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Home > People > Bin Gao
Bin Gao
Dr. Bin Gao joined Web Search and Mining Group (WSM), Microsoft Research Asia (MSRA) as an associate researcher in July 2006. His research interests include information retrieval, Web graph mining, link analysis, and search log mining. So far, Dr. Gao has over 10 quality papers published in referred international conferences and journals, including SIGIR, KDD, IEEE TKDE, ACM Multimedia, etc. He has over 10 filed US / international patents. Prior to joining Microsoft, he got his PhD degree from School of Mathematical Sciences, Peking University in 2006, where his research efforts were on pattern recognition and machine learning. When he was a PhD candidate, he also has the experience of working as an intern in WSM Group, MSRA for two and a half years. Before studying in Peking University, he got his BS degree from School of Mathematical and System Sciences, Shandong University in 2001.

Publications

  • Yuting Liu, Tie-Yan Liu, Bin Gao, Zhiming Ma, and Hang Li, A Framework to Compute Page Importance based on User Behaviors, Information Retrieval, 2009.
  • Congkai Sun, Bin Gao, Zhenfu Cao, and Hang Li, HTM: A Topic Model for Hypertexts, EMNLP 2008 (short paper).
  • [SIGIR Best Student Paper Award] Yuting Liu, Bin Gao, Tie-Yan Liu, Ying Zhang, Zhiming Ma, Shuyuan He, and Hang Li, BrowseRank: Letting Users Vote for Page Importance, in the Proceedings of the 31st Annual International ACM SIGIR Conference (SIGIR 2008), pp. 451-458, 2008.
  • Lei Yang, Lei Qi, Yan-Ping Zhao, Bin Gao, and Tie-Yan Liu, Link Analysis using Time Series of Web Graphs, in the Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management (CIKM 2007), pp. 1011-1014, 2007 (short paper).
  • Bin Gao, Tie-Yan Liu, and Wei-Ying Ma, Star-Structured High-Order Heterogeneous Data Co-clustering based on Consistent Information Theory, in the Proceedings of the Sixth International Conference on Data Mining (ICDM 2006), pp. 880-884, 2006 (short paper).
  • Guoyang Shen, Bin Gao, Tie-Yan Liu, Shiji Song, and Hang Li, Detecting Link Spam from Temporal Statistics of Websites, in the Proceedings of the Sixth International Conference on Data Mining (ICDM 2006), pp. 1049-1053, 2006 (short paper).
  • Bo Chen, Bin Gao, Tie-Yan Liu, Yu-Fu Chen, and Wei-Ying Ma, Fast Spectral Clustering of Data with Sequential Matrix Compression, in the Proceedings of ECML 2006, pp. 590-597, 2006 (short paper).
  • Bin Gao, Tie-Yan Liu, Qian-Sheng Cheng, Guang Feng, Tao Qin, and Wei-Ying Ma, Hierarchical Taxonomy Preparation for Text Categorization Using Consistent Bipartite Spectral Graph Copartitioning, IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 17, no. 9, pp. 1263-1273, September 2005.
  • Bin Gao, Tie-Yan Liu, Xin Zheng, Qian-Sheng Cheng, and Wei-Ying Ma, Consistent Bipartite Graph Co-Partitioning for Star-Structured High-Order Heterogeneous Data Co-Clustering, in Proceedings of the 11th International Conference on Knowledge Discovery and Data Mining (KDD), pp. 41-50, 2005.
  • Bin Gao, Tie-Yan Liu, Tao Qin, Xin Zheng, Qian-Sheng Cheng, and Wei-Ying Ma, Web Image Clustering by Consistent Utilization of Visual Features and Surrounding Texts, in Proceedings of the 13th Annual ACM International Conference on Multimedia (ACM MM), pp. 112-121, 2005.
  • Bin Gao, Tie-Yan Liu, Qian-Sheng Cheng, and Wei-Ying Ma, A Linear Approximation Based Method for Noise-Robust and Illumination-Invariant Image Change Detection, Lecture Notes in Computer Science - Advances in Multimedia Information Processing (PCM 2004): 5th Pacific Rim Conference on Multimedia, Tokyo, Japan, November 30 - December 3, 2004. Proceedings, Part III, pp. 95-102.
  • Tie-Yan Liu, Yiming Yang, Hao Wan, Qian Zhou, Bin Gao, Hua-Jun Zeng, Zheng Chen, and Wei-Ying Ma, An Experimental Study on Large-Scale Web Categorization, in Proceedings of the 14th international conference on World Wide Web (WWW 2005), pp. 1106-1107, 2005 (short paper).
  • Guang Feng, Tie-Yan Liu, Xu-Dong Zhang, Tao Qin, Bin Gao, and Wei-Ying Ma, Level-Based Link Analysis, Web Technologies Research and Development, Lecture Notes in Computer Science (APWeb 2005): 7th Asia-Pacific Web Conference, Shanghai, China, March 29 - April 1, 2005. Proceedings, pp. 183-194.
  • Jinwen Ma, Bin Gao, Yang Wang, and Qiansheng Cheng, Two Further Gradient BYY Learning Rules for Gaussian Mixture with Automated Model Selection, Lecture Notes in Computer Science - Intelligent Data Engineering and Automated Learning (IDEAL 2004): 5th International Conference, Exeter, UK. August 25-27, 2004. Proceedings, pp. 690-695.
  • Jinwen Ma, Bin Gao, Yang Wang, and Qiansheng Cheng, Conjugate and Natural Gradient Rules for BYY Harmony Learning on Gaussian Mixture with Automated Model Selection, International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), vol. 19, no. 5, pp. 701-713, 2005.

Professional Activities

  • Program Committee, SIGIR 2009
  • Program Committee, KDD 2008 Workshop on Data Mining for Business Applications
  • Program Committee, ICDM 2009 Workshop on Optimization Based Methods for Emerging Data Mining Problems
  • Reviewer, IEEE Transactions on Knowledge and Data Engineering
  • Reviewer, IEEE Transactions on Multimedia
  • Reviewer, Pattern Recognition Letters
  • Reviewer, Information Retrieval
  • Reviewer, IJCNLP 2008 (International Joint Conference on Natural Language Processing)
  • Reviewer, DEXA 2008, 2009 (International Conference on Database and Expert Systems Applications)
  • Reviewer, AIRS 2009 (Asia Information Retrieval Symposium)

Dr. Bin Gao (高斌)
Associate Researcher

Web Search & Mining Group (WSM)
Microsoft Research Aisa (MSRA)
4F, Beijing Sigma Center
No.49, Zhichun Road, Haidian District
Beijing 100190, P.R.China
Tel.: +86-10-5896 3461
Fax: +86-10-8809 9681

Previous Interns

  • Lei Wu (Microsoft AdCenter China)
  • Lei Qi (Princeton University)
  • Lei Yang
  • Ying Zhang (Nankai University)
  • Congkai Sun (Shanghai Jiaotong University)
  • Kang Ji (Peking University)
Last update: 30-July-2008