Email: profqiang.yang@polyu.edu.hk Biography: Professor Qiang Yang received his
BSc. degree from Peking University in Astrophysics and his PhD degree from
the Department of Computer Science, University of Maryland, College Park, in
1989. He had been a faculty member and
Chair Professor at Hong Kong University of Science and Technology between
2001 and 2023, a Professor at Simon Fraser University and Associate Professor
at the University of Waterloo in Canada between 1989 and 2001. He is a fellow of Canadian Academy of
Engineering (CAE) and Royal Society of Canada (RSC) and a fellow of IEEE,
ACM, AAAI, AAAS, IAPR and CAAI. He was
the President of IJCAI between 2019 and 2021 and the President of Hong Kong
Society of Artificial Intelligence and Robotics(HKSAIR). He was the Founding Editor in Chief of the
ACM Transactions on Intelligent Systems and Technology (ACM TIST) and the
Founding Editor in Chief of IEEE Transactions on Big Data (IEEE TBD). He is
also active in industrial practice: he was the founding director of Huawei
Noah’s Ark Lab, former Chief Technology Advisor at WeChat (2015-2018),a co-founder of 4th Paradigm Technology Ltd.
(HKex 06682) and a Former Chief AI Officer at WeBank (2018-2025).
He received the ACM SIGKDD Distinguished Service Award and the
University of Maryland, Department of Computer Science Alumni Hall of Fame in
2017 and IJCAI Distinguished Service Award In 2023. His research interests
are artificial intelligence, machine learning, federated learning, transfer
learning, case-based reasoning and planning.
Research
Interests: Artificial
Intelligence: Federated Learning, Transfer Learning, Machine Learning,
Planning, Data Mining
DBLP Publication
List | Google
Scholar | HKUST
Library | Orcid Positions
and Education:
Professional
Society Fellowship:
Founder
of:
Selected
Students, Postdocs and Interns:
Awards:
Patents Awarded: China domestic patents: 201.
International PCT patents: 21.
Conference and Society Activities:
Advisory Committee Membership:
Editorship:
·
ACM Transactions on Intelligent
Systems and Technology, Founding Editor in Chief, 2009 – 2015. Advisory
Committee Chair 2015 – present. ·
IEEE Transactions on Big Data, Founding Editor in Chief, January 1, 2015 – 2020. Advisory Committee Chair: 2015 – present. ·
Associate
Editor of AI Magazine,
2012 – 2020. ·
Associate
Editor of IEEE
Intelligent Systems, 2005 – 2020. ·
Series
Editor for Morgan&Claypool
Synthesis Series: On Research Methodology ·
Associate
Editor of IEEE Transactions on
Knowledge and Data Engineering (TKDE), 2005 - 2009 Research
Projects
Datasets:
Books:
·
Intelligent
Planning -- A Decomposition and Abstraction Based Approach
.
Qiang Yang, Springer Verlag, 1997. ·
Constraint-based Design
Recovery for Software Reengineering: Theory and Experiments. Steven Woods, Alex Quilici and Qiang Yang. Kluwer Publishers,
Dec. 1997. ·
Crafting
Your Research Future: A Guide to Successful Master's and Ph.D. Degrees in
Science & Engineering. By Charles
X. Ling and Qiang Yang, Morgan & Claypool Publishers,
PDF here.. Chinese Version: 学术研究，你的成功之道。 Tsinghua University Press, November
2012 ·
Transfer
Learning, Qiang Yang et al. Cambridge University Press. 2020.. Chinese: 迁移学习. 华章出版社，机械工业出版社， 2020) ·
Federated
Learning, Qiang Yang et al. Morgan Claypool Publishers 2020. ·
联邦学习
(Chinese version of the Federated Learning Book) 杨强， 刘洋，等。 电子工业出版社 2020. ·
联邦学习实战，(Practicing Federated Learning) 杨强， 黄安埠，等。电子工业出版社Publishing House of
Electronics Industry. 2021. ·
隐私计算， Privacy
Preserving Computing, Kai Chen and Qiang Yang, Publishing House of
Electronics Industry. 电子工业出版社2022. ·
可解释人工智能导论Introduction to Explainable
Artificial Intelligence, Qiang Yang, Lixin Fan et
al. 电子工业出版社Publishing House of
Electronics Industry. 2022. ·
Federated
Learning: Privacy and Incentive. Edited
by Qiang Yang, Lixin Fan, Han Yu. Springer 2020. ·
Privacy-preserving Computing
for Big Data Analytics and AI. Kai Chen and Qiang Yang. Cambridge
University Press. 2024. Teaching:
Hong Kong Services:
Students: Photos:
2005, 2006,
2007,
2008,
2009,
2011,
2012, 2013 ...
Students
at HKUST
·
Dr. Dashan Gao, Thesis title: Minimum
Information Leakage in Vertical Federated Learning. Co-supervision with Professors Xin Yao and
Kai Chen. ·
Dr. Di Chai, Thesis Title: Secure and
Practical Federated Matrix Factorization.
2025. ·
Dr. Ji,
Liya, (Co-supervised with Chen, Qifeng).
Thesis: Accurate
probability estimates from large-scale data in the applications of display
advertising ·
Dr. Han Tian
(Co-supervised with Kai Chen),
Assistant Professor at USTC, Thesis: Network congestion control with deep
reinforcement learning ·
Dr.
Xueyang Wu, Thesis Title: Federated transfer learning under heterogeneous
data ·
Dr. Guangneng Hu, Xidian
University. Xi
An. Thesis title: Deep and
adversarial knowledge transfer in recommendation ·
Dr.
Zheng Li, Amazon.com， USA. Thesis title:
Neural
knowledge transfer for low-source sentiment analysis :
cross-domain, cross-task & cross-lingual ·
Dr.
Yexin Li, JD.com, Beijing, Thesis Title: Deep reinforcement
learning in urban computing ·
Dr. Yinghua Zhang, Meituan Inc.
Shanghai. Thesis Title: Deep transfer learning : generalization on clean and adversarial data ·
Dr.
Lili Zhao, Tencent, Shenzhen,
Thesis Title: Active
transfer learning for recommendation system ·
Dr.
Wenyuan Dai, 4th Paradigm Inc. Thesis Title: Lower the barrier
of machine learning : meta learning for transfer
learning and autoML ·
Dr. Kaixiang Mo, SHEIN, Singapore.
Thesis Title: Transfer
reinforcement learning for task-oriented dialogue systems ·
Dr. Ben Tan, Tencent, Shenzhen. Thesis
Title: Distant
domain transfer learning ·
Dr. Bin Wu (Co-supervised with Andrew Horner), Tencent. Thesis
Title: Machine
recognition of music emotion and the correlation with musical timbre ·
Dr. Zhongqi Lu, China University of
Petroleum, China. Thesis Title: Selective
transfer learning for cross domain recommendation ·
Dr. Ying Wei, Nanyang Technological
University, Singapore. Thesis Title: Heterogeneous
transfer learning ·
Dr. Bo Liu, Bytedance, Shenzhen. Thesis Title: Transferable
bandit · Dr. George (Georgios) Trimponias, graduated in Feb 2015. Thesis: Game-Theoretic Design for Assignment and Ranking in Online Advertising and Human Computation, Now: Huawei Noah's Ark Lab. ·
Ruiming Xie, MPhil.
Thesis: Transfer
learning for one-class recommendation based on matrix factorization ·
Dr.
Yin Zhu, graduated in August 2014.
Thesis: Activity
Recognition via Social Knowledge Transfer. July 21, 2014. ·
Dr.
Erheng Zhong, graduated in Feb
2014. Thesis: Composite
Social Network Analysis (PDF).
Now: Yahoo! Labs., USA. ·
Dr.
Derek Hao Hu, graduated in Dec
2012. Thesis: Learning
based Activity Recognition (PDF).
Now: Microsoft (Bing) at Redmond, Washington, USA. ·
Dr.
Weizhu Chen,
graduated in Aug 2012. Thesis: An
Associative Characterization of Click Models in Web Search (PDF). Now: Microsoft (Bing) at
Redmond, Washington, USA. ·
Dr.
Simone Marini, graduated in Aug 2012. Thesis: Qualitative and
Quantitative Protein Interaction Prediction with Machine Learning.
Now: Postdoc in Italy. ·
Dr.
Evan Wei Xiang, graduated in June
2012. Thesis: Transfer
Learning with Open Web Data (PDF). Now: Baidu.com ·
Dr.
Weike Pan, graduated in June, 2012. Thesis: Transfer
Learning in Collaborative Filtering (PDF). Now: Assistant Professor
at Shenzhen University, Shenzhen, China. ·
Jinliang Deng, Mphil,
Thesis: Order
Dispatching for Electric Vehicles by Deep Multi-Objective ·
Xiang
Zhang, Mphil. Title: Transfer
hierarchical attention network for generative dialog system ·
Wenya Zhu, MPhil. Title: Generative
dialogue system with knowledge base ·
Caigao Jiang, MPhil, Title: Large scale WiFi
indoor localization ·
Si Shen, MPhil., Thesis Title: New perspectives on search
click modeling · Dr. Nathan Nan Liu, graduated in December, 2011. Thesis: Ranking Oriented Approach to Context Aware Recommendation (PDF). Current: Yahoo! Labs. ·
Dr.
Bin
Cao, graduated in August, 2011. Thesis: Collaborative and
Transfer Learning in Recommendations (PDF). Current: Microsoft
Research Asia. ·
Dr.
