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2013
Qiang Yang
Curriculum Vitae
Qiang Yang
Head of Huawei Noah’s Ark Research Lab
http://www.noahlab.com.hk
and
Hong Kong University of Science and Technology
Department of Computer Science and Engineering
Clearwater Bay, Kowloon, Hong Kong
http://www.cse.ust.hk/~qyang
http://scholar.google.com/citations?hl=en&user=1LxWZLQAAAAJ
Research Interests
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Big Data, Data Mining and Artificial Intelligence (AI)
o Big Data, Data Mining, Machine Learning and Automated Planning
Applications of AI, Machine Learning and Data Mining
o Web and Wireless Sensor Networks, Pervasive Computing and Activity Recognition,
Information Retrieval, Bioinformatics
Employment History
June 2012 - Present: Head, Huawei Noah’s Ark Lab. The lab’s mission is conducting world-class
research in data mining and artificial intelligence. The lab has 50+ researchers now and is aiming for
150+ in big data mining, social, mobile and financial intelligence, and natural language processing.
June 2007 - : Full Professor, Postgraduate Studies Director (2007-2009), Associate Head (Research,
2011 - ). Department of Computer Science and Engineering, Hong Kong University of Science and
Technology, Hong Kong, China.
Sept 2007 – Sept 2011. Founding co-director of HKUST Risk Management and Business
Intelligence Program (RMBI Program), HKUST.
Sept 2001 to May 2007: Associate Professor, Department of Computer Science and Engineering,
Hong Kong University of Science and Technology, Hong Kong, China.
2001 to 2004 Full Professor at School of Computing Science, Simon Fraser University, Burnaby BC
Canada. On leave from SFU from Aug 2001 to Aug 2003. Director of Graduate Studies at School of
Computing Science, Simon Fraser University, Canada (2001).
Sept 1995 to 2001 Associate Professor, Canadian NSERC Industry Research Chair, School of
Computing Science, Simon Fraser University, Burnaby BC CANADA V5A 1S6.
July 1994 to Aug 1995. Associate Professor, University of Waterloo
Department of Computer Science, University of Waterloo, Computer Science Department, Waterloo
Ontario, Canada N2L 3G1
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2013
Qiang Yang
Curriculum Vitae
Aug 1989 to June 1994. Assistant Professor, Department of Computer Science, University of
Waterloo, Computer Science Department, Waterloo Ontario, Canada N2L 3G1
Education
1989 Ph.D. University of Maryland, College Park, Maryland USA 20742. Computer Science
Department, Thesis: Improving the Efficiency of Planning.
1987 M.Sc. University of Maryland, College Park, Maryland USA. Computer Science
Department
Thesis: A Planning System for Manufacturing Process Planning
1984 M.Sc. University of Maryland, College Park, Maryland USA. Astrophysics.
MSc. Thesis: An Electromagnetic Model of Solar Flares
1982 B.Sc. Peking University, Beijing China, Astrophysics Program (Geophysics Department) (I
joined the CUSPEA program for graduate study in the US in 1982)
Society Recognition
Fellow of AAAI (Association for the Advancement of Artificial Intelligence, 2013-), IEEE (2009-), IAPR
(International Association of Pattern Recognition, 2012-) and AAAS (American Association for the
Advancement of Science, 2012-): For Significant Contributions to Data Mining and Artificial Intelligence.
Professional Services
Society Services
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Vice Chair of ACM SIGART. July 2010 – July 2013
IEEE Computer Society, Fellows Committee Member. 2012
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Trustee of IJCAI (2011-2017)
Editorship for Journals
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Founding Editor in Chief, ACM TIST, (ACM Transactions on Intelligent Systems and
Technology). 2009 – present, ACM.
Associate Editor: AI Magazine, AAAI Press, 2012- present
Associate Editor of the IEEE Intelligent Systems, 2005 – present, IEEE.
Associate Editor of the IEEE Transactions on Knowledge and Data Engineering (TKDE),
IEEE, 2005 – 2009.
Editorial Board Member of the Web Intelligence and Agent Systems Journal 2003 - , IOS
Press.
Editorial Board Member of the Journal of Computer Science and Technology, 2007 - ,
Springer. (Associate EiC after December 2011)
Editorial Board Member of the Frontiers of Computer Science in China 2010 –, Springer.
Editorial Board Member of Journal of Information Science and Engineering, 2011 –,
Academia Sinica.
Advisory Boards
• Trustee of IJCAI (2011-2017).
• Advisory Committee Member: IJCAI'11: International Joint Conference on Artificial
Intelligence 2011.
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2013
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Qiang Yang
Curriculum Vitae
Steering Committee Member of Asia Conference on Machine Learning (ACML): 2009 2013
Steering Committee Member of Advanced Data Mining and Application Conference
(ADMA): 2008 - present
Advisory Board of Knowledge Management & E-Learning: An International Journal
(KM&EL): 2009 – present
Advisory Board of International Journal of Machine Learning and Cybernetics (IJMLC):
2010 – present
Advisory board of Computer Science Department of University of Macao. 2011 –
Advisory board of Taiwan Association of Artificial Intelligence. 2011 –
Conference Chairs and Officers
• General Co-Chair, ACM Recommender Systems Conference (ACM RecSys 2013), Oct.
2013, Hong Kong.
• Program Co-Chair, IEEE Big Data Conference. Santa Clara, CA, USA, Oct 2013.
• Program Chair for International Joint Conference on AI (IJCAI) 2015, Argentina.
• General Chair, ACM SIGKDD 2012, Beijing, China
• Track Chair, IJCAI (IEAI: Integrated and Embedded Intelligence Track), 2011. IEAI also
becomes the conference theme of IJCAI 2011.
• Publicity Chair and Senior PC Member , ACM WSDM 2011 (Hong Kong, February 7-10,
2011).
• Area Chair (one level below program chairs, but above senior PC members), AAAI 2011
(Association for the Advancement of Artificial Intelligence)
• General Co-Chair of the Third Asian Conference on Machine Learning, ACML 2011: Nov.
2011, Taiwan.
• Vice Program Committee Chair, IEEE International Conference on Data Mining (ICDM
2011).
• Senior PC Member , ACM KDD 2011 (International Conference on Knowledge Discovery
and Data Mining; this is the top conference for data mining worldwide)
• PC Member, ACM UbiComp 2011 (ACM Ubiquitous Computing Conference).
• ACM CIKM 2011: Senior PC Member
• 2011 CCDM (2011 中国数据挖掘年会), Industry Panel Chair: Large Scale
Recommendation Systems, May 5-7, 2011, Guangzhou, China
• ICDM 2010: Vice PC Chair: Sydney Australia, Dec 2010.
• AAAI 2010 AI-Web: Senior PC member
• Co-organizer of Machine Learning and Applications Workshop, Nanjing, Nov 7/8, 2010.
• PC Co-Chair, ACML 2010 (Asia Conf. on Machine Learning), Japan, 2010.
• Program Committee Co-Chair: ACM KDD 2010 (ACM Knowledge Discovery and Data
Mining Conference; total submission number: 700. Total attendees: 850).
• General Co-Chair: ACM IUI 2010 (ACM Intelligent User Interfaces Conference, Feb 2010,
Hong Kong, China; Number of attendees: ~300).
• General Co-Chair: 2009 Advanced Data Mining and Applications Conference (ADMA'09),
Beijing China.
• Area Chair: First Asian Machine Learning Conference ACML 2009
• Chair: IEEE ICDM 2009 Data Mining Contest
• 2009 ACM-Hong Kong Student Research and Career Day (PC Chair)
• 2009 ACM CIKM Conference (Vice Chair in Knowledge Management Track)
• 2010 ACM Hong Kong Bioinformatics Symposium (HKUST), PC Co-chair
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2013
Qiang Yang
Curriculum Vitae
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Co-chair of IEEE ICDM Transfer Mining Workshop and Organizer of NIPS Workshop on
Structured Transfer Learning.
Co-organizer of The 2nd IEEE Pervasive Computing Conference, Workshop on Intelligent
Pervasive Devices (PerDev2009)
Area Chair, PAKDD 2008 (Pacific Rim Knowledge Discovery and Data Mining
Conference), Japan. 2008.
Area Chair, PRICAI 2008 (Pacific Rim AI Conference, 2008) Hanoi, Vietnam, 2008.
AAAI 2008 and 2010 Senior PC (AI&Web Track)
Workshop Co-chair, Workshop on Power-aware Computing, 2008, associated with IEEE
Pervasive Computing Conference, Hong Kong.
Program Co-Chair: Pacific-Asia Knowledge Discovery and Data Mining Conference
(PAKDD 2007), 2007, Nanjing City, China.
IEEE ICDM Conference, Data-Mining Competition Co-Chair, 2007. Omaha, NE USA
Tutorial Co-chair: The 20th and 21st National Conferences on Artificial Intelligence (AAAI
2005 and AAAI 2006)
Program Co-chair, Pacific Rim Artificial Intelligence Conference (PRICAI 2006), 2006.
Guilin City, Guangxi, China.
Program Co-chair: Data Mining for Biomedical Applications, PAKDD 2006 Workshop,
BioDM 2006, Singapore, April 9, 2006,
Program Vice Co-chair, IEEE ICDM Conference (International Conference on Data
Mining), 2006, Hong Kong, China
Workshop Chair, ACM SIGKDD 2007 Conference (Data Mining and Knowledge
Discovery), San Jose, CA, USA
Workshop Co-Chair (w/ Manuela Veloso), ICAPS 2002 Workshop on “Is There Life beyond
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Workshop Co-Chair (w/ S.C. Zhang and C. Zhang), IEEE ICDM Workshop on Data
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Conference General Chair, 2001 International Conference on Case-based Reasoning, ICCBR
2001. Vancouver Canada.
Program Co-chair, Canadian AI Conference, 2001, Canada.
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Operator Sequencing? -- Exploring Real World Planning.” France, 2002.
Cleaning and Preprocessing 2003.
Keynote and Invited Talks at Conferences
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Keynote Speaker “User Modeling in Social Networks and Social Media,” in IJCAI 2013 Workshop on Behavior and Social Informatics and Computing.” Beijing, China. Aug 2013. Keynote Speaker: “User Modeling in Social Networks and Social Media,”, in ACM KDD 2013 Workshop on Mining User Semantics in Heterogeneous Information Networks, Chicago, IL., USA. Aug 2013. Keynote Speaker: PAKDD 2013, Brisbane, Australia, April 2013. Title: Big Data, Lifelong Machine Learning and Transfer Learning. Keynote Speaker: ACM WSDM 2013, Rome Italy, Feb. 2013. Title: Big Data, Lifelong Machine Learning and Transfer Learning. Keynote Speech, “Transfer Learning and Applications”, Taiwan Conference on Artificial
Intelligence, Nov. 2012. Tainan, Taiwan.
Keynote Speech, “Transfer Learning and Applications”, Advanced Data Mining and
Applications Conference ADMA 2012. Dec 2012, Beijing China.
Keynote Speech: “Transfer Learning and Applications”, IFIP 2012 Conference, Guilin, China.
4
2013
Qiang Yang
Curriculum Vitae
• Keynote Speech: “Transfer Learning: A Future Direction for Data Mining.” 2012 SIAM Data
Mining Conference, April 2012. USA
• Invited Talk at 2nd International workshop on Sustainable Medical Collaboration in East &
West 2011, KHU, Korea, Sept 22, 2011
• Keynote Speech 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 MSRA-HIT Summer School on Natural Language Processing 2011 (Lecture
Notes), Aug 1, 2011. Invited Speaker at Workshop on Social Web Mining, IJCAI 2011,
Barcelona, Spain, 2011. Title: Transfer Learning in Social Network Mining.
• Invited Speaker of International Summer School on Machine Learning, Singapore, June, 2011.
Title: An Introduction to Transfer Learning.
• Invited Talk at Workshop on Unsupervised and Transfer Learning, International Conference
on Machine Learning, Saturday, July 2, 2011, Bellevue, Washington, USA. Title: An
Introduction of Transfer Learning.
• Keynote Speech 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.
• “Transfer Learning in Text, Multimedia and Social Networks ,” Distinguished Lecture Series,
Academia Sinica, Institute of Information Science, Taipei Taiwan. May 2011.
• Chinese Computer Federation, Youth Forum (YOCSEF) Invited Talk: "Activity Recognition
based on Sensor Data", Beijing, Dec 2010. (Program, Paper)
• MLA 2010: Chinese Machine Learning and Applications Workshop: Invited Talk: Link
Prediction in Transfer Learning. Nanjing, China. Nov 2010.
• WISM'10-AICI'10 Keynote Speech: Cross-Media Transfer Learning for Link Prediction.
Hainan, China, 2010.
• 2010 Australasian Joint Conference on Artificial Intelligence. Keynote Speech: Data Mining
for Sensor-based Activity Recognition. Adelaide, Australia, Dec 2010.
• ICNC’10/FSKD’10 Keynote speech: Cross-Media Transfer Learning for Link Prediction.
August 10, 2010, Weihai, Shandong, China.
• Taiwan Association for Artificial Intelligence (TAAI) 2010 AI Forum Keynote Speaker:
Transfer Learning in Link Prediction. Taiwan, May 2010.
• Nokia 2010 Workshop on Mobile Intelligent System. Invited Talk on Mobile Context
Learning. Beijing, Apr. 2010.
• Invited Talk: IJCAI 2009 (International Conf. on Artificial Intelligence, Pasadena, USA)
• Invited Talk: ACML 2009 (Asia Conf. on Machine Learning)
• Keynote Speech: ACL 2009 (Association of Computational Linguistics, Singapore),
Heterogeneous Transfer Learning. Singapore, August, 2009. ACL is the largest association
of computational linguistics and natural language processing (NLP) in the world.
• Invited Talk: Enjoy Life Through Research. 2009 Hong Kong Baptist University, Graduate
Research Symposium, and ACM-Hong Kong Student Research and Career.
• Keynote Speech: Recent Advances on Transfer Learning, at 3rd ISKE Conference on
Intelligent Systems and Knowledge Engineering, Xiamen, China, Nov 2008.
• Keynote Speech: An Introduction to Transfer Learning. at Advanced Data Mining and
Applications Conference (ADMA'08, Chengdu, Sichuan, China, Oct 2008)
• “Learning for Query Classification”: Invited Talk at Chinese Information Retrieval
Conference, Dec 2007
• “Making a Case for Case-based Reasoning”: Invited Talk at the 2001 Canadian AI
Conference. Ottawa, Canada. June, 2001.
5
2013
Qiang Yang
Curriculum Vitae
• “Towards New Generation Search Engines”: Invited Talk at 2000 Pacific Rim Artificial
Intelligence Conference (PRICAI 2000), July, 2000, Melbourne, Australia
• “Embedded Case-based Reasoning”: Invited Talk at the 2000 European Workshop (now
European Conference) on Case-based Reasoning. Trento, Italy. August, 2000.
• “Case Based Reasoning: Theory and Applications”, Invited talk at University of Alberta,
Canada, 1998.
• “Case-based Reasoning and Case-base Maintenance”, Invited talk at Information Sciences
Institute, USC, CA, USA, 1997.
• “Constraint based Planning”, JPL, Caltech, 1997.
• “Constraint Based Planning”, University of British Columbia, 1996.
• “Constraint Based Planning”, Invited Talk at University of Ottawa, Ottawa, Canada, 1994.
• “Planning with Constraint Satisfaction”, Invited Talk at University of Toronto, Canada, 1993.
• Various other invited talks at various universities and conferences.
Honors
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2012 Nokia Mobile Data Challenge: Champion of 2 in 3 tasks. June 2012.
CIKM 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. In: Proceedings of the 20th ACM Conference on Information and
Knowledge Management (CIKM 2011). Glasgow, UK. Oct 2011.
Third place in the rating prediction of ACM KDDCUP 2011, Yahoo! Music
Recommendation Challenge (Coach: Team Inner Peace), out of nearly 2,500 international
submissions.
Featured in MIT Technology Review Article: Ads that Match a Web Page's Images.
http://www.technologyreview.com/business/25833/?a=f
IEEE Fellow (2009-): for contributions to understanding and application of intelligent
planning, learning and data mining.
Champion (HKUST Team), 2005 ACM KDDCUP Data Mining Competition, Chicago,
USA. Aug 2005. ACM KDD2005
Champion: First International Competition on Knowledge Engineering for AI Planning
jointly held with ICAPS 2005 Conference, Monterey, CA, USA June 2005.
Champion of the 2004 ACM KDDCUP Competition, with Chinese Academy of Science
Team. ACM KDD2004
Co-winner of the 1996 Automated Software Engineering Conference best paper award
(With S. Woods an A. Quilici)
Co-winner of the 1994 Canadian AI Conference best paper award (with Craig Knoblock)
Publications
Books
1. Qiang Yang, Intelligent Planning --- A Decomposition and Abstraction Based Approach.
Springer-Verlag, Berlin Germany. 1997. (Research Monograph on classical planning.)
2. Steven Woods, Alex Quilici and Qiang Yang. Constraint-based Design Recovery for
Software Reengineering: Theory and Experiments. Kluwer Academic Publishers, Boston
USA. 1997. (Research monograph on applying constraint satisfaction in AI to software
program understanding and reverse engineering. Available at Amazon.com).
3. Charles Ling and Qiang Yang. Crafting Your Research Future. Morgan&Claypool
Publishers. May 2012, and Chinese Version, published by Tsinghua University Press.
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2013
Qiang Yang
Curriculum Vitae
Co-Editor for Conference Proceedings
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Wei Fan, Albert Bifet, Qiang Yang, Philip S. Yu (Eds.): Proceedings of the 2nd International
Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems,
Programming Models and Applications, BigMine 2013, Chicago, IL, USA, August 11, 2013.
ACM 2013, ISBN 978-1-4503-2324-6
Qiang Yang, Irwin King, Qing Li, Pearl Pu, George Karypis (Eds.): Seventh ACM
Conference on Recommender Systems, RecSys '13, Hong Kong, China, October 12-16, 2013.
ACM 2013, ISBN 978-1-4503-2409-0
Qiang Yang, Deepak Agarwal, Jian Pei (Eds.): The 18th ACM SIGKDD International
Conference on Knowledge Discovery and Data Mining, KDD '12, Beijing, China, August 1216, 2012. ACM 2012, isbn 978-1-4503-1462-6
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Masashi Sugiyama, Qiang Yang: Proceedings of the 2010 Asia Conference on Machine
Learning. Preface. Journal of Machine Learning Research - Proceedings Track 13: i-xiv
(2010)
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Bharat Rao, Balaji Krishnapuram, Andrew Tomkins, Qiang Yang: Proceedings of the 16th
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining,
Washington, DC, USA, July 25-28, 2010 ACM 2010
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Charles Rich, Qiang Yang, Marc Cavazza, Michelle X. Zhou. Proceedings of the 2010
International Conference on Intelligent User Interfaces, February 7-10, 2010, Hong Kong,
China.
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Masashi Sugiyama, Qiang Yang: Journal of Machine Learning Research – ACML 2010
Proceedings, Track 13: i-xiv (2010)
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Ronghuai Huang, Qiang Yang, Jian Pei, João Gama, Xiaofeng Meng, Xue Li: Advanced Data
Mining and Applications, 5th International Conference, ADMA 2009, Beijing, China, August
17-19, 2009. Proceedings Springer 2009
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Z.-H. Zhou, H. Li, and Q. Yang, eds. Advances in Knowledge Discovery and Data Mining
(Lecture Notes in Artificial Intelligence 4426) - Proceedings of the 11th Pacific-Asia
Conference on Knowledge Discovery and Data Mining (PAKDD'07), Berlin: Springer, 2007.
ISBN: 978-3-540-71700-3
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Qiang Yang, Geoffrey I. Webb: PRICAI 2006: Trends in Artificial Intelligence, 9th Pacific
Rim International Conference on Artificial Intelligence, Guilin, China, August 7-11, 2006,
Proceedings. Springer 2006. 1,259 pages.
Guest Editor in Journals:
• Co-guest Editor: IEEE Intelligent Systems Special Issue on Social Learning. July/August,
2010.
• Co-guest Editor: IEEE Intelligent Systems, Special Issue on Mobile Information Retrieval
(2009)
• IEEE Intelligent Systems, Special Issue on Machine Learning and Bioinformatics IEEE
Computer Society 2005
• IEEE/ACM Transactions on Computational Biology and Bioinformatics, Special Issue on
Machine Learning and Bioinformatics 2004
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2013
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Qiang Yang
Curriculum Vitae
IEEE Transactions on Data and Knowledge Engineering, Special Issue on Data Preparation
2004
IEEE Intelligent Systems, Special Issue on Mining the Web for Actionable Knowledge
IEEE Computer Society 2003
Applied Artificial Intelligence Journal, Special Issue on Data Cleaning and Preparation for
Data Mining. IEEE Computer Society. 2003
IEEE Intelligent System, Special Issue on Data and Information Cleaning and Preprocessing
IEEE Computer Society. 2003.
Computational Intelligence Journal, Special Issue on Case-base Maintenance, Blackwell
Publishers. (2001)
Guest Editor’s Introduction to Special Issues
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Qiang Yang, Zhi-Hua Zhou, Wenji Mao, Wei Li, Nathan Nan Liu. Social Learning. IEEE
Intelligent Systems, pp. 9-11, July/August, 2010.
Daqing Zhang, Matthai Philipose, Qiang Yang: Introduction to the special issue on intelligent
systems for activity recognition. ACM TIST 2(1): 1 (2011)
Flora S. Tsai, Minoru Etoh, Xing Xie, Wang-Chien Lee, Qiang Yang. Introduction to Mobile
Information Retrieval. IEEE Intelligent Systems, 25(1): 11-15 (2010).
Chengqi Zhang, Qiang Yang and Bing Liu: Guest Editors' Introduction: Special Section on
Intelligent Data Preparation. IEEE Trans. Knowl. Data Eng. 17(9): 1163-1165 (2005)
Charles X. Ling, William Stafford Noble, Qiang Yang: Guest Editors' Introduction to the
Special Issue: Machine Learning for Bioinformatics - Part 1. IEEE/ACM Trans. Comput.
Biology Bioinform. 2(2): 81-82 (2005)
Charles X. Ling, William Stafford Noble, Qiang Yang: Guest Editors' Introduction to the
Special Issue: Machine Learning for Bioinformatics - Part 2. IEEE/ACM Trans. Comput.
Biology Bioinform. 2(3): 177-178 (2005)
Jinyan Li, Limsoon Wong and Qiang Yang. Data Mining in Bioinformatics: Guest editor’s
Introduction to the Special Issue, IEEE Intelligent Systems. Nov/Dec 2005, 20(6), pages 16 - 18. IEEE Computer Society.
Qiang Yang, Craig A. Knoblock and Xindong Wu: Mining Actionable Knowledge on the
Web. IEEE Intelligent Systems 19(6): 30-31 (2004)
Shichao Zhang, Chengqi Zhang and Qiang Yang: Information Enhancement for Data Mining.
IEEE Intelligent Systems 19(2): 12-13 (2004)
S. Zhang, C. Zhang and Qiang Yang. Data Preparation for Data Mining. International Journal
of Applied Artificial Intelligence, Taylor and Francis. May/June 2003. Vol. 17 No. 5 (2003)
pages 375—382.
David B. Leake, Barry Smyth, David C. Wilson, and Qiang Yang: Introduction to the
Special Issue on Maintaining Case-Based Reasoning Systems. Computational Intelligence
17(2): 193-195 (2001)
Refereed Journal Articles (Please see:
http://scholar.google.com/citations?hl=en&user=1LxWZLQAAAAJ)
1. Weike Pan and Qiang Yang. Transfer Learning in Heterogeneous Collaborative Filtering
Domains. Artificial Intelligence Journal (AIJ), 197:39–55, April 2013.
2. Vincent W. Zheng, Yu Zheng, Xing Xie and Qiang Yang. Towards mobile intelligence:
Learning from GPS history data for collaborative recommendation. In Artificial Intelligence
Journal (AIJ), 184-185 (2012) 17-37.
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2013
Qiang Yang
Curriculum Vitae
3. Qian Xu, Evan Wei Xiang, Qiang Yang, Jiachun Du and Jieping Zhnog. SMS Spam
Detection using Non-content Features. In IEEE Intelligent Systems, 2012, DOI:
10.1109/MIS.2012.3. Accepted Nov 2011.
4. Jeffrey Junfeng Pan, Sinno Jialin Pan, Jie Yin, Lionel M. Ni, Qiang Yang, "Tracking Mobile
Users in Wireless Networks via Semi-Supervised Colocalization," IEEE Transactions on
Pattern Analysis and Machine Intelligence (IEEE PAMI), pp. 587-600, March, 2012
5. Qiang Yang, Vincent Zheng, H. Zhuo and Bin Li. Transfer Learning by Reusing Structured
Knowledge AI Magazine. Vol.32, No. 2. Summer 2011.
6. Derek Hao Hu, Vincent Wenchen Zheng and Qiang Yang. Cross-domain activity recognition
via transfer learning. Journal of Pervasive and Mobile Computing. Volume 7, Issue 3, June
2011, Pages 344-358.
7. Can Yang, Xiang Wan, Qiang Yang, Hong Xue, Nelson LS Tang and Weichuan Yu. A
hidden two-locus disease association pattern in genome-wide association studies. BMC
Bioinformatics 2011, 12:156,
8. Hui Xue, Songcan Chen, Qiang Yang: Structural Regularized Support Vector Machine: A
Framework for Structural Large Margin Classifier. IEEE Transactions on Neural Networks
22(4): 573-587 (2011)
9. Jeffrey Junfeng Pan, Sinno Jialin Pan, Jie Yin, Lionel M. Ni and Qiang Yang. Tracking
Mobile Users in Wireless Networks via Semi-Supervised Co-Localization. IEEE
Transactions on Pattern Analysis and Machine Intelligence (TPAMI), April 2011, accepted to
appear.
10. C. Yang, X. Wan, Z. He, Q. Yang and W. Yu. The choice of null distributions for detecting
gene-gene interactions in genome-wide association studies. BMC Bioinformatics. BMC
Bioinformatics 2011, 12(Suppl 1):S26. doi:10.1186/1471-2105-12-S1-S26. Feb 2011.
11. Bin Cao, Qiang Yang, Jian-Tao Sun, Zheng Chen: Learning bidirectional asymmetric
similarity for collaborative filtering via matrix factorization. Data Min. Knowl. Discov. 22(3):
393-418 (2011)
12. Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok and Qiang Yang. Domain Adaptation via
Transfer Component Analysis. In IEEE Transactions on Neural Networks (IEEE TNN).
Volume 22, Issue 2, Pages 199-210, February 2011.
13. Xiang Wan, Can Yang, Qiang Yang, Hong Xue, Nelson L. S. Tang and Weichuan Yu,
Detecting two-locus associations allowing for interactions in genome-wide association
studies. Bioinformatics (2010) 26 (20): 2517-2525. 2010.
14. Hankz Hankui Zhuo, Qiang Yang, Derek Hao Hu and Lei Li. Learning Complex Action
Models with Quantifiers and Logical Implications. In Artificial Intelligence Journal (AIJ).
Volume 174, Issue 18, December 2010, Pages 1540-1569. DOI information:
10.1016/j.artint.2010.09.007. 2010.
15. Qiang Yang. Three Challenges in Data Mining. Frontiers of Computer Science in China,
Volume 4, Number 3, pp. 324-333, DOI: 10.1007/s11704-010-0102-7
16. Xiang Wan, Can Yang, Qiang Yang, Hong Xue, Xiaodan Fan, Nelson Tang and Weichuan
Yu. BOOST: a fast approach to detecting gene-gene interactions in genome-wide casecontrol studies. The American Journal of Human Genetics, September 2010 (Vol. 87, Issue
3, pp. 325-340).
17. Wen Gao, YongHong Tian, Tiejun Huang and Qiang Yang. Vlogging: A survey of
videoblogging technology on the web. ACM Comput. Survey.Vol. 42, No. 4. (2010), pp. 157.
18. Qi Liu, Qian Xu, Vincent W Zheng, Hong Xue, Zhiwei Cao and Qiang Yang. Multi-task
learning for cross-platform siRNA efficacy prediction: an in-silico study. BMC
Bioinformatics 2010, 11:181, doi:10.1186/1471-2105-11-181
9
2013
Qiang Yang
Curriculum Vitae
19. Sinno Jialin Pan, Qiang Yang, A Survey on Transfer Learning, IEEE Transactions on
Knowledge and Data Engineering (IEEE TKDE), 22(10):1345-1359, Oct. 2010. IEEE
Computer Society, <http://doi.ieeecomputersociety.org/10.1109/TKDE.2009.191> (PDF)
20. Jun Yan, Ning Liu, Shuicheng Yan, Qiang Yang, Weiguo Fan, Wei Wei, Zheng Chen, "Trace
Oriented Feature Analysis for Large Scale Text Data Dimension Reduction," IEEE
Transactions on Knowledge and Data Engineering (IEEE TKDE), 09 Feb. 2010. IEEE
computer Society Digital Library. IEEE Computer Society,
http://doi.ieeecomputersociety.org/10.1109/TKDE.2010.34
21. Ke Zhou, Gui-Rong Xue, Qiang Yang, Yong Yu: Learning with Positive and Unlabeled
Examples Using Topic-Sensitive PLSA. IEEE Trans. Knowl. Data Eng. 22(1): 46-58 (2010)
22. Qian Xu, Sinno Jialin Pan, Hannah Hong Xue, Qiang Yang, "Multitask Learning for Protein
Subcellular Location Prediction," IEEE/ACM Transactions on Computational Biology and
Bioinformatics, IEEE/ACM TCBB. 2010
23. Evan Wei Xiang, Bin Cao, Derek Hao Hu, Qiang Yang. Bridging Domains Using World
Wide Knowledge for Transfer Learning. IEEE Trans. Knowl. Data Eng. 22(6): 770-783
(2010) (PDF)
24. Shichao Zhang, Qingfeng Chen, Qiang Yang: Acquiring knowledge from inconsistent data
sources through weighting. Data Knowl. Eng. 69(8): 779-799 (2010)
25. C. Yang, X. Wan, Q. Yang, H. Xue, N. Tang, and W. Yu. Identifying Main Effects and
Epistatic Interactions from Large-scale SNP Data via Adaptive Group Lasso. BMC
Bioinformatics 2010, 11(Suppl 1):S18. doi:10.1186/1471-2105-11-S1-S18
26. X. Wan, C. Yang, Q. Yang, H. Xue, N. Tang, and W. Yu. SNPRuler: Predictive Rule
Inference for Epistatic Interaction Detection in Genome-wide Association Studies.
Bioinformatics, 26:30-37, 2010.
27. Lionel M. Ni, Yanmin Zhu, Jian Ma, Qiong Luo, Yunhao Liu, S. C. Cheung, Qiang Yang,
Minglu Li, Min-You Wu: Semantic Sensor Net: an extensible framework. IJAHUC 4(3/4):
157-167 (2009)
28. Gui-Rong Xue, Jie Han, Yong Yu and Qiang Yang: User language model for collaborative
personalized search. ACM Trans. Inf. Syst. 27(2): (2009)
29. Qian Xu, Derek Hao Hu, Hong Xue, Weichuan Yu and Qiang Yang. Semi-supervised protein
subcellular localization. In BMC Bioinformatics Journal. 2009, 10:S47 doi:10.1186/14712105-10-S1-S47. (PDF)
30. Xiang Wan, Can Yang, Qiang Yang, Hong Xue, Nelson LS Tang and Weichuan Yu.
MegaSNPHunter: a learning approach to detect disease predisposition SNPs and high level
interactions in genome wide association study. In BMC Bioinformatics Journal. 2009,
10:13 doi:10.1186/1471-2105-10-13 (PDF)
31. Can Yang, Zengyou He, Qiang Yang, Hong Xue and Weichuan Yu. SNPHarvester: a
filtering-based approach for detecting epistatic interactions in genome-wide association
studies. Bioinformatics Journal. 2009 (doi:10.1093/bioinformatics/btn652) (PDF)
32. Hui Xue, Songcan Chen and Qiang Yang: Discriminatively regularized least-squares
classification. Pattern Recognition 42(1): 93-104 (2009)
33. Ben Niu, Qiang Yang, Simon Chi Keung Shiu and Sankar K. Pal: Two-dimensional
Laplacianfaces method for face recognition. Pattern Recognition 41(10): 3237-3243 (2008)
34. Qiang Yang, Sinno Jialin Pan, Vincent Wenchen Zheng, "Estimating Location Using Wi-Fi,"
IEEE Intelligent Systems, vol. 23, no. 1, pp. 8-13, Jan/Feb, 2008
10
2013
Qiang Yang
Curriculum Vitae
35. Chunyan Miao, Qiang Yang, Haijing Fang, Angela Goh: A cognitive approach for agentbased personalized recommendation. Knowl.-Based Syst. 20(4): 397-405 (2007)
36. Jie Yin, Qiang Yang, Dou Shen and Ze-Nian Li, Activity Recognition via User-Trace
Segmentation. ACM Transactions on Sensor Networks (TOSN), Volume 4 , No. 4 (August
2008). Article 19, 34 pages.
37. Jie Yin, Qiang Yang, Lionel M. Ni, Learning Adaptive Temporal Radio Maps for SignalStrength-Based Location Estimation, IEEE Transactions on Mobile Computing, vol. 7, no. 7,
pp. 869-883, Jul., 2008
38. Rong Pan, Qiang Yang and Sinno Jialin Pan. Mining Competent Case Bases for Case-based
Reasoning. Artificial Intelligence Journal (AIJ)171(16-17): 1039-1068 (2007)
39. Qiang Yang. Learning Actions from Data Mining Models. In Domain-driven Actionable
Knowledge Discovery, Longbing Cao (Eds.) IEEE Intelligent Systems. July-Aug. 2007
Volume: 22, Issue: 4 Pages: 78-88
40. Jie Yin, Qiang Yang, Jeffrey Junfeng Pan, Sensor-based Abnormal Human-Activity
Detection IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), IEEE
Computer Society Digital Library. IEEE Computer Society. 2007.
41. Jinyan Li and Qiang Yang. Strong Compound-Risk Factors: Efficient Discovery through
Emerging Patterns and Contrast Sets. IEEE Transactions on Information Technology in
Biomedicine. Vol. 11, No. 5, Sept 2007. pp. 544-552.
42. Jeffrey Junfeng Pan, Qiang Yang, Yiming Yang, Lei Li, Francis Tianyi Li and George
Wenmin Li. Cost-Sensitive-Data Preprocessing for Mining Customer Relationship
Management Databases, IEEE Intelligent Systems. (Vol. 22, No. 1). Pages 46-51.
January/February 2007
43. Qiang Yang, Kangheng Wu and Yunfei Jiang. Learning Action Models from Plan Traces
using Weighted MAX-SAT. Artificial Intelligence Journal (AIJ). Volume 171, Issues 23, February 2007, Pages 107-143
44. Xiaoyong Chai and Qiang Yang. Reducing the Calibration Effort for Probabilistic Indoor
Location Estimation. IEEE Transactions on Mobile Computing (IEEE TMC). June 2007
(Vol. 6, No. 6) pages 649-662.
45. Dou Shen, Qiang Yang, Zheng Chen. Noise Reduction through Summarization for Web-page
Classification. Information Processing and Management: an international journal
(IPM).43(6): 1735-1747 (2007)
46. Qiang Yang, Jie Yin, Charles X. Ling and Rong Pan. Extracting Actionable Knowledge from
Decision Trees. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE),
19(1) January 2007. Pages 43-56.
47. Dou Shen, Rong Pan, Jian-Tao Sun, Jeffrey J. Pan, Kangheng Wu, Jie Yin and Qiang Yang.
Query Enrichment for Web-query Classification. ACM Transactions on Information Systems
(ACM TOIS). Vol. 24, No. 3, July 2006 Pages 320-352.
48. Jun Yan, Benyu Zhang, Shuicheng Yan, Ning Liu, Qiang Yang, Qiansheng, Cheng, Hua Li,
Zheng Chen and Wei-Ying Ma. A Scalable Supervised Algorithm for Dimensionality
Reduction on Streaming Data 2006 Information Sciences 14 2042-2065
49. Jeffrey J. Pan, James T. Kwok, Qiang Yang and Yiqiang Chen. Multidimensional vector
regression for accurate and low-cost location estimation in pervasive computing. In IEEE
Transactions on Knowledge and Data Engineering (IEEE TKDE) (Vol. 18, No. 9) pp.
1181-1193 Sept. 2006.
50. Shuicheng Yan, D. Xu, L. Zhang, Q. Yang, X. Tang and H. Zhang. Multilinear Discriminant
Analysis for Face Recognition, IEEE Transactions on Image Processing (IEEE TIP), Vol.
16, No. 1 pp. 212-220. Jan. 2007.
51. Shuicheng Yan, D. Xu, B. Zhang, H. Zhang, Q. Yang and S. Lin. Graph Embedding and
Extensions: A General Framework for Dimensionality Reduction, IEEE Transactions on
Pattern Analysis and Machine Intelligence (IEEE PAMI). 29(1): 40-51 (2007)
11
2013
Qiang Yang
Curriculum Vitae
52. Yonghong Tian, Qiang Yang, Tiejun Huang, Charles X. Ling and Wen Gao. Learning
Contextual Dependency Network Models for Link-based Classification. IEEE Transactions
on Knowledge and Data Engineering (IEEE TKDE). November 2006 (Vol. 18, No. 11) pp.
1482-1496
53. Charles X. Ling, Victor S. Sheng, and Qiang Yang, Test Strategies for Cost-Sensitive
Decision Trees, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE),
18(8):1055- 1067. August 2006. (Digital Object Identifier 10.1109/TKDE.2006.131)
54. Yiqiang Chen, Qiang Yang, Jie Yin and Xiaoyong Chai. Power-efficient access-point
selection for indoor location estimation. IEEE Transactions on Knowledge and Data
Engineering (IEEE TKDE). 18(7):877:888. July 2006. Digital Object Identifier
10.1109/TKDE.2006.112.
55. David W. Aha, David McSherry and Qiang Yang. Advances in conversational case-based
reasoning. The Knowledge Engineering Review, Volume 20, Issue 03, pp 247-254 doi:
10.1017/S0269888906000531, Published online by Cambridge University Press. 08 May,
2006.
56. Qiang Yang, Charles X. Ling, Xiaoyong Chai, Rong Pan: Test-Cost Sensitive Classification
on Data with Missing Values. IEEE Trans. Knowl. Data Eng. (IEEE TKDE) 18(5): 626- 638.
May 2006.
57. Jun Yan, Ning Liu, Qiang Yang, Benyu Zhang, Qiansheng Cheng, and Zheng Chen: Mining
Adaptive Ratio Rules from Distributed Data Sources. Data Min. Knowl. Discov. 12 (DMKD
Journal) (2-3): 249-273 (May 2006)
58. Charles Ling and Qiang Yang: Discovering Classification from Data of Multiple Sources.
Data Min. Knowl. Discov. (DMKD Journal) 12(2-3): 181-201 (May 2006) (DOI:
10.1007/s10618-005-0013-7)
59. Gui-Rong Xue, Yong Yu, Dou Shen, Qiang Yang, Hua-Jun Zeng and Zheng Chen:
Reinforcing Web-object Categorization Through Interrelationships. Data Min. Knowl.
Discov. (DMKD Journal) 12(2-3): 229-248 (May 2006) (DOI: 10.1007/s10618-005-0015-5)
60. Jun Yan, Benyu Zhang, Ning Liu, Shuicheng Yan, Qiansheng Cheng, Weiguo Fan, Qiang
Yang, Wensi Xi and Zheng Chen. Effective and Efficient Dimensionality Reduction for
Large-scale and Streaming Data Preprocessing IEEE Transactions on Data and Knowledge
Engineering, (IEEE TKDE), (Vol. 18, No. 3) pp. 320-333. (Digital Object Identifier
10.1109/TKDE.2006.45) March 2006
61. Ke Wang, Senqiang Zhou, Qiang Yang and J.M.S. Yeung. Mining customer value: from
association rules to direct marketing, International Journal of Data Mining and Knowledge
Discovery (DMKD Journal), Vol. 11, No. 1, July 2005, 57-80
62. Dequan Li, Yan Fu, Ruixiang Sun, Charles X. Ling , Yonggang Wei , Hu Zhou, Rong Zeng ,
Qiang Yang , Simin He and Wen Gao. pFind: A novel database-searching software system
for automated peptide and protein identification via tandem mass
spectrometry Bioinformatics Journal.2005; 21(13): 3049-3050.
63. Chenyong Hu, Benyu Zhang, Y. Wang, Shuicheng Yan, Zheng Chen, Qiang Wang and Qiang
Yang. Learning Quantifiable Associations via Principal Spars Non-negative Matrix
Factorization, Intelligent Data Analysis: An International Journal, Vol. 9 Issue 6, pages: 603620. 2005.
64. Yan Fu, Qiang Yang, Ruixiang Sun, Dequan Li, Rong Zeng, Charles X. Ling, Wen Gao:
Exploiting the kernel trick to correlate fragment ions for peptide identification via tandem
mass spectrometry. Bioinformatics Journal 20(12): 1948-1954 (2004)
65. Qiang Yang, Ian Tianyi Li and Ke Wang, Building Association Rule Based Sequential
Classifiers for Web Document Prediction, Journal of Data Mining and Knowledge Discovery
(DMKD Journal), Volume 8, Issue 3, May 2004. Pp. 253-273.
12
2013
Qiang Yang
Curriculum Vitae
66. R.M. Shen, P. Han, F. Yang, Q. Yang. J. Huang. Data Mining and Case-based Reasoning for
Distance Learning. International Journal of Distance Learning Technologies. Special Issue
on Web-based Learning Systems. Vol. 1, No. 3, pp. 46--58. July--September 2003.
67. Qiang Yang, Yong Wang and Zhong Zhang. SANet: An Intelligent Service Agent Network
for Call-Center Scheduling. IEEE Transactions on Systems, Man and Cybernetics (IEEE
SMC Part A). Vol. 33, No. 3, May 2003. pp. 396--406.
68. Qiang Yang, Tianyi Li and Ke Wang. Web-log Cleaning for Constructing Sequential
Classifiers. In International Journal of Applied Artificial Intelligence, May/June 2003. Vol.
17 No. 5 (2003) Pages 431-441.
69. Qiang Yang and Henry Haining Zhang. Web-Log Mining for Predictive Caching. IEEE
Transactions of Knowledge and Data Engineering (IEEE TKDE). Vol. 15, No. 4,
July/August 2003. Pages 1050-1053.
70. Yi-Dong Shen, Jia-Huai You, Li-Yan Yuan, Samuel S. P. Shen and Qiang Yang. A Dynamic
Approach to Characterizing Termination of General Logic Programs, ACM Transactions on
Computational Logic (ACM TOCL). 4(4), Oct. 2003, pages 1-14
71. Qiang Yang, Joshua Huang and Michael Ng. A Data Cube Model for Prediction-Based Web
Prefetching. Journal of Intelligent Information Systems. Kluwer Academic
Publishers. 20(1): 11-30; Jan 2003
72. Zhong Su, Qiang Yang, Hong-Jiang Zhang, Xiaowei Xu, Yu-Hen Hu, S. Ma. Correlationbased Web-Document Clustering for Web Interface Design. International Journal
Knowledge and Information Systems. Springer. (KAIS Journal) 4(2):151-167. 2002
73. Zhong Zhang and Qiang Yang. Feature Weight Maintenance in Case Bases Using
Introspective Learning. Journal of Intelligent Information Systems, Springer. Vol. 16, Pages
95-116, 2001.
74. Qiang Yang and Henry Haining Zhang. Integrating Web Prefetching and Caching Using
Prediction Models. World Wide Web Journal. (WWW Journal) Kluwer Academic
Publishers. Vol. 4 No. 4, 2001. Pages 299-321.
75. Kirsti Racine and Qiang Yang. Redundancy Detection in Semi-structured Case Bases. In
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE). Vol. 13 No. 3
May/June 2001. Pages 513-518. IEEE Computer Society.
76. Qiang Yang and Jun Zhu. A Case-addition Policy for Case-based Reasoning. Computational
Intelligence Journal, Special Issue on Case-based Maintenance. Blackwell Publishers, Boston
MA UK. Vol. 17, No. 2, May 2001. Pages 250--262.
77. Qiang Yang and Jing Wu. Enhancing the Effectiveness of Interactive Case-Based Reasoning
with Clustering and Decision Forests In Applied Intelligence Journal. 14(1), pp. 49-64, 2001.
78. Sheng Li and Qiang Yang. ActiveCBR: An Agent System that Integrates Case-based
Reasoning and Active Databases. International Journal of Knowledge and Information
Systems (KAIS Journal). (May 2001) 3(2): 225-251. Springer-Verlag
79. Steven Woods and Qiang Yang. Program Understanding as Constraint Satisfaction:
Representation and Reasoning Techniques. Automated Software Engineering Journal, (ASE
Journal) Vol. 5, No. 2, Apr. 1998. Pages 147-181.
80. Alex Quilici, Qiang Yang and Steven Woods. Applying Plan Recognition Algorithms to
Program Understanding. In Automated Software Engineering Journal, Kluwer Aca demic
Publishers, (ASE Journal) 5(2): 147-181; Apr 1998.
81. Eugene Fink and Qiang Yang. Automatically Selecting and Using Primary Effects in
Planning: Theory and Experiments In Artificial Intelligence Journal (AIJ) 89 (1997) pages 130.
82. Qiang Yang, Josh Tenenberg and Steven Woods. On the Implementation and Evaluation of
ABTWEAK In Computational Intelligence Journal. Vol. 12, Number 2, 1996. Pages 295-318.
Blackwell Publishers.
13
2013
Qiang Yang
Curriculum Vitae
83. Subbarao Kambhampati, Craig Knoblock and Qiang Yang. Planning as Refinement Search:
A Unified Framework for Evaluating Design Tradeoffs in Partial-Order Planning. Artificial
Intelligence Journal (AIJ), Vol. 75, No. 3. 1995. Pages 167-238
84. Fahiem Bacchus and Qiang Yang, Downward Refinement and the Efficiency of Hierarchical
Problem Solving. Artificial Intelligence Journal (AIJ), Vol. 71, No. 1. 43-100, Nov. 1994.
85. Qiang Yang and Cheryl Murray. An Evaluation of the Temporal Coherence Heuristic for
Partial-Order Planning. Computational Intelligence Journal, Blackwell Publishers, pp. 245267, 10(3), 1994.
86. Qiang Yang, A Theory of Conflict Resolution in Planning. Artificial Intelligence Journal
(AIJ) Vol. 58, No. 1-3, pp. 361-392. 1992.
87. Dave E. Foulser, Ming Li and Qiang Yang, Theory and Algorithms for Plan Merging.
Artificial Intelligence Journal (AIJ), Vol. 57, No. 2-3, pp. 143-182. 1992.
88. Qiang Yang, Dana S. Nau and James Hendler, Merging Separately Generated Plans with
Restricted Interactions. Computational Intelligence Journal. Vol. 8, No. 4, pp. 648-676. 1992.
89. Raghu Karinthi, Dana S. Nau, and Qiang Yang, Handling Feature Interactions in ProcessPlanning. Journal of Applied Artificial Intelligence. Vol. 6, No. 4, October-December
Issue. Pages 389-415. Hemisphere Publishers. 1992.
90. Qiang Yang, Formalizing Planning Knowledge for Hierarchical Planning. Computational
Intelligence Journal, 6(2), (1990), pp. 12-24.
Refereed Conference Articles
1.
2.
3.
4.
5.
6.
7.
8.
9.
