Qiang Yang

New Bright Named Professor and Chair Professor
Head, Department of Computer Science and Engineering
Hong Kong University of Science and Technology
Clearwater Bay, Kowloon, Hong Kong
Room 3563 (Lift 27/28)
qyang (at) cse (dot) ust (dot) hk
Phone
: (00852) 2358-8768
Fax: (00852) 2358-1477


IEEE TBD
   

http://ijcai-15.org

IEEE TBD Submission Link

IJCAI 2015
 

Research Interests:

  • Data Mining: Transfer Learning, Web/Social/Mobile Data Mining
  • Artificial Intelligence: Automated Planning, Machine Learning, Activity Recognition, and Case-based Reasoning

Online Publication List | Google Scholar Profile | 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) | Hong Kong RGC Research Frontiers Article: Heterogeneous Transfer Learning  Eng, Chn | Bio

        Positions and Education:

  • 2015 - present: CSE Department Head, University New Bright Professor of Engineering and Chair Professor, Hong Kong University of Science and Technology
  • 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

           Honor:

    • 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

            Awards: