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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 • • 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 1 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 • • Vice Chair of ACM SIGART. July 2010 – July 2013 IEEE Computer Society, Fellows Committee Member. 2012 • Trustee of IJCAI (2011-2017) Editorship for Journals • • • • • • • • 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. 2 2013 • • • • • • 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 3 2013 Qiang Yang Curriculum Vitae • 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 • Workshop Co-Chair (w/ S.C. Zhang and C. Zhang), IEEE ICDM Workshop on Data • Conference General Chair, 2001 International Conference on Case-based Reasoning, ICCBR 2001. Vancouver Canada. Program Co-chair, Canadian AI Conference, 2001, Canada. • • • • • • • • • • • • • • Operator Sequencing? -- Exploring Real World Planning.” France, 2002. Cleaning and Preprocessing 2003. Keynote and Invited Talks at Conferences • • • • • • • 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 • • • • • • • • • • 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. 6 2013 Qiang Yang Curriculum Vitae Co-Editor for Conference Proceedings • • • 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 • 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) • 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 • 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. • Masashi Sugiyama, Qiang Yang: Journal of Machine Learning Research – ACML 2010 Proceedings, Track 13: i-xiv (2010) • 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 • 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 • 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 7 2013 • • • • • 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 • • • • • • • • • • • 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. 8 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 2013 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 2013 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 2013 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 2013 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 24 2013 Qiang Yang 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. 25 2013 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. 26 2013 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 2013 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. 28 2013 Qiang Yang Curriculum Vitae Patent • • 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) • 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. • 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.) 29 2013 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 2013 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: l l l l l l l l 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): l Dr. Yong Wang, l Dr. Chunyan Miao, Associate Professor at NTU, Singapore. l Dr. Yidong Shen: Full Professor in Institute of Software, CAS, China. l Dr. Weidong Yu. Post-graduate Student Supervision (at HKUST, Hong Kong) Dr. Nathan Liu, (2007-2011) Data Scientist, Yahoo! Inc. CA, USA. • Dr. Even Xiang Wei, (2006-2011) Technical Manager, Baidu Inc. Shenzhen Research Center. • Dr. Derek Hao Hu, (2007-2012) Researcher, Microsoft Redmond. • Dr. Weike Pan, (2008-2012) Assistant Professor at Shenzhen University. • Dr. Simone Martini, (2008-2012) Postdoc, Italy. • Dr. Can Yang, (2007-2012) Postdoc, Yale University, USA • Si Shen, (2010-2012) Baidu Inc. Beijing. 31 2013 Qiang Yang • • • • • • • • • • • • • 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. 32 2013 Qiang Yang 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 l Associate Head, Research at CSE Department, HKUST. (Sept 2011 – 2012). l Postgraduate Program Director (CSE Department, Apr 2011 – Sept 2011) l Postgraduate Program Director (CSE Department, 2007 – 2009) l Computer Science Department Promotion and Tenure Committee (2007-2009) l 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; l l School of Engineering Promotion and Tenure Committee (2007-2009) l Engineering School Postgraduate Committee (2007 – 2009) l Department PG Committee (Sept 2001 – Sept 2004, Sept 2005 – 2012) l Department UG Committee (Sept 2004-Sept 2005) l Coordinator for Communication Tutors: 2006-2008 University Level Services l 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. l l University Appointment and Substantiation Committee (UASC, 2009 – Oct 2011) l University Senate Postgraduate Studies Committee (2007 - ) l University Working Group on High Performance Computing (2011 -) l 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 2013 Qiang Yang Curriculum Vitae l Hong Kong RGC Engineering Panel: 2009 -- 2011 l 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. 35