Yangqiu Song, Zhengdong Lu, Cane Wing-ki Leung, Qiang Yang. "Collaborative Boosting for
Activity Classification in Microblogs." In Proceedings of the ACM SIGKDD International Conference
on Knowledge Discovery and Data Mining (KDD'2013), August, 2013, Chicago, Illinois, USA. (PDF)
Erheng Zhong, Wei Fan, Yin Zhu, Qiang Yang, "Modeling the Dynamics of Composite Social
Networks", In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery
and Data Mining (KDD'2013), August, 2013, Chicago, Illinois, USA. (PDF)
Kaixiang Mo, Erheng Zhong, Qiang Yang, "Cross-Task Crowdsourcing", In Proceedings of the ACM
SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'2013), August,
2013, Chicago, Illinois, USA. (PDF)
Lili Zhao, Sinno Jialin Pan, Evan Wei Xiang, Erheng Zhong, Zhongqi Lu, Qiang Yang. "Active
Transfer Learning for Cross-System Recommendation." In: Proceedings of the 2013 AAAI
Conference, Bellevue, Washington, USA, July 2013 (PDF)
Tianqi Chen, Hang Li, Qiang Yang, Yong Yu, "General Functional Matrix Factorization Using
Gradient Boosting." In: Proceedings of the International Conference on Machine Learning (ICML)
2013, Atlanta, GA, USA. June 2013. (PDF)
Kai Zhang, Vincent Zheng, QIaojun Wang, James Kwok, Qiang Yang. "Covariate Shift in Hilber
Space: A Solution Via Sorrogate Kernels." In: Proceedings of the International Conference on
Machine Learning (ICML) 2013, Atlanta, GA, USA. June 2013. (PDF)
Ben Tan, Erheng Zhong, Evan Xiang, Qiang Yang, "Multi-Transfer: Transfer Learning with Multiple
Views and Multiple Sources."In Proceedings of 2013 SIAM International Conference on Data Mining
(SDM 2013), May, 2013, Austin, Texas, USA. (PDF)
Bin Wu, Erheng Zhong, Hao hu, Andrew Horner, Qiang Yang, "SMART: Semi-Supervised Music
Emotion Recognition with Social Tagging." In Proceedings of 2013 SIAM International Conference on
Data Mining (SDM 2013), May, 2013, Austin, Texas, USA. (PDF)
Zhongqi Lu, Erheng Zhong, Lili Zhao, Evan Xiang, Weike Pan, Qiang Yang, "Selective Transfer
Learning for Cross Domain Recommendation."In Proceedings of 2013 SIAM International Conference
on Data Mining (SDM 2013), May, 2013, Austin, Texas, USA (PDF)
10. Fangwei Hu, Tianqi Chen, Nathan Nan Liu, Qiang Yang, Yong Yu: Discriminative Factor
Alignment across Heterogeneous Feature Space. ECML/PKDD (2) 2012: 757-772
11. Weike Pan, Evan W. Xiang and Qiang Yang. Transfer Learning in Collaborative Filtering
with Uncertain Ratings. In Proceedings of the 26th AAAI Conference on Artificial
14
2013
Qiang Yang
Curriculum Vitae
Intelligence (AAAI-12). Toronto, Ontario, Canada. July 22-26, 2012. (PDF)
12. Tengfei Bao, Huanhuan Cao, Qiang Yang, Enhong Chen, Jilei Tian: A Demonstration of
Mining Significant Places from Cell ID Trajectories through a Geo-grid Based Approach.
MDM 2012: 328-331
13. Tengfei Bao, Huanhuan Cao, Qiang Yang, Enhong Chen, Jilei Tian: Mining Significant
Places from Cell ID Trajectories: A Geo-grid Based Approach. MDM 2012: 288-293
14. ErHeng Zhong, Wei Fan, Qiang Yang: Contextual Collaborative Filtering via Hierarchical
Matrix Factorization. SDM 2012: 744-755
15. Shu Rong, Xing Niu, Evan Wei Xiang, Haofen Wang, Qiang Yang, Yong Yu: A Machine
Learning Approach for Instance Matching Based on Similarity Metrics. International
Semantic Web Conference (1) 2012: 460-475
16. Mingsheng Long, Jianmin Wang, Guiguang Ding, Dou Shen and Qiang Yang. Transfer
Learning with Graph Co-Regularization. In Proceedings of the 26th AAAI Conference on
Artificial Intelligence (AAAI-12). Toronto, Ontario, Canada. July 22-26, 2012. (PDF)
17. Yin Zhu, Xiao Wang, Erheng Zhong, Nanthan N. Liu, He Li and Qiang Yang. Discovering
Spammers in Social Networks. In Proceedings of the 26th AAAI Conference on Artificial
Intelligence (AAAI-12). Toronto, Ontario, Canada. July 22-26, 2012. (PDF)
18. Fangtao Li, Sinno Jialin Pan, Ou Jin, Qiang Yang and Xiaoyan Zhu. Cross-Domain CoExtraction of Sentiment and Topic Lexicons. In: Proceedings of the 50th Annual Meeting of
the Association for Computational Linguistics (ACL 2012). Korea, July 2012. (PDF)
19. Haiping Ma, Huanhuan Cao, Qiang Yang, Enhong Chen and Jilei Tian, A Habit Mining
Approach for Discovering Similar Mobile Users, In Proceedings of the World Wide Web
Conference (WWW 2012). Leon, France. April 2012. Pages 231-240. (PDF)
20. Weizhu Chen, Dong Wang, Yuchen Zhang, Qiang Yang, Understanding Click Noise: A Noiseaware Click Model for Web Search, In 5th ACM Conference on Web Search and Data Mining
(ACM WSDM 2012), Seattle, Washington, USA, Feb 2012.
21. Danqi Chen, Weizhu Chen, Zheng Chen, Qiang Yang, Beyond Ten Blue Links: Enabling User
Click Modeling in Federated Web Search, In 5th ACM Conference on Web Search and Data
Mining (ACM WSDM 2012), Seattle, Washington, USA, Feb 2012.
22. Si Shen, Botao Hu, Weizhu Chen, Qiang Yang, Personalized Click Model through Collaborative
Filtering. In 5th ACM Conference on Web Search and Data Mining (ACM WSDM 2012),
Seattle, Washington, USA, Feb 2012.
23. Ou Jin, Nathan Nan Liu, Yong Yu and Qiang Yang. Transferring Topical Knowledge from
Auxiliary Long Text for Short Text Understanding. In: Proceedings of the 20th ACM Conference
on Information and Knowledge Management (CIKM 2011). Glasgow, UK. Oct 2011. (Best
interdisciplinary paper award)
24. Huayan Wang and Qiang Yang. Transfer Learning by Structural Analogy. In Proceedings of
the 25th AAAI Conference on Artificial Intelligence (AAAI-11). San Francisco, CA USA.
August, 2011.
25. Yin Zhu, Yuqiang Chen, Gui-Rong Xue, Sinno J. Pan, Zhongqi Lu, Yong Yu and Qiang
Yang. Heterogeneous Transfer Learning for Image Classification. In Proceedings of the 25th
AAAI Conference on Artificial Intelligence (AAAI-11). San Francisco, CA USA. August,
2011.
26. Luheng He and Nathan N. Liu and Qiang Yang. Active Dual Collaborative Filtering with
Both Item and Attribute Feedback. In Proceedings of the 25th AAAI Conference on
Artificial Intelligence (AAAI-11). San Francisco, CA USA. August, 2011.
27. Weizhu Chen, Zhanglong Ji, Si Shen, Qiang Yang. A Whole Page Click Model to Better
Interpret Search Engine Click Data. In Proceedings of the 25th AAAI Conference on
Artificial Intelligence (AAAI-11). San Francisco, CA USA. August, 2011.
28. Evan Wei Xiang, Sinno Jialin Pan, Weike Pan, Jian Su and Qiang Yang. Source-SelectionFree Transfer Learning. In Proceedings of the 22nd International Joint Conference on
15
2013
Qiang Yang
Curriculum Vitae
Artificial Intelligence (IJCAI'11), Barcelona, Spain, July 2011.
29. Weike Pan, Nathan N. Liu, Evan W. Xiang, Qiang Yang. Transfer Learning to Predict
Missing Ratings via Heterogeneous User Feedbacks. In Proceedings of the 22nd
International Joint Conference on Artificial Intelligence (IJCAI'11), Barcelona, Spain, July
2011.
30. Vincent W. Zheng and Qiang Yang. User-dependent Aspect Model for Collaborative Activity
Recognition. In Proceedings of the 22nd International Joint Conference on Artificial
Intelligence (IJCAI'11), Barcelona, Spain, July 2011.
31. Derek Hao Hu, Qiang Yang. Transfer Learning for Activity Recognition via Sensor Mapping.
In Proceedings of the 22nd International Joint Conference on Artificial Intelligence
(IJCAI'11), Barcelona, Spain, July 2011.
32. Bin Cao, Xiaochuan Ni, Jian-Tao Sun, Gang Wang, Qiang Yang. Distance Metric Learning
under Covariate Shift. In Proceedings of the 22nd International Joint Conference on
Artificial Intelligence (IJCAI'11), Barcelona, Spain, July 2011.
33. Fangtao Li, Nathan Liu, Hongwei Jin, Kai Zhao, Qiang Yang and Xiaoyan Zhu.
Incorporating Reviewer and Product Information for Review Rating Prediction. In
Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI'11),
Barcelona, Spain, July 2011.
34. Botao Hu, Yuchen Zhang, Weizhu Chen, Gang Wang and Qiang Yang, Characterize Search
Intent Diversity into Click Models, In In Proceedings of the 20th International World Wide
Web Conference (WWW-11), Hyderabad, India. March 29-April 1, 2011.
35. Hankz Hankui Zhuo, Qiang Yang, Rong Pan and Lei Li. Cross-Domain Action-Model
Acquisition for Planning via Web Search. In Proceedings of the International Conference on
Automated Planning and Scheduling (ICAPS-11), Freiburg, Germany, June 11-16, 2011.
36. Hankz Hankui Zhuo, Hector Muñoz-Avila and Qiang Yang. Learning Action Models for
Multi-Agent Planning. In Proceedings of the International Conference on Autonomous
Agents and Multiagent Systems (AAMAS-11), Taipei, Taiwan, May 2011.
37. Yuchen Zhang, Weizhu Chen, Dong Wang and Qiang Yang, User-click Modeling for
Understanding and Predicting Search-behavior, ACM KDD 2011. San Diego, CA USA.
August 2011.
38. Nathan Nan Liu, Xiangrui Meng, Chao Liu and Qiang Yang. Wisdom of the Better Few:
Cold Start Recommendation via Representative based Rating Elicitation. Proceedings of the
5th ACM Recommender Systems Conference (RecSys 2011). Chicago, USA, Oct 2011.
39. Qian Xu, Wei Xiang and Qiang Yang. Protein-protein Interaction Prediction via Collective
Matrix Factorization. In Proceedings of the IEEE International Conference on Bioinformatics
& Biomedicine. BIBM 2010. 18-21 Dec 2010. Hong Kong.
40. Bin Cao, Nathan Liu and Qiang Yang. Transfer Learning for Collective Link Prediction in
Multiple Heterogeneous Domains. In Proceedings of 27th International Conference on
Machine Learning (ICML 2010), Haifa, Israel. June 2010.
41. ErHeng Zhong, Wei Fan, Qiang Yang, Olivier Verscheure, Jiangtao Ren: Cross Validation
Framework to Choose amongst Models and Datasets for Transfer Learning. ECML/PKDD
(3) 2010: 547-562
42. Yuqiang Chen, Ou Jin, Guirong, Xue , Jia Chen and Qiang Yang,. Visual Contextual
Advertising: Bringing Textual Advertisements to Images. In Proceedings of the 24th AAAI
Conference on Artificial Intelligence (AAAI-10). Atlanta, Georgia, USA. July 11-15, 2010.
43. Sinno Jialin Pan, Xiaochuan Ni, Jian-Tao Sun, Qiang Yang and Zheng Chen. Cross-Domain
Sentiment Classification via Spectral Feature Alignment. In Proceedings of the 19th
International World Wide Web Conference (WWW-10). Raleigh, NC, USA. April 26-30,
2010
16
2013
Qiang Yang
Curriculum Vitae
44. Vincent W. Zheng, Yu Zheng, Xing Xie and Qiang Yang. Collaborative Location and
Activity Recommendations with GPS History Data. In Proceedings of 19th International
World Wide Web Conference (WWW-10). Raleigh, NC, USA, April 26-30, 2010.
45. Huayan Wang, Vincent W. Zheng, Junhui Zhao and Qiang Yang. Indoor Localization in
Multi-Floor Environments with Reduced Effort. In Proceedings of the 8th Annual IEEE
International Conference on Pervasive Computing and Communications (IEEE PerCom-10).
Mannheim, Germany, March 30-April 2, 2010. (PDF)
46. Vincent W. Zheng, Bin Cao, Yu Zheng, Xing Xie and Qiang Yang. Collaborative Filtering
Meets Mobile Recommendation: A User-centered Approach. In Proceedings of the 24th
AAAI Conference on Artificial Intelligence (AAAI-10). Atlanta, Georgia, USA. July 11-15,
2010. (PDF)
47. Bin Cao, Sinno Jialin Pan, Yu Zhang, Dit-Yan Yeung and Qiang Yang. Adaptive Transfer
Learning. In Proceedings of the 24th AAAI Conference on Artificial Intelligence (AAAI-10).
Atlanta, Georgia, USA. July 11-15, 2010. (PDF)
48. Bin Cao, Dou Shen, Kusansan Wang and Qiang Yang. Clickthrough Log Analysis by
Collaborate Ranking. In Proceedings of the 24th AAAI Conference on Artificial Intelligence
(AAAI-10). Atlanta, Georgia, USA. July 11-15, 2010. (PDF)
49. Weike Pan, Evan Xiang, Nathan Liu and Qiang Yang. Transfer Learning in Collaborative
Filtering for Sparsity Reduction. In Proceedings of the 24th AAAI Conference on Artificial
Intelligence (AAAI-10). Atlanta, Georgia, USA. July 11-15, 2010. (PDF)
50. Xiaoxiao Shi, Qi Liu, Wei Fan, Qiang Yang and Philip S. Yu, Predictive Modeling with
Heterogeneous Sources. In 2010 SIAM International Conference on Data Mining (SDM'10),
Columbus, Ohio, Apr 2010. (PDF)
51. Wei Fan, Erheng Zhong, Jing Peng, Olivier Verscheure, Kun Zhang, Jiangtao Ren, Rong Yan
and Qiang Yang, Generalized and Heuristic-Free Feature Construction, 2010 SIAM
International Conference on Data Mining (SDM'10), Columbus, OH, April, 2010.
52. Nathan N. Liu, Zhao Min and Qiang Yang. Probabilistic Latent Preference Analysis for
Collaborative Filtering. In Proceedings of the 18th ACM Conference on Information and
Knowledge Management (CIKM'09), Hong Kong, China, November 2-6, 2009.
53. Bin Cao, Jian-Tao Sun, Evan Wei Xiang, Derek Hao Hu, Qiang Yang, Zheng Chen. PQC:
Personalized Query Classification. In Proceedings of the ACM 18th Conference on
Information and Knowledge Management (CIKM'09), Hong Kong, China. November 2-6,
2009.
54. Dou Shen, Jianmin Wu, Bin Cao, Jian-Tao Sun, Qiang Yang, Ying Li. Exploiting Term
Relationship To Boost Text Classification. In Proceedings of the ACM 18th Conference on
Information and Knowledge Management (CIKM'09), Short Paper. Hong Kong, China.
November 2-6, 2009.
55. Derek Hao Hu, Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen. Context-Aware Online
Commercial Intention Detection. In Proceedings of the 2009 Asia Conference on Machine
Learning (ACML 2009), Nanjing, China, Nov 2-5, 2009.
56. Xiaoxiao Shi, Wei Fan, Qiang Yang, Jiangtao Ren: Relaxed Transfer of Different Classes via
Spectral Partition. ECML/PKDD (2) 2009: 366-381
57. Vincent W. Zheng, Derek H. Hu and Qiang Yang. Cross-Domain Activity Recognition. In
Proceedings of the 11th International Conference on Ubiquitous Computing (Ubicomp-09),
Orlando, Florida, USA, Sept.30-Oct.3, 2009.
58. Qiang Yang, Yuqiang Chen, Gui-Rong Xue, Wenyuan Dai and Yong Yu. Heterogeneous
Transfer Learning for Image Clustering via the Social Web. In Proceedings of the 47th
Annual Meeting of the ACL and the 4th IJCNLP of the AFNLP (ACL-IJCNLP'09),
Sinagpore, Aug 2009, pages 1–9. Invited Paper.
59. Bin Li, Qiang Yang, Xiangyang Xue Can Movies and Books Collaborate? Cross-Domain
Collaborative Filtering for Sparsity Reduction. In Proceedings of the Twenty-First
17
2013
60.
61.
62.
63.
64.
65.
66.
67.
68.
69.
70.
71.
72.
73.
74.
75.
Qiang Yang
Curriculum Vitae
International Joint Conference on Artificial Intelligence (IJCAI '09), Pasadena, CA, USA,
July 11-17, 2009.
Qiang Yang. Activity Recognition: Linking Low-level Sensors and High-level Intelligence.
In Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence
(IJCAI '09), Invited Paper. Pasadena, CA, USA, July 11-17, 2009.
Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok and Qiang Yang. Domain Adaptation via
Transfer Component Analysis. In Proceedings of the Twenty-First International Joint
Conference on Artificial Intelligence (IJCAI '09), Pasadena, CA, USA, July 11-17, 2009.
Derek Hao Hu, Xian-Xing Zhang, Jie Yin, Vincent Wenchen Zheng and Qiang Yang.
