence research, v. 32, 2008, p. 879-900
Wang, Yi; Zhang, Nevin Lianwen; Chen, Tao
Latent tree models and diagnosis in traditional Chinese medicine
Artificial intelligence in medicine, v. 42, (3), 2008, MAR, p. 229-245
Zhang, Nevin L.; Yuan, Shihong; Chen, Tao; Wang, Yi
Statistical validation of Traditional Chinese Medicine theories
Journal of alternative and complementary medicine, v. 14, (5), 2008, JUN, p. 583-587
Zhang, Nevin L.; Yuan, Shihong; Chen, Tao; Wang, Yi
隐结构模型与中医辨证研究(Ⅱ)肾虚数据分析
北京中医药大学学报=Journal of Beijing University of Traditional Chinese Medicine, v. 2008, (09), 2008, p. 584-587
張連文; 袁世宏; 陳弢; 王燚

Conference paper 2

Efficient Model Evaluation in the Search-Based Approach to Latent Structure Discovery
The Fourth European Workshop on Probabilistic Graphical Models (PGM-08), Hirtshals, Denmark September 17-19, 2008. pp., 57-64
Chen, Tao; Zhang, Nevin L.; Wang, Yi
Latent Tree Models and Approximate Inference in Bayesian Networks
Proceedings of the National Conference on Artificial Intelligence, v. 2, 2008, p. 1112-1118
Wang, Yi; Zhang, Nevin Lianwen; Chen, Tao


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Conference paper 3

Discovering latent structures: Experience with the coil challenge 2000 data set
Lecture Notes in Computer Science, v. 4490, (PART 4), 2007, p. 26-34
Zhang, N.L.
Discovery of Latent Structures: Experience with the CoIL Challenge 2000 Data Set
International Conference on Computational Science (ICCS 2007), May 27-30, 2007
Zhang, Nevin L.
Hierarchical latent class models and statistical foundation for traditional Chinese medicine
Lecture Notes in Computer Science, v. 4594, 2007, p. 139-143
Zhang, N.L.; Yuan, S.; Chen, T.; Wang, Y.


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Article 5

A coupling and crosstalk-considered timing-driven global routing algorithm for high-performance circuit design
Integration-the VLSI journal, v. 39, (4), 2006, JUL, p. 457-473
Xu, JY; Hong, XL; Jing, T.; Zhang, L.; Gu, J.
A Study of Bloodstasis Symptoms and Physical Signs Based on Latent Structure Models
World Science and Technology-Modernization of Traditional Chinese Medicine, v. 8, (66), 2006, p. 23-27
Wang, Jie; Li, Haixia; Wang, Yi; Zhang Nevin L; Yao Kuiwu
Integrated location management and location-aided routing system for mobile ad hoc networks
Journal of parallel and distributed computing, v. 66, (3), 2006, MAR, p. 367-378
Zhang, L.; Muppala, JK; Chanson, ST
Latent Structure Models and Diagnosis in Traditional Chinese Medicine (I):
Journal of Beijing University of Traditional Chinese Medicine, v.29, (6), p.365-369
Zhang, Nevin L.; Yuan, Shihong
隐结构模型与中医辨证研究（I）隐结构法的基本思想及隐结构分析工具
北京中医药大学学报=Journal of Beijing University of Traditional Chinese Medicine, v. 2006, (06), 2006, p. 365-369
張連文; 袁世宏

Book 1

贝叶斯网引论
贝叶斯网引论 / 张连文, 郭海鹏. 北京: 科学出版社, 2006
张连文; 郭海鹏

Conference paper 3

Quartet-Based Learning of Hierarchical Latent Class Models: Discovery of Shallow Latent Variables.
9th International Symposium on Artificial Intelligence and Mathematics. Fort Lauderdale, Florida, January 4-6, 2006.
Chen, Tao; Zhang, Nevin L.
Quartet-based learning of shallow latent variables
Third European Workshop on Probabilistic Graphical Model, 59-66 , September 12-15, 2006.
Chen, Tao; Zhang, Nevin L.
Severity of local maxima for the EM algorithm: experiences with hierarchical latent class models
The Third European Workshop on Probabilistic Graphical Models, 301-308, September 12-15, 2006.
Wang, Yi; Zhang, Nevin L.


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Article 2

Effective dimensions of partially observed polytrees
International journal of approximate reasoning, v. 38, (3), 2005, MAR, p. 311-332
Tao, C.; Kocka, T.; Zhang, NL
Restricted value iteration: Theory and algorithms
Journal of artificial intelligence research, v. 23, 2005, p. 123-165
Zhang, WH; Zhang, NL

Conference paper 1

Discriminant analysis with tensor representation
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005; San Diego, CA; United States, v. 1, 20 June 2005 through 25 June 2005; Category numberP2372; Code 65595, Pages 526-532
Yan, Shuicheng; Xu, Dong; Yang, Qiang; Zhang, Lei; Tang, Xiaoou; Zhang, Hongjiang


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Article 4

Effective dimensions of hierarchical latent class models
Journal of artificial intelligence research, v. 21, 2004, p. 1-17
Zhang, NL; Kocka, T.
Hierarchical latent class models for cluster analysis
Journal of Machine Learning Research, v. 5, June 2004, p. 697-723
Zhang, Nevin L
Latent variable discovery in classification models
Artificial intelligence in medicine, v. 30, (3), 2004, MAR, p. 283-299
Zhang, NL; Nielsen, TD; Jensen, FV
数理统计思想及方法在辩证规范化研究中的应用及思考
中国中医基础医学杂志=Chinese Journal of Basic Medicine in Traditional Chinese Medicine, v. 2004, (04), 2004, p. 15-18+21
袁世宏; 張連文; 王米渠

Conference paper 2

Efficient learning of hierarchical latent class models
Proceedings - International Conference on Tools with Artificial Intelligence, TAI, 2004, p. 585-593
Zhang, NL; Kocka, T.
Reinforcement learning in episodic non-stationary markovian environments
Proceedings of the International Conference on Artificial Intelligence, IC-AI'04, v. 2, 2004, p. 752-758
Choi, S.P.M.; Zhang, N.L.; Yeung, D.Y.


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Article 1

Exploiting contextual independence in probabilistic inference
Journal of artificial intelligence research, v. 18, 2003, p. 263-313
Poole, David; Zhang, Nevin Lianwen

Book 1

Symbolic and Quantitative Approaches to Reasoning with Uncertainty: Proceedings of the 7th European Conference
Springer.
Nielsen, Thomas D.; Zhang, Nevin L.

Conference paper 1

MAPS - A generalized scheme for quality of service routing under delay-bandwidth constraints
International Conference on Computer Communications & Networks (ICCCN), 2003, p. 491-496
Zhang, L.; Mupala, JK; Chanson, ST


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Conference paper 4

Dimension correction for hierarchical latent class models
Proc. of the 18th Conference on Uncertainty in Artificial Intelligenc (UAI-02), 1-4,August 2002, p. 267-274
Kocka, Tomas; Zhang, Nevin L.
Hierarchical latent class models for cluster analysis
Proceedings of the National Conference on Artificial Intelligence, 2002, p. 230-237
Zhang, N.L.
Multi-model approach to non-stationary reinforcement learning
Sixth IASTED International Conference on Artificial Intelligence and Soft Computing, Banff, Canada, 17-19 July, pp. 350-355
Choi, Samuel P.M.; Yeung, Dit-Yan; Zhang, Nevin L.
Value iteration working with belief subset
Proceedings of the National Conference on Artificial Intelligence, 2002, p. 307-312
Zhang, W.; Zhang, N.L.


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Article 2

Inference in Bayesian networks: The role of context-specific independence
International Journal of Information Technology and Decision Making, 1(1), 91-119
Zhang, Nevin Lianwen
Speeding up the convergence of value iteration in partially observable Markov decision processes
Journal of artificial intelligence research, v. 14, 2001, p. 29-51
Zhang, NL; Zhang, WH

Book chapter 1

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

Conference paper 3

An alternative formulation of dynamic programming updates for POMDPs
Proc. of the 7th International Symposium on Artificial Intelligence and Mathematics, 2-4 January, Fort Lauderdale, Florida
Zhang, Weihong; Zhang, Nevin L.
Solving hidden-mode Markov decision problems
Proceedings of Machine Learning Research, v. R3, 2001, p. 49-56
Choi, Ping Man Samuel; Zhang, Nevin Lianwen; Yeung, Dit Yan
Space-progressive value iteration: An anytime algorithm for a class of POMDPs
Proc. of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 72-83
Zhang, Nevin Lianwen; Zhang, Weihong


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Conference paper 2

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


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Article 1

A Distributed Search System Based on Markov Decision Processes
Lecture Notes in Computer Science, v. 1749, 1999, p. 73-82
Shen, Yipeng; Lee, Dik Lun; Zhang, Nevin Lianwen

Conference paper 3

A method for speeding up value iteration in partially observable Markov decision processes
UNCERTAINTY IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 1999, p. 696-703
Zhang, NL; Lee, SS; Zhang, WH
Hidden-mode Markov decision processes
Proceedings of the 16th international joint conference on artificial intelligence (IJCAI-99), workshop on neural symbolic, and reinforcement methods for sequence learning, Stockholm, Sweden, 1999, p. 9-14
Choi, Samuel P.M.; Yeung, Dit-Yan; Zhang, Nevin Lianwen
On the role of context-specific independence in probabilistic inference
16th International Joint Conference on Artificial Intelligence, IJCAI 1999, Stockholm, Sweden, v.1, 1999, p. 1288-1293
Zhang, Nevin L.; Poole, D.


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Article 4

Computational properties of two exact algorithms for Bayesian networks
Applied intelligence, v. 9, (2), 1998, September, p. 173-183
Zhang, NL
Context-specific Independence, Decomposition of Conditional Probabilities, and Inference in Bayesian Networks
Lecture Notes in Artificial Intelligence, v. 1531, 1998, p. 411-423
Zhang, Nevin L
Independence of causal influence and clique tree propagation
International journal of approximate reasoning, v. 19, (3-4), 1998, OCT-NOV, p. 335-349
Zhang, NL; Yan, L.
Probabilistic inference in influence diagrams
Computational intelligence, v. 14, (4), 1998, NOV, p. 475-497
Zhang, NL


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Article 1

A model approximation scheme for planning in partially observable stochastic domains
Journal of artificial intelligence research, v. 7, 1997, p. 199-230
Zhang, NL; Liu, WJ


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Article 2

Exploiting causal independence in Bayesian network inference
Journal of artificial intelligence research, v. 5, 1996, p. 301-328
Zhang, NL; Poole, D.
Irrelevance and parameter learning in Bayesian networks
Artificial intelligence, v. 88, (1-2), 1996, DEC, p. 359-373
Zhang, NLW


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Conference paper 1

Inference with causal independence in the CPSC network
Proc. of the Eleventh Conference on Uncertainties in Artificial Intelligence, 1995, p. 582-590
Zhang, Nevin L.


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Article 1

A COMPUTATIONAL THEORY OF DECISION NETWORKS
International journal of approximate reasoning, v. 11, (2), 1994, AUG, p. 83-158
ZHANG, NLW; QI, RP; POOLE, D.

Book chapter 2

Minimizing decision tables in influence diagrams
Selecting Models from Data : Artificial Intelligence and Statistics IV / Edited by P. Cheeseman, R.W. Oldford. Springer-Verlag, 1994
Zhang, Nevin L.; Qi, R.; Poole, D.
Representation, independence, and combination of evidence in the Dempster-Shafer theory
Advances in the Dempster-Shafer Theory of Evidence / Edited by M. Fedrizzi. New York: John Wiley & Sons, Inc., 1994, p. 51-95
Zhang, Nevin L.

