Qiang Yang

 
Qiang Yang

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


IEEE TBD
   








IEEE TBD Submission Link



 

    Address:

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

    Research Interests:

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

     Online Publication List | Google Scholar | HKUST Library | Transfer Learning Survey, Software and Data Resources

    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:

    • 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 Fellow (2017 - ) Association of Computing Machinery, for contributions to Artificial Intelligence and Data Mining.  Link to ACM Page

     Awards: