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Publication List

Conference papers

  1. Wei Chen, Tie-Yan Liu, Yanyan Lan, Zhiming Ma, Hang Li, Ranking Measures and Loss Functions in Learning to Rank. In Advances in Neural Information Processing Systems 22 (NIPS’09), to appear.
  2. Fen Xia, Tie-Yan Liu, Hang Li, Statistical Consistency of Top-k Ranking. In Advances in Neural Information Processing Systems 22 (NIPS’09), to appear.
  3. Bin Gao, Tie-Yan Liu, Zhiming Ma, Taifeng Wang, Hang Li, A General Markov Framework for Page Importance Computation. In Proceedings of the 18th ACM Conference on Information and Knowledge Management (CIKM’09, short paper), to appear, 2009. (pdf)
  4. Jiafeng Guo, Gu Xu, Xueqi Cheng, Hang Li, Named Entity Recognition in Query. In Proceedings of the 32nd Annual International ACM SIGIR Conference (SIGIR’09), 267-274, 2009. (pdf)
  5. Xin Jiang, Yunhua Hu, Hang Li, A Ranking Approach to Keyphrase Extraction. In Proceedings of the 32nd Annual International ACM SIGIR Conference (SIGIR’09, poster), 756-757, 2009. (pdf)
  6. Gu Xu, Shuanghong Yang, Hang Li, Named Entity Mining from Click-Through Log Using Weakly Supervised Latent Dirichlet Allocation. In Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'09), 1365-1374, 2009. (pdf)
  7. Bin Zhou, Daxin Jiang, Jian Pei, Hang Li, OLAP on Search Logs: An Infrastructure Supporting Data-Driven Applications in Search Engines. In Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'09), 1395-1404, 2009. (pdf)
  8. Yanyan Lan, Tie-Yan Liu, Zhi-Ming Ma, Hang Li. Generalization Analysis of Listwise Learning to Rank Algorithms. In Proceedings of the 26th International Conference on Machine Learning (ICML’09), 577-584, 2009. (pdf)
  9. Huanhuan Cao, Daxin Jiang, Jian Pei, Enhong Chen, Hang Li, Towards Context-aware Search by Learning a Very Large Variable Length Hidden Markov Model from Search Logs. In Proceedings of the 18th World Wide Web Conference (WWW'09), 191-200, 2009. (pdf)
  10. Qi He, Daxin Jiang, Zhen Liao, Steven C. H. Hoi, Kuiyu Chang, Ee-Peng Lim, Hang Li. Web Query Recommendation via Sequential Query Prediction. In Proceedings of the 25th International Conference on Data Engineering (ICDE'09), pages 1443-1454, 2009. (pdf)
  11. Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang, Hang Li. Global Ranking Using Continuous Conditional Random Fields. In Advances in Neural Information Processing Systems 21 (NIPS’08), pages 1281-1288, 2009. (pdf)
  12. Yuting Liu, Bin Gao, Tie-Yan Liu, Ying Zhang, Zhiming Ma, Shuyuan He, Hang Li. BrowseRank: Letting Users Vote for Page Importance, In Proceedings of the 31st Annual International ACM SIGIR Conference (SIGIR’08), pages 451-458, 2008. (SIGIR’08 Best Student Paper Award) (pdf)
  13. Huanhuan Cao, Daxin Jiang, Jian Pei, Qi He, Zhen Liao, Enhohng Chen, Hang Li. Context-Aware Query Suggestion by Mining Click-Through and Session Data, In Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'08), pages 875-883, 2008. (SIGKDD’08 Best Application Paper Award) (pdf)
  14. Jun Xu, Tie-Yan Liu, Min Lu, Hang Li, Wei-Ying Ma. Directly Optimizing Evaluation Measures in Learning to Rank. In Proceedings of the 31st Annual International ACM SIGIR Conference (SIGIR’08), pages 107-114, 2008. (pdf)