Conference paper 3

A simple approach to Bayesian network computations
Proc. of the Tenth Canadian Conference on Artificial Intelligence, 1994, p. 171-178
Zhang, Nevin L.; Poole, D.
Removable arcs in stepwise-decomposable decision networks
Proc of the Third International Symposium on Artificial Intelligence and Mathematics, 1994, p. 423-431
Zhang, Nevin L.; Poole, D.
Solving asymmetric decision problems with influence diagrams
Proc. of the Tenth Conference on Uncertainties in Artificial Intelligence, July 29-31 1994
Qi, R.; Zhang, Nevin L.; Poole, D.


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Article 2

Structural and functional quantization of vagueness
Fuzzy Sets and Systems, v. 55, 1993, p. 51-60
Zhang, Nevin L.
Studies on hypergraphs: (I) Hyperforests
Discrete Applied Mathematics, v. 42, 1993, p. 95-112
Zhang, Nevin L.

Conference paper 1

Incremental computation of the value of perfect information in stepwise-decomposable influence diagrams
Proc. of the Ninth International Conference on Uncertainty in Artificial Intelligence, 1993, p. 400-410
Zhang, Nevin L.; Qi, R.; Poole, D.


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Conference paper 2

Sidestepping the Triangulation Problem in Bayesian Net Computations
Proc. of the Eighth Conference on Uncertainties in Artificial Intelligence, 1992, p. 360-367
Zhang, Nevin L.; Poole, D.
Stepwise-decomposable influence diagrams
Proc. of the Third Conference on Knowledge representation, 1992, p. 141-152
Zhang, Nevin L.; Qi, R.; Poole, D.


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Article 1

Weights of evidence and internal conflict for support functions
Information Sciences, v. 38, 1986, p. 205-212
Zhang, Nevin L.


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2016 2

Identification of Chinese medicine syndromes in persistent insomnia associated with major depressive disorder: a latent tree analysis
Chinese Medicine (United Kingdom), v. 11, (1), February 2016, article number 4
Yeung, Wingfai; Chung, Ka-Fai; Zhang, Nevin Lian Wen; Zhang, Shiping; Yung, Kamping; Chen, Peixian; Ho, Yanyee Article
Progressive EM for Latent Tree Models and Hierarchical Topic Detection
Proceedings of the AAAI Conference on Artificial Intelligence, v. 30, (1), 2016, article number 10196, p. 1498-1504
Chen, Peixian; Zhang, Nevin Lianwen; Poon, Leonard K.M.; Chen, Zhourong Conference paper

2015 3

Greedy learning of latent tree models for multidimensional clustering
Machine learning, v. 98, (1-2), January 2015, p. 301-330
Liu, Tengfei; Zhang, Nevin Lianwen; Chen, Peixian; Liu, April Hua; Poon, Leonard, K.M.; Wang, Yi Article
Bayesian Adaptive Matrix Factorization with Automatic Model Selection
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, v. 07-12-June-2015, October 2015, article number 7298733, p. 1284-1292
Chen, Peixian; Wang, Naiyan; Zhang, Nevin Lianwen; Yeung, Dit Yan Conference paper
Unidimensional Clustering of Discrete Data using Latent Tree Models
Proceedings of the AAAI Conference on Artificial Intelligence, v. 29, (1), 2015, article number 9593, p. 2771-2777
Liu, Hua; Poon, Kin Man; Zhang, Nevin Lianwen Conference paper

2014 7

Discovering Symptom Co-Occurrence Patterns from 604 Cases of Depressive Patient Data Using Latent Tree Models
Journal of Alternative and Complementary Medicine, v. 20, (4), April 2014, p. 265-271
Zhao, Yan; Zhang, Nevin Lainwen; Wang, Tianfang; Wang, Qingguo Article
Latent Structure Analysis and Syndrome Differentiation for Integration of Traditional Chinese Medicine and Western Medicine (III)：Establishment of Classification Rules
World Science and Technology-Modernization of Traditional Chinese Medicine, (4), 2014, p. 723-730
Zhang, Nevin Lianwen; Fu, Chen; Liu, Tengfei; Chen, Baoxing; Liu, Hua; Zhang, Yunling Article
Latent tree models for rounding in spectral clustering
Neurocomputing, v. 144, November 2014, p. 448-462
Liu, April Hua; Poon, Leonard K.M.; Liu, Teng-Fei; Zhang, Nevin Lianwen Article
Statistical Validation of TCM Syndrome Postulates in the Context of Depressive Patients
Data Analytics for Traditional Chinese Medicine Research / Edited by Josiah Poon, Simon K. Poon. Switzerland : Springer International Publishing, 2014, p. 111-121
Zhao, Yan; Zhang, Nevin L.; Wang, Tianfang; Wang, Qingguo; Liu, Tengfei Book chapter
A study of recently discovered equalities about latent tree models using inverse edges
Probabilistic Graphical Models: 7th European Workshop, PGM 2014, Utrecht, The Netherlands, September 17-19, 2014: Proceedings, Edited by Linda C. van der Gaag, Ad J. Feelders. Switzerland : Springer International Publishing, 2014, p. 567-580
Zhang, Nevin Lianwen; Wang, Xiaofei; Chen, Peixian Conference paper
Hierarchical latent tree analysis for topic detection
Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part II, Edited by Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo. Heidelberg : Springer-Verlag, 2014, p. 256-272
Liu, Tengfei; Zhang, Nevin Lianwen; Chen, Peixian Conference paper
Solving informative partially observable Markov decision processes
Proceedings of the sixth European Conference on Planning / Edited by Amedeo Cesta and Daniel Borrajo. AAAI Press, 2014
Zhang, Weihong; Zhang, Nevin Lianwen Conference paper