Abnormal Activity Recognition based on HDP-HMM Models. In Proceedings of the TwentyFirst International Joint Conference on Artificial Intelligence (IJCAI '09), Pasadena, CA,
USA, July 11-17, 2009.
Jie Yin, Derek Hao Hu and Qiang Yang. Spatio-temporal Event Detection Using Dynamic
Conditional Random Fields. In Proceedings of the Twenty-First International Joint
Conference on Artificial Intelligence (IJCAI '09), Pasadena, CA, USA, July 11-17, 2009.
Hankui Zhuo, Derek Hao Hu, Chad Hogg, Qiang Yang and Hector Munoz-Avila. Learning
HTN Method Preconditions and Action Models from Partial Observations. In Proceedings of
the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI '09),
Pasadena, CA, USA, July 11-17, 2009.
Bin Li, Qiang Yang, Xiangyang Xue Transfer Learning for Collaborative Filtering via a
Rating-Matrix Generative Model. In Proceedings of the 26th International Conference on
Machine Learning (ICML '09), Montreal, Canada, 2009.
Wenyuan Dai, Ou Jin, Gui-Rong Xue, Qiang Yang and Yong Yu. EigenTransfer: Learning
Graph Spectra for Transfer Learning. In Proceedings of the 26th International Conference on
Machine Learning (ICML '09), Montreal, Canada, 2009.
Huanhuan Cao, Derek Hao Hu, Dou Shen, Daxin Jiang, Jian-Tao Sun, Enhong Chen and
Qiang Yang. Context-aware Query Classification. In Proceedings of the The 32nd Annual
ACM SIGIR Conference (SIGIR '09), Boston MA USA, July 19-23 2009.
Rong Pan, Yunhong Zhou, Bin Cao, Nathan Nan Liu, Rajan M. Lukose, Martin Scholz,
Qiang Yang: One-Class Collaborative Filtering. ICDM 2008: 502-511
Jun Yan, Ning Liu, Qiang Yang, Weiguo Fan, Zheng Chen: TOFA: Trace Oriented Feature
Analysis in Text Categorization. ICDM 2008: 668-677
Wenyuan Dai, Yuqiang Chen, Gui-Rong Xue, Qiang Yang, and Yong Yu. Translated
Learning. In Proceedings of Twenty-Second Annual Conference on Neural Information
Processing Systems (NIPS 2008), December 8, 2008, Vancouver, British Columbia, Canada.
Hankui Zhuo, Lei Li, Qiang Yang and Rui Bian: Learning Action Models with Quantified
Conditional Effects for Software Requirement Specification. ICIC (1) 2008: 874-881
Hui Xue, Songcan Chen, Qiang Yang: Structural Support Vector Machine. ISNN (1) 2008:
501-511
Bin Cao, Jian-Tao Sun, Jianmin Wu, Qiang Yang and Zheng Chen, Learning Bidirectional
Similarity for Collaborative Filtering. In Proceedings of the 2008 European Conference on
Machine Learning and Principles and Practice of Knowledge Discovery in Databases
(ECML/PKDD 2008), Antwerp, Belgium. September 2008. pp. 178-194.
Derek Hao Hu, Sinno Jialin Pan, Vincent Wenchen Zheng, Nathan Nan Liu and Qiang Yang.
Real World Activity Recognition with Multiple Goals. In Proceedings of the Tenth
International Conference on Ubiquitous Computing (Ubicomp 2008), Seoul, South Korea
September, 2008. pages 30-39
Xiao Ling, Wenyuan Dai, Gui-Rong Xue, Qiang Yang, and Yong Yu. Cross-Domain Spectral
Learning. In Proceedings of the Fourteenth ACM SIGKDD International Conference on
Knowledge Discovery and Data Mining (ACM KDD 2008), Las Vegas, Nevada, USA,
August 24-27, 2008. 488-496
18
2013
Qiang Yang
Curriculum Vitae
76. Nathan Liu and Qiang Yang. EigenRank: Collaborative Filtering via Rank Aggregation. In
Proceedings of the 31st Annual International ACM SIGIR Conference (SIGIR-08),
Singapore, 20-24 July 2008.
77. Guirong Xue, Wenyuan Dai, Qiang Yang and Yong Yu. Topic-bridged PLSA for CrossDomain Text Classification. In Proceedings of the 31st Annual International ACM SIGIR
Conference(SIGIR-08), Singapore, 20-24 July 2008.
78. Guirong Xue, Dikan Xing, Qiang Yang and Yong Yu. Deep Classification in Large-scale
Text Hierarchies. In Proceedings of the 31st Annual International ACM SIGIR Conference,
Singapore(SIGIR-08), 20-24 July 2008.
79. Jian Hu, Hua-Jun Zeng, Hua Li, Zheng Chen, and Qiang Yang. Enhancing Text Clustering by
Leveraging Wikipedia Semantics. In Proceedings of the 31st Annual International ACM
SIGIR Conference (SIGIR-08), Singapore, 20-24 July 2008.
80. Hua-yan Wang, Qiang Yang and Hongbin Zha. Adaptive p-Posterior Mixture-Model Kernels
for Multiple Instance Learning. In Proceedings of the 25th International Conference On
Machine Learning (ICML-2008), Helsinki, Finland, July 5-9, 2008,
81. Hua-yan Wang, Qiang Yang, Hongbin Zha and Hong Qin. Dirichlet Component Analysis:
Feature Extraction for Compositional Data. In Proceedings of the 25th International
Conference On Machine Learning (ICML-2008), Helsinki, Finland. July 5-9, 2008.
82. Wenyuan Dai, Qiang Yang, Gui-Rong Xue and Yong Yu. Self-taught Clustering. In
Proceedings of the 25th International Conference on Machine Learning (ICML 2008),
Helsinki, Finland, 5-9 July, 2008.
83. Derek Hao Hu, Qiang Yang. CIGAR: Concurrent and Interleaving Goal and Activity
Recognition. In Proceedings of the 23rd AAAI Conference on Artificial Intelligence (AAAI08). Chicago, Illinois, USA. July 2008.
84. Sinno Jialin Pan, James T. Kwok and Qiang Yang. Transfer Learning via Dimensionality
Reduction. In Proceedings of the 23rd AAAI Conference on Artificial Intelligence (AAAI08). Chicago, Illinois, USA. July 2008.
85. Sinno Jialin Pan, Dou Shen, Qiang Yang and James T. Kwok. Transferring Localization
Models Across Space. In Proceedings of the 23rd AAAI Conference on Artificial Intelligence
(AAAI-08). Chicago, Illinois, USA. July 2008.
86. Vincent W. Zheng, Sinno Jialin Pan, Qiang Yang and Jeffrey J. Pan. Transferring Multidevice Localization Models using Latent Multi-task Learning. In Proceedings of the 23rd
AAAI Conference on Artificial Intelligence (AAAI-08). Chicago, Illinois, USA. July 2008.
87. Vincent W. Zheng, Evan W. Xiang, Qiang Yang and Dou Shen. Transferring Localization
Models Over Time. In Proceedings of the 23rd AAAI Conference on Artificial Intelligence
(AAAI-08). Chicago, Illinois, USA. July 2008. Rong Hu, Weizhu Chen, Jian Hu, Yansheng
Lu, Zheng Chen and Qiang Yang. Mining Translations of Web Queries from Web Clickthrough Data. In Proceedings of the 23rd AAAI Conference on Artificial Intelligence (AAAI08). Chicago, Illinois, USA. July 2008.
88. Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou and Qiang Yang. Constraint Projections for
Ensemble Learning. In Proceedings of the 23rd AAAI Conference on Artificial Intelligence
(AAAI-08). Chicago, Illinois, USA. July 2008.
89. Xiao Ling, Wenyuan Dai, Yun Jiang, Gui-Rong Xue, Qiang Yang and Yong Yu: “Can
Chinese Web Pages be Classified with English Data Source?” In Proceedings of the 17th
international conference on World Wide Web 2008. WWW 2008. Beijing, China.
90. Dou Shen, Toby Walker, Zijian Zheng, Qiang Yang, Ying Li. Personal Name Classification
in Web Queries. In Proceedings of the First ACM International Conference on Web Search
and Data Mining (WSDM 08). Stanford, California, USA. February 11-12, 2008.
91. Dikan Xing, Gui-Rong Xue, Qiang Yang and Yong Yu. Deep Classifier: Automatically
Categorizing Search Results into Large-scale Hierarchies. In Proceedings of the First ACM
19
2013
Qiang Yang
Curriculum Vitae
International Conference on Web Search and Data Mining (WSDM 08). Stanford, California,
USA. February 11-12, 2008.
92. Rong Pan, Junhui Zhao, Wenchen Zheng, Junfeng Pan, Dou Shen, Jialin Pan, and
Qiang Yang. Domain-Constrained Semi-Supervised Mining of Tracking Models in
Sensor Networks In: Proceedings of the 13th ACM SIGKDD International Conference on
Knowledge Discovery and Data Mining (ACM KDD'07), San Jose, California, USA, Aug
12-15, 2007. 1023--1027
93. Wenyuan Dai, Gui-Rong Xue, Qiang Yang and Yong Yu. Co-clustering based Classification
for Out-of-domain Documents. In Proceedings of the Thirteenth ACM SIGKDD International
Conference on Knowledge Discovery and Data Mining (ACM KDD'07), San Jose,
California, USA, Aug 12-15, 2007. Pages 210-219
94. Wenyuan Dai, Gui-Rong Xue, Qiang Yang and Yong Yu. Transferring Naive Bayes
Classifiers for Text Classification. In Proceedings of the 22nd AAAI Conference on
Artificial Intelligence (AAAI'07) Vancouver, British Columbia, Canada. July 2007. 540-545
95. Jeffrey Junfeng Pan, Qiang Yang and Sinno Jialin Pan. Online Co-Localization in Indoor
Wireless Networks. In Proceedings of the 22nd AAAI Conference on Artificial Intelligence
(AAAI'07) Vancouver, British Columbia, Canada. July 2007. 1102-1107
96. Sinno Jialin Pan, James T. Kwok, Qiang Yang, Jeffrey Junfeng Pan. Adaptive localization in
a dynamic WiFi environment through multi-view learning. In Proceedings of the 22nd AAAI
Conference on Artificial Intelligence (AAAI'07) Vancouver, British Columbia, Canada. July
2007. 1108-1113
97. Dou Shen, Min Qin, Weizhu Chen, Qiang Yang, Zheng Chen. Mining Web Query
Hierarchies from Clickthrough Data. In Proceedings of the 22nd AAAI Conference on
Artificial Intelligence (AAAI'07) Vancouver, British Columbia, Canada. July 2007. 341-346
98. Zhi-hua Zhou, D.C. Zhan, and Qiang Yang. Semi-supervised learning with very few labeled
training examples. In Proceedings of the 22nd AAAI Conference on Artificial Intelligence
(AAAI'07) Vancouver, British Columbia, Canada. July 2007. 675-680
99. Wenyuan Dai, Qiang Yang, Gui-Rong Xue and Yong Yu. Boosting for Transfer Learning. In
Proceedings of The 24th Annual International Conference on Machine Learning
(ICML'07) Corvallis, Oregon, USA, June 20-24, 2007. 193 - 200
100.
Bin Cao, Dou Shen, Jian-Tao Sun, Qiang Yang and Zheng Chen. Feature Selection in
a Kernel Space. In Proceedings of The 24th Annual International Conference on Machine
Learning (ICML'07). Oregon, USA. June 20-24, 2007. 121 - 128
101.
Xiaochuan Ni, Gui-Rong Xue, Xiao Ling, Yong Yu, Qiang Yang: Exploring in the
Weblog Space by Detecting Informative and Affective Articles, In Proc. of The 16th World
Wide Web Conference (WWW'07). May 8-12, 2007, Banff, Alberta, Canada. pp. 281 - 290
102.
Jeffrey J. Pan, Qiang Yang, Co-Localization from Labeled and Unlabeled Data Using
Graph Laplacian. To appear in the Twentieth International Joint Conference on Artificial
Intelligence (IJCAI-07). Hyderabad, India. Jan, 2007. pp. 2166-2171. (Regular paper,
acceptance rate: 15.7%)
103.
Bin Cao, Dou Shen, Jian-Tao Sun, Xuanhui Wang, Qiang Yang, Zheng Chen. Detect
and Track Latent Factors with Online Nonnegative Matrix Factorization. In Proceedings of
the Twentieth International Joint Conference on Artificial Intelligence (IJCAI 07).
Hyderabad, India. January 6-12, 2007. pp. 2689--2694, (Regular paper. Acceptance rate:
15.7%)
104.
Dou Shen, Jian-Tao Sun, Hua Li, Qiang Yang, Zheng Chen. Document
Summarization using Conditional Random Fields. In Proceedings of the Twentieth
International Joint Conference on Artificial Intelligence (IJCAI 07). Hyderabad, India.
January 6-12, 2007. pp. 2862-2867.
105.
Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen. Latent Friend Mining from Blog
Data. In Proceedings of the IEEE 6th International Conference on Data Mining (ICDM 06).
20
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Qiang Yang
Curriculum Vitae
Hong Kong, China. December 18-22, 2006. Pages 552-561. (Regular paper, acceptance rate:
10%)
106.
Hua Li, Dou Shen, Benyu Zhang, Zheng Chen, Qiang Yang. Adding Semantics to
Email Clustering. In Proceedings of the IEEE 6th International Conference on Data Mining
(ICDM 06). Hong Kong, China. December 18-22, 2006. Pages 938-942. (Short paper,
acceptance rate: 20%)
107.
Jun Yan, Ning Liu, Benyu Zhang, Qiang Yang, and Zheng Chen. A Novel Scalable
Algorithm for Supervised Subspace Learning. In Proceedings of the IEEE 6th International
Conference on Data Mining (ICDM 06). Hong Kong, China. December 18-22, 2006. Pages
721-730. (Regular paper, acceptance rate: 10%)
108.
Jilin Chen, Benyu Zhang, Jun Yan, and Qiang Yang. Diverse Topic Phrase
Extraction through Latent Semantic Analysis. In Proceedings of the IEEE 6th International
Conference on Data Mining (ICDM 06). Hong Kong, China. December 18-22, 2006. Pages
834-838. (Short paper, acceptance rate: 20%)
109.
Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen. Text Classification Improved
through Multigram Models. In Proceedings of the ACM Fifteenth Conference on Information
and Knowledge Management (CIKM 06). Arlington, USA. November 6-11, 2006. 672-681
(12 %)
110.
Jeffrey J. Pan, Qiang Yang, Hong Chang, Dit-Yan Yeung. A Manifold
Regularization Approach to Calibration Reduction for Sensor-Network Based Tracking. In
the Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI06). Regular paper. 2006. Pages 988-993. (21%)
111.
Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen. Building Bridges for Web Query
Classification. In Proceedings of the 29th ACM International Conference on Research and
Development in Information Retrieval (ACM SIGIR’06). Seattle, USA, August 6-11, 2006.
131-138 (19%)
112.
Dou Shen, Qiang Yang, Jian-Tao Sun, Zheng Chen. Thread Detection in Dynamic
Text Message Streams . In Proceedings of the 29th ACM International Conference on
Research and Development in Information Retrieval (ACM SIGIR’06). Seattle, USA,
August 6-11, 2006. 35-42. (19%)
113.
Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen. A Comparison of Implicit and
Explicit Links for Web Page Classification. Proceedings of the World Wide Web Conference
2006 (WWW'06). 2006. pp. 643-650 (11%)
114.
Jie Yin and Q. Yang. Integrating Hidden Markov Models and Spectral Analysis for
Sensory Time Series Clustering. In: Proceedings of the Fifth IEEE International Conference
on Data Mining (IEEE ICDM 05), New Orleans, Louisiana, USA, November 2005. 506513 (14%)
115.
Dong Zhuang, Benyu Zhang, Qiang Yang and Zheng Chen, Efficient Text
Classification by Weighted Proximal SVM. In: Proceedings of the Fifth IEEE International
Conference on Data Mining (IEEE ICDM 05), New Orleans, Louisiana, USA, November
2005. 538-545 (14%)
116.
Shengli Sheng, Charles X. Ling and Qiang Yang. Simple Test Strategies for CostSensitive Decision Trees. In Proceedings of the 16th European Conference on Machine
Learning, (ECML 2005). Porto, Portugal. October 2005. Pages 365-376 (20%)
117.
Yidong Shen and Qiang Yang. Deriving a Stationary Dynamic Bayesian Network
from a Logic Program with Recursive Loops. Proceedings of the 15th International
Conference on Inductive Logic Programming, (ILP 2005) Springer LNAI 3625. August
2005. Bonn, Germany. Pages 330-347 (27%)
118.
Xiaoyong Chai and Qiang Yang, Multiple-Goal Recognition From Low-level
Signals. Proceedings of the Twentieth National Conference on Artificial Intelligence, AAAI
2005, Pittsburg, PA USA, July 2005. Pages 3--8. (28%)
21
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Qiang Yang
Curriculum Vitae
119.
Jie Yin, Dou Shen, Qiang Yang and Ze-nian Li Activity Recognition through GoalBased Segmentation. Proceedings of the Twentieth National Conference on Artificial
Intelligence, AAAI 2005, Pittsburg, PA USA, July 2005. Pages 28--33. (28%)
120.
Rong Pan, Qiang Yang, Junfeng Pan and Lei Li Competence Driven Case-Base
Mining, Proceedings of the Twentieth National Conference on Artificial Intelligence, AAAI
2005, Pittsburg, PA USA, July 2005. Pages 228--233. (Oral presentation, 18%)
121.
Junfeng Pan, James Kwok, Qiang Yang and Yiqiang Chen. Accurate and Low-cost
Location Estimation Using Kernels. In Proceedings of the 2005 International Joint
Conference on Artificial Intelligence, IJCAI 2005, Edinburgh, Scotland, UK, July--Aug
2005. Pages 1366-1370. (18%)
122.
Qiang Yang, Kangheng Wu and Yunfei Jiang, Learning Action Models from Plan
Examples with Incomplete Knowledge. In Proceedings of the 2005 International Conference
on Automated Planning and Scheduling, (ICAPS 2005) Monterey, CA USA June
2005. Pages 241--250. (31%)
123.
Jiantao Sun, Dou Shen, HuaJun Zeng, Qiang Yang, Yuchang Lu and Zheng Chen.
Web Page Summarization Using Clickthrough Data. In Proceedings of the 28th annual
international conference on Research and development in information retrieval. Salvador,
(ACM SIGIR ) Brazil, August 2005. Pages 194--201 (20%)
124.
Gui-Rong Xue, Qiang Yang, Hua-Jun Zeng, Yong Yu, Zheng Chen, Exploiting the
Hierarchical Structure for Web Link Analysis. Proceedings of the 28th annual international
conference on Research and development in information retrieval. Salvador, (ACM SIGIR )
Brazil, August 2005. Pages: 186 - 193. (20%)
125.
Gui-Rong Xue, Chenxi Lin, Qiang Yang, WenSi Xi, Hua-Jun Zeng, Yong Yu, Zheng
Chen. Scalable Collaborative Filtering Using Cluster-based Smoothing. Proceedings of the
28th annual international conference on Research and development in information retrieval.
Salvador, (ACM SIGIR ) Brazil, August 2005. Pages 114--121. (20%)
126.
Jie Yin, Qiang Yang and Lionel Ni. Adaptive Temporal Radio Maps for Indoor
Location Estimation. In Proceedings of the 3rd Annual IEEE International Conference on
Pervasive Computing and Communications (IEEE PerCom 2005), Kauai Island, Hawaii,
March, 2005. Pages 85--94. (17%)
127.
Xiaoyong Chai and Qiang Yang. Reducing the Calibration Effort for Location
Estimation Using Unlabeled Samples. In Proceedings of the 3rd Annual IEEE International
Conference on Pervasive Computing and Communications, (IEEE PerCom 2005) Kauai
Island, Hawaii, March 2005. Pages 95--104. (17%)
128.
Shuicheng Yan; Dong Xu; Qiang Yang; Lei Zhang; Xiaoou Tang; Hong-Jiang
Zhang; Discriminant Analysis with Tensor Representation Proceedings of the IEEE
Computer Society Conference on Computer Vision and Pattern Recognition, 2005, (CVPR
2005). Volume 1, San Diego, USA, 20-26 June 2005 Pages: 526 - 532. (6.5%)
129.
Jun Yan, QianSheng Cheng, Qiang Yang and Benyu Zhang: An Incremental
Subspace Learning Algorithm to Categorize Large Scale Text Data. Proceedings of 7th AsiaPacific Conference on Web Technologies Research and Development, APWeb
2005, Shanghai China, March 2005. Pages 52-63. LNCS 3399. (17%)
130.
Chenyong Hu, Yongji Wang, Benyu Zhang, Qiang Yang, Qing Wang, Jinhui Zhou,
Ran He and Yun Yan: Mining Quantitative Associations in Large Database. Proceedings of
7th Asia-Pacific Conference on Web Technologies Research and Development, APWeb
2005, Shanghai China, March 2005. Pages 405-416. LNCS 3399. (17%)
131.
Yiming Yang, Qiang Yang, Jialin Pan, Rong Pan Preprocessing Time Series Data for
Classification with Application to CRM. In: Proceedings of the 2005 Australian Conference
on Artificial Intelligence, AI'05, Sydney, Australia. Dec 2005. (14%)
132.
Ning Liu, Benyu Zhang, Jun Yan , Qiang Yang, Shuicheng Yan, Zheng Chen,
Fengshan Bai and Wei-Ying Ma. Learning Similarity Measures in Non-Orthogonal
22
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Qiang Yang
Curriculum Vitae
Spaces. Thirteenth ACM Conference on Information and Knowledge Management (ACM
CIKM 2004), November 8-13, 2004. Washington DC, USA. (19 %)
133.
Qiang Yang, Yiqiang Chen, Jie Yin and Xiaoyong Chai: LEAPS: A Location
Estimation and Action Prediction System in a Wireless LAN Environment. Network and
Parallel Computing, IFIP International Conference, NPC 2004, Wuhan, China, October 1820, 2004, Proceedings. Lecture Notes in Computer Science 3222 Springer 2004 pages 584591 (14%)
134.
Xiaoyong Chai, Lin Deng, Qiang Yang and Charles X. Ling. Test-cost Sensitive
Naive Bayesian Classification. Proceedings of the 2004 IEEE International Conference on
Data Mining (ICDM-2004). Brighton, United Kingdom, November 2004. IEEE Computer
Society. 51-58. (9 %)
135.
Chenyong Hu, Benyu Zhang, Shuicheng Yan, Qiang Yang, Zheng Chen and Weiying
Ma. Mining Ratio Rules Via Principal Sparse Non-Negative Matrix Factorization.
Proceedings of the 2004 IEEE International Conference on Data Mining ( IEEE ICDM2004). Brighton, United Kingdom, November 2004. 407-410 (9%)
136.
Gui-Rong Xue, Dou Shen, Qiang Yang, Hua-Jun Zeng, Zheng Chen, and Wei-Ying
Ma. IRC: An Iterative Reinforcement Categorization Algorithm for Interrelated Web Objects.
Proceedings of the 2004 IEEE International Conference on Data Mining (IEEE ICDM2004). Brighton, United Kingdom, November 2004. IEEE Computer Society. Pp. 273-280.
(9%)
137.
Yi-Dong Shen, Zhi-Yong Shen, Shi-Ming Zhang and Qiang Yang, Cluster Coresbased Clustering for High Dimensional Data, Proceedings of the 2004 IEEE International
Conference on Data Mining (IEEE ICDM-2004). Brighton, United Kingdom, November
2004. IEEE Computer Society. Pp. 519-522. (9%)
138.
Jun Yan, Benyu Zhang, Shuicheng Yan, Qiang Yang, Hua Li, Zheng Chen, Wensi
Xi, Weiguo Fan, Wei-Ying Ma, Qiansheng Cheng: IMMC: incremental maximum margin
criterion. Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge
Discovery and Data Mining (ACM KDD 2004), Seattle, Washington, USA, August 22-25,
2004. 725-730 (12%)
139.
Rong Pan, Qiang Yang and Lei Li. Case retrieval using nonlinear feature-space
transformation. 2004 European Conference on Case Based Reasoning (ECCBR 2004).
Madrid, Spain, 2004. 361-374
140.
Yan Fu, Qiang Yang, C. X. Ling and Wen Gao. A Kernel-based Case Retrieval
Algorithm with Application to Bioinformatics. 2004 Pacific Rim Artificial Intelligence
Conference (PRICAI 2004), Auckland, NZ, Aug 2004. 544-553 (26%)
141.
Jie Yin, Xiaoyong Chai and Qiang Yang, High-level Goal Recognition in a Wireless
LAN. In Proceedings of the Nineteenth National Conference on Artificial Intelligence
(AAAI-04), San Jose, CA USA, July 2004. 578-584 (26.5%)
142.
Charles X. Ling, Qiang Yang, Jianning Wang and Shichao Zhang. Decision Trees
with Minimal Costs. In the Twentieth-First International Conference on Machine (ICML
2004), Banff, Alberta, Canada, July 2004. pages 69—77. (32%)
143.
Shen Dou, Zheng Chen, Wei-Ying Ma, Benyu Zhang, Hua-Jun Zeng, Qiang Yang,
Yuchang Lu. Web-page Classification through Summarization. In Proceedings of the 27th
ACM International Conference of Information Retrieval (ACM SIGIR 2004). Shefield,
UK. July 2004. 242-249 (21%)
144.
Qiming Huang, Qiang Yang, Joshua ZX Huang, Michael Ng. Mining of Web-page
Visiting Patterns with Continuous Time Markov Models. In Proceedings of the Eighth
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2004). May,
2004. 549-558 (21%)
145.
Qiang Yang, Jie Yin, Charles Ling, and Tielin Chen, Postprocessing Decision Trees
to Extract Actionable Knowledge Proceedings of the 2003 IEEE International Conference
23
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Qiang Yang
Curriculum Vitae
on Data Mining (IEEE ICDM 2003). Florida, USA, November 2003. IEEE Computer
Society. Pp. 685—688. (12%)
146.
Raymond Chan, Qiang Yang, and Yi-Dong Shen, Mining High Utility Itemsets
Proceedings of the 2003 IEEE International Conference on Data Mining (IEEE ICDM
2003). Florida, USA, November 2003. IEEE Computer Society. Pp 19—26. (12%)
147.
Qiang Yang and Hong Cheng. Mining High Utility Plans from Plan Databases.
Proceedings of the 2003 IEEE International Conference on Data Mining (IEEE ICDM
2003). Florida, USA, November 2003. IEEE Computer Society. Pp 403—410. (12%)
148. Qiang Yang and Hong Cheng. Case Mining from Large Databases. Proceedings of the 5th
International Conference on Case based Reasoning (ICCBR 2003). Trondheim, Norway.
June 2003. Pages 691-702 (21%)
149. Yidong Shen, Qiang Yang, Zhong Zhang and Hongjun Lu. Mining the Customer's Up-toMoment Preferences for E-commerce Applications. Pacific Asia Knowledge Discovery and
Data Mining Conference (PAKDD 2003), South Korea, 2003. Pages 166-177 (18%)
150. Qiang Yang and Hong Cheng. Planning for Marketing Campaigns. In Proceedings of the
2003 International Conference on Automated Planning and Scheduling (ICAPS 03), Trento,
Italy, June 2003. Pages 174--184. (35%)
151. Chunyan Miao, Qiang Yang, Haijing Fang and Angela Goh. Fuzzy Cognitive Agents for
Personalized Recommendation. In Proceedings of the 3rd International Conference on Web
Information Systems Engineering (WISE 02), Singapore. December 2002. IEEE Computer
Society. Pages 362—371.
152. Qiang Yang and Hong Cheng. Case Mining for Action Recommendations. Proceedings of
the 2002 IEEE International Conference on Data Mining (IEEE ICDM 2002). Japan,
December 2002. IEEE Computer Society. Pages 522—529. (20%)
153. Yi-dong Shen, Zhong Zhang and Qiang Yang. Objective-Oriented Data Mining.
Proceedings of the 2002 IEEE International Conference on Data Mining (IEEE ICDM
2002). Japan, December 2002. IEEE Computer Society. Pages 426—433. (20%)
154. Charles Ling, Tielin Chen, Qiang Yang, Jie Chen. Mining Optimal Actions for Intelligent
CRM. Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM
2002) Conference. Japan, December 2002. IEEE Computer Society. Pages 767—770.
(20%)
155. Ruimin Shen, Peng Han, Fan Yang, Qiang Yang and Joshua Z. Huang An Open
Framework for Smart and Personalized Distance Learning. International Conference on Webbased Learning. ICWL 2002. August 2002. Hong Kong. Pages19-30.
156. W. Lou, G. Liu, H. Lu, and Qiang Yang. Cut-and-Pick Transactions for Proxy Log Mining.
Proceedings of the 2002 Conference on Extending Database Technology (EDBT 02). March
24-28 2002, Prague. Pp. 88 --105 (17%)
157. Qiang Yang, Henry Haining Zhang and Ian Tianyi Li. Mining High-Quality Cases for
Hypertext Prediction and Prefetching. 2001 International Conference on Case Based
Reasoning (ICCBR 2001). Vancouver BC, Canada. July 2001. Published by Springer-Verlag,
Edited by David Aha and Ian Watson. Pp 744 – 756.
158. Qiang Yang, Henry Haining Zhang, Ian T.Y. Li and Ye Lu. Mining Web Logs to Improve
Web Caching and Prefetching. Proceedings of the 2001 IEEE Conference on Web
Intelligence Dec 2001. Japan. Pages 483 – 492
159. Qiang Yang, Henry H. Zhang and Ian T.Y. Li. Mining Web Logs for Prediction Models in
WWW Caching and Prefetching . Seventh ACM SIGKDD International Conference on
Knowledge Discovery and Data Mining, (ACM KDD'01), August 26 - 29, 2001 San
Francisco, California, USA. pp 473 – 478 (25.6%)
160. Peng Han, Ruimin Shen, Fan Yang, Qiang Yang: The Application of Case Based Reasoning
on a Q&A System. In Proceedings of the Australian Joint Conference on Artificial
Intelligence 2002: (AI 02) Australia, 2002. Pages 704-713
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Curriculum Vitae
161. Zhong Su, Qiang Yang and Hong-Jiang Zhang. A Prediction System for Multimedia Prefetching on the Internet. In Proceedings of the 2000 ACM Multimedia Conference 2000,
(ACM MM), October 2000, L.A. CA USA. Pages 3 –11. (16.8%)
162. Ye Lu, Chunhui Hu, Xingguan Zhu, Hong Jiang Zhang and Qiang Yang. A Unified
Framework for Semantics and Feature Based Relevance Feedback in Image Retrieval
Systems. In Proceedings of the 2000 ACM Multimedia Conference 2000, October 2000,
(ACM MM) L.A. CA USA. Pages 31 – 37. (16.8%)
163. Qiang Yang, Hai-Feng Wang, Ji-Rong Wen, Gao Zhang, Ye Lu, Kai-Fu Lee and HongJiang Zhang. Towards a Next Generation Search Engine In Proceedings of the Sixth Pacifiic
Rim Artificial Intelligence Conference (PRICAI 2000), Melborne, Australia, August, 2000.
Pages 5 – 15. (35%)
164. Zhong Su, Qiang Yang, Ye Lu and Hong Jiang Zhang. WhatNext: A Prediction System for
Web Requests using N-gram Sequence Models. In First International Conference on Web
Information Systems and Engineering Conference. Hong Kong, June 2000 Pages 214 – 221.
165. Qiang Yang and Jing Wu. Keep It Simple: A Case Base Maintenance Policy based on
Clustering and Information Theory. In Proceedings of the Canadian AI Conference 2000
Montreal Canada, May 2000. Pages 102 – 114.
166. Yong Wang, Qiang Yang and Zhong Zhang Real-Time Scheduling for Multi-Agent Call
Center Automation. In Proceedings of the European Artificial Intelligence Planning
Conference '99. (ECP 99) United Kingdom, September 8 --10, 1999. Pages 187 – 199.
167. Zhong Zhang and Qiang Yang. Dynamic Refinement of Feature-Weights in CBR Using
Quantitative Introspective Learning. In International Joint Conference in Artificial
Intelligence 1999 (IJCAI-99) August 1999. Pages 228 – 233. (26%)
168. Jun Zhu and Qiang Yang. Remembering to Add: Competence-preserving Case Addition
Policies for Case Base Maintenance. In International Joint Conference in Artificial
Intelligence 1999 (IJCAI-99). August 1999. Pages 234 – 241. (26%)
169. Christina Carrick and Qiang Yang and Irene Abi-Zeid and Luc Lamontagne. Activating
CBR Systems through Autonomous Information Gathering. In International Conference on
Case Based Reasoning '99 (ICCBR-99), Germany. July 1999. Pages 74 – 88. (30%)
170. Irene Abi-Zeid and Qiang Yang and Luc Lamontagne. Is CBR Applicable to the
Coordination of Search and Rescue Operations? A Feasibility Study. In International
Conference on Case Based Reasoning '99 (ICCBR-99), Germany. July 1999. Pages 358 –
371. (30%)
171. Sandra Hayden, Chirstina Carrick and Qiang Yang. Architectural Design Patterns for
Multiagent Coordination. In Proceedings of the 3rd International Conference on Autonomous
Agents ‘99. Seattle, WA May 1999. Pages 412 – 413.
