Qiang Yang's Research by Area

Google Scholar, Conferences Journals, By Year, DBLP


Transfer Learning (Software and Data Repository for Transfer Learning)


  1. 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 Intelligence (AAAI-12). Toronto, Ontario, Canada. July 22-26, 2012. (PDF)

  2. 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)

  3. Fangtao Li, Sinno Jialin Pan, Ou Jin, Qiang Yang and Xiaoyan Zhu. Cross-Domain Co-Extraction of Sentiment and Topic Lexicons. In: Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (ACL 2012). Korea, July 2012.

  4. 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

  5. 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 (ACM CIKM 2011). Glasgow, UK. Oct 2011. (Best interdisciplinary paper award)  [PDF]

  6. Qiang Yang, Vincent Wenchen Zheng, Bin Li, Hankz Hankui Zhuo: Transfer Learning by Reusing Structured Knowledge. AI Magazine 32(2): 95-106 (2011) (PDF)

  7. 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. (PDF)

  8. Yin Zhu, Yuqiang Chen, Zhongqi Lu, Sinno J. Pan, Gui-Rong Xue, 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. (PDF)

  9. Evan Wei Xiang, Sinno Jialin Pan, Weike Pan, Jian Su and Qiang Yang. Source-Selection-Free Transfer Learning. In Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI-11), Barcelona, Spain, July 2011. (PDF)

  10. 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. (PDF)

  11. 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. (PDF)

  12. 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. (PDF)

  13. 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. (PDF)

  14. 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

  15. 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. (PDF)

  16. 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. (PDF)

  17. 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)

  18. 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 <http://doi.ieeecomputersociety.org/10.1109/TCBB.2010.22>, 06 Apr. 2010

  19. 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; (http://www.biomedcentral.com/1471-2105/11/181)

  20. 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. (PDF)

  21. 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 (PDF)

  22. 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. (PDF)

  23. 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. (PDF)

  24. 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)

  25. 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)

  26. 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)

  27. 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)

  28. 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)

  29. 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. (PDF)

  30. Xiaoxiao Shi, Wei Fan, Qiang Yang, Jiangtao Ren. Relaxed Transfer of Different Classes via Spectral Partition. In Proceedings of the ECML/PKDD 2009: 366-381 (PDF)

  31. 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. (PDF)

  32. 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.

  33. 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 (PDF)

  34. Bin Li, Qiang Yang, Xiangyang Xue. Can Movies and Books Collaborate? Cross-Domain Collaborative Filtering for Sparsity Reduction. In Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI-09), Pasadena, CA, USA, July 11-17, 2009. (PDF)

  35. 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. (PDF)

  36. 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 Twenty-First International Joint Conference on Artificial Intelligence (IJCAI '09), Pasadena, CA, USA, July 11-17, 2009. (PDF)

  37. Bin Li, Qiang Yang and 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. (PDF)

  38. 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. (PDF)

  39. 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-08), December 8, 2008, Vancouver, British Columbia, Canada. (Link)

  40. 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-08), Las Vegas, Nevada, USA, August 24-27, 2008. 488-496 (PDF)

  41. Wenyuan Dai, Qiang Yang, Gui-Rong Xue and Yong Yu. Self-taught Clustering. In Proceedings of the 25th International Conference on Machine Learning (ICML-08), Helsinki, Finland, 5-9 July, 2008. 200-207 (PDF)

  42. Sinno Jialin Pan, James T. Kwok and Qiang Yang. Transfer Learning via Dimensionality Reduction. In Proceedings of the 23rd AAAI Conference on Artificial Intelligence (AAAI-08). Chicago, Illinois, USA. July 2008. 677-682 (PDF)

  43. 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. 1383-1388 (PDF)

  44. Vincent W. Zheng, Sinno Jialin Pan, Qiang Yang and Jeffrey J. Pan. Transferring Multi-device Localization Models using Latent Multi-task Learning. In Proceedings of the 23rd AAAI Conference on Artificial Intelligence (AAAI-08). Chicago, Illinois, USA. July 2008. 1427-1432 (PDF)

  45. 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. 1421-1426 (PDF)

  46. 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-08) Beijing, China. 969-978 (PDF)

  47. 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 (PDF)

  48. 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 (PDF)

  49. 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 (PDF)

  50. Dou Shen, Jian-Tao Sun, Qiang Yang and 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. Pages 131-138. (PDF)

Activity and Plan Recognition, and Data Mining in Sensor Networks

  1. 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)

  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.  (PDF)

  3. 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 (Link, PDF)

  4. 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. (PDF)

  5. 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. (PDF)

  6. 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. (PDF)

  7. 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.  (PDF)

  8. 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)

  9. 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)

  10. 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. (PDF)

  11. 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), Pasadena, CA, USA, July 11-17, 2009. Invited Paper. (PDF)

  12. 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-08), Seoul, South Korea September, 2008. pages 30-39 (PDF)

  13. Derek Hao Hu, Qiang Yang. CIGAR: Concurrent and Interleaving Goal and Activity Recognition. In Proceedings of the 23rd AAAI Conference on Artificial Intelligence (AAAI-08). Chicago, Illinois, USA. July 2008. 1363-1368 (PDF)

  14. Sinno Jialin Pan, James T. Kwok and Qiang Yang. Transfer Learning via Dimensionality Reduction. In Proceedings of the 23rd AAAI Conference on Artificial Intelligence (AAAI-08). Chicago, Illinois, USA. July 2008. 677-682 (PDF)

  15. 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. 1383-1388 (PDF)

  16. Vincent W. Zheng, Sinno Jialin Pan, Qiang Yang and Jeffrey J. Pan. Transferring Multi-device Localization Models using Latent Multi-task Learning. In Proceedings of the 23rd AAAI Conference on Artificial Intelligence (AAAI-08). Chicago, Illinois, USA. July 2008. 1427-1432 (PDF)

  17. 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. 1421-1426 (PDF)

  18. Jeffrey Junfeng Pan, Sinno Jialin Pan, Vincent Wenchen Zheng, Qiang Yang, Digital Wall: A Power-efficient Solution for Location-based Data Sharing. IEEE PerCom 2008: 645-650 (Link)

  19. 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 (PDF)

  20. Jie Yin, Qiang Yang, Dou Shen and Z.-N. Li. Activity Recognition via User-Trace Segmentation. ACM Transactions on Sensor Networks (TOSN), Volume 4 , No. 4 (August 2008). Article 19, 34 pages. (PDF)

  21. Jie Yin, Qiang Yang, Lionel M. Ni. Learning Adaptive Temporal Radio Maps for Signal-Strength-Based Location Estimation. IEEE Transactions on Mobile Computing, vol. 7, no. 7, pp. 869-883, Jul., 2008 (PDF)

  22. Jie Yin, Qiang Yang, Jeffrey Junfeng Pan, Sensor-Based Abnormal Human-Activity Detection. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), vol. 20, no. 8, pp. 1082-1090, August, 2008. (Link, PDF)

  23. 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. (PDF)

  24. 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 SIG-KDD International Conference on Knowledge Discovery and Data Mining (ACM KDD-07), San Jose, California, USA, Aug 12-15, 2007. 1023--1027 (PDF)

  25. 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 (PDF)

  26. 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 (PDF)

  27. Jeffrey J. Pan, Qiang Yang. Co-Localization from Labeled and Unlabeled Data Using Graph Laplacian. In Proceedings of the Twentieth International Joint Conference on Artificial Intelligence (IJCAI-07). Hyderabad, India. January 6-12, 2007. (PDF)

  28. 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 (http://doi.ieeecomputersociety.org/10.1109/TKDE.2006.145) Sept. 2006. (PDF).

  29. 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. (PDF)

  30. Jeffrey J. Pan, Qiang Yang, Hong Chang, Dit-Yan Yeung. A Manifold Regularization Approach to Calibration Reduction for Sensor-Network Based Tracking. In the Twenty-First National Conference on Artificial Intelligence (AAAI-06) 2006. Pages 988-993.

  31. Jie Yin and Qiang 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. Pages 506-513. (PDF)

  32. Xiaoyong Chai and Qiang Yang. Multiple-Goal Recognition From Low-level Signals. Proceedings of the Twentieth National Conference on Artificial Intelligence (AAAI-05), Pittsburg, PA USA, July 2005. Pages 3-8. (PDF)

  33. Jie Yin, Dou Shen, Qiang Yang and Ze-nian Li. Activity Recognition through Goal-Based Segmentation. Proceedings of the Twentieth National Conference on Artificial Intelligence (AAAI-05), Pittsburg, PA USA, July 2005. Pages 28-33. (PDF)

  34. 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-05), Edinburgh, Scotland, UK, July-Aug 2005. Pages 1366-1370. (PDF)

  35. 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-05), Kauai Island, Hawaii, March, 2005. Pages 85-94. Bibtex (PDF)

  36. 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-05) Kauai Island, Hawaii, March 2005. Pages 95--104. Bibtex (PDF)

  37. Lionel M. Ni, Yanmin Zhu, Jian Ma, Minglu Li, Qiong Luo, Yunhao Liu, S. C. Cheung, Qiang Yang. Semantic Sensor Net: An Extensible Framework. ICCNMC 2005: 1144-1153

  38. 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. Pages 578-584 (PDF)

  39. 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 18-20, 2004, Proceedings. Lecture Notes in Computer Science 3222 Springer 2004. Pages 584-591


AI Planning

Journal Articles

  1. 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 (PDF)

  2. Qiang Yang, Kangheng Wu and Yunfei Jiang. Learning Action Models from Plan Traces using Weighted MAX-SAT. Artificial Intelligence Journal (AIJ). Volume 171, Issues 2-3, February 2007, Pages 107-143 (PDF)

  3.  Qiang Yang, Intelligent Planning -- A Decomposition and Abstraction Based Approach. Springer Verlag, 1997.- See a book review by Fausto Giunchiglia and Luca Spalazzi in the Artificial Intelligence Journal.

  4. 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. (PDF)

  5. 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. (PDF)

  6. 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 (PDF)

  7. Eugene Fink and Qiang Yang. Automatically Selecting and Using Primary Effects in Planning: Theory and Experiments. In Artificial Intelligence Journal (AIJ) 89 (1997) pages 1-30. (PDF)

  8. 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. (PDF) [bibtex]

  9. 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 (PDF)

  10. Fahiem Bacchus and Qiang Yang, Downward Refinement and the Efficiency of Hierarchical Problem Solving. Artificial Intelligence Journal (AIJ), Vol. 71, No. 1. pages 43-100, Nov. 1994. (PDF)

  11. Qiang Yang and Cheryl Murray. An Evaluation of the Temporal Coherence Heuristic for Partial-Order Planning. Computational Intelligence Journal (AIJ) Blackwell Publishers, pp. 245-267, 10(3), 1994. (PDF)

  12. Qiang Yang. A Theory of Conflict Resolution in Planning. Artificial Intelligence Journal (AIJ) Vol. 58, No. 1-3, pp. 361-392. 1992. (PDF)

  13. 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. (PDF)

  14. 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. (PDF)

  15. Raghu Karinthi, Dana S. Nau, and Qiang Yang. Handling Feature Interactions in Process-Planning. Journal of Applied Artificial Intelligence. Vol. 6, No. 4, October-December Issue. Pages 389-415. Hemisphere Publishers. 1992. (Link)

  16. Qiang Yang. Formalizing Planning Knowledge for Hierarchical Planning. Computational Intelligence Journal, 6(2), (1990), pp. 12-24. (PDF)

Conference Articles

  1. 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. (PDF)

  2. 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 (PDF).

  3. 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. (PDF)

  4. 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. (PDF)

  5. Hankz Hankui Zhuo, Qiang Yang, Lei Li. Transfer Learning Action Models by Measuring the Similarity of Different Domains. Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-09), 697-704, 2009. (PDF)

  6. Hankz Hankui Zhuo, Qiang Yang, Derek Hao Hu, Lei Li. Transferring Knowledge from Another Domain for Learning Action Models.  Pacific Rim International Conference on Artificial Intelligence (PRICAI-08), 1110-1115, 2008 (PDF)

  7. 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

  8. 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. (Link)

  9. 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-05), Springer LNAI 3625. August 2005. Bonn, Germany. Pages 330-347 (PDF)

  10. Qiang Yang, Jie Yin, Charles Ling and Tielin Chen. Post-processing Decision Trees to Extract Actionable Knowledge. In Proceedings of the 2003 IEEE International Conference on Data Mining (IEEE ICDM-03). Florida, USA, November 2003. IEEE Computer Society. Pages 685-688. (PDF)

  11. Qiang Yang and Hong Cheng. Mining Plans for Customer-Class Transformation. Proceedings of the 2003 IEEE International Conference on Data Mining (IEEE ICDM-03). Florida, USA, November 2003. IEEE Computer Society. Pages 403-410. (PDF)

  12. 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. (PDF)

  13. Chunyan Miao, Qiang Yang, Haijing Fang, Angela Goh. Fuzzy Cognitive Agents for Personalized Recommendation. In Proceedings of the 3rd International Conference on Web Information Systems Engineering (WISE-03), Singapore. December 2002. IEEE Computer Society. Pages 362-372. (PDF)

  14. Charles X. Ling, Tielin Chen, Qiang Yang, Jie Cheng. Mining Optimal Actions for Profitable CRM. In Proceedings of the IEEE International Conference on Data Mining (IEEE ICDM-02) Conference. Japan, December 2002, ICDM 2002: 767-770 (PDF)

  15. Chunyan Miao, Haijing Fang, Xuehong Tao, Qiang Yang, and Robert K. L. Gay. An Agent Approach for Personalized Recommendation. In Proceedings of the 1st International Conference on Fuzzy Systems and Knowledge Discovery: Computational Intelligence for the E-Age, November 18-22, 2002, Orchid Country Club, Singapore, FSKD 2002: 231-235.

  16. Jiawei Han, Qiang Yang, Edward Kim. Plan Mining by Divide-and-Conquer. 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery 1999 (PDF)

  17. Sandra C. Hayden, Christina Carrick, Qiang Yang. A Catalog of Agent Coordination Patterns. In: Proceedings of the Third Annual ACM Conference on Autonomous Agents, May 1-5, 1999, Seattle, WA, USA. Agents 1999: Pages 412-413 (PDF)

  18. Yong Wang, Qiang Yang, Zhong Zhang. Real-Time Scheduling for Multi-agent Call Center Automation. In: Recent Advances in AI Planning, Proceedings of the 5th European Conference on Planning, Durham, UK, September 8-10, 1999. Lecture Notes in Computer Science 1809 Springer. ECP 1999: Pages 187-199 (PDF)

  19. Eugene Fink, Qiang Yang. Planning with Primary Effects: Experiments and Analysis. In: Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, IJCAI 1995, Montréal, Québec, Canada, August 20-25 1995. Pages 1606-1611 (PDF)

  20. Craig A. Knoblock, Qiang Yang. Relating the Performance of Partial-Order Planning Algorithms to Domain Features. ACM SIGART Bulletin 6(1): pages 8-15 (1995) (PDF)

  21. Qiang Yang, Alex Y. M. Chan. Delaying Variable Binding Commitments in Planning. In: Proceedings of the Second International Conference on Artificial Intelligence Planning Systems, June 13-15, 1994, AIPS 1994, University of Chicago, Chicago, Illinois. AAAI Press. Pages 182-187 (PDF)

  22. Qiang Yang, Shuo Bai, Guiyou Qiu. A Framework for Automatic Problem Decomposition in Planning. In: Proceedings of the Second International Conference on Artificial Intelligence Planning Systems, June 13-15, 1994, AIPS 1994, University of Chicago, Chicago, Illinois. AAAI Press. Pages 347-352 (PDF)

  23. Craig Knoblock and Qiang Yang. Evaluating the tradeoffs in Partial-Order Planning Algorithms. Proceedings of the Canadian Artificial Intelligence Conference (Canadian AI-94), May 1994, Banff, Alberta, Canada. pages 279-286. (Winner of the Best Paper Award) (PDF)

  24. Eugene Fink and Qiang Yang. Characterizing and Automatically Finding Primary Effects in Planning. In Proceedings of the 13th International Joint Conference on Artificial Intelligence. IJCAI-93. Chambéry, France, August 28 -September 3, 1993. Morgan Kaufmann, 1993 1374-1379. (PDF)

  25. Fahiem Bacchus, Qiang Yang. The Expected Value of Hierarchical Problem-Solving. In: Proceedings of the 10th National Conference on Artificial Intelligence. San Jose, CA, July 12-16, 1992. The AAAI Press / The MIT Press. AAAI-92. Pages 369-374. (PDF)

  26. 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. (PDF)

  27. Eugene Fink and Qiang Yang. Formalizing Plan Justifications. In Proceedings of the Canadian Artificial Intelligence Conference (Canadian AI-92), May 1992, Vancouver, BC Canada. Pages 9-14. (PDF)

  28. David E. Foulser, Ming Li, Qiang Yang. A Quantitative Theory for Plan Merging. In: Proceedings of the 9th National Conference on Artificial Intelligence, July 14-19, 1991. AAAI Press / The MIT Press, 1991. AAAI 1991: 673-678 (PDF)

  29. Craig A. Knoblock, Josh D. Tenenberg, Qiang Yang. Characterizing Abstraction Hierarchies for Planning. In: Proceedings of the 9th National Conference on Artificial Intelligence, July 14-19, 1991. AAAI Press / The MIT Press, 1991. AAAI 1991: 692-697 (PDF)

  30. Fahiem Bacchus, Qiang Yang. The Downward Refinement Property. Proceedings of the 12th International Joint Conference on Artificial Intelligence. Sydney, Australia, August 24-30, 1991. Morgan Kaufmann, 1991. IJCAI 1991: 286-293 (PDF)

  31. Qiang Yang. An Algebraic Approach to Conflict Resolution in Planning. In Proceedings of the Eighth National Conference on Artificial Intelligence (AAAI-90), August 1990, Boston, MA. Pages 40-45.

  32. 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. (PDF)

  33. Qiang Yang. Preprocessing Hierarchical Planning Knowledge for Efficient Planning. In Proceedings of the 9th European Conference on Artificial Intelligence (ECAI-90), August 1990, Stockholm, Sweden. Pages 732-737.

  34. 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.

  35. Qiang Yang. Solving the Problem of Hierarchical Inaccuracy in Planning. In Proceedings of the Eighth Biennial Conference of the Canadian Society for Computational Studies of Intelligence (Canadian AI-90), May 1990, Ottawa, Ontario, Canada. Pages 140-145.

  36. Q. Yang, D. S. Nau, and J. Hendler. Optimization of multiple-goal plans with limited interaction. In Proc. DARPA Workshop on Innovative Approaches to Planning, Scheduling and Control, 1990. USA.

  37. Qiang Yang and Dana S. Nau. Preprocessing Search Spaces for Branch and bound Search. In Proceedings of the Eleventh International Joint Conference on Artificial Intelligence (IJCAI-89), August 1989, Detroit, Michigan. Pages 349-353. (PDF)

  38. Q. Yang and D. S. Nau. Optimization of multiple goal plans in automated manufacturing. Proceedings of the First SIGMAN Workshop on Manufacturing Planning, Aug. 1989.

  39. M. Ssemakula, Dana S. Nau, R. Rangachar, and Qiang Yang. An AI approach to process sequencing. Advances in Manufacturing Engineering 1:271–276, 1989.

  40. Dana S. Nau, Qiang Yang, and James Hendler. Planning for multiple goals with limited interactions. Fifth IEEE Conference on Artificial Intelligence Applications, Miami, Florida, USA 1989.

  41. Qiang Yang, Dana S. Nau, and James Hendler. An approach to multiple-goal planning with limited interactions. AAAI Spring Symposium, Stanford University, CA USA 1989.

  42. M. E. Ssemakula, Dana S. Nau, R. M. Rangachar, and Qiang Yang. Optimal process sequencing in CAPP systems. AUTOFACT ’88, pp. 22–25–22–27. Society of Manufacturing Engineers, MS88-728, 1988.

  43. Dana S. Nau, Raghu Karinthi, G. Vanecek, Jr., and Qiang Yang. Integrating AI and solid modeling for design and process planning. Second IFIP Working Group 5.2 Workshop on Intelligent CAD. University of Cambridge, Sept. 1988.

  44. Dana S. Nau, Nick Ide, Raghu Karinthi, George Vanecek, Jr., and Qang Yang. Solid modeling and geometric reasoning for design and process planning. Third International Conf. CAD/CAM, Robotics, and Factories of the Future, Aug. 1988.

Automated Software Engineering with Plan Recognition and Constraint Reasoning

  1. 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
  2. Steven Woods, Alex Quilici and Qiang Yang. Constraint-based Design Recovery for Software Reengineering: Theory and Experiments. Kluwer Academic Publishers, Dec. 1997.
  3. 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. (PDF)
  4. 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. (PDF)
  5. 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 the Best Paper Award. (PDF)
  6. Steven G. Woods and Qiang Yang. The Program Understanding Problem: Analysis and a Heuristic Approach. In Proceedings of the 18th International Conference on Software Engineering, March 25-29, 1996, (ICSE-96), Berlin, Germany, . IEEE Computer Society. Pages 6-15 (PDF)

 

Case-based Reasoning

Journal Articles

  1. Rong Pan, Qiang Yang and Sinno Jialin Pan. Mining Competent Case Bases for Case-based Reasoning. Artificial Intelligence 171(16-17): 1039-1068 (2007)

  2. 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) (PDF)

  3. 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. (PDF)

  4. 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. (PDF)

  5. 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. (PDF)

  6. 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. (PDF)

  7. 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. (PDF)

  8. 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 (PDF)

Conference Articles

  1. Hankz Hankui Zhuo, Qiang Yang, Lei Li. Constraint-Based Case-Based Planning Using Weighted MAX-SAT. International Conference on Case-Based Reasoning (ICCBR-09), 374-388, 2009. (PDF)

  2. Rong Pan, Qiang Yang, Junfeng Pan and Lei Li. Competence Driven Case-Base Mining. Proceedings of the Twentieth National Conference on Artificial Intelligence (AAAI-05), Pittsburg, PA USA, July 2005. Pages 228-233. (PDF)