  15. Xiubo Geng, Tie-Yan Liu, Tao Qin, Andrew Arnold, Hang Li, Heung-Yeung Shum. Query Dependent Ranking with K Nearest Neighbor. In Proceedings of the 31st Annual International ACM SIGIR Conference (SIGIR’08), pages 115-122, 2008. (pdf)
  16. Jiafeng Guo, Gu Xu, Hang Li, Xueqi Cheng. A Unified and Discriminative Model for Query Refinement. In Proceedings of the 31st Annual International ACM SIGIR Conference (SIGIR’08), pages 379-386, 2008. (pdf)
  17. Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang, Wen-Ying Xiong, and Hang Li. Learning to Rank Relational Objects and Its Application to Web Search. In Proceedings of the 17th International World Wide Web Conference (WWW’08), pages 407-416 , 2008. (pdf)
  18. Rong Jin, Hamed Valizadegan, and Hang Li. Ranking Refinement and Its Application to Information Retrieval. In Proceedings of the 17th International World Wide Web Conference (WWW’08), pages 397-406, 2008. (pdf)
  19. Gu Xu, Hang Li, and Wei-Ying Ma. Fora: Leveraging the Power of Internet Communities for Question Answering. In Proceedings of the 1st International Workshop on Question Answering on the Web (QAWeb’08), 2008. (pdf)
  20. Xiaonan Ji, Gu Xu, James Bailey, and Hang Li. Mining, Ranking, and Using Acronym Patterns. In Proceedings of the 10th Asia Pacific Web Conference (APWeb’08), pages 371-382, 2008. (pdf)
  21. Congkai Sun, Bin Gao, Zhenfu Cao, and Hang Li, HTM: A Topic Model for Hypertexts, In Proceedings of the 2008 conference on Empirical Methods in Natural Language Processing (EMNLP’08), pages 514-522, 2008. (pdf)
  22. Fen Xia, Tie-Yan Liu, Jue Wang, Wensheng Zhang, Hang Li. Listwise Approach to Learning to Rank –Theory and Algorithm, In Proceedings of the 25th International Conference on Machine Learning (ICML’08), pages 1192-1199, 2008. (pdf)
  23. Yanyan Lan, Tie-Yan Liu, Tao Qin, Zhiming Ma, Hang Li. Query Level Stability and Generalization in Learning to Rank, In Proceedings of the 25th International Conference on Machine Learning (ICML’08), pages 512-519, 2008. (pdf)
  24. Jun Xu, Yunbo Cao, Hang Li, Nick Craswell, and Yalou Huang. Searching Documents based on Relevance and Type. In Proceedings of the 29th European Conference on Information Retrieval (ECIR’07), pages 629-636, 2007. (pdf)
  25. Yu-Ting Liu, Tie-Yan Liu, Tao Qin, Zhi-Ming Ma, and Hang Li. Supervised Rank Aggregation. In Proceedings of the 16th International World Wide Web Conference (WWW’07), pages 481-490, 2007. (pdf)
  26. Zhe Cao, Tao Qin, Tie-Yan Liu, Ming-Feng Tsai, and Hang Li. Learning to Rank: From Pairwise Approach to Listwise Approach. In Proceedings of the 24th International Conference on Machine Learning (ICML’07), pages 129-136, 2007. (pdf)
  27. Tao Qin, Tie-Yan Liu, Wei Lai, Xu-Dong Zhang, De-Sheng Wang, and Hang Li. Ranking with Multiple Hyperplanes. In Proceedings of the 30th Annual International ACM SIGIR Conference (SIGIR’07), pages 279-286, 2007. (pdf)
  28. Jun Xu and Hang Li. AdaRank: A Boosting Algorithm for Information Retrieval. In Proceedings of the 30th Annual International ACM SIGIR Conference (SIGIR’07), pages 391-398, 2007. (pdf)
  29. Xiuobo Geng, Tie-Yan Liu, Tao Qin, and Hang Li. Feature Selection for Ranking. In Proceedings of the 30th Annual International ACM SIGIR Conference (SIGIR’07), pages 407-414, 2007. (pdf)
