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Online
Publication List |
Google
Scholar Profile | Transfer
Learning Survey, Software and Data Resources
Transfer
Learning in Social Recommendations |
IEEE Intelligent Systems: Mobile-phone Spam Detection
Mobile
Social Recommendation |
MIT Technology
Review Article (ViCAD System)
Transfer Learning in Web and Social Networks:
IEEE
Intelligent Systems CFP,
ACM KDD'12 Workshop
ACM KDD'12 Workshop: Big Data Mining
Research Job Opportunity in Hong
Kong new
Research Interests:
- Data Mining: Transfer Learning, Social Media and Web
Mining, Mobile Data Mining.
- Artificial Intelligence: Automated Planning, Machine
Learning, Activity Recognition, and Case-based Reasoning
Positions and Education:
Professor (2007 - ) and Associate Head (PG and Research) at Department
of Computer Science and Engineering, HKUST (2011 - )
B.Sc. (1982) Astrophysics
at Peking University, Beijing,
China (Alumnus of the CUSPEA
program in 1982)
M.Sc. (1985) Astrophysics, University of Maryland, USA
M.Sc. (1987) Computer Science, University
of Maryland, USA
PhD (1989) Computer Science, University
of Maryland, USA
IEEE Fellow (2009 - , for contributions to understanding and application of
intelligent planning, learning and data mining).
ACM Distinguished Scientist (2011 - ,
Link to ACM),
AAAI
Member, AAAS Member
Professor at Simon Fraser
University, Canada (2001)
Associate Professor and NSERC Industry Research Chair at Simon Fraser University,
Canada (1995 - 2001)
Assistant/Associate Professor, Computer Science, University of Waterloo,
Canada (1989-1995)
Visiting Researcher at Microsoft
Research China (1999 to 2000) and University of Washington, USA
(2000)
Founding Co-Director of
RMBI Program at HKUST (2007-2011)
Postgraduate Director at HKUST (2007-2009 and 2011 Summer)
Laboratory Affiliations: AI and DatabasesAwards:
- 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 info)
- 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
Current Conference and Society Activities:
Advisory Committee Membership:
Editorship:
Datasets:
Invited Talks:
- Keynote speaker at the 7th IFIP International Conference on Intelligent
Information Processing (IIP2012),
12-15 October, 2012 in Guilin, China. Title: Transfer Learning and
Applications.
- Invited Talk at Taiwan AI Society Annual Conference (TAAI-2012).
- Invited Speaker at SIAM
International Conference on Data Mining (SDM-12), Title: Cross-Domain
Knowledge Transfer in Data MiningAnaheim, CA USA,
April 26-28, 2012. (PDF)
- Keynote Talk at PCC
(Chinese Pervasive Computing Conference, 2011), Title:
"Collaborative, Cross-Domain Activity Recognition For Ambient Living
(协作及跨域环境下的动作识别)", Sept 17, 2011, Tsinghua University, China.
- Invited Talk at IJCAI Workshop on Social Web Mining:
Transfer
Learning in Social Recommendations. July 25, 2011. Barcelona,
Spain.
- Keynote at 2011 Chinese Conference on Data Mining (CCDM 2011, 中国数据挖掘年会):
"From
Learning by Analogy to Transfer Learning", May 2011, Guangzhou,
China.
-
Distinguished Lecture Series, Academia Sinica, Institute of Information
Science, Taipei Taiwan. May 2011 (link)
- 2010
Australasian Joint Conference on Artificial Intelligence. Keynote
Speech: Data Mining for Sensor-based Activity Recognition. Dec 2010.
- IJCAI 2009 Invited Talk:
Activity
Recognition: Linking Low-level Sensors to High-level Intelligence, Pasadena CA USA. July 17 2009. (Video&Slides @ Videolectures.net; and invited paper in PDF format)
- ACL 2009 Invited Talk:
Heterogeneous Transfer Learning with Real-world Applications, Singapore, August 2009 (Slides in PDF Format
(2.5MB), and
invited paper in PDF format)
- More invited talks...
Books:
Teaching:
Hong Kong Services:
Magazine Articles:
Current Graduate Students:
Past PhD Students at HKUST:
- Dr. Nathan Nan Liu,
graduated in December, 2011. Thesis:
Ranking Oriented Approach to Context Aware Recommendation.
Current:
Yahoo! Labs.
- Dr. Bin Cao,
graduated in August, 2011. Thesis:
Collaborative and Transfer Learning in Recommendations. Current:
Microsoft Research Asia.
- Dr. Vincent Wenchen
Zheng, graduated in August, 2011. Thesis:
Learning with Limited Data in Sensor-based Human Behavior Recognition.
Current: Institute for Infocomm Research, Singapore.
- Dr. Can Yang, May,
2011. Co-supervised with Weichuan
Yu. Thesis: SNP data
analysis in genome-wide association studies. Current: Yale
University.
- Dr. Qian Xu, 2010. Co-supervised with H. Xue. Thesis:
Knowledge Transfer for Solving the Data Scarcity Problem for Machine
Learning in Boinformatics. Postdoc Fellow at HKUST.
- Dr. Sinno Jialin Pan.
Graduated in September 2010. Thesis:
Feature-based Transfer Learning with Real-world Applications.
Current: Institute for Infocomm Research, Singapore.
- Dr. Jeffrey Junfeng Pan.
Graduated in December 2007. Thesis:
Learning-based Localization in Wireless and Sensor Networks.
Current: Facebook
- Dr. Dou Shen. Graduated in June
2007. Thesis: Learning
Based Web Query Understanding, Current: BuzzLabs.
- Dr. Jie Yin.
Graduated in June 2006. Thesis:
Probabilistic Activity Recognition from Low-Level Sensors.
Research Scientist, CSIRO,
Australia.
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