  3. Rong Pan, Qiang Yang and Lei Li. Case Retrieval using Nonlinear Feature-space Transformation. In Advances in Case-Based Reasoning: 7th European Conference (ECCBR-04), Series : Lecture Notes in Computer Science, Madrid, Spain, August 30 - September 2, 2004, Pages 544-553. (PDF)

  4. Peng Han, Ruimin Shen, Fan Yang, Qiang Yang. The Application of Case Based Reasoning on a Q&A System. Australian Joint Conference on Artificial Intelligence 2002. AI-02: 704-713 (PDF)

  5. Qiang Yang and Hong Cheng. Case Mining for Action Recommendations. In Proceedings of the IEEE International Conference on Data Mining (IEEE ICDM-02) Conference. Japan, December 2002. IEEE Press. Pages 522-529. (PDF)

  6. Ruimin Shen, Peng Han, Fan Yang, Qiang Yang, Joshua Zhexue Huang: An Open Framework for Smart and Personalized Distance Learning. In Proceedings of the International Conference on Web Based Learning. ICWL-02. Aug 2002. Pages 19-30 (PDF)

  7. Qiang Yang. Making a Case for Case-based Reasoning. Invited Talk at the 2001 Canadian AI Conference. Ottawa, Canada. June 7, 2001. (PDF)

  8. Qiang Yang, Ian Tianyi Li and Henry Hanning Zhang. Mining High-Quality Cases for Hypertext Prediction and Prefetching. In Fourth International Conference on Case Based Reasoning, ICCBR-2001. Vancouver BC, Canada. July 2001. Springer-Verlag. Pages 744-756 (PDF)

  9. Sheng Li and Qiang Yang. Activating Case-Based Reasoning with Active Databases. In the Proceedings of the 5th European Workshop, EWCBR 2000, Trento, Italy, September 6-9, 2000. Lecture Notes in Computer Science 1898 Springer. Pages 3-14. (PDF)

  10. Qiang Yang and Jing Wu: Keep It Simple. A Case-Base Maintenance Policy Based on Clustering and Information Theory. In 13th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI-00, Montréal, Quebec, Canada, May 14-17, 2000, Proceedings. Lecture Notes in Computer Science 1822 Springer. Pages 102-114 (PDF)

  11. Qiang Yang and Hong Cheng. Case Mining from Large Databases. Proceedings of the 5th International Conference on Case based Reasoning (ICCBR-03). Trondheim, Norway. June 2003. Pages 691-702 (PDF)

  12. Irène Abi-Zeid, Qiang Yang, Luc Lamontagne: Is CBR Applicable to the Coordination of Search and Rescue Operations? A Feasibility Study. In: Case-Based Reasoning and Development, Proceedings of the Third International Conference, ICCBR-99, Seeon Monastery, Germany, July 27-30, 1999. Lecture Notes in Computer Science 1650. Pages 358-371 (PDF)

  13. Christina Carrick, Qiang Yang: Activating CBR Systems Through Autonomous Information Gathering. In: Case-Based Reasoning and Development, Proceedings of the Third International Conference, ICCBR-99, Seeon Monastery, Germany, July 27-30, 1999. Lecture Notes in Computer Science 1650. Pages 74-88 (PDF)

  14. Zhong Zhang, Qiang Yang: Dynamic Refinement of Feature Weights Using Quantitative Introspective Learning. In Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, IJCAI-99, Stockholm, Sweden, July 31 - August 6, 1999. Pages 228-233 (PDF)

  15. Jun Zhu, Qiang Yang: Remembering to Add: Competence-preserving Case-Addition Policies for Case Base Maintenance. In Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, IJCAI-99, Stockholm, Sweden, July 31 - August 6, 1999. Pages 234-241 (PDF)

  16. Qiang Yang, Irène Abi-Zeid, Luc Lamontagne: An Agent for Intelligent Situation Assessment. In: Artificial Intelligence: Methodology, Systems, and Applications, Proceedings of the 8th International Conference, AIMSA-98, Sozopol, Bulgaria, September 21-13, 1998. Lecture Notes in Computer Science 1480 Springer 1998. Pages 466-474 (PDF)

  17. Zhong Zhang, Qiang Yang: Towards Lifetime Maintenance of Case Based Indexes for Continual Case Based Reasoning. In: Artificial Intelligence: Methodology, Systems, and Applications, Proceedings of the 8th International Conference, AIMSA-98, Sozopol, Bulgaria, September 21-13, 1998. Lecture Notes in Computer Science 1480 Springer 1998. Pages 489-500 (PDF)

  18. Kirsti Racine and Qiang Yang: Maintaining Unstructured Case Base. In: Case-Based Reasoning Research and Development, , Proceedings of the Second International Conference, ICCBR-97, Providence, Rhode Island, USA, July 25-27, 1997. Lecture Notes in Computer Science 1266 Springer 1997. Pages: 553-564. (PDF)

  19. Qiang Yang, Edward Kim and Kirsti Racine. CaseAdvisor: Supporting Interactive Problem Solving and Case Base Maintenance for Help Desk Applications., In IJCAI'97 Workshop on Practical Use of CBR. Nogoya, Japan, August 1997. (PDF)

  20. Kirsti Racine and Qiang Yang, On the Consistency Management of Large Case Bases: the Case for Validation, In Proceedings of the AAAI-96 Workshop on Knowledge Base Validation, American Association for Artificial Intelligence (AAAI-96), August 1996. Oregon, USA. (PDF)


Data Mining, Machine Learning and Web Search

Journal Articles

  1. 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.  (Link, PDF)

  2. 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 (Link, PDF)

  3. 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)

  4. 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. (PDF)

  5. 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) (PDF)

  6. 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 (PDF).

  7. 2010.

  8. Wen Gao, YongHong Tian, Tiejun Huang and Qiang Yang. Vlogging: A survey of videoblogging technology on the web. ACM Comput. Surv.Vol. 42, No. 4. (2010), pp. 1-57. 2010

  9. 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

  10. Evan Wei Xiang, Bin Cao, Derek Hao Hu, Qiang Yang, Bridging Domains Using World Wide Knowledge, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), Feb 4, 2010. IEEE computer Society Digital Library. IEEE Computer Society, http://www.computer.org/portal/web/csdl/doi/10.1109/TKDE.2010.31

  11. Hui Xue, Songcan Chen and Qiang Yang: Discriminatively regularized least-squares classification. Pattern Recognition 42(1): 93-104 (2009) (PDF)

  12. Rong Pan, Qiang Yang and Sinno Jialin Pan. Mining Competent Case Bases for Case-based Reasoning. Artificial Intelligence (AIJ)171(16-17): 1039-1068 (2007)

  13. Chunyan Miao, Qiang Yang, Haijing Fang, Angela Goh: A cognitive approach for agent-based personalized recommendation. Knowl.-Based Syst. 20(4): 397-405 (2007) (PDF)

  14. 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 (Link, PDF)

  15. Xindong Wu, Vipin Kumar, J. Ross Quinlan, Joydeep Ghosh, Qiang Yang, Hiroshi Motoda, Geoffrey J. McLachlan, Angus Ng, Bing Liu, Philip S. Yu, Zhi-Hua Zhou, Michael Steinbach, David J. Hand, Dan Steinberg: Top 10 algorithms in data mining. Knowl. Inf. Syst. 14(1): 1-37 (2008) (PDF)

  16. 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. (PDF)

