Jinfeng ZHUANG Ph.D. Candidate School of Computer Engineering Nanyang Technological University Singapore 639798 Email: zhua0016 (at) ntu (dot) edu (dot) sg

Mr. Jinfeng Zhuang is currently a Ph.D. candidate in the School of Computer Engineering of Nanyang Technological University, advised by Dr. Steven. C.H. Hoi. He also works closely with Dr. Ivor Wai-Hung Tsang. He received the bachelor degree in Computer Science from University of Science and Technology of China (USTC) in 2007.

Machine learning and Data mining:

Support vector machines and Kernel methods
Semi-supervised learning and Transductive inference
Transfer learning and Domain adaptation
Large-scale optimization

Applications:

Information extraction and Multimedia retrieval
Pattern recognition
Computer vision
Finance data mining

Jinfeng Zhuang, Ivor W. Tsang, Steven C. Hoi. SimpleNPKL: Simple Non-Parametric Kernel Learning. Proceedings of the 26th International Conference on Machine Learning (ICML 2009), Montreal, Quebec, June 2009. (PDF)
The Large-Scale SDP problem of Non-Parametric Kernel Learning with Pairwise Constraints can be solved by a very simple and scalable convex algorithm. A 5000-by-5000 non-parametric kernel matrix (25M variables) can be learned within a minute

Jinfeng Zhuang, Steven C. Hoi, Aixin Sun. On profiling blogs with representative entries. Proceedings of the Second Workshop on Analytics for Noisy Unstructured Text Data (AND 2008), Singapore, July 24, 2008. (PDF)

Jinfeng Zhuang, Steven C. Hoi, Aixin Sun, Rong Jin. Representative entry selection for profiling blogs. Proceedings of the 17th ACM Conference on Information and Knowledge Management (CIKM 2008), Napa Valley, California, USA, October 26-30, 2008. (PDF)

Some Good Researchers: Vladimir Vapnik, Corinna Cortes, Peter L. Bartlett, Michael I. Jordan, Shai Ben-David, Mehryar Mohri, Alexander J. Smola, Olivier Bousquet, Thorsten Joachims

Some Friends: Juyong Zhang, Min Wu, Mingjie Zhu, Linhong Zhu, Steven Chu-Hong Hoi, Ivor Wai-Hung Tsang

Location Due Date Notification Conference Dates NIPS 09 Vancouver Past Past 08-13 Dec 08 WWW 10 Raleigh 26 Oct 09 21 Jan 10 26 Apr 10 AISTATS 10 Sardinia 06 Nov 09 03 Feb 10 13-15 May 10 CVPR 10 San Francisco 19 Nov 09 24 Feb 10 13-18 Jun 10 SIGIR 10 Geneva 15 Jan 10 24 Mar 10 18-23 Jul 10 AAAI 10 Atlanta 15 Jan 10 26 Mar 10 11-15 Jul 10 ICML 10 Haifa 01 Feb 10 16 Apr 10 21-24 Jun 10 KDD 10 Washington 02 Feb 10 30 Apr 10 25-28 Jul 10 ACL 10 Uppsala 08 Feb 10 23 Apr 10 11-16 Jul 10 COLT 10 Haifa 19 Feb 10 07 May 10 27-29 Jun 10 UAI 10 TBA TBA TBA TBA SIGMM 10 Firenze 21 Mar 10 05 Jul 10 25-29 Oct 10

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