172. Qiang Yang, I. Abi-Zeid and L. Lamontagne. ASISA: Agent Systems for Intelligent
Situation Assessment. In Proceedings of the 1998 International Conference on AI
Methodologies, Systems and Applications, (AIMSA 98) Bulgaria, October 1998. Pages 466 –
474.
173. Zhong Zhang and Qiang Yang, Towards Lifetime Maintenance of Case Base Indexes for
Continual Case Based Reasoning. In Proceedings of the 1998 International Conference on AI
Methodologies, Systems and Applications (AIMSA98), Bulgaria, October 1998. Pages 489 –
500.
174. Kirsti Racine and Qiang Yang. Maintaining Unstructured Case Bases. In Proceedings of the
1997 International Conference on Case Based Reasoning, (ICCBR 97) RI, USA 1997. Pages
553-564 (27%)
175. Alex Quilici, Qiang Yang and Steve Woods. Applying Plan Recognition Algorithms to
Program Understanding. In Proceedings of the Knowledge Based Software Engineering
Conference. (KBSE 96) Syracuse, New York, September 1996. Pages 96-103. Winner of
Best paper award.
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Qiang Yang
Curriculum Vitae
176. Steven Woods and Qiang Yang. The Program Understanding Problem: Analysis and A
Heuristic Approach. In Proceedings of the 18th International Conference on Software
Engineering (ICSE-96), Berlin, Germany, March 1996. IEEE Computer Society Press.
Pages 6 – 15. (24%)
177. Steven Woods and Qiang Yang. Program Understanding as Constraint Satisfaction. In
Proceedings of the International Working Conference on Reverse Engineering (WCRE-95),
Toronto, Canada, July 1995. pp. 314 -- 323.
178. Philip W.L. Fong, Edward Kim and Qiang Yang. Applying Design Patterns to State-Space
Search Applications Proceedings of the 3rd Annual Conference on the Pattern Languages of
Programs. Monticello, Illinois, Sept 1996. Chapter 8.2.
179. Eugene Fink and Qiang Yang. Planning with Primary Effects: experiments and analysis In
Proceedings of the International Conference on Artificial Intelligence (IJCAI-95), Montreal,
Canada, August 1995. Pages 1606-1612. (22%)
180. Craig Knoblock and Qiang Yang, Evaluating the tradeoffs in Partial-Order Planning
Algorithms, Proceedings of the Canadian Artificial Intelligence Conference (AI '94), May
1994, Banff, Alberta, Canada. Pages 279-286. Winner of the Best Paper Award. : CSCSI.
181. Qiang Yang and Alex Y.M. Chan, Delaying Variable Binding Commitments in Planning.
Proceedings of the Second International Conference On AI Planning And Scheduling Systems
(AIPS-94), June 1994, Chicago, USA. Pages 182-187. AAAI.
182. Qiang Yang, Shuo Bai and GuiYou Qiu, A Framework for Automatic Problem
Decomposition in Planning. Proceedings of the Second International Conference On AI
Planning And Scheduling Systems (AIPS-94), June 1994, Chicago, USA. pages 347-352.
AAAI Press.
183. Eugene Fink and Qiang Yang, Characterizing and Automatically Finding Primary Effects in
Planning. 13th International Joint Conference on Artificial Intelligence (IJCAI-93), August
1993, Chambery, France. Pages 1374-1379. IJCAI Inc.
184. Fahiem Bacchus and Qiang Yang, The Expected Value of Hierarchical Problem-Solving.
Proceedings of the Tenth National Conference on Artificial Intelligence (AAAI-92), July
1992, San Jose, CA. pages 369-374. AAAI Press.
185. Eugene Fink and Qiang Yang Automatically Abstracting the Effects of Operators. In
Proceedings of the First International Conference on AI Planning Systems (AIPS-92), June
1992, Maryland, USA. Pages 243-251. AAAI Press.
186. Eugene Fink and Qiang Yang, Formalizing Plan Justifications. Proceedings of the
Canadian Artificial Intelligence Conference (AI '92), May 1992. Pages 9-14. Canadian AI
Society: CSCSI Press.
187. Fahiem Bacchus and Qiang Yang, The Downward Refinement Property. The Proceedings
of the Twelfth International Joint Conference on Artificial Intelligence (IJCAI-91), August
1991, Sydney, Australia. Pages 286-292. IJCAI Inc.
188. Dave E. Foulser, Ming Li and Qiang Yang, A Quantitative Theory for Plan Merging.
Proceedings of the Ninth National Conference on Artificial Intelligence (AAAI-91), July
1991, Anaheim, CA. pages 673-679.
189. Craig A. Knoblock, Josh D. Tenenberg and Qiang Yang, Characterizing Abstraction
Hierarchies for Planning. Proceedings of the Ninth National Conference on Artificial
Intelligence (AAAI-91), July, 1991, Anaheim, CA. pages 692-698.
190. Qiang Yang, An Algebraic Approach to Conflict Resolution in Planning. Proceedings of
the Eighth National Conference on Artificial Intelligence (AAAI-90), August 1990, Boston,
MA. Pages 40-45.
191. Qiang Yang and Josh Tenenberg, ABTWEAK: Abstracting a Non-Linear Least
Commitment Planner. Proceedings of the Eighth National Conference on Artificial
Intelligence (AAAI-90), August 1990, Boston, MA. Pages 204-209.
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Qiang Yang
Curriculum Vitae
192. Qiang Yang, Preprocessing Hierarchical Planning Knowledge for Efficient Planning.
Proceedings of the 9th European Conference on Artificial Intelligence (ECAI-90), August
1990, Stockholm, Sweden. Pages 732-737.
193. Qiang Yang, Solving the Generalized Hitting Set Problems. Proceedings of the 9th
European Conference on Artificial Intelligence (ECAI-90), August 1990, Stockholm,
Sweden. Pages 738-743.
194. Qiang Yang, Solving the Problem of Hierarchical Inaccuracy in Planning. Proceedings of
the Eighth Biennial Conference of the Canadian Society for Computational Studies of
Intelligence (CSCSI-90), May 1990, Ottawa, Ontario. Pages 140-145.
195. Qiang Yang and Dana S. Nau, Preprocessing Search Spaces for Branch and bound Search,
Proceedings of the Eleventh International Joint Conference on Artificial Intelligence (IJCAI89), August 1989, Detroit, Michigan. Pages 349-353.
196. Qiang Yang and Philip W.L. Fong, Constraint Relaxation using Local Search and
Abstraction, 3rd International Conference for Young Computer Scientists (ICYCS-93), July
1993, Beijing, China. Pages 2.118-2.121. ICYCS and ACM Press.
197. Dana S. Nau, James Hendler and Qiang Yang, Merging Plans Efficiently. 1993 NSF
Conference Proceedings, January 1993, Charlotte, NC. USA. 6 pages. NSF, USA.
198. Dana S. Nau, Qiang Yang and James A. Hendler. Planning for Multiple Goals with Limited
Interactions, Proceedings of the Fifth IEEE Conference on Artificial Intelligence
Applications, March, 1989, Miami, Florida. Pages 263-270. IEEE Computer Society.
199. M. E. Saemakula, Dana S. Nau, Raghu M. Rangachar and Qiang Yang, Optimal Process
Sequencing in CAPP Systems AUTOFACT '88, Oct. 1988, Chicago, Ill., 5 pages.
200. Craig A. Knoblock and Qiang Yang, Evaluating the Tradeoffs in Partial-Order Planning
Algorithms, In Proceedings of the AAAI-94 Workshop on Comparative Analysis of AI
Planning Systems, August, 1994, Seattle, WA, pages 42-58. AAAI.
201. Eugene Fink and Qiang Yang, A Spectrum of Plan Justifications. In Proceedings of the
AAAI Spring Symposium on Foundations of Automatic Planning, 1993. Stanford University,
CA. pages 29-33. AAAI.
202. Eugene Fink and Qiang Yang, Forbidding Preconditions and Ordered Abstraction
Hierarchies. Proceedings of the AAAI Spring Symposium on Foundations of Automatic
Planning, 1993. Stanford University, CA. pages. 34-38. AAAI.
203. Craig Knoblock and Qiang Yang, Comparing SNLP and TWEAK Planning Algorithms.
Proceedings of the AAAI Spring Symposium on Foundations of Automatic Planning, 1993.
Stanford University, CA. pages. 73-77. Sponsoring Society: AAAI.
204. Qiang Yang, Dana S. Nau and James Hendler, An Approach to Multi-Goal Planning with
Limited Interactions, Proceedings of the AAAI 1989 Spring Symposium Series, Stanford
University, Stanford, CA., March 1989, pages 64-68.
Book Chapters
1.
Weike Pan, ErHeng Zhong, Qiang Yang: Transfer Learning for Text Mining. Mining Text
Data 2012: Charu C. Aggarwal and ChengXiang Zhai (Editors). Springer. Pages 223-257.
2012
2.
Evan Wei Xiang, Nathan N. Liu and Qiang Yang. Distributed Transfer Learning via
Cooperative Matrix Factorization. In `Scaling up Machine Learning: Parallel and Distributed
Approaches.' Ron Bekkerman, Mikhail Bilenko and John Langford (Editors). Chapter 19.
Cambridge University Press (December 30, 2011) Pages 331-350. 2011
27
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Qiang Yang
Curriculum Vitae
3.
Yin Zhu, Vincent W. Zheng and Qiang Yang. Activity Recognition from Trajectory Data. In
Computing with Spatial Trajectories. Yu Zheng and Xiaofang Zhou (eds.), Chapter 6,
Springer, November 2011.
4.
Sinno J. Pan, Vincent W. Zheng and Qiang Yang. Transfer Learning and Its Application for
WiFi Localization Problems. In Machine Learning and Applications. Zhi-Hua Zhou and Jue
Wang (eds.), Chapter 3, Tsinghua University Press, 2009.
5.
Qiang Yang. Post-processing Data Mining Models for Actionability. In Data Mining for
Business Applications, Chapter 1, pages 1-29. Eds: Longbing Cao, Phlilip S. Yu, Chengqi
Zhang, Huaifeng Zhang. Springer 2009.
6.
Hui Xue, Qiang Yang and Song-can Chen. SVM: Support Vector Machines. In The Top Ten
Algorithms in Data Mining. Chapter 3, pages 31-60. Eds: Xindong Wu and Vipin
Kumar. Chapman & Hall/CRC 2009.
7.
Qiang Yang, Charles Ling and Jianfeng Gao.Mining Web Logs for Actionable
Knowledge. Intelligent Technology for Information Analysis. Chapter 8, Pages 169—
190. Eds. Ning Zhong and Jiming Liu. Springer. 2004.
8.
Qiang Yang. Data Mining and Machine Learning on the Web. Invited chapter for the
Internet Encyclopedia, John Wiley and Sons. 527--536. Dec 2003/Jan 2004.
9.
Qiang Yang, Charles X. Ling, Jianfeng Gao Mining Web Logs for Actionable
Knowledge. Invited chapter for the book Intelligent Technologies for Information
Analysis. Chapter 8. Springer. pp. 170-191. 2004.
10. Qiang Yang, Christina Carrick, Joyce Lam, Yong Wang and Hui Zhang. Exploiting
Intelligent Agents and Data Mining for Electronic Commerce. Refereed, Chapter 9:
Electronic Commerce Technology Trends: Challenges and Opportunities, ed. Weidong
Kou, Yelena Yesha, p.115-134, IBM Press, 2000.
Magazine Articles
1. Qiang Yang, Vincent W. Zheng, Bin Li and Hankz Hankui Zhuo. Transfer Learning of
Structured Data. AI Magazine, Summer 2011 Issue.
2. Qiang Yang and Guirong Xue. Automatic Knowledge Discovery (in Chinese). 10,000
Scientific Challenges, Science Press, China. 2011.
3. Nathan Nan Liu, Qiang Yang and Jiachun Du. Tao of Business - Mobile takes social
computing beyond Web 2.0. Huawei Inc. WinWin Magazine, Issue 6, August, 2010.
4. Yan Fu, Ruixiang Sun, Qiang Yang, Simin He, Chunli Wang, Haipeng Wang, Shiguang
Shan, Junfa Liu and Wen Gao. A Block-Based Support Vector Machine Approach to the
Protein Homology Prediction Task in KDD Cup 2004. ACM SIGKDD Explorations,
Volume 6, Issue 2. December 2004. Pages 120-124.
5. Dou Shen, Rong Pan, Jian-Tao Sun, Jeffrey Junfeng Pan, Kangheng Wu, Jie Yin and Qiang
Yang. http://www.acm.org/sigs/sigkdd/explorations/issues/7-2-200512/KDDCUP2005Report_Shen.pdf. ACM SIGKDD Exploration, December 2005, Volume 7,
Issue 2. Pages 100-110.
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Qiang Yang
Curriculum Vitae
Patent
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Patent Application Pending: In the United States Patent and Trademark
Office, "Search Engine with Natural Language-based Robust Parsing of User
Query and Relevance Feedback Learning." Inventors: Hai-feng Wang, Kai-fu
Lee and Qiang Yang. MS1-606-US. Microsoft Corporation. Google Scholar
Citations: 126.
More patents pending 2013.
Research Grants and Contracts Awarded (Partial List)
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Hong Kong: I have held and am holding various grants from Hong Kong government
(known as RGC) and industries such as ITF and NEC, from 2001 to present.
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Canada: I have held grants from Canadian NSERC, IRIS/PRECARN and various industrial
research agencies from 1989 to 2001.
1. PI: Hong Kong RGC Grant: 621013 Transfer Learning via Crowd Wisdom, 2013-2016.
$645,500.00
2. PI: ITF Grant (Tier 2, Tencent). Intelligent targeting in long-tail advertising. HK
$1,000,000.00. 2012-2014.
3. PI: Hong Kong RGC Grant: 620812 Source-Free Transfer Learning for Text Classification,
2012-2015. $905,425.00
4. PI: Hong Kong RGC Grant: 621211 Personalized Tag Recommendation in the Long Tail,
2011-2014. $627,000.00
5. PI: ITF Grant (Tier 3, Huawei). DISCO: A SaaS Platform for Personalized
Telecommunication Services. HK $ 1,149,925.00. Sept 1, 2010 to Feb 29, 2012.
6. PI: Microsoft Research Asia Grant “mCARE: Mobile cloud for activity recognition for
eHealth” (May 2010 to April 2011). HK $154,000.
7. PI: HK RGC Project 621010 on “Transfer Learning for Link Prediction in Sparse
Collaborative Information Networks,” 2010 – 2013. HKD $1,179,900.00.
8. PI: HK RGC / China NSFC Joint Grant: N_HKUST624/09 Heterogeneous Transfer
Learning. HK $637,050. 2010-2012. (w/ Shanghai Jiaotong Univ.)
9. PI: Microsoft Research Asia Grant: Co-mining: Bridging the physical world and the virtual
world by mining the Geo-location and web search data. HK $154,000.
10. PI: NEC Funding for Web based collaborative filtering and location based personal services.
HK $1.5 Million. (2008-2010).
11. PI: HK RGC Project: 618704 HK$339,414 (2005 31-2006) Location-based plan recognition
for pervasive computing (from Hong Kong RGC Research Grants Council)
12. PI: NECLC 05/06.EG01 NEC China Labs HK$1,000,000 (01-12-2005 01-11-2008)
Research for new generation web search and mobile computing (from NEC China Lab.)
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Qiang Yang
Curriculum Vitae
13. Co-PI: Hong Kong ITF Grant (with J.X. Huang and C.J. Tan at Hong Kong University,
ETI). $2,500,000.00 HKD, June 2003 – Sept 2005. A Knowledge-based Business Intelligence
Platform From Hong Kong ITC.