2013 4

A Survey on Latent Tree Models and Applications
Journal of Artificial Intelligence Research, v. 47, 2013, p. 157-203
Mourad, Raphael; Sinoquet, Christine; Zhang, Nevin Lianwen; Liu, Tengfei; Leray, Philippe Article
LTC: A Latent Tree Approach to Classification
International journal of approximate reasoning, v. 54, (4), June 2013, p. 560-572
Wang, Yi; Zhang, Nevin Lianwen; Chen, Tao; Poon, Leonard K.M. Article
Model-based clustering of high-dimensional data: Variable selection versus facet determination
International Journal of Approximate Reasoning, v. 54, (1), January 2013, p. 196-215
Poon, Leonard Kin Man; Zhang, Nevin Lianwen; Liu, Tengfei; Liu, April Hua Article
Statistical Validation of Traditional Chinese Medicine Syndrome Postulates in the Context of Patients with Cardiovascular Disease
The Journal of Alternative and Complementary Medicine, v.19, (10), October 2013, p. 799-804
Xu, zhaoxia; Zhang, Nevin Lianwen; Wang, Yiqin; Liu, Guoping; Xu, Jin; Liu, Tengfei; Liu, Hua Article

2012 12

Discovery of Regularities in the Use of Herbs in Chinese Medicine Prescriptions
Chinese Journal of Integrative Medicine, v. 18, (2), February 2012, p. 88-92
Chen, Tao; Zhou, Xue-zhong; Zhang, Run-shun; Zhang, Nevin L. Article
Latent Structure Analysis and Syndrome Differentiation for the Integration of Traditional Chinese and Western Medicine (II): Joint Clustering
World Science and Technology-Modernization of Traditional Chinese Medicine, v. 2012, (2), pp. 1422-1427
Zhang, Nevin Lianwen; Xu, Zhaoxia; Wang, Yiqin; Liu, Tengfei; Liu, Guoping; Li, Fufeng; Yan, Haixia; Guo, Rui Article
Model-based multidimensional clustering of categorical data
Artificial intelligence, v. 176, (1), 2012, JAN, p. 2246-2269
Chen, Tao; Zhang, Nevin Lianwen; Liu, Tengfei; Poon, Kin Man; Wang, Yi Article
基于隐结构模型分析的心血管疾病中医问诊证候分类研究
中国中医药信息杂志, v.3, 2012.
许朝霞; 刘腾飞; 王忆勤; 张连文; 刘国萍; 燕海霞; 郭睿; 徐琎; 郝一鸣; 洪毓键 Article
基于隐结构法的寻常型银屑病常见证候要素的研究
首都医科大学学报, v.33, (1), 2012. p.94-98
徐雯洁; 王天芳; 刘卫红; 吴秀艳; 张会娜; 张广中; 张连文; 姜春燕; 陈维文; 瞿 幸; 王 萍; 李 萍 Article
基于隱結構模型分析的心血管疾病中醫問診證候分類研究
中国中医药信息杂志=Chinese Journal of Information on Traditional Chinese Medicine, v. 19, (3), 2012, p. 9
許朝霞; 劉騰飛; 王憶勤; 張連文; 劉國萍; 燕海霞; 郭睿; 徐琎; 郝一鳴; 洪毓鍵 Article
隐树模型几个关键指标的辨证意义
中华中医药杂志=China Journal of Traditional Chinese Medicine and Pharmacy, v. 27, (5), 2012, p. 1241-1244
袁世宏; 張連文; 王天芳; 赵燕; 王庆国 Article
隐结构分析与西医疾病的辨证分型（II）：综合聚类
世界科学技术-中医药现代化, v.14, (2), 2012, p.1422-1427
张连文; 许朝霞; 王忆勤; 刘腾飞; 刘国萍; 李福凤; 燕海霞; 郭睿 Article
A Model-Based Approach to Rounding in Spectral Clustering
Uncertainty in Artificial Intelligence, Edity by Nando de Freitas, Kevin Murphy. USA : AUAI Press, 2012, p. 685-694
Poon, Leonard K.M.; Liu, Hua; Liu, Tengfei014546; Zhang, Nevin L. Conference paper
A novel LTM-based method for multi-partition clustering
Proceedings of the 6th European Workshop on Probabilistic Graphical Models, (PGM-12), Granada, Spain 2012, 2012, p. 203-210
Liu, Tengfei; Zhang, Nevin Lianwen; Poon, Kin Man; Liu, Hua; Wang, Yi Conference paper
Discovery of regularities in the use of herbs in traditional Chinese medicine prescriptions
New Frontiers in Applied Data Mining: PAKDD 2011 International Workshops Revised Selected Papers, Editors: Longbing Cao, Joshua Zhexue Huang, James Bailey, Yun Sing Koh, Jun Luo. Berlin, Heidelberg : Springer-Verlag, 2012, p. 353-360, Part of the Lecture Notes in Computer Science book series (LNCS, volume 7104)
Zhang, Nevin L.; Zhang, Runsun; Chen, Tao Conference paper
Multidimensional Clustering Using Latent Feature Models for Consumer Segmentation and Forecasting
4th Annual American Business Research Conference, New York City, 4-5 Jun 2012
Cui, Geng; Zhang, Nevin L.; Wang, Ying Conference paper