  30. Tie-Yan Liu, Jun Xu, Tao Qin, Wenying Xiong, and Hang Li. LETOR: Benchmark Dataset for Research on Learning to Rank for Information Retrieval. In Proceedings of SIGIR 2007 Workshop on Learning to Rank for Information Retrieval, 2007. (pdf)
  31. Yunbo Cao, Jun Xu, Tie-Yan Liu, Hang Li, Yalou Huang, Hsiao-Wuen Hon. Adapting Ranking SVM to Document Retrieval. In Proceedings of the 29th Annual International ACM SIGIR Conference (SIGIR’06), pages 186-193, 2006. (pdf)
  32. Min Zhao, Hang Li, Adwait Ratnaparkhi, Hsiao-Wuen Hon, and Jue Wang. Adapting Document Ranking to Users Preferences using Click-through Data. In Proceedings of Asian Information Retrieval Symposium 2006, pages 26-42, 2006. (pdf)
  33. Guoping Hu, Jingjing Liu, Yunbo Cao, Hang Li, Jian-Yun Nie, and Jianfeng Gao. A Supervised Learning Approach to Entity Search. In Proceedings of Asian Information Retrieval Symposium 2006, pages 54-66, 2006. (pdf)
  34. Jun Xu, Yunbo Cao, Hang Li, and Yalou Huang. Cost Sensitive Learning of SVM for Ranking. In Proceedings of the 17th European Conference on Machine Learning (ECML’06), pages 833-840, 2006. (pdf)
  35. Shenghua Bao, Yunbo Cao, Bing Liu, Yong Yu, and Hang Li. Mining Latent Associations of Objects Using a Typed Mixture Model - A Case Study on Expert/Expertise Mining. In Proceedings of the 2006 IEEE International Conference on Data Mining (ICDM’06), pages 803-807, 2006. (pdf)
  36. Guoyang Shen, Bin Gao, Tie-Yan Liu, Guang Feng, Shiji Song, and Hang Li. Detecting Link Spam using Temporal Information. In Proceedings of the 2006 IEEE International Conference on Data Mining (ICDM’2006, short paper), pages 1049-1053, 2006. (pdf)
  37. Jun Xu, Yunbo Cao, Hang Li, and Min Zhao. Ranking Definitions with Supervised Learning Method. In Proceedings of the 14th World Wide Web Conference (WWW’05), pages 811-819, 2005. (pdf)
  38. Yunhua Hu, Hang Li, Yunbo Cao, Dmitriy Meyerzon, and Qinghua Zheng. Automatic Extraction of Titles from General Documents using Machine Learning. In Proceedings of the 14th Joint Conference on Digital Library 2005 (JCDL’05), pages 145-154, 2005. (pdf)
  39. Yunhua Hu, Guomao Xin, Ruihua Song, Guoping Hu, Shuming Shi, Yunbo Cao, and Hang Li. Title Extraction from Bodies of HTML Documents and Its Application to Web Page Retrieval. In Proceedings of the 28th Annual International ACM SIGIR Conference (SIGIR’05), pages 250-257, 2005. (pdf)
  40. Jie Tang, Hang Li, Yunbo Cao, and Zhaohui Tang. Email Data Cleaning. In Proceedings of the 11th ACM KDD International Conference on Knowledge Discovery and Data Mining 2005 (KDD’05), pages 489-498, 2005. (pdf)
  41. Hang Li, Yunbo Cao, Jun Xu, Yunhua Hu, Shenjie Li, and Dmitriy Meyerzon. A New Approach to Intranet Search Based on Information Extraction. In Proceedings of the 14th ACM Conference on Information and Knowledge Management (CIKM’05), industry track, pages 460-468, 2005. (pdf)
  42. Yunbo Cao, Jingjing Liu, Shenghua Bao, and Hang Li. Research on Expert Search at Enterprise Track of TREC 2005. In Proceedings of the 14th Text Retrieval Conference (TREC'05), 2005. (pdf)
  43. Cong Li, J-Rong Wen, and Hang Li. Text Classification Using Stochastic Keyword Generation. In Proceedings of the 20th International Conference on Machine Learning (ICML’03), pages 464-471, 2003.