  17. 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 (Link, PDF)

  18. 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) (PDF)

  19. 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 Information Sciences 14 pp. 2042-2065 (2006) (PDF)

  20. 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. (PDF)

  21. 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

  22. 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 IntelligenceIEEE PAMI). 29(1): 40-51 (2007) (PDF)

  23. 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 EngineeringIEEE TKDE). November 2006 (Vol. 18, No. 11) pp. 1482-1496 (PDF)

  24. 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) (PDF)

  25. Charles Ling and Qiang Yang: Discovering Classification from Data of Multiple Sources. Data Min. Knowl. Discov. 12 (DMKD Journal) (2-3): 181-201 (May 2006) (DOI: 10.1007/s10618-005-0013-7) (PDF)

  26. 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. 12 (DMKD Journal) (2-3): 229-248 (May 2006) (DOI: 10.1007/s10618-005-0015-5) (PDF)

  27. 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 (PDF)

  28. Chengqi Zhang, Qiang Yang, Bing Liu: Guest Editors' Introduction: Special Section on Intelligent Data Preparation. IEEE Trans. Knowl. Data Eng. 17(9): 1163-1165 (2005) (PDF)

  29. 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) (PDF)

  30. 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) (PDF)

  31. Jinyan Li, Limsoon Wong and Qiang Yang. Data Mining in Bioinformatics: Guest editor’s Introduction to the Special Issue, IEEE Intelligent System. Nov/Dec 2005, 20(6), pages 16 -- 18. IEEE Computer Society. (PDF)

  32. Qiang Yang, Craig A. Knoblock, Xindong Wu: Guest Editors' Introduction: Mining Actionable Knowledge on the Web. IEEE Intelligent Systems 19(6): 30-31 (2004) (PDF)

  33. Shichao Zhang, Chengqi Zhang and Qiang Yang. Information Enhancement for Data Mining. IEEE Intelligent Systems 19(2) April 2004. IEEE Intelligent Systems: Special Issue on Information Enhancement for Data Mining. (PDF)

  34. Shichao Zhang, Chengqi Zhang and Qiang Yang, Data Preparation for Data Mining, Applied Artificial Intelligence Journal, Volume 17, Numbers 5-6 / May-July 2003, Pages: 375 - 381 Publisher: Taylor & Francis. (PDF)

  35. Dou Shen, Rong Pan, Jian-Tao Sun, Jeffrey Junfeng Pan, Kangheng Wu, Jie Yin and Qiang Yang. Q2C@UST: Our Winning Solution to Query Classification in KDD Cup 2005. ACM SIGKDD Exploration, December 2005, Volume 7, Issue 2. Pages 100-110.

  36. 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 (PDF)

  37. 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.

  38. 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: 603-620. 2005. (PDF)

  39. 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)

  40. 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.

  41. 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. (PDF)

  42. 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.

  43. 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) (PDF)

  44. 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. (PDF)

  45. 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 (PDF)

  46. Zhong Su, Qiang Yang, Hong-Jiang Zhang, Xiaowei Xu, Yu-Hen Hu, S. Ma. Correlation-based Web-Document Clustering for Web Interface Design. International Journal Knowledge and Information Systems. Springer. (KAIS Journal) 4(2):151-167. 2002 (PDF)

  47. 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.

Conference Articles

  1. 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 Intelligence (AAAI-12). Toronto, Ontario, Canada. July 22-26, 2012. (PDF)

  2. Fangtao Li, Sinno Jialin Pan, Ou Jin, Qiang Yang and Xiaoyan Zhu. Cross-Domain Co-Extraction of Sentiment and Topic Lexicons. In: Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (ACL 2012). Korea, July 2012.

  3. 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)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)

  4. Weizhu Chen, Dong Wang, Yuchen Zhang, Qiang Yang, Understanding Click Noise: A Noise-aware Click Model for Web Search, In 5th ACM Conference on Web Search and Data Mining (ACM WSDM 2012), Seattle, Washington, USA, Feb 2012. 313-322. [Link] 

  5. Danqi Chen, Weizhu Chen, Haixun Wang, 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. 463-472 [Link]

  6. 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. 323-332. [Link] 

  7. 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 (ACM CIKM 2011). Glasgow, UK. Oct 2011. (Best interdisciplinary paper award)  [PDF] 

  8. 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. (Link, PDF) 

  9. 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 (ACM RecSys 2011).  Chicago, USA, Oct 2011. (Link, PDF) 

  10. 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. (PDF) 

  11. Yin Zhu, Yuqiang Chen, Zhongqi Lu, Sinno J. Pan, Gui-Rong Xue, 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. (PDF) 

  12. 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 (PDF) 

  13. 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. (PDF) 

  14. Evan Wei Xiang, Sinno Jialin Pan, Weike Pan, Jian Su and Qiang Yang. Source-Selection-Free Transfer Learning. In Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI-11), Barcelona, Spain, July 2011. (PDF) 

  15. 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. (PDF) 

  16. 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. (PDF) 

  17. 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. (PDF) 

  18. Botao Hu, Yuchen Zhang, Weizhu Chen, Gang Wang and Qiang Yang, Characterize Search Intent Diversity into Click Models, In Proceedings of the 20th International World Wide Web Conference (WWW-11), Hyderabad, India.  March 29-April 1, 2011 (PDF) 

  19. 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. (PDF) \

  20. 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 (PDF) 

  21. 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. (PDF) 

  22. 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. (PDF) 

  23. 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.  (PDF) 

  24. 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) 

  25. 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) 

  26. 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) 

  27. 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) 

  28. 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) 

  29. 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) 

  30. 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.

  31. 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. (Link)

  32. 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 ManagementCIKM'09), Hong Kong, China. November 2-6, 2009. (Link)

  33. 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. (Link)

  34. 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. (Link, PDF)

  35. Xiaoxiao Shi, Wei Fan, Qiang Yang, Jiangtao Ren: Relaxed Transfer of Different Classes via Spectral Partition. ECML/PKDD (2) 2009: 366-381 (PDF)

  36. 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. (PDF)

  37. 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 (PDF)

  38. Bin Li, Qiang Yang, Xiangyang Xue. Can Movies and Books Collaborate? Cross-Domain Collaborative Filtering for Sparsity Reduction. In Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI '09), Pasadena, CA, USA, July 11-17, 2009. (PDF)

  39. 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. (PDF)

  40. 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. (PDF)

  41. Bin Li, Qiang Yang and 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. (PDF)

  42. 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. (PDF)

  43. 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 32nd Annual ACM SIGIR Conference (SIGIR '09), Boston MA USA, July 19-23 2009. (PDF).

  44. 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-08), December 8, 2008, Vancouver, British Columbia, Canada. (Link)

  45. 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

  46. Hui Xue, Songcan Chen, Qiang Yang: Structural Support Vector Machine. ISNN (1) 2008: 501-511

  47. 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-08), Antwerp, Belgium. September 2008. pp. 178-194.

  48. 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-08), Las Vegas, Nevada, USA, August 24-27, 2008. 488-496 (PDF)

  49. Nathan Liu and Qiang Yang. EigenRank: Collaborative Filtering via Rank Aggregation. In Proceedings of the 31st Annual International ACM SIGIR Conference (ACM SIGIR-08), Singapore, 20-24 July 2008. pp. 83-90 2008.

