Leave at WeBank
Chair Professor at Department of Computer Science and Engineering,
Hong Kong University of Science and Technology
Department of Computer Science and
Clearwater Bay, Kowloon, Hong Kong. qyang at cse . ust . hk
Artificial Intelligence: Federated Learning, Transfer Learning, Machine
Learning, Planning, Data Mining
List | Google
Scholar | HKUST
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
- 2012 - 2014, Founding
Director, Huawei Noah Ark Research
- 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
- 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
Professional Society Fellowship:
- Fellow of Royal Society of Canada and Canadian Academy of Engineering (2021
- AAAI Fellow (2013 - ) Association for the Advancement of Artificial
- 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
- for significant
contributions to Data Mining, Learning and Planning: theory,
applications, and services
- Link to AAAS,
- 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
- 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.
- PAKDD 2019 Best Paper
Applications of Artificial Intelligence Award, 2018, the Association
for the Advancement of Artificial Intelligence (AAAI), USA.
- 2018 Best Paper Award, ACM
Transactions on Intelligent Interactive Systems (ACM TiiS)
- ACM SIGKDD
Distinguished Service Award, 2017
- University of
Science Department Alumni Hall of Fame, 2017
- HKUST School of
Engineering, Distinguished Research Award, 2016
- Two champions, Nokia
Mobile Data Challenge (Nokia MDC), 2012: see Announcement.
- ACM CIKM-2011 Best Interdisciplinary
Paper Award: Ou Jin,
Nathan Nan Liu, Yong Yu and Qiang Yang. Transferring Topical Knowledge from
Auxiliary Long Text for Short Text Understanding. Proceedings of the
20th ACM Conference on Information and Knowledge Management (ACM CIKM
2011). Glasgow, UK. Oct 2011.
- Third place in the
rating prediction of ACM KDDCUP 2011, Yahoo! Music Recommendation
Challenge (Team Coach of Inner
Peace team) (more
- Champion (Team Coach)
of the 2005 ACM KDDCUP
Competition on all three performance
metrics. See related news
item at the university and at KDNuggets.
(Also see: our system demonstration: http://q2c.cs.ust.hk/q2c/)
- Co-Champion for the
System ARMS (with Kangheng Wu and Yunfei Jiang) for learning planning models
First International Competition on
Knowledge Engineering for Planning and Scheduling, ICAPS 2005,
Monterey, CA, USA
- Champion (Team Coach,
Tied for #1 Overall) of the 2004
ACM KDDCUP Competition
- Co-winner of the 1996
Automated Software Engineering Conference best paper award
- Co-winner of the 1994
Canadian AI Conference, best paper award
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, 中 国 人工智能学会, 副理事长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
- Vice Chair of ACM SIGART (ACM Special Interest Group
on Artificial Intelligence). July 2010.
- More Conference Activities
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
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
Planning -- A Decomposition and Abstraction Based Approach
Qiang Yang, Springer Verlag,
- See a book review by Fausto Giunchiglia
and Luca Spalazzi in the Artificial
Design Recovery for Software Reengineering: Theory and Experiments. Steven Woods, Alex Quilici and Qiang
Publishers, Dec. 1997.
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
Learning, Qiang Yang et al. Cambridge
University Press. 2020.. Chinese: 迁移学习.
Learning, Qiang Yang et al. Morgan Claypool
version of the Federated Learning Book) 杨强， 刘洋，等。 电子工业出版社 2020.
Learning) 杨强， 黄安埠，等。电子工业出版社Publishing House
of Electronics Industry. 2021.
Preserving Computing, Kai Chen and Qiang Yang,
Publishing House of Electronics Industry. 电子工业出版社2022.
Explainable Artificial Intelligence, Qiang Yang, Lixin Fan et al. 电子工业出版社Publishing House
of Electronics Industry. 2022.
Learning: Privacy and Incentive. Edited by Qiang Yang, Lixin
Fan, Han Yu. Springer 2020.
and Transfer Learning. Editors: Roozbeh Razavi-Far, Boyu Wang, Matthew E.
Taylor, Qiang Yang. Springer,
Hong Kong Services:
Dr. Kaixiang Mo
Dr. Ben Tan
Dr. Bin Wu
(Co-supervised with Andrew Horner)
Dr. Zhongqi Lu
Dr. Ying Wei
Dr. Bo Liu
(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.
Nan Liu, graduated in December, 2011. Thesis: Ranking
Oriented Approach to Context Aware Recommendation (PDF). Current: Yahoo! Labs.
Cao, graduated in August, 2011. Thesis: Collaborative and
Transfer Learning in Recommendations (PDF). Current: Microsoft
Wenchen Zheng, graduated in August, 2011.
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.
Transfer for Solving the Data Scarcity Problem for Machine Learning in
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,
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.
Yin. Graduated in June 2006. Thesis: Probabilistic
Activity Recognition from Low-Level Sensors (PDF). Research Scientist, CSIRO, Australia.
Woods, Senior Engineering Director, Google Canada (Wiki). Thesis
Method of Program Understanding using Constraint Satisfaction for Software
Reverse Engineering. University of Waterloo, Canada. Now:
Engineering Director of Google Canada.
Other Past Students and Visitors