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Home > People > Jun Xu
Jun Xu

I am an associate researcher at Microsoft Research Asia (MSRA), Information Retrieval and Mining (IRM) Group.

I obtained a B.S. in July 2001 and a Ph.D. in Computer Application and Technology in July 2006, both from Nankai University. My advisor is professor Huang Ya-lou. Thesis: Cost-sensitive Learning of Ranking for Information Retrieval.

I participated in the Microsoft Research Asia Internship Program from September 2003 to December 2005 as a member of Natural Language Computing Group. My mentor is Dr. Hang Li.  

Contact Information

Microsoft Research Asia,
4F, Sigma Center No. 49 Zhichun Road, Haidian Distinct
Beijing, China 100190
Email: junxu AT microsoft.com; nkxj AT hotmail.com
Live Space: http://nkxj.spaces.live.com/
Tel: +86-10-58963171

Publications

  1. Jun Xu, Hang Li, and Chaoliang Zhong. Relevance Ranking using Kernels. Microsoft Research Technical Report, MSR-TR-2009-80, 2009. (link) 
  2. Weijian Ni, Jun Xu, Hang Li, and Yalou Huang. Group-based Learning — A Boosting Approach. Proceedings of the 17th ACM Conference on Information and Knowledge Management, Napa Valley, California, October 26-30, 2008.(poster pdf)
  3. Tao Qin, Tie-Yan Liu, Jun Xu, and Hang Li. How to Make LETOR More Useful and Reliable. Proceedings of SIGIR 2008 Workshop on Learning to Rank for Information Retrieval (LR4IR 2008), Singapore, 2008. (pdf)
  4. Jun Xu, Tie-Yan Liu, Min Lu, Hang Li, and Wei-Ying Ma. Directly Optimizing Evaluation Measures in Learning to Rank. Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval, Singapore, pp. 107-114, 2008.(pdf)
  5. 刘铁岩, 徐君, 李航, 马维英. 为搜索引擎学习最优的排序模型. 中国计算机学会通讯(Communications of CCF), 第3卷, 第10期, 41—45页, 2007年10月.
  6. Jun Xu and Hang Li. AdaRank: A Boosting Algorithm for Information Retrieval. Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, Amsterdam, The Netherlands, pp. 391-398, 2007. (pdf)
  7. Tie-Yan Liu, Jun Xu, Tao Qin, Wenying Xiong, and Hang Li. LETOR: Benchmarking “Learning to Rank for Information Retrieval”. Proceedings of SIGIR 2007 Workshop on Learning to Rank for Information Retrieval (LR4IR 2007), Amsterdam, The Netherlands, 2007. (pdf)
  8. Jun Xu, Yunbo Cao, Hang Li,  Nick Craswell, and Yalou Huang. Searching Documents Based on Relevance and Type. Proceedings of  the 29th European Conference on Information Retrieval (ECIR2007), Rome, Italy, pp. 629-636, 2007. (pdf)
  9. Jun Xu, Yunbo Cao, Hang Li,  and Yalou Huang. Cost-sensitive Learning of SVM for Ranking. Proceedings of  the 17th European Conference on Machine Learning (ECML2006), Berlin, Germany, pp. 833-840, 2006. (pdf)
  10. Yunbo Cao, Jun Xu, Tie-Yan Liu, Hang Li, Yalou Huang, and Hsiao-Wuen Hon. Adapting ranking SVM to document retrieval. Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, Seattle, Washington, USA, pp. 186-193, 2006. (pdf)
  11. 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 (JCST), Vol. 21(3), pp. 439-449, 2006. (pdf) 
  12. Jun Xu and Ya-lou Huang. Using SVM to Extract Acronyms from Text. Soft Computing - A Fusion of Foundations, Methodologies and Applications, Springer Berlin Heidelberg, Vol. 10, 2006. (link, pdf) 
  13. Hang Li, Yunbo Cao, Jun Xu, Yunhua Hu, Shenjie Li, and Dmitriy Meyerzon, A New Approach to Intranet Search Based on Information Extraction. Proceedings of the 14th ACM international conference on Information and knowledge management industry track, Bremen, Germany, pp. 460-468, 2005. (pdf)
  14. Jun Xu, Yunbo Cao,  Hang Li, and Min Zhao. Ranking Definitions with Supervised Learning Methods. Proceedings of the 14th International World Wide Web Conference, Industrial and Practical Experience Track, Chiba, Japan, pp. 811-819, 2005.(pdf)
  15. Jun Xu and Ya-lou Huang. A Machine Learning Approach to Recognizing Acronyms and Their Expansions. Proceedings of the 4th International Conference on Machine Learning and Cybernetics, Guangzhou, China, Vol. 4, pp. 2313-2319, 2005.  (ICMLC 2005 Lotfi A Zadeh Outstanding Paper Award) (pdf)
  16. Jun Xu, Yalou Huang, and Fei Li. Research on Comparing the Sequential Learning with Batch Learning for K-Means. Computer Science, Vol.31(6), pp.156-158, 193, 2004. 

Patents Filed

  1. Directly Optimizing Evaluation Measures in Learning to Rank
  2. Information Retrieval and Ranking
  3. Search Results Ranking using Editing Distance and Document Information
  4. Topics in Relevance Ranking Model for Web Search
  5. Search by Document Type
  6. A Cost-Sensitive Framework for Supervised Ranking Learning

Professional Activities

  • Program Committee, SIGIR 2009 Workshop Learning to Rank for Information Retrieval L2R4IR'09 (link)
  • Program Committee, EMNLP 2009, information retrieval and question answering (link)
  • Program Committee, ACL-IJCNLP 2009, Information Retrieval (link)
  • Program Committee, EMNLP 2008, Document Collections and Information Retrieval (link)
  • Program Committee, SIGIR 2008 Workshop Learning to Rank for Information Retrieval(link)
  • Reviewer, The 3rd International Joint Conference on Natural Language Processing (IJCNLP 2008)
  • Reviewer, Journal of Software (link)

Links

Hang Li, Tie-Yan Liu, Yunhua Hu, Bin Gao, Tao Qin, Jie Tang
Information Retrieval and Mining Group, IIP Lab, Nankai University

Modified by Jun Xu on April 15, 2009