  44. Yunbo Cao, Hang Li, and Li Lian. Uncertainty Reduction in Collaborative Bootstrapping: Measure and Algorithm. In Proceedings of the 41st Annual Meeting of Association for Computational Linguistics (ACL’03), pages 327-334, 2003.
  45. Jianfeng Gao, Joshua T. Goodman, Guihong Cao, and Hang Li. Exploring Asymmetric Clustering for Statistical Language Modeling. In Proceedings of the 40th Annual Meeting of Association for Computational Linguistics (ACL’02), pages 183-190, 2002.
  46. Cong Li and Hang Li. Word Translation Disambiguation Using Bilingual Bootstrapping. In Proceedings of the 40th Annual Meeting of Association for Computational Linguistics (ACL’02), pages 343-351, 2002.
  47. Yunbo Cao and Hang Li. Base Noun Phrase Translation Using Web Data and the EM Algorithm. In Proceedings of the 19th International Conference on Computational Linguistics (COLING’02), pages 127-133, 2002.
  48. Hang Li and Kenji Yamanishi. Mining from Open Answers in Questionnaire Data. In Proceedings of the 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’01), pages 443-449, 2001.
  49. Hang Li and Kenji Yamanishi. Topic Analysis Using a Finite Mixture Model. Proceedings of Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large (EMNLP-VLC’00), pages 35-44, 2000.
  50. Hang Li and Kenji Yamanishi. Text Classification Using ESC-based Stochastic Decision Lists. Proceedings of the 8th ACM International Conference on Information and Knowledge Management (CIKM’99), pages 122-130, 1999.
  51. Hang Li and Naoki Abe. Word Clustering and Disambiguation based on Co-occurrence Data. In Proceedings of the 18th International Conference on Computational Linguistics and the 36th Annual Meeting of Association for Computational Linguistics (COLING-ACL’98), pages 749-755, 1998.
  52. Hang Li and Kenji Yamanishi. Document Classification Using a Finite Mixture Model. In Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics (ACL’97), pages 39-47, 1997.
  53. Naoki Abe and Hang Li. Learning Word Association Norms Using Tree Cut Pair Models. In Proceedings of the 13th International Conference on Machine Learning (ICML’96), pages 3-11, 1996.
  54. Hang Li and Naoki Abe. Clustering Words with the MDL Principle. In Proceedings of the 16th International Conference on Computational Linguistics (COLING’96), pages 5-9, 1996.
  55. Hang Li and Naoki Abe. Learning Dependencies between Case Frame Slots. In Proceedings of the 16th International Conference on Computational Linguistics (COLING’96), pages 10-15, 1996.
  56. Hang Li. A Probabilistic Disambiguation Method based on Psycholinguistic Principles. In Proceedings of the 4th Workshop on Very Large Corpora (VLC’96), pages 141-154, 1996.
  57. Naoki Abe, Hang Li, and Atsuyoshi Nakamura. On-line Learning of Binary Lexical Relations Using Two-dimensional Weighted Majority Algorithms. In Proceedings of the 12th International Conference on Machine Learning (ICML’95), pages 3-11, 1995.
  58. Hang Li and Naoki Abe. Generalizing Case Frames Using a Thesaurus and the MDL Principle. In Proceedings of Recent Advances in Natural Language Processing (RANLP’95), pages 230-248, 1995.
  59. John A. Bateman and Hang Li. The Application of Systemic-functional Grammar to Japanese and Chinese for Use in Text Generation. In Proceedings of the 1988 International Conference on Computer Processing of Chinese and Oriental Languages, pages 443-447, 1988.

Journal papers

  1. Yuting Liu, Tie-Yan Liu, Zhiming Ma, and Hang Li. A Framework to Compute Page Importance based on User Behaviors, Information Retrieval Journal, to appear.
  2. Ming Li, Hang Li, Zhi-Hua Zhou. Semi-Supervised Document Retrieval. Information Processing and Managment. 45:341-355, 2009.
