杨强

香港科技大学讲座教授
信息科学与工程系主任

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

Research Interests:

  • Data Mining and Artificial Intelligence: Transfer Learning, Lifelong Machine Learning, Planning.
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  EngChn | Bio

New: HKUST is hiring in Data Science Area: Link New: Lifelong Machine Learning Test (终生学习测试)In AAAI-2015 Workshop on Beyond the Turing Test 后图灵测试时代

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:

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Research:  Publications by Year | Google Scholar Profile | Patent | Research Projects

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Books:

Crafting Your Research Future: A Guide to Successful Master's and Ph.D. Degrees in Science & Engineering

 

Teaching:

Hong Kong Services: