Qiang Yang

On Leave at WeBank
Chair Professor at Department of Computer Science and Engineering,
Hong Kong University of Science and Technology


    Department of Computer Science and Engineering, HKUST
    Clearwater Bay, Kowloon, Hong Kong.  qyang at cse . ust . hk

    Research Interests:  Artificial Intelligence: Federated Learning, Transfer Learning, Machine Learning, Planning, Data Mining

   DBLP Publication List | Google Scholar | HKUST Library

    Positions and Education:

  • 2018 - Present: Chief AI Officer, WeBank, Chair Professor at HKUST
  • 2015 - 2018: CSE Department Head, University New Bright Professor of Engineering and Chair Professor, Founding Director, HKUST Big Data Institute, Founding Director, Wechat-HKUST Joint Lab on AI (WHATLAB), Hong Kong University of Science and Technology
  • 2012 - 2014, Founding Director, Huawei Noah Ark Research Lab
  • 2001- 2012: HKUST: Full Professor (2007 - ) Associate Department Head (PG and Research)  (2011 - 2012), Postgraduate Coordinator (2007-2009), Associate Professor, 2001-2007,  Founding Co-Director of RMBI Program HKUST (2007-2011)
  • 1995 - 2001: NSERC Industry Research Chair (1995-2001), Associate/Full Professor at Simon Fraser University, BC Canada (1995 - 2001)
  • 1989 - 1995:  Assistant/Associate Professor, Computer Science, University of Waterloo, Waterloo, Ont. Canada 
  • 1999 - 2000: Visiting Researcher at Microsoft Research China and University of Washington, USA
  • Laboratory Affiliations: AI and Databases

     Professional Society Fellowship:

  • Fellow of Royal Society of Canada and Canadian Academy of Engineering (2021 - )
  • AAAI Fellow (2013 - ) Association for the Advancement of Artificial Intelligence
    • for significant contributions to AI Planning, Data Mining and Case-based Reasoning
    • Link to AAAI page.
  • AAAS Fellow (2012 - ) American Association for the Advancement of Science
    • for significant contributions to Data Mining, Learning and Planning: theory, applications, and services
    • Link to AAAS, Oriental Daily
  • IAPR Fellow (2012 -) International Association of Pattern Recognition
  • IEEE Fellow (2009 - ) Institute of Electrical and Electronics Engineers
    • for Significant Contributions to the Understanding and Application of Intelligent Planning, Learning and Data Mining
    • Link to HKUST News Release
  • ACM Fellow (2017 - ) Association of Computing Machinery, for contributions to Artificial Intelligence and Data Mining.  Link to ACM Page
  • CAAI Fellow (2019 - )  Chinese Association of Artificial Intelligence.


Conference and Society Activities:

  • Chairman of the TSC Committee, Federated Learning Open Source Community FATE
  • AAAI Executive Council Member (2016 - 2020). General Chair, AAAI 2021, Vancouver, Canada.
  • President of IJCAI (2017 - 2019), Member of IJCAI Trustee: 2011-2021.
  • President, Hong Kong AI and Robotics Society (HKSAIR), 2018 - present
  • Chair, ACM SIGKDD China Chapter (2016 - 2022)
  • Program Chair, IJCAI 2015, Buenos Aires, Argentina from July 25th to August 1st, 2015. 
  • Best Paper Award Committee Chair, ACM WSDM 2015.
  • Chinese AI Society, 人工智能学会,  副理事2014 -
  • General co-chair: ACM RecSys 2013, Hong Kong, China, Oct 2013.
  • Program co-chair: IEEE Big Data Conference, 2013.  CA USA Oct 2013.
  • General Chair, ACM KDD 2012, Beijing, China, Aug 12-16, 2012. Interviewing Chinese KDD Scholars for KDD 2012: A Conversation with the Chinese KDD Leaders (link).
  • IJCAI Trustee (2011 - 2017), IJCAI 2013 Publicity Chair and Area Chair.
  • Vice Chair of ACM SIGART (ACM Special Interest Group on Artificial Intelligence). July 2010.
  • More Conference Activities

Advisory Committee Membership:


         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



         Intelligent Planning -- A Decomposition and Abstraction Based Approach . Qiang Yang, Springer Verlag, 1997.
- See a book review by Fausto Giunchiglia and Luca Spalazzi in the Artificial Intelligence Journal.

         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: 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.

         邦学 (Chinese version of the Federated Learning Book) 杨强 刘洋,等。 子工出版社 2020.

         邦学习实战(Practicing Federated Learning) 杨强, 黄安埠,等。子工出版社Publishing House of Electronics Industry. 2021.

         Privacy Preserving Computing, Kai Chen and Qiang Yang, Publishing House of Electronics Industry. 电子工业出版社2022.

         可解人工智能导论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.

         Federated and Transfer Learning. Editors: Roozbeh Razavi-Far, Boyu Wang, Matthew E. Taylor, Qiang Yang.  Springer, 2023.


 Hong Kong Services:

Students: Photos: 2005, 2006, 2007, 2008, 2009, 2011, 2012, 2013 ...

·       Dr. Guangneng Hu

·       Dr. Zheng Li

·       Dr. Yexin Li

·       Dr. Yinghua Zhang

·       Dr. Lili Zhao

·       Dr. Wenyuan Dai

·       Dr. Kaixiang Mo

·       Dr. Ben Tan

·       Dr. Bin Wu (Co-supervised with Andrew Horner)

·       Dr. Zhongqi Lu

·       Dr. Ying Wei

·       Dr. Bo Liu

·       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.

·       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.

·       Si Shen

·       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.

·       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). Now: Baidu.com

·       Dr. Can Yang, graduated in May, 2011.  Co-supervised with Weichuan Yu.  Thesis: SNP data analysis in genome-wide association studies (PDF). Now: Yale University, USA.

·       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.

·       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.

·       Dr. Jie Yin. Graduated in June 2006. Thesis: Probabilistic Activity Recognition from Low-Level Sensors (PDF). Research Scientist, CSIRO, Australia.

·       Dr. Steven Woods, Senior Engineering Director, Google Canada (Wiki).  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, CMU

·       Alex Chan


Postdoc Fellows

         Xiaojin Zhang

         Hao Liu

         Zelei Liu

         Leye Wang

         Wei Hui

         Yiqiang Chen

         Rong Pan

         Shuangyin Li

         Qi Liu

         Hankz Zhuo

         Chuanyan Miao (SFU)

         Other Past Students and Visitors