  50. Guirong Xue, Wenyuan Dai, Qiang Yang and Yong Yu. Topic-bridged PLSA for Cross-Domain Text Classification. In Proceedings of the 31st Annual International ACM SIGIR Conference (ACM SIGIR-08), Singapore, 20-24 July 2008. 627-634 (PDF)

  51. 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, (ACM SIGIR-08), Singapore, 20-24 July 2008.619-626 (PDF)

  52. Jian Hu, Lujun Fang, Yang Cao, Hua-Jun Zeng, Hua Li, Qiang Yang and Zheng Chen. Enhancing Text Clustering by Leveraging Wikipedia Semantics. In Proceedings of the 31st Annual International ACM SIGIR Conference (ACM SIGIR-08), Singapore, 20-24 July 2008. 179-186 (PDF)

  53. 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-08), Helsinki, Finland, July 5-9, 2008. 1136-1143 (PDF)

  54. 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-08), Helsinki, Finland. July 5-9, 2008. 1128-1135 (PDF)

  55. Wenyuan Dai, Qiang Yang, Gui-Rong Xue and Yong Yu. Self-taught Clustering. In Proceedings of the 25th International Conference on Machine Learning (ICML-08), Helsinki, Finland, 5-9 July, 2008. 200-207 (PDF)

  56. Sinno Jialin Pan, James T. Kwok and Qiang Yang. Transfer Learning via Dimensionality Reduction. In Proceedings of the 23rd AAAI Conference on Artificial Intelligence (AAAI-08). Chicago, Illinois, USA. July 2008. 677-682 (PDF)

  57. 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. 1383-1388 (PDF)

  58. Vincent W. Zheng, Sinno Jialin Pan, Qiang Yang and Jeffrey J. Pan. Transferring Multi-device Localization Models using Latent Multi-task Learning. In Proceedings of the 23rd AAAI Conference on Artificial Intelligence (AAAI-08). Chicago, Illinois, USA. July 2008. 1427-1432 (PDF)

  59. 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. 1421-1426 (PDF)

  60. Rong Hu, Weizhu Chen, Jian Hu, Yansheng Lu, Zheng Chen and Qiang Yang. Mining Translations of Web Queries from Web Click-through Data. In Proceedings of the 23rd AAAI Conference on Artificial Intelligence (AAAI-08). Chicago, Illinois, USA. July 2008. 1144-1149 (PDF)

  61. 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. 758-763 (PDF)

  62. 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-08) Beijing, China. 969-978 (PDF)

  63. 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 (ACM WSDM-08). Stanford, California, USA. February 11-12, 2008. 149-158 (PDF)

  64. 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 International Conference on Web Search and Data Mining (ACM WSDM-08). Stanford, California, USA. February 11-12, 2008. 139-148 (PDF)

  65. 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 (PDF)

  66. 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 (PDF)

  67. 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 (PDF)

  68. 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 (PDF)

  69. 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 (PDF)

  70. 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 (PDF)

  71. 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 (PDF)

  72. 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. (PDF)

  73. Bin Cao, Dou Shen, Jian-Tao Sun, Xuanhui Wang, Qiang Yang and Zheng Chen. Latent Factor Detection and Tracking with Online Nonnegative Matrix Factorization. In Proceedings of the Twentieth International Joint Conference on Artificial Intelligence (IJCAI-07). Hyderabad , India. January 6-12, 2007. Regular paper (PDF)

  74. Dou Shen, Jian-Tao Sun, Qiang Yang and Zheng Chen. Latent Friend Mining from Blog Data. In Proceedings of the IEEE 6th International Conference on Data Mining (IEEE ICDM-06). Hong Kong, China. December 18-22, 2006. 552-561 (PDF)

  75. 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 (IEEE ICDM-06). Regular paper. Hong Kong, China. December 18-22, 2006. Regular paper. 721-730 (PDF)

  76. 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 (IEEE ICDM-06). Short paper. Hong Kong, China. December 18-22, 2006. (PDF)

  77. 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 (IEEE ICDM-06). Hong Kong, China. December 18-22, 2006. Pages 834-838.

  78. Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen. Text Classification Improved through Multi-gram Models. In Proceedings of the ACM Fifteenth Conference on Information and Knowledge Management (ACM CIKM-06). Arlington, USA. November 6-11, 2006. 672-681 (PDF)

  79. Dou Shen, Jian-Tao Sun, Qiang Yang and 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. Pages 131-138. (PDF)

  80. Dou Shen, Qiang Yang, Jian-Tao Sun and 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. Pages 35-42. (PDF)

  81. Dou Shen, Jian-Tao Sun, Qiang Yang and Zheng Chen. A Comparison of Implicit and Explicit Links for Web Page Classification. Proceedings of the World Wide Web Conference 2006 ( WWW-06). Pages 643-650 (PDF)

  82. 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. Pages 538-545. (PDF)

  83. Shengli Sheng, Charles X. Ling and Qiang Yang. Simple Test Strategies for Cost-Sensitive Decision Trees. In Proceedings of the 16th European Conference on Machine Learning (ECML-05). Porto, Portugal. October 2005. Pages 365-376 (PDF)

  84. 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 rtrieval (ACM SIGIR-05). Salvador, Brazil, August 2005. Pages 194-201 Bibtex (PDF)

  85. Gui-Rong Xue, Qiang Yang, Hua-Jun Zeng, Yong Yu and Zheng Chen. Exploiting the Hierarchical Structure for Web Link Analysis. Proceedings of the 28th annual international conference on Research and development in information retrieval, (ACM SIGIR-05). Salvador, Brazil, August 2005. Pages: 186 - 193. Bibtex (PDF)

  86. 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. (ACM SIGIR). Salvador, Brazil, August 2005. Pages 114-121. Bibtex (PDF)

  87. 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-05). Volume 1, San Diego, USA, 20-26 June 2005 Pages:526-532. Bibtex (PDF)

  88. Jun Yan, QianSheng Cheng, Qiang Yang and Benyu Zhang. An Incremental Subspace Learning Algorithm to Categorize Large Scale Text Data. Proceedings of 7th Asia-Pacific Conference on Web Technologies Research and Development, (APWeb-05), Shanghai China, March 2005. Pages 52-63. LNCS 3399. Bibtex (PDF)

  89. 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-05), Shanghai China, March 2005. Pages 405-416. LNCS 3399. Bibtex (PDF)

  90. Yiming Yang, Qiang Yang, Jialin Pan, Rong Pan, et al. 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. Pages 133-142.

  91. Ning Liu , Benyu Zhang, Jun Yan , Qiang Yang, Shuicheng Yan, Zheng Chen, Fengshan Bai and Wei-Ying Ma. Learning Similarity Measures in Non-Orthogonal Spaces. Thirteenth ACM Conference on Information and Knowledge Management (ACM CIKM-04), November 8-13, 2004. Hyatt Arlington Hotel Washington DC, USA. (PDF)

  92. Gang Wang, Frederick Lochovsky, Qiang Yang. Feature Selection with Conditional Mutual Information MaxiMin in Text Categorization. ACM CIKM'04, Washington D.C., U.S.A. Nov. 2004

  93. 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 (IEEE ICDM 2004). Brighton, United Kingdom, November 2004. IEEE Computer Society. Pages 51-58. (PDF)

  94. 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 ICDM-04). Brighton, United Kingdom, November 2004. IEEE Computer Society. Pages 407-410. (PDF)

  95. 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 ICDM-04). Brighton, United Kingdom, November 2004. IEEE Computer Society. Pages 273-280. (PDF)