  3. Tao Qin, Xu-Dong Zhang, Ming-Feng Tsai, De-Sheng Wang, Tie-Yan Liu, and Hang Li. Query-level Loss Functions for Information Retrieval. Information Processing and Management, 44:838-855, Elsevier Science, 2008.
  4. Yewei Xue, Yunhua Hu, Guomao Xin, Ruihua Song, Shuming Shi, Yunbo Cao, Chin-Yew Lin, and Hang Li. Web Page Title Extraction and Its Application. Information Processing & Management, 43(5):1332-1347, Elsevier Science, 2007.
  5. Jun Xu, Yunbo Cao, Hang Li, Min Zhao, and Yalou Huang. A Supervised Learning Approach to Search of Definitions. Journal of Computer Science and Technology, 21(3):439-449, Springer, 2006.
  6. Yunhua Hu, Hang Li, Yunbo Cao, Li Teng, Dmitriy Meyerzon, and Qinghua Zheng. Automatic Extraction of Titles from General Documents using Machine Learning. Information Processing & Management, 42(5):1276-1293, Elsevier Science, 2006.
  7. Hang Li and Cong Li. Word Translation Disambiguation Using Bilingual Bootstrapping. Computational Linguistics, 30(1):1-22, MIT Press, 2004.
  8. Hang Li and Kenji Yamanishi. Topic Analysis Using a Finite Mixture Model. Information Processing & Management, 39(4):521-541, Elsevier Science, 2003.
  9. Hang Li, Yunbo Cao, and Cong Li. Using Bilingual Web Data to Mine and Rank Translations. IEEE Intelligent Systems, 39(4):54-59, 2003.
  10. Hang Li and Kenji Yamanishi. Text Classification Using ESC-based Stochastic Decision Lists. Information Processing & Management, 38(3):343-361, Elsevier Science, 2002.
  11. Hang Li. Word Clustering and Disambiguation based on Co-occurrence Data. Natural Language Engineering, 8(1):25-42, Cambridge University Press, 2002.
  12. Kenji Yamanishi and Hang Li. Mining Open Answers in Questionnaire Data. IEEE Intelligent Systems, 17(5):58-63, 2002.
  13. Hang Li and Naoki Abe. Learning Dependencies between Case Frame Slots. Computational Linguistics, 25(3):283-291, MIT Press, 1999.
  14. Hang Li and Naoki Abe. Generalizing Case Frames Using a Thesaurus and the MDL Principle. Computational Linguistics, 24(2):217-244, MIT Press, 1998.
  15. Hang Li and Naoki Abe. Clustering Words with the MDL Principle. Journal of Natural Language Processing, 4(2):71-88, The Natural Language Processing Society of Japan, 1997.
  16. Hang Li. A Probabilistic Disambiguation Method based on Psycholinguistic Principles . Computer Software, 13(6):53-65, Iwanami Shoten, 1996. (in Japanese)

Articles

  1. Hang Li, Tie-Yan Liu, ChengXiang Zhai: Learning to rank for information retrieval (LR4IR 2008). SIGIR Forum 42(2): 76-79, 2008.
  2. Thorsten Joachims, Hang Li, Tie-Yan Liu, ChengXiang Zhai: Learning to rank for information retrieval (LR4IR 2007). SIGIR Forum 41(2):58-62, 2007.
  3. Hang Li. Text Mining. Machine Learning and Its Applications, Tsinghua University Press, 2005. (in Chinese)
  4. Hang Li. Machine Learning and Natural Language Processing. Issues in Chinese Information Processing, Science Press 2003. (in Chinese)
  5. Hang Li. Introduction to Model Selection - Using Natural Language Processing Problems as Examples. IPSJ Magazine, 42(1), The Information Processing Society of Japan, 2001. (in Japanese)
  6. Hang Li. Text Classification Using Machine Learning Techniques. Journal of SICE, 38(7):456-460, The Society of Instrument and Control Engineers, 1999. (in Japanese)
  7. I. Dan Melamed and Hang Li. Review of Ambiguity Resolution in Language Learning: Computational and Cognitive Models. by Hinrich Schütze, Computational Linguistics, 25(3):436-439, MIT Press, 1998.