Qiang Yang

Qiang Yang

New Bright  Professor of Engineering, Chair Professor and
Head of Department of Computer Science and Engineering,
Hong Kong University of Science and Technology



IEEE TBD Submission Link

IJCAI 2015 Proceedings



Clearwater Bay, Kowloon, Hong Kong, qyang (at) cse (dot) ust (dot) hk, Phone: (00852) 2358-7009, Fax: (00852) 2358-2679

Research Interests:

  • Artificial Intelligence: Transfer Learning, Machine Learning, Planning, Data Mining

Online Publication List | Google Scholar | Transfer Learning Survey, Software and Data Resources
Transfer Learning in Social Recommendations | MIT Technology Review Article (ViCAD System)
Transfer Learning Papers in Recent Conferences (Link) | Book: Crafting Your Research Future, Morgan&Claypool Publishers (link) (PDF) | Hong Kong RGC Research Frontiers Article: Heterogeneous Transfer Learning  Eng, Chn | Bio

** Chair, IJCAI-2017 Awards Committee:  Call for Award Nominations

** Chair,  ACM KDD 2017 Test of Time Award CommitteeCall for Award Nominations

** Chair, IEEE Intelligent Systems Top-10-to-Watch Committee: Call for Award Nominations

    Positions and Education:

    • 2015 - present: CSE Department Head, University New Bright Professor of Engineering and Chair Professor, Hong Kong University of Science and Technology
    • 2016 - present: Director, HKUST Big Data Institute
    • 2012 - 2014, Founding Head, Huawei Noah Ark Research Lab
    • 2001- present: 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


      • AAAI Fellow (2013 - ) Association for the Advancement of Artificial Intellignece
        • for significant contributions to AI Planning, Data Mining and Case-based Reasoning
      • AAAS Fellow (2012 - ) American Association for the Advancement of Science
        • for significant contributions to Data Mining, Learning and Planning: theory, applications, and services 
      • IAPR Fellow (2012 -) International Association of Pattern Recognition
        • for significant contributions to Data Mining and Transfer Learning
      • IEEE Fellow (2009 - ) Institute of Electrical and Electronics Engineers
        • for Significant Contributions to the Understanding and Application of Intelligent Planning, Learning and Data Mining
      • ACM Distinguished Scientist (2011 - ) Association of Computing Machinery, Link to ACM