2011 8

The Inception of TCM Syndrome Types in Human Cognitation and Dataming Methods for TCM Data
Journal of traditional chinese medicine, Vol 52, No 4, 284-287, 2011
Yuan, Shihong; Wang, Tianfang; Zhang, Nevin L. Article
中医证候的认知思路及其数据挖掘方法
中医杂志=Journal of Traditional Chinese Medicine, v. 2011, (04), 2011, p. 284-288
袁世宏; 王天芳; 張連文 Article
基于隐结构法的慢性阻塞性肺疾病稳定期常见证候要素的研究
北京中医药大学学报=Journal of Beijing University of Traditional Chinese Medicine, v. 2011, (02), 2011, p. 82-86
徐雯潔; 王天芳; 王智瑜; 吳秀艷; 趙燕; 薛曉琳; 杜彩鳳; 張連文; 王燚; 于麗麗; 呂佳蒼; 王慶國 Article
隐结构分析与西医疾病辨证分型(Ⅰ):基本原理
世界科學技術-中醫藥現代化 World Science and Technology-Modernization of Traditional Chinese Medicine, v. 13, (3), 2011, p. 498-502
Zhang, Nevin Lianwen; Yuan, Shihong; Wang, Tianfang; Zhao, Yan; Wang, Yi; Liu, Tengfei; Wang, Qingguo Article
Discovery of Regularities in the Use of Herbs in Traditional Chinese Medicine Prescriptions
AI-TCM Workshop, PAKDD2011, Shenzhen, China, May 24-27, 2011, 8 pages
Zhang, Nevin L.; Zhang, Runsun; Chen, Tao (Past PhD) Conference paper
Fast multidimensional clustering of categorical data
CEUR Workshop Proceedings, v. 772, 2011, p. 19-30
Liu, Tengfei; Zhang, Nevin Lianwen; Poon, Kin Man; Wang, Yi; Liu, Hua Conference paper
Latent tree classifier
Lecture Notes in Computer Science, v. 6717, 2011, p. 410-421
Wang, Y.; Zhang, N.L.; Chen, T.; Poon, L.K.M. Conference paper
The role of operation granularity in search-based learning of latent tree models
Lecture Notes in Computer Science, v. 6797, 2011, p. 219-231
Chen, T.; Zhang, N.L.; Wang, Y. Conference paper

2010 6

Study on Pathogenesis of Type 2 Diabetes by the Latent Structural Model
World Science and Technology, v. 11, (4), August 2010, p. 516-521
Gong, Yanbing; Zhang, Lianwen; Gao, Sihua; Luo, Zenggang; Ni, Qing; Xie, Yanming Article
基于隐结构法的更年期综合征常见证候要素的研究
北京中医药大学学报=Journal of Beijing University of Traditional Chinese Medicine, v. 2010, (12), 2010, p. 856-860
杜彩鳳; 王天芳; 辛意; 李力; 任婕; 吳秀艷; 趙燕; 薛曉琳; 徐雯潔; 王智瑜; 張連文; 王慶國 Article
Statistical truths in traditional Chinese medicine theories
2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010, 2010, p. 631-634
Zhang, N.L.; Yuan, S. Conference paper
The Role of Operation Granularity in Search-Based Learning of Latent Tree Models
The First International Workshop on Advanced Methodologies for Bayesian Networks (AMBN 2010), November 18-19, Tokyo, 1 page & oral presentation, 2010
Chen, Tao; Zhang, Nevin L.; Wang, Yi Conference paper
Using Bayesian Networks for Model-Based Multiple Clusterings: An Example of Exploratory Analysis on NBA Data
The First International Workshop on Advanced Methodologies for Bayesian Networks (AMBN 2010), November 18-19, Tokyo, 1 page & oral presentation, 2010
Poon, Kin Man; Zhang, Nevin L.; Chen, Tao; Liu, Tengfei; Wang, Yi Conference paper
Variable selection in model-based clustering: To do or to facilitate
Proceedings of the 27th International Conference on Machine Learning, ICML 2010, 2010, p. 887-894
Poon, Leonard K.M.; Zhang, Nevin Lianwen; Chen, Tao; Wang, Yi Conference paper

2009 3

辨证理论的隐结构思想
北京中医药大学学报=Journal of Beijing University of Traditional Chinese Medicine, v. 32, (4), 2009, p. 221-225
袁世宏; 張連文; 杜彩鳳; 王天芳 Article
隐结构模型及其在中医证候研究中的应用
北京中医药大学学报=Journal of Beijing University of Chinese Medicine, v. 32, (8), August 2009, p. 519-526
王天芳; 張連文; 趙燕; 王燚; 吳秀艷; 袁世宏; 王智瑜; 杜彩鳳; 徐雯潔; 于春光; 陳弢; 潘建文; 王慶國 Article
隱結構模型對2型糖尿病病機規律的探討
世界科學技術：中醫藥現代化, v. 4, (4), 2009, p. 516-521
龔燕冰; 張連文; 高思華; 羅增剛; 倪青; 謝雁鳴 Article

2008 10

A rigorous carrier-based analytic model for undoped ultra-thin-body silicon-on-insulator (UTB-SOI) MOSFETs
Molecular simulation, v. 34, (1), 2008, p. 63-71
He, J.; Bian, W.; Chen, Y.; Wei, Y.; Zhang, L.; Zhang, J.; Chan, M. Article
Discovery of latent structures. Experience with the COIL Challenge 2000 data
Journal OF SYSTEMS science & COMPLEXITY, v. 21, (2), 2008, JUN, p. 172-183
Zhang, Nevin L.; Wang, Yi; Chen, Tao Article
Latent structure models and syndrome differentiation in traditional Chinese medicine (II): Analysis of Kidney Deficiency Data
Journal of Beijing University of Chinese Medicine, 31(9):584-587
Zhang, Nevin L.; Yuan, Shihong; Wang, Yi; Chen, Tao Article
Latent structure models and syndrome differentiation in traditional Chinese medicine (III): Model-based syndrome differentiation versus syndrome differentiation by experts
Journal of Beijing University of Chinese Medicine, 31(10):659-663
Yuan, Shihong; Zhang, Nevin L.; Chen, Tao; Wang, Yi Article
Latent tree models and approximate inference in Bayesian networks
Journal of artificial intelligence research, v. 32, 2008, p. 879-900
Wang, Yi; Zhang, Nevin Lianwen; Chen, Tao Article
Latent tree models and diagnosis in traditional Chinese medicine
Artificial intelligence in medicine, v. 42, (3), 2008, MAR, p. 229-245
Zhang, Nevin L.; Yuan, Shihong; Chen, Tao; Wang, Yi Article
Statistical validation of Traditional Chinese Medicine theories
Journal of alternative and complementary medicine, v. 14, (5), 2008, JUN, p. 583-587
Zhang, Nevin L.; Yuan, Shihong; Chen, Tao; Wang, Yi Article
隐结构模型与中医辨证研究(Ⅱ)肾虚数据分析
北京中医药大学学报=Journal of Beijing University of Traditional Chinese Medicine, v. 2008, (09), 2008, p. 584-587
張連文; 袁世宏; 陳弢; 王燚 Article
Efficient Model Evaluation in the Search-Based Approach to Latent Structure Discovery
The Fourth European Workshop on Probabilistic Graphical Models (PGM-08), Hirtshals, Denmark September 17-19, 2008. pp., 57-64
Chen, Tao; Zhang, Nevin L.; Wang, Yi Conference paper
Latent Tree Models and Approximate Inference in Bayesian Networks
Proceedings of the National Conference on Artificial Intelligence, v. 2, 2008, p. 1112-1118
Wang, Yi; Zhang, Nevin Lianwen; Chen, Tao Conference paper