  96. Yi-Dong Shen, Zhi-Yong Shen, Shi-Ming Zhang and Qiang Yang. Cluster Cores-based Clustering for High Dimensional Data. Proceedings of the 2004 IEEE International Conference on Data Mining (IEEE ICDM-04). Brighton, United Kingdom, November 2004. IEEE Computer Society. Pages 519-522. (PDF)

  97. Jun Yan, Benyu Zhang, Shuicheng Yan, Qiang Yang, Hua Li, Zheng Chen, Wensi Xi, Weiguo Fan, Wei-Ying Ma and Qiansheng Cheng. IMMC: incremental maximum margin criterion. Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Seattle, Washington, USA, August 22-25, 2004. ACM 2004, (ACM KDD-04): 725-730 (PDF)

  98. Yan Fu, Qiang Yang, Charles X. Ling, Haipeng Wang, Dequan Li, Ruixiang Sun, Hu Zhou, Rong Zeng, Yiqiang Chen, Simin He and Wen Gao. A Kernel-based Case Retrieval Algorithm with Application to Bioinformatics. In Proceedings of the 8th Pacific Rim International Conference on Artificial Intelligence (PRICAI-04), Auckland, New Zealand, August 2004. Pages 544-553 (LNAI 3157)

  99. Dou Shen, 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 (SIGIR-04). Shefield, UK. July 2004. (PDF)

  100. Qiming Huang, Qiang Yang, Joshua Z. Huang, Michael K. Ng: Mining of Web-Page Visiting Patterns with Continuous-Time Markov Models. Proceedings of the Eighth Pacific-Asia Conference on Knowledge Discovery and Data Mining PAKDD-04: 549-558 May, 2004. (PDF)

  101. Raymond Chan, Qiang Yang and Yi-Dong Shen. Mining High Utility Itemsets. Proceedings of the 2003 IEEE International Conference on Data Mining (IEEE ICDM-03). Florida, USA, November 2003. IEEE Computer Society. Pages 19-26. (PDF)

  102. Yidong Shen, Qiang Yang, Zhong Zhang and Hongjun Lu. Mining the Customer's Up-to-Moment Preferences for E-commerce Applications. In Pacific Asia Knowledge Discovery and Data Mining Conference (PAKDD-03), South Korea, 2003. Pages 166 - 177. (PDF)

  103. Ke Wang, Senqiang Zhou, Jack Man Shun Yeung, Qiang Yang. Mining Customer Value: From Association Rules to Direct Marketing. In The Proceedings of the IEEE International Conference on Data Engineering (IEEE ICDE-03), March 2003, Bangalore, India. Pages 738-740. (PDF)

  104. W. Lou, G. Liu, H. Lu, and Q. Yang. Cut-and-Pick Transactions for Proxy Log Mining. In Proceedings of the 2002 Conference on Extending Database Technology (EDBT-02). March 24-28 2002, Prague. Pp. 88-105 (PDF)

  105. Yi-dong Shen, Zhong Zhang and Qiang Yang. Objective-Oriented Utility-Based Association Mining. In Proceedings of the IEEE International Conference on Data Mining (IEEE ICDM-02) Conference. Japan, December 2002. IEEE Press. Pages 426-433 (PDF)

  106. Qiang Yang, Henry Hanning Zhang and Ian Tianyi Li. Mining web logs for prediction models in WWW caching and prefetching. In Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. (ACM KDD-01). August 26 - 29, 2001 San Francisco, California, USA. Pages 473-478 (PDF)

  107. Qiang Yang, Henry Haining Zhang, Ian Tian Yi Li, Ye Lu: Mining Web Logs to Improve Web Caching and Prefetching. In: Web Intelligence 2001, Lecture Notes in Computer Science 2198 Springer 2001. Pages 483-492. (PDF)

  108. Zhong Su, Qiang Yang, HongJiang Zhang: A prediction system for multimedia pre-fetching in Internet. In: Proceedings of the 8th ACM International Conference on Multimedia, October 30 - November 3, 2000, Los Angeles, CA, USA. ACM Multimedia 2000: Pages 3-11 (PDF)

  109. Ye Lu, Chunhui Hu, Xingquan Zhu, HongJiang Zhang, Qiang Yang. A unified framework for semantics and feature based relevance feedback in image retrieval systems. In: Proceedings of the 8th ACM International Conference on Multimedia, October 30 - November 3, 2000, Los Angeles, CA, USA. ACM Multimedia 2000: Pages 31-37 (PDF)

  110. Qiang Yang, Hai-Feng Wang, Ji-Rong Wen, Gao Zhang, Ye Lu, Kai-Fu Lee, HongJiang Zhang. Towards a Next-Generation Search Engine. In: Proceedings of the 6th Pacific Rim International Conference on Artificial Intelligence, Melbourne, Australia, August 28 - September 1, 2000. Lecture Notes in Computer Science 1886 Springer. PRICAI 2000: Pages 5-15 (PDF)

 

Bioinformatics

  1. 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. (PDF)

  2. 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 . (http://www.biomedcentral.com/1471-2105/11/181)

  3. 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 TCBBhttp://www.computer.org/portal/web/csdl/doi/10.1109/TCBB.2010.22, 06 Apr. 2010.

  4. Qian Xu, Derek Hao Hu, Hong Xue, Weichuan Yu and Qiang Yang. Semi-supervised protein subcellular localization. BMC Bioinformatics Journal, 2009, 10:S47 doi:10.1186/1471-2105-10-S1-S47. (PDF)

  5. Can Yang, Xiaowei Zhou, Xiang Wan, Qiang Yang, Hong Xue and Weichuan Yu. Identifying disease-associated SNP clusters via contiguous outlier detection. Bioinformatics. 2011.

  6. Can Yang, Xiang Wan,  Zenyong He, Qiang Yang, and Weichuan Yu.  The choice of null distributions for detecting gene-gene interactions in genome-wide association studies. BMC Bioinformatics. 2011.

  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 (PDF)

  8. Xiang Wan, Can Yang, Qiang Yang, Hong Xue, Xiao Fan, Nelson Tang and Weichuan Yu. BOOST: a fast approach to detecting gene-gene interactions in genome-wide case-control studies. The American Journal of Human Genetics, 10 September 2010 (Vol. 87, Issue 3, pp. 325-340).

  9. Xiang Wan, Can Yan, Qiang Yang, Hong Xue, Nelson Tang and Weichuan Yu. Detecting two-locus associations allowing for interactions in genome-wide association studies. Bioinformatics. 2010.

  10. Can Yang, Xiang Wan, Qiang Yang, Hong Xue, Nelson Tang, and Weichuan 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

  11. Xiang Wan, Can Yang, Qiang Yang, Hong Xue, Nelson Tang, and Weichuan Yu. SNPRuler: Predictive Rule Inference for Epistatic Interaction Detection in Genome-wide Association Studies. Bioinformatics, 26:30-37, 2010.

  12. 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. 2009 (doi:10.1093/bioinformatics/btn652) (PDF)

  13. 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.

  14. 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) (PDF)

  15. 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) (PDF)

  16. Jinyan Li, Limsoon Wong and Qiang Yang. Data Mining in Bioinformatics: Guest editor’s Introduction to the Special Issue, IEEE Intelligent System. Nov/Dec 2005, 20(6), pages 16 -- 18. IEEE Computer Society. (PDF)

  17. 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. (PDF)

  18. 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)

  19. 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.