14. PI: Hong Kong RGC Grant HKUST 6180/02E ($413,404.00 HKD, Sept 2002 – Sept 2004)
Title: Data Mining of Log Data for Case-based Reasoning. (from Hong Kong RGC Research
Grants Council)
15. PI: MRA07/08.EG01 Microsoft HK$120,000 (01-05-2008 30-04-2009) PQC: A
personalized web query classification system (From Microsoft Asia)
16. PI: 621307 GRF HK$835,200 (01-09-2007 31-08-2009) Web Query Classification By
Learning Probabilistic Graphical Models (from Hong Kong RGC Research Grants Council)
17. Co-I: CA03/04.EG01 RGC HK$ 666,667 (01-06-2004 28-02-2006) Web Intelligence for E
Transformation -- A Research Center (from Hong Kong RGC Research Grants Council)
18. PI: HKUST 6180/02E GRF HK$ 413,403 (01-09-2002 31-08-2005) Caseminer:
Discovering cases from log data for case-based reasoning (from Hong Kong RGC Research
Grants Council)
19. Hong Kong SSRI Grant SSRI01/02 EG11 ($186,000.00 HKD, July 2002 – June 2003)
Title: Churn Killer: Data Mining for Customer Relationship Management, (from Hong Kong
RGC Research Grants Council)
17. Co-I. Hong Kong Teaching Development Grant, $4,000.000.00 HKD, Sept 2002 – March
2005). Title: Virtual Language Advisor using Case Based Reasoning and Data Mining.
18. Co-PI: Canadian (Institute for Robotics and Information Systems) IRIS-IIIb Grant
C$45,000, 2002 - 2005. Simon Fraser University. Intelligent User Preference Elicitation.
19. PI: NSERC Individual Research Grant, Research Issues in Intelligent Information Agents.
C$36,000.00 per year, Simon Fraser University 1999-2003.
20. PI: Canadian Institute for Robotics and Information Systems (IRIS-III) Grant C$42,000.00
per year, 1998 - 2002. Simon Fraser University. Intelligent User Preference Mining
21. PI: Canadian Department of Defense Grant: A Feasibility Study of Case Based Reasoning in
Canadian Search and Rescue Operations. C$40,000.00, 1998. Simon Fraser University
22. PI: Canadian BC-ASI Industrial Partnership Grant $15,000.00 for one year, 1997. Simon
Fraser University
23. PI: Canadian Rogers Cable-TV and Canadian Cable Labs Fund Grant, and NSERC
Collaborative Research and Development Grants ($500,000.00 over three years), 1996-1998.
Simon Fraser University
24. PI: Canadian NSERC Industry Chair Grant, September 1996 - April 1999, $108,000.00 per
year. Simon Fraser University
25. PI: Canadian Individual Research Grant (NSERC), April 1995 - April 1998, $25,700.00
Simon Fraser University. Intelligent AI Planning
26. Co-PI: Ontario ITRC Grant, April 1991 - March 1993, C$45,000/year. Research on AI.
30
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Qiang Yang
Curriculum Vitae
Current PG Students under my supervision:
1. Ben Tan (PHD, 3rd year)
2. Kaixiang Mo, (PHD, 3rd year)
3. Bin Wu (PHD, 3rd year), co-supervised with Andrew Horner.
4. Erheng Zhong, PHD, 4th year.
5. Lily Zhao, PHD, 2nd year
6. Zhongqi Lu, PHD, 2nd year
7. Ruiming Xie, PHD, 2nd year
8. Liya Ji, PHD, 2nd year
9. Ying Wei, PHD 2nd year.
10. George Trimponios, PHD, 4th year.
11. Yin Zhu, PHD, 4th year.
Postdoc fellows under my supervision:
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Dr. Yangqiu Song, Postdoc Fellow at UIUC, USA.
Dr. Hankz Hankui Zhuo, Assistant Professor at Zhongshan University, China.
Dr. Qi Liu, Associate Professor at Tong Ji University, Shanghai, China.
Dr. Rong Pan, Associate Professor at Zhongshan University (SYS U), Guangzhou, China.
Dr. Guirong Xue (May to Aug 2006): lead data mining director, Alibaba Inc. Hangzhou, China.
Yiqiang Chen (2004), Full Professor and Director of Pervasive Lab, Institute of Computing,
CAS, Beijing China.
Jiantao Sun (May to August 2005): Researcher, Microsoft Research Asia, Beijing, China.
Raymond Chen (2002 and 2003): Machine Learning and Data Mining
Postdoc fellows at Simon Fraser University (between 1995 and 2001):
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Dr. Yong Wang,
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Dr. Chunyan Miao, Associate Professor at NTU, Singapore.
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Dr. Yidong Shen: Full Professor in Institute of Software, CAS, China.
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Dr. Weidong Yu.
Post-graduate Student Supervision (at HKUST, Hong Kong)
Dr. Nathan Liu, (2007-2011) Data Scientist, Yahoo! Inc. CA, USA.
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Dr. Even Xiang Wei, (2006-2011) Technical Manager, Baidu Inc. Shenzhen Research Center.
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Dr. Derek Hao Hu, (2007-2012) Researcher, Microsoft Redmond.
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Dr. Weike Pan, (2008-2012) Assistant Professor at Shenzhen University.
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Dr. Simone Martini, (2008-2012) Postdoc, Italy.
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Dr. Can Yang, (2007-2012) Postdoc, Yale University, USA
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Si Shen, (2010-2012) Baidu Inc. Beijing.
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Qiang Yang
•
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Curriculum Vitae
Dr. Weizhu Chen, (2010-2012) Researcher, Microsoft Redmond.
Dr. Bin Cao (2006-2012), Associate Researcher, Microsoft Redmond.
Dr. Vincent Zheng (2006-2011) Computational Scientist, A-star, Singapore.
Dr. Qian Xu, (2007-2011) BIEN PhD student. Topic: “Transfer Learning in
Bioinformatics.” Graduated in Jan 2011. Now: Postdoc at HKUST. Now Managing director,
Baidu Shenzhen Research Center, Shenzhen.
Dr. Sinno Jialin Pan, PhD (2006-2011) ``Feature Based Transfer Learning.” Nov 2010.
Now: Scientist at I2R, Singapore.
Lin Huang, MSC “Collaborative Filtering for Recommendation Systems,” May 2010.
Dr. Junfeng Pan, (2005-2010) PhD Thesis title: “Learning Based Localization in Wireless
and Sensor Networks.” Dec 2007. First, worked at Google, USA. Now, Facebook.
Dr. Dou Shen, (2004-2007) PhD Thesis title: “Learning based Web Query Understanding.”
June 2007. First at Microsoft, Redmond. USA. Then, created his own company: BuzzLabs.
The company is now sold to CityGrid.com. Now Director of Advertisement, Baidu Inc.
Beijing.
Dr. Jie Yin, (2002-2005) PhD, Thesis title: “Probabilistic Plan Recognition from Low-level
Sensors, June 2006. Currently working as a Postdoc fellow at CSIRO, Australia.
Xiaoyong Chai, MPhil, “Multiple Goal Recognition from Low Level Signals.” July 2005.
Currently a PHD student at U. of Wisconsin, Madison. Now at Google.
Hong Cheng, MPhil: “Mining High-Utility Plans from Plan Databases”, July 2003. Then a
PHD student at UIUC. Now Assistant Professor at CUHK.
Hui Wang, MPhil: “Mining Web Logs using Clustering Algorithms” August 2003.
Visiting students: Yan Fu, Wenyuan Dai: 2006.
University of Waterloo, Canada (Directly Under My Supervision)
1. Steven Woods, PhD, ``A Method of Program Understanding Using Constraint Satisfaction
For Software Reverse Engineering.'' 1996. VP of AOL. Now: Engineering Director of
Google. Canada.
2. Eugene Fink, Msc., ``Justified Plans and Ordered Hierarchies,'' 1992. Currently a faculty at
CMU.
3. Alex Y.M. Chan, Msc., ``On Variable Binding Commitments in Planning,'' 1994. Currently
as General Manager of Microsoft, Shanghai.
4. Philip W.L. Fong, Msc., ``A Quantitative Study of Hypothesis Selection,'' 1995. First, a
faculty member at University of Regina, Canada. Now: Associate Professor at University of
Calgary.
5. Stephanie Ellis, Msc., ``WatSched: A Combined Approach to Intelligent Scheduling'', 1996.
6. Cheryl Murry, Msc., ``An Evaluation of a Search Heuristic for Planning.’’ 1994.
7. Steve Woods, Msc. ``Abtweak: a Nonlinear Planning System.'' 1991.
Simon Fraser University, Canada (Directly Under My Supervision)
1. Henry Zhang, Msc. "Web-log Mining and Prediction-based Algorithms for Web-document
Caching and Prefetching." May 2001.
2. Ian T.Y. Li MSc. "A Comparison of N-gram and Association Rules for Web Log Mining."
August 2001.
3. Haijing Fang. MSc. “HTML to XML Conversion in Restricted Domains”. August 2001.
4. Michael (Zhen) Zhang, Msc, , ``Web Log Analysis Using Clustering for Web Document
Prefetching". 2000.
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Curriculum Vitae
5. Hui Zhang, M.Sc. ``A Cache Agent based on Database Caching and Case Based Reasoning”
1999
6. MUSSBACHER, G, M.Sc., ``Combining Case Based Reasoning and Commonality Analysis for
Software Requirement Reuse", 1999.
7. Sandra Hayden, M.Sc., ``WebMas: A Multi-Agent System for Web-Based Classification". 1998.
8. Jun Zhu, M.Sc., ``Similarity Metrics and Case Base Maintenance". 1998.
9. Jing Wu, M.Sc. ``Creating and Using Multiple Case Bases in Large Scale CBR Applications: A
Clustering Based Approach.'' 1998.
10. Sheng Li, M.Sc. ``ActiveCBR: Integrating Case Based Reasoning and Active Databases".
1998
11. Zhong Zhang ``Feature Weight Maintenance in Case Bases using Neural Network Learning
Methods.'' 1997.
12. Kirsti Racine ``Design and Evaluation of a Self Cleaning Agent for Maintaining Very Large
Case Bases'', 1997.
Services at HKUST
CSE Department Level Services
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Associate Head, Research at CSE Department, HKUST. (Sept 2011 – 2012).
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Postgraduate Program Director (CSE Department, Apr 2011 – Sept 2011)
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Postgraduate Program Director (CSE Department, 2007 – 2009)
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Computer Science Department Promotion and Tenure Committee (2007-2009)
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Department search committee (2007 - )
School of Engineering Level Services
School of Engineering Research Committee (2008 - 2012), where duties include awards
decisions, equipment and other grant decisions;
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School of Engineering Promotion and Tenure Committee (2007-2009)
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Engineering School Postgraduate Committee (2007 – 2009)
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Department PG Committee (Sept 2001 – Sept 2004, Sept 2005 – 2012)
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Department UG Committee (Sept 2004-Sept 2005)
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Coordinator for Communication Tutors: 2006-2008
University Level Services
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University Senate (2009 - 2010)
University Awards Committee (2008 - 2010): Duties included decisions on honorary doctoral
degrees. Two Turing award winners were invited to attend 2010 congregations and receive awards.
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University Appointment and Substantiation Committee (UASC, 2009 – Oct 2011)
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University Senate Postgraduate Studies Committee (2007 - )
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University Working Group on High Performance Computing (2011 -)
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Founding Risk Management and Business Intelligence Program Co-Director (2007 - 2011 )
Associate Director of HKUST FYT Graduate School Applied Genomic Center (2005-2009)
Hong Kong wide Services
33
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Qiang Yang
Curriculum Vitae
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Hong Kong RGC Engineering Panel: 2009 -- 2011
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Hong Kong RGC/China NSFC Joint Research Scheme, Panel Member: 2009 – present
Reviewer for Journals
Artificial Intelligence Journal, IEEE TKDE, ACM Transactions on Software Methodologies,
Knowledge and Information Systems, IEEE TSMC, IEEE Intelligent Systems. Reviewers for various
book publishers. Reviewers for journals including Computational Intelligence Journal, Journal of
Artificial Intelligence Research, Journal of Logic and Computations, IEEE Computer, IEEE TKDE,
IEEE Intelligent Systems, Artificial Intelligence Journal, Journal of Machine Learning Research, etc.
Book proposal reviewers for MIT Press, Kluwer, Springer Verlag and many other publishers
Conference Program Committee and Reviewers
AAAI 2012, WSDM 2012, SDM 2012, CIKM 2011, AAAI 2011, IJCAI 2011, ACM WSDM 2011,
ACM IUI 2011, WWW 2010, AAAI 2010, IJCAI 2009, WWW 2008, CIKM 2008, AAAI 2008,
ICML 2008, ECCBR 2008, AAAI 2007, KDD 2007, ICDM 2007, PAKDD 2007, PRICAI 2006,
IJCAI 2006, AAAI 2006, ICCBR 2005 and 2007, , ICDM 2006, ICCBR 2003, ICDM 2004, BIODM
2006, Web Intelligence 2004, ICDM 2005, EEE2004, ICDM 2003, ICAPS 2004, ADMA 2006, SKG
2005, APBC2007, CIKM 2004, Intelligent User Interface (IUI) 2002, WI 2003, Workshop Co-Chair
for IEEE ICDM Workshop on Data Cleaning. Canadian AI 2001, and many other review duties
before 2001.
Workshop Co-Chair for AIPS 2002 Workshop on Practical Planning, May 2002, France. Reviewer
for IJCAI 2003, PC Member for WISE 2003, ICDM 2003. International Database Engineering
&Applications Symposium 2003. AAAI 2002, PC Member for Autonomous Agent and Multi Agent
Systems 2002, PC Member for AI Planning and Scheduling Systems (AIPS 2002) Conference, PC
Member for Intelligent User Interfaces Conference 2002 (IUI 2002), Conference Chair for 2001
International Conference on Case-based Reasoning, Conference Chair for 2000 Canadian AI
Conference, AAAI98, Canadian AI 98, AIMSA98, AAAI 99, IJCAI 99, ICCBR 99, EPC97 (1998
European Planning Conference), AI98 (1998 Canadian AI Conference), WCRE 97 (1997 Working
Conference on Reverse Engineering), AAAI 96, 97 (1996, 1997 National Conference on Artificial
Intelligence), ICMI96 conference (First International Conference on Multi modal Interface), AAAI96
workshop on Theories of action, Planning Algorithms and Control Architectures, IJCAI 1995
Conference (planning/scheduling area), CSCSI 1996 Conference. AAAI 1993 Spring Symposium,
Chinese AI Summer School, Beijing, China, August 1994, the Third International Conference for
Young Computer Scientists, 1993 (ICYCS'93), First SIGMAN Workshop on Manufacturing
Planning, 1989
Conference Tutorials
• Machine Learning and Applications Workshops: 2007-2010.
• Chinese NSF Dragon Star lecture in Sichuan University, May 2007, Chengdu China, and
May 2010, Xian China.
• PRICAI 2006 tutorial on “How to do research”.
• AAAI98 Tutorial on Planning: “Recent Advances in AI Planning”.
• Web Intelligence 2004 Tutorial on “Wireless Intelligence”.
• Invited talks at numerous industrial research labs around the world.
Courses Taught:
Spring 2011: Research Topics in Social Networks, Social Media and Transfer Learning. (COMP
621U)
34
2013
Qiang Yang
Curriculum Vitae
Fall 2010: Introduction to Data Mining (COMP 337)
Fall 2009, 2010: Knowledge Discovery and Data Mining (MSC-IT 521)
Fall 2009: Introduction to Data Mining (COMP 337, New Course: For RBMI/CSE students)
Fall 2007/08: Data Mining and Knowledge Discovery (MSC-IT 521: New Course: for MSCIT)
Fall 2007: Introduction to Artificial Intelligence (COMP 221)
Fall 2006: Introduction to Artificial Intelligence (COMP 221) and Introduction to Data Structures
(COMP 171)
Spring 2006: Knowledge Discovery in Databases (COMP 537) and Introduction to Data Structures
(COMP 171)
Spring 2004: Knowledge Discovery and Data Mining in Databases (COMP 537)
Summer 2003: Software Tools (COMP 111)
Spring 2003: Fundamentals of Artificial Intelligence (COMP221)
Fall 2002: Software Tools with Unix Shell Programming and Perl Programming (COMP 111)
Spring 2002 (Postgraduate Students): Knowledge Discovery in Databases (COMP 537).
Fall 2001: Software Tools with Unix Shell Programming and Perl Programming (COMP 111)
Teaching at Simon Fraser University and the University of Waterloo: More courses listed on Web
site.
References: upon request.
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