Vincent Wenchen Zheng,
graduated in August, 2011. Thesis: Learning
with Limited Data in Sensor-based Human Behavior Recognition (PDF). Current: Institute for Infocomm Research, Singapore. Webank. ·
Dr.
Qian Xu, graduated in Nov 2010. Co-supervised with Hong Xue. Thesis: Knowledge
Transfer for Solving the Data Scarcity Problem for Machine Learning in Boinformatics (PDF).Baidu.com; WeBank. ·
Dr.
Can Yang, graduated in May, 2011. Co-supervised with Weichuan Yu. Thesis: SNP data analysis in
genome-wide association studies (PDF). Now: Professor at Math Department, HKUST ·
Dr.
Sinno Jialin Pan.
Graduated in September 2010. Thesis: Feature-based
Transfer Learning with Real-world Applications (PDF). 2010- 2014: Institute for
Infocomm Research, Singapore. 2014 -: Nanyang Professor at Nanyang Technological
University (NTU), Singapore. Now:
Professor at Chinese University of Hong Kong. ·
Dr.
Jeffrey Junfeng Pan. Graduated in
December 2007. Thesis: Learning-based
Localization in Wireless and Sensor Networks (PDF). Current: Facebook ·
Dr.
Dou Shen. Graduated in June 2007. Thesis: Learning Based Web
Query Understanding (PDF).
co-founder: BuzzLabs, and 2011-2012:
Senior Director, CityGrid Media.
2012-2014: Director of Advertisement Union, Baidu Inc. 2014- : Director
of Search and Personalization, Baidu Inc. Beijing, China. ·
Hui
Wang. HKUST MPhil. Title: Web-log
Mining for Quantitative Temporal-Event Prediction. Now: WeChat. ·
Dr.
Jie Yin. Graduated in
June 2006. Thesis: Probabilistic
Activity Recognition from Low-Level Sensors (PDF). Research Scientist, CSIRO, Australia. ·
Hong
Cheng. HKUST MPhil. Title: Mining Case
Bases for Action Recommendation. Now: Professor at Chinese University of Hong
Kong. Students at SFU ·
Henry
Zhang. MSc. Title: Mining web logs for
prediction models in WWW caching and prefetching. ·
Ian
T.Y. Lee. MSc. Title: Classification
Pruning for Web-request Prediction. Now: Microsoft. ·
Jing
Wu, SFU MSc. Title A Case-Base Maintenance Policy Based on Clustering and
Information Theory. Now: Amdocs. ·
Sheng
Li, SFU MSc. Title: Activating Case-Based Reasoning with Active Databases.
Now: Seagate Software. ·
Hai-jing Fang MSc. at SFU.
Querying the Web through XML-HTML conversion in Restricted Domains,
August 2001. ·
Hui
Zhang, MSc. Acquiring Typical Problem-solving Knowledge: From Databases using
Data Mining. Now: Professor at University of Manitoba, Canada ·
Zhong
Zhang, MSc. Title: Dynamic Refinement of Feature Weights Using Quantitative
Introspective Learning, July 1999. Now: Professor in University of
Lethbridge, Canada ·
Zhen
Michael Zhang. MSc. Title: Model Based Predictive Prefetching. ·
Sandra
Hayden. Msc. Agent Architecture. Now:
NASA Ames, USA ·
Gunter
Mussbac, MSc., Software Reuse using Case Based
Reasoning and Commonality Analysis, 1998 ·
Jun
Zhu, SFU MSc. Title Remembering to Add: Competence-preserving Case-Addition
Policies for Case Base Maintenance ·
Kirsti
Racine, MSc. Title: Maintaining Case Bases. Now: IBM Canada Students at Waterloo ·
Philip
Fong, Topic: Machine Learning Theory.
1994 - 1996.Now: Professor at University of Calgary, Canada. ·
Stephanie
Ellis, Waterloo, MSc., Topic: Class Table Scheduling with AI. 1994-1996. ·
Cheryl
Murray, Waterloo MSc. Title: An Evaluation of the Temporal Coherence
Heuristic in Partial-Order Planning. ·
Dr. Steven Woods, Waterloo
PhD. Senior Engineering Director, Google Canada (Wiki). University
of Waterloo Thesis (1996): A Method of
Program Understanding using Constraint Satisfaction for Software Reverse
Engineering. University of Waterloo, Canada. Now: Engineering
Director of Google Canada. ·
Eugene Fink,
University of Waterloo MSc. Thesis title: Characterizing and Learning Primary
Effects in Planning. At CMU (Last PhD
student of Herb Simon) ·
Alex Chan. University of Waterloo MSc. Title: Partial Order Planning. Now:
Microsoft Postdocs at HKUST ·
Chunxu Zhang ·
Xiaojin Zhang ·
Hao Liu ·
Wei
Hui ·
Qian
Xu ·
Huayan Wang ·
Rong
Pan ·
Qi Liu Postdocs at SFU
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