Dr. Tao Qin joined Microsoft Research Asia as an associate researcher in July 2008. His research interests include information retrieval, machine learning (learning to rank), data mining, optimization, graph representation and learning. Prior to joining Microsoft, he got his PhD degree (2008) and Bachelor degree (2003) from Tsinghua University. From September 2003 to June 2004, he was with Microsoft Research Asia as a visiting student with the Media Computing Group. From July 2004 to June 2008, he had been a visiting student with Web Search and Mining Group.
What's new
- One paper was accepted by WSDM2010.
- LETOR4.0 has been released. If you find any problems or have any suggestions about LETOR4.0, please let us know.
Selected Publications (Full List)
- Jiang Bian, Tie-Yan Liu, Tao Qin, Hongyuan Zha. Ranking with Query-Dependent Loss for Web Search, WSDM2010.
- Zhengya Sun, Tao Qin, Jue Wang, Qing Tao. Robust Sparse Rank Learning for Non-Smooth Ranking Measures, SIGIR 2009.
- Tao Qin, Tie-Yan Liu, Hang Li. A General Approximation Framework for Direct Optimization of Information Retrieval Measures, no. MSR-TR-2008-164, pp. 0, Microsoft Research, Nov. 2008.
- Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang, Hang Li. Global Ranking Using Continuous Conditional Random Fields, NIPS 2008. [Full Oral Paper] [Technique report][bibtex]
- Yan-Yan Lan, Tie-Yan Liu, Tao Qin, Zhi-Ming Ma, Hang Li. Query-Level Stability and Generalization in Learning to Rank, ICML 2008.
- Xiu-Bo Geng, Tie-Yan Liu, Tao Qin, Andrew Arnold, Hang Li, Heung-Yeung Shum. Query Dependent Ranking Using K-Nearest Neighbor, SIGIR 2008.
- Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang, Wenying Xiong, Hang Li. Learning to Rank Relational Objects and Its Application to Web Search, WWW 2008. [slides]
- 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, 2008 . [DOI]
- Tie-Yan Liu, Jun Xu, Tao Qin, Wenying Xiong, Hang Li. LETOR: Benchmarking "Learning to Rank for Information Retrieval", SIGIR 2007 workshop: Learning to Rank for Information Retrieval.
- Zhe Cao, Tao Qin, Tie-Yan Liu, Ming-Feng Tsai, Hang Li. Learning to Rank: From Pairwise Approach to Listwise Approach, ICML 2007.
- Tao Qin, Tie-Yan Liu, Wei Lai, Xu-Dong Zhang, De-Sheng Wang, Hang Li. Ranking with Multiple Hyperplanes, SIGIR 2007.
- Xiubo Geng, Tie-Yan Liu, Tao Qin, Hang Li. Feature Selection for Ranking, SIGIR 2007.
- Mingfeng Tsai, Tie-Yan Liu, Tao Qin, Hsin-Hsi Chen, Wei-Ying Ma. FRank: A Ranking Method with Fidelity Loss, SIGIR 2007.
- Yu-Ting Liu, Tie-Yan Liu, Tao Qin, Zhi-Ming Ma, Hang Li. Supervised Rank Aggregation, WWW 2007.
- Bin Gao, Tie-Yan Liu, Tao Qin, Xin Zheng, Qian-Sheng Cheng, Wei-Ying Ma. Web Image Clustering by Consistent Utilization of Low-level Features and Surrounding Texts, ACM Multimedia 2005.
- Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, Zheng Chen, Wei-Ying Ma. A Study of Relevance Propagation for Web Search, SIGIR 2005.
Professional Activities
Reviewer, Journal of Computer Science and Technology; International Journal of Information Technology & Decision Making (IJITDM)
PC member, NIPS 2009 Workshop: Advances in Ranking
PC member, SIGIR 2009, SIGMAP 2009
PC member, SIGIR 2009 Workshop: Learning to Rank for Information Retrieval
PC member, EMNLP 2008
PC member, SIGIR 2008 Workshop: Learning to Rank for Information Retrieval
Reviewer, SIGIR 2007
Reviewer, Information Processing & Management
Reviewer, Pattern Recognition Letters
Reviewer, IEEE Transactions on Signal Processing
Dr. Tao Qin
(In Chinese: 秦涛)
Associate Researcher
Microsoft Research Aisa (MSRA)
4F, Beijing Sigma Center
No.49, Zhichun Road,Haidian District
Beijing 100190, P.R.China
Email: taoqin (a) microsoft.com