2007 3

Discovering latent structures: Experience with the coil challenge 2000 data set
Lecture Notes in Computer Science, v. 4490, (PART 4), 2007, p. 26-34
Zhang, N.L. Conference paper
Discovery of Latent Structures: Experience with the CoIL Challenge 2000 Data Set
International Conference on Computational Science (ICCS 2007), May 27-30, 2007
Zhang, Nevin L. Conference paper
Hierarchical latent class models and statistical foundation for traditional Chinese medicine
Lecture Notes in Computer Science, v. 4594, 2007, p. 139-143
Zhang, N.L.; Yuan, S.; Chen, T.; Wang, Y. Conference paper

2006 9

A coupling and crosstalk-considered timing-driven global routing algorithm for high-performance circuit design
Integration-the VLSI journal, v. 39, (4), 2006, JUL, p. 457-473
Xu, JY; Hong, XL; Jing, T.; Zhang, L.; Gu, J. Article
A Study of Bloodstasis Symptoms and Physical Signs Based on Latent Structure Models
World Science and Technology-Modernization of Traditional Chinese Medicine, v. 8, (66), 2006, p. 23-27
Wang, Jie; Li, Haixia; Wang, Yi; Zhang Nevin L; Yao Kuiwu Article
Integrated location management and location-aided routing system for mobile ad hoc networks
Journal of parallel and distributed computing, v. 66, (3), 2006, MAR, p. 367-378
Zhang, L.; Muppala, JK; Chanson, ST Article
Latent Structure Models and Diagnosis in Traditional Chinese Medicine (I):
Journal of Beijing University of Traditional Chinese Medicine, v.29, (6), p.365-369
Zhang, Nevin L.; Yuan, Shihong Article
隐结构模型与中医辨证研究（I）隐结构法的基本思想及隐结构分析工具
北京中医药大学学报=Journal of Beijing University of Traditional Chinese Medicine, v. 2006, (06), 2006, p. 365-369
張連文; 袁世宏 Article
贝叶斯网引论
贝叶斯网引论 / 张连文, 郭海鹏. 北京: 科学出版社, 2006
张连文; 郭海鹏 Book
Quartet-Based Learning of Hierarchical Latent Class Models: Discovery of Shallow Latent Variables.
9th International Symposium on Artificial Intelligence and Mathematics. Fort Lauderdale, Florida, January 4-6, 2006.
Chen, Tao; Zhang, Nevin L. Conference paper
Quartet-based learning of shallow latent variables
Third European Workshop on Probabilistic Graphical Model, 59-66 , September 12-15, 2006.
Chen, Tao; Zhang, Nevin L. Conference paper
Severity of local maxima for the EM algorithm: experiences with hierarchical latent class models
The Third European Workshop on Probabilistic Graphical Models, 301-308, September 12-15, 2006.
Wang, Yi; Zhang, Nevin L. Conference paper

2005 3

Effective dimensions of partially observed polytrees
International journal of approximate reasoning, v. 38, (3), 2005, MAR, p. 311-332
Tao, C.; Kocka, T.; Zhang, NL Article
Restricted value iteration: Theory and algorithms
Journal of artificial intelligence research, v. 23, 2005, p. 123-165
Zhang, WH; Zhang, NL Article
Discriminant analysis with tensor representation
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005; San Diego, CA; United States, v. 1, 20 June 2005 through 25 June 2005; Category numberP2372; Code 65595, Pages 526-532
Yan, Shuicheng; Xu, Dong; Yang, Qiang; Zhang, Lei; Tang, Xiaoou; Zhang, Hongjiang Conference paper

2004 6

Effective dimensions of hierarchical latent class models
Journal of artificial intelligence research, v. 21, 2004, p. 1-17
Zhang, NL; Kocka, T. Article
Hierarchical latent class models for cluster analysis
Journal of Machine Learning Research, v. 5, June 2004, p. 697-723
Zhang, Nevin L Article
Latent variable discovery in classification models
Artificial intelligence in medicine, v. 30, (3), 2004, MAR, p. 283-299
Zhang, NL; Nielsen, TD; Jensen, FV Article
数理统计思想及方法在辩证规范化研究中的应用及思考
中国中医基础医学杂志=Chinese Journal of Basic Medicine in Traditional Chinese Medicine, v. 2004, (04), 2004, p. 15-18+21
袁世宏; 張連文; 王米渠 Article
Efficient learning of hierarchical latent class models
Proceedings - International Conference on Tools with Artificial Intelligence, TAI, 2004, p. 585-593
Zhang, NL; Kocka, T. Conference paper
Reinforcement learning in episodic non-stationary markovian environments
Proceedings of the International Conference on Artificial Intelligence, IC-AI'04, v. 2, 2004, p. 752-758
Choi, S.P.M.; Zhang, N.L.; Yeung, D.Y. Conference paper

