Welcome to Gang Chen's Homepage


Gang Chen (陈钢)

Ph. D. Candidate

State Key Laboratory of Intelligent Technology and Systems
Tsinghua National Laboratory for Information Science and Technology(TNList)
Department of Automation, Tsinghua University, Beijing 100084, China

Tel:     +86-10-62796872

Email: g-c05@mails.thu.edu.cn

 

Education

August 2005~present, Ph. D. student at Department of Automation, Tsinghua University, Advisor: Prof. Changshui Zhang

October 2001~July 2005, Bachelor of Engineering at School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics

Research Interests

Machine Learning and its applications on Data Mining, Information Retrieval and Computer Vision

Publications

Gang Chen, Jianwen Zhang, Fei Wang, Changshui Zhang, Yuli Gao. Efficient Multi-label Classification with Hypergraph Regularization. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Miami Beach, Florida, USA. 2009.

Guangyun Chen, Gang Chen, Jianwen Zhang, Shuo Chen,  Changshui Zhang. Beyond Banditron: A Conservative and Efficient Reduction for Online Multiclass Prediction with Bandit Setting Model. IEEE International Conference on Data Mining (ICDM), Miami, FL, USA. To appear. 2009.

Jianwen Zhang, Yangqiu Song, Gang Chen, Changshui Zhang. On-line Evolutionary Exponential Family Mixture. International Joint Conference on Artificial Intelligence (IJCAI). Pasadena, California, USA. 2009.

Gang Chen, Fei Wang, Changshui Zhang. Collaborative Filtering Using Orthogonal Nonnegative Matrix Tri-factorization.  (long version)  Information Processing & Management 45 (2009) 368–379.

Gang Chen, Yangqiu Song, Fei Wang, Changshui Zhang. Semi-supervised Multi-label Learning by Solving a Sylvester Equation. The 8th SIAM Conference on Data Mining (SDM) , Atlanta, USA. 2008.

Gang Chen, Fei Wang, Changshui Zhang. Collaborative Filtering Using Orthogonal Nonnegative Matrix Tri-factorization. (short version) Workshop on High Performance Data Mining, in conjunction with the 7th IEEE International Conference on Data Mining (ICDM), Omaha, USA. 2007 .