  20. Yan Fu, Qiang Yang, Charles X. Ling, Haipeng Wang, Dequan Li, Ruixiang Sun, Hu Zhou, Rong Zeng, Yiqiang Chen, Simin He and Wen Gao. A Kernel-based Case Retrieval Algorithm with Application to Bioinformatics. In Proceedings of the 8th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2004), Auckland, New Zealand, August 2004. Pages 544-553 (LNAI 3157)

Social Media and Recommendation Systems


Journal Articles

  1. Nathan Nan Liu, Qiang Yang and Jiachun Du.  Tao of Business - Mobile takes social computing beyond Web 2.0.  Huawei Inc.'s WinWin Magazine, Issue 6, August, 2010. 

  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.  (PDF)

  3. Qian Xu, Evan Wei Xiang, Qiang Yang, Jiachun Du and Jieping Zhnog. SMS Spam Detection using Non-content Features. To appear in IEEE Intelligent Systems, 2012, DOI: 10.1109/MIS.2012.3. Accepted Nov 2011.  (Link, PDF)

  4. 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) (PDF)

  5. Wen Gao, YongHong Tian, Tiejun Huang and Qiang Yang. Vlogging: A survey of videoblogging technology on the web. ACM Comput. Surv.Vol. 42, No. 4. (2010), pp. 1-57. (PDF)

  6. 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)

  7. Gui-Rong Xue, Jie Han, Yong Yu and Qiang Yang. User language model for collaborative personalized search. ACM Trans. Inf. Syst. 27(2): (2009) (PDF)

  8. Chunyan Miao, Qiang Yang, Haijing Fang, Angela Goh: A cognitive approach for agent-based personalized recommendation. Knowl.-Based Syst. 20(4): 397-405

  9. 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. (PDF)

Conference Articles

  1. 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 Intelligence (AAAI-12). Toronto, Ontario, Canada. July 22-26, 2012. (PDF)

  2. 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)

  3. 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)

  4. Weizhu Chen, Dong Wang, Yuchen Zhang, Qiang Yang, Understanding Click Noise: A Noise-aware Click Model for Web Search, In 5th ACM Conference on Web Search and Data Mining (ACM WSDM 2012), Seattle, Washington, USA, Feb 2012. 313-322. [Link]

  5. Danqi Chen, Weizhu Chen, Haixun Wang, 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. 463-472 [Link]

  6. 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. 323-332

  7. 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 (ACM CIKM 2011). Glasgow, UK. Oct 2011. (Best interdisciplinary paper award)  [PDF]

  8. 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. (Link, PDF)

  9. 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 (ACM RecSys 2011).  Chicago, USA, Oct 2011. (Link, PDF)

  10. 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 (PDF)

  11. 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. (PDF)

  12. 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. (PDF)

  13. 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. (PDF)

  14. Botao Hu, Yuchen Zhang, Weizhu Chen, Gang Wang and Qiang Yang, Characterize Search Intent Diversity into Click Models, In Proceedings of the 20th International World Wide Web Conference (WWW-11), Hyderabad, India.  March 29-April 1, 2011 (PDF)

  15. 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. (PDF)

  16. 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. (PDF) 

  17. 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.  (PDF) 

  18. 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) 

  19. 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) 

  20. 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) 

  21. 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. (Link) 

  22. 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. (Link) 

  23. 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. (Link) 

  24. 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. (Link, PDF)

  25. Xiaoxiao Shi, Wei Fan, Qiang Yang, Jiangtao Ren: Relaxed Transfer of Different Classes via Spectral Partition. ECML/PKDD (2) 2009: 366-381 (PDF) 

  26. 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. (PDF) 

  27. 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 (PDF) 

  28. Bin Li, Qiang Yang, Xiangyang Xue. Can Movies and Books Collaborate? Cross-Domain Collaborative Filtering for Sparsity Reduction. In Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI '09), Pasadena, CA, USA, July 11-17, 2009. (PDF) 

  29. 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. (PDF) 

  30. Bin Li, Qiang Yang and 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. (PDF) 

  31. Rong Pan, Yunhong Zhou, Bin Cao, Nathan Nan Liu, Rajan M. Lukose, Martin Scholz, Qiang Yang: One-Class Collaborative Filtering. IEEE ICDM 2008: 502-511.(PDF) 

  32. 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. 

  33. Nathan Liu and Qiang Yang. EigenRank: Collaborative Filtering via Rank Aggregation. In Proceedings of the 31st Annual International ACM SIGIR Conference (ACM SIGIR 08), Singapore, 20-24 July 2008. pp. 83-90 2008. (PDF)

  34. Dou Shen, Jian-Tao Sun, Qiang Yang and Zheng Chen. Latent Friend Mining from Blog Data. In Proceedings of the IEEE 6th International Conference on Data Mining (IEEE ICDM 06), Hong Kong, China. December 18-22, 2006.  552-561 (PDF) 

  35. 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 (IEEE ICDM 06), Short paper. Hong Kong, China. December 18-22, 2006.  (PDF) 

  36. Dou Shen, Jian-Tao Sun, Qiang Yang and 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. Pages 131-138. (PDF)

  37. Dou Shen, Qiang Yang, Jian-Tao Sun and 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.  Pages 35-42.   (PDF)

  38. Dou Shen, Jian-Tao Sun, Qiang Yang and Zheng Chen. A Comparison of Implicit and Explicit Links for Web Page Classification. In Proceedings of the World Wide Web Conference 2006 (WWW 06).  Pages 643-650 (PDF) 

  39. Gui-Rong Xue, Qiang Yang, Hua-Jun Zeng, Yong Yu and Zheng Chen, Exploiting the Hierarchical Structure for Web Link Analysis. In Proceedings of the 28th annual international conference on Research and development in information retrieval,  (ACM SIGIR), Salvador, Brazil, August 2005. Pages: 186 - 193.   (Link) 

  40. Gui-Rong Xue, Chenxi Lin, Qiang Yang, WenSi Xi, Hua-Jun Zeng, Yong Yu, Zheng Chen. Scalable Collaborative Filtering Using Cluster-based Smoothing. In Proceedings of the 28th annual international conference on Research and development in information retrieval. (ACM SIGIR),  Salvador, Brazil, August 2005.  Pages 114-121.   (PDF) 

  41. Ning Liu, Benyu Zhang, Jun Yan , Qiang Yang, Shuicheng Yan, Zheng Chen, Fengshan Bai and Wei-Ying Ma.  Learning Similarity Measures in Non-Orthogonal Spaces.  Thirteenth ACM Conference on Information and Knowledge Management (ACM CIKM 2004), November 8-13, 2004. Hyatt Arlington Hotel Washington DC, USA.  (PDF) 

  42. Ke Wang, Senqiang Zhou, Jack Man Shun Yeung, Qiang Yang, Mining Customer Value: From Association Rules to Direct Marketing, In Proceedings of the IEEE International Conference on Data Engineering (IEEE ICDE 03), March 2003, Bangalore, India.  Pages 738-740. (PDF)

  43. Chunyan Miao, Haijing Fang, Xuehong Tao, Qiang Yang, and Robert K. L. Gay: An Agent Approach for Personalized Recommendation. In Proceedings of the 1st International Conference on Fuzzy Systems and Knowledge Discovery: Computational Intelligence for the E-Age, November 18-22, 2002, Orchid Country Club, Singapore, FSKD 2002: 231-235.

  44. Chunyan Miao, Qiang Yang, Haijing Fang, Angela Goh.  Fuzzy Cognitive Agents for Personalized Recommendation.  In Proceedings of the 3rd International Conference on Web Information Systems Engineering (WISE2003), Singapore.  December 2002.  IEEE Computer Society.  Pages 362-372.  (PDF)