2003 3

Exploiting contextual independence in probabilistic inference
Journal of artificial intelligence research, v. 18, 2003, p. 263-313
Poole, David; Zhang, Nevin Lianwen Article
Symbolic and Quantitative Approaches to Reasoning with Uncertainty: Proceedings of the 7th European Conference
Springer.
Nielsen, Thomas D.; Zhang, Nevin L. Book
MAPS - A generalized scheme for quality of service routing under delay-bandwidth constraints
International Conference on Computer Communications & Networks (ICCCN), 2003, p. 491-496
Zhang, L.; Mupala, JK; Chanson, ST Conference paper

2002 4

Dimension correction for hierarchical latent class models
Proc. of the 18th Conference on Uncertainty in Artificial Intelligenc (UAI-02), 1-4,August 2002, p. 267-274
Kocka, Tomas; Zhang, Nevin L. Conference paper
Hierarchical latent class models for cluster analysis
Proceedings of the National Conference on Artificial Intelligence, 2002, p. 230-237
Zhang, N.L. Conference paper
Multi-model approach to non-stationary reinforcement learning
Sixth IASTED International Conference on Artificial Intelligence and Soft Computing, Banff, Canada, 17-19 July, pp. 350-355
Choi, Samuel P.M.; Yeung, Dit-Yan; Zhang, Nevin L. Conference paper
Value iteration working with belief subset
Proceedings of the National Conference on Artificial Intelligence, 2002, p. 307-312
Zhang, W.; Zhang, N.L. Conference paper

2001 6

Inference in Bayesian networks: The role of context-specific independence
International Journal of Information Technology and Decision Making, 1(1), 91-119
Zhang, Nevin Lianwen Article
Speeding up the convergence of value iteration in partially observable Markov decision processes
Journal of artificial intelligence research, v. 14, 2001, p. 29-51
Zhang, NL; Zhang, WH Article
Hidden-mode Markov decision processes for nonstationary sequential decision making
In Sequence Learning: Paradigms, Algorithms, and Applications / R.Sun & C.L. Giles (eds.). Springer-Verlag, 2001, p. 264-287
Choi, Samuel; Yeung, Dit Yan; Zhang, Nevin L. Book chapter
An alternative formulation of dynamic programming updates for POMDPs
Proc. of the 7th International Symposium on Artificial Intelligence and Mathematics, 2-4 January, Fort Lauderdale, Florida
Zhang, Weihong; Zhang, Nevin L. Conference paper
Solving hidden-mode Markov decision problems
Proceedings of Machine Learning Research, v. R3, 2001, p. 49-56
Choi, Ping Man Samuel; Zhang, Nevin Lianwen; Yeung, Dit Yan Conference paper
Space-progressive value iteration: An anytime algorithm for a class of POMDPs
Proc. of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 72-83
Zhang, Nevin Lianwen; Zhang, Weihong Conference paper

2000 2

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

1999 4

A Distributed Search System Based on Markov Decision Processes
Lecture Notes in Computer Science, v. 1749, 1999, p. 73-82
Shen, Yipeng; Lee, Dik Lun; Zhang, Nevin Lianwen Article
A method for speeding up value iteration in partially observable Markov decision processes
UNCERTAINTY IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 1999, p. 696-703
Zhang, NL; Lee, SS; Zhang, WH Conference paper
Hidden-mode Markov decision processes
Proceedings of the 16th international joint conference on artificial intelligence (IJCAI-99), workshop on neural symbolic, and reinforcement methods for sequence learning, Stockholm, Sweden, 1999, p. 9-14
Choi, Samuel P.M.; Yeung, Dit-Yan; Zhang, Nevin Lianwen Conference paper
On the role of context-specific independence in probabilistic inference
16th International Joint Conference on Artificial Intelligence, IJCAI 1999, Stockholm, Sweden, v.1, 1999, p. 1288-1293
Zhang, Nevin L.; Poole, D. Conference paper

1998 4

Computational properties of two exact algorithms for Bayesian networks
Applied intelligence, v. 9, (2), 1998, September, p. 173-183
Zhang, NL Article
Context-specific Independence, Decomposition of Conditional Probabilities, and Inference in Bayesian Networks
Lecture Notes in Artificial Intelligence, v. 1531, 1998, p. 411-423
Zhang, Nevin L Article
Independence of causal influence and clique tree propagation
International journal of approximate reasoning, v. 19, (3-4), 1998, OCT-NOV, p. 335-349
Zhang, NL; Yan, L. Article
Probabilistic inference in influence diagrams
Computational intelligence, v. 14, (4), 1998, NOV, p. 475-497
Zhang, NL Article

1997 1

A model approximation scheme for planning in partially observable stochastic domains
Journal of artificial intelligence research, v. 7, 1997, p. 199-230
Zhang, NL; Liu, WJ Article

1996 2

Exploiting causal independence in Bayesian network inference
Journal of artificial intelligence research, v. 5, 1996, p. 301-328
Zhang, NL; Poole, D. Article
Irrelevance and parameter learning in Bayesian networks
Artificial intelligence, v. 88, (1-2), 1996, DEC, p. 359-373
Zhang, NLW Article

1995 1

Inference with causal independence in the CPSC network
Proc. of the Eleventh Conference on Uncertainties in Artificial Intelligence, 1995, p. 582-590
Zhang, Nevin L. Conference paper

1994 6

A COMPUTATIONAL THEORY OF DECISION NETWORKS
International journal of approximate reasoning, v. 11, (2), 1994, AUG, p. 83-158
ZHANG, NLW; QI, RP; POOLE, D. Article
Minimizing decision tables in influence diagrams
Selecting Models from Data : Artificial Intelligence and Statistics IV / Edited by P. Cheeseman, R.W. Oldford. Springer-Verlag, 1994
Zhang, Nevin L.; Qi, R.; Poole, D. Book chapter
Representation, independence, and combination of evidence in the Dempster-Shafer theory
Advances in the Dempster-Shafer Theory of Evidence / Edited by M. Fedrizzi. New York: John Wiley & Sons, Inc., 1994, p. 51-95
Zhang, Nevin L. Book chapter
A simple approach to Bayesian network computations
Proc. of the Tenth Canadian Conference on Artificial Intelligence, 1994, p. 171-178
Zhang, Nevin L.; Poole, D. Conference paper
Removable arcs in stepwise-decomposable decision networks
Proc of the Third International Symposium on Artificial Intelligence and Mathematics, 1994, p. 423-431
Zhang, Nevin L.; Poole, D. Conference paper
Solving asymmetric decision problems with influence diagrams
Proc. of the Tenth Conference on Uncertainties in Artificial Intelligence, July 29-31 1994
Qi, R.; Zhang, Nevin L.; Poole, D. Conference paper

1993 3

Structural and functional quantization of vagueness
Fuzzy Sets and Systems, v. 55, 1993, p. 51-60
Zhang, Nevin L. Article
Studies on hypergraphs: (I) Hyperforests
Discrete Applied Mathematics, v. 42, 1993, p. 95-112
Zhang, Nevin L. Article
Incremental computation of the value of perfect information in stepwise-decomposable influence diagrams
Proc. of the Ninth International Conference on Uncertainty in Artificial Intelligence, 1993, p. 400-410
Zhang, Nevin L.; Qi, R.; Poole, D. Conference paper

1992 2

Sidestepping the Triangulation Problem in Bayesian Net Computations
Proc. of the Eighth Conference on Uncertainties in Artificial Intelligence, 1992, p. 360-367
Zhang, Nevin L.; Poole, D. Conference paper
Stepwise-decomposable influence diagrams
Proc. of the Third Conference on Knowledge representation, 1992, p. 141-152
Zhang, Nevin L.; Qi, R.; Poole, D. Conference paper

1986 1

Weights of evidence and internal conflict for support functions
Information Sciences, v. 38, 1986, p. 205-212
Zhang, Nevin L. Article


No Publications






Teaching Assignment

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2021-22 Winter 0 2021-22 Fall 4 2020-21 Summer 1 2020-21 Spring 3 2020-21 Winter 0 2020-21 Fall 5

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COMP3721 Theory of Computation
COMP4981H Final Year Thesis
CSIT5910 Machine Learning
MSBD5012 Machine Learning


COMP4981H Final Year Thesis


COMP4981 Final Year Project
COMP4981H Final Year Thesis
COMP5212 Machine Learning


COMP3721 Theory of Computation
COMP4981 Final Year Project
COMP4981H Final Year Thesis
CSIT5910 Machine Learning
MSBD5012 Machine Learning


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 GAO, Han
Computer Science and Engineering( 2021 - )

LIN, Zhi
Computer Science and Engineering( 2021 - )

LIU, Xuantong (co-supervision)
Data Science and Analytics( 2021 - )

WANG, Xiasi (co-supervision)
Data Science and Analytics( 2021 - )

WANG, Zhuoma (co-supervision)
Advanced Materials( 2021 - )

XIE, Weiyan (co-supervision)
Artificial Intelligence( 2021 - )

ZHAO, Yingxiu (co-supervision)
Artificial Intelligence( 2021 - )

WEI, Yue
Computer Science and Engineering( 2020 - )

ZHOU, Xingzhi
Computer Science and Engineering( 2020 - )

JUANG, Stefan Warren
Computer Science and Engineering( 2019 - )

LEE, Dongkyu
Computer Science and Engineering( 2019 - )

TIAN, Zhiliang
Computer Science and Engineering( 2018 - )

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Graduated RPGs

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Doctor of Philosophy XUE, Lanqing
Computer Science and Engineering( Completed in 2021 )

KHAWAR, Farhan
Computer Science and Engineering( Completed in 2020 )

CHEN, Zhourong
Computer Science and Engineering( Completed in 2019 )

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

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Master of Philosophy LAM, Wing Tung
Technology Leadership and Entrepreneurship( Completed in 2020 )

ZHANG, Ziyao
Computer Science and Engineering( Completed in 2020 )









ProjectsFrom January 2020 to December 2022

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All Projects 6 Leading Projects 3 Participating Projects 3

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Deep Multidimensional Clustering


深度多維聚類分析 Leading


RGC - General Research Fund


Project Team (HKUST)
ZHANG Nevin Lianwen (Lead)


2021 -




Data Driven Identification and Classification of Chinese Medicine Syndrome Types among Functional Dyspepsia Patients: Latent Tree Analysis Participating


Health and Medical Research Fund


Project Team (HKUST)
ZHANG Nevin Lianwen


2020 -




Multi-modal Emotional Conversation Systems


基于多模態信息的情感對話系統 Leading


Tencent AI Lab


Project Team (HKUST)
ZHANG Nevin Lianwen (Lead)


2020 - 2021




Hierarchical Latent Tree Analysis for OCCF: Dealing with the Lack of Negative Examples and Beyond


層次隱樹分析與單類協調過濾 Leading


RGC - General Research Fund


Project Team (HKUST)
ZHANG Nevin Lianwen (Lead)


2018 - 2021




Deep learning based surrogate models for rapid prediction of macroscopic properties of heterogeneous materials


基于深度機器學習的快速及準確異質材料宏觀特性的代理模型 Participating


RGC - General Research Fund


Project Team (HKUST)
YE Wenjing (Lead)
ZHANG Nevin Lianwen


2018 - 2021




Research and Application on General Practitioner Cloudy Platform Base on Clinical Big Data


基于診療大數據的家庭醫生云平臺研發及產業化 Participating


Guangzhou Municipal Science and Technology Bureau, Guangzhou Qilekang Pharmaceutical Supply Chain Co.,Ltd.


Project Team (HKUST)
ZHANG Nevin Lianwen


2018 - 2020