Ming Li

 Brief Biography

Currently I am a Ph. D. Candidate at LAMDA led by Professor Zhi-Hua Zhou,  under the guidance of whom I started my research career. 

I was admitted to study as an undergraduate student in Department of Computer Science and Technology, Nanjing University in 1999. I received my  B.Sc. Degree in 2003, and was granted the opportunity to proceed my postgraduate study in the same department exempt from entrance examination. I joined  LAMDA in 2002. Under the guidance of Prof. Zhi-Hua Zhou, I've participated in a number of research projects focusing on machine learning and data mining. In particular, I've worked on learning from labeled and unlabeled data, multi-instance learning, ensemble learning. I've been in charge of a research project of Graduate Innovation Program of Jiangsu Province on Semi-supervised Learning. I participated in PAKDD'06 Data Mining competition with other LAMDA members, and won the Open Category Champion. For the achievements having been made, I have been granted a number of awards and honors, such as Microsoft Fellowship Award, HP Chinese Excellent Student Scholarship, etc.

Supervisor

Research Interest

Teaching Assistance

• Data Mining (081202D13)             Fall 2005      

• Digital Media Technology               Spring 2004

Selected Publications     [Full List]

• M. Li and Z.-H. Zhou. Improve computer-aided diagnosis with machine learning techniques using undiagnosed samples. IEEE Transactions on Systems, Man and Cybernetics - Part A: Systems and Humans, 2007, 37(6): 1088-1098.

• Z.-H. Zhou and M. Li. Semi-supervised regression with co-training style algorithms. IEEE Transactions on Knowledge and Data Engineering, 2007, 19(11): 1479-1493.

• Y. Yu, D.-C. Zhan, X.-Y. Liu, M. Li, and Z.-H. Zhou. Predicting future customers via ensembling gradually expanded trees. International Journal of Data Warehousing and Mining, 2007, 3(2): 12-21. Invited paper for the PAKDD'06 Data Mining Competition (Open Category) Grand Champion Team

• Z.-H. Zhou and M. Li. Tri-training: exploiting unlabeled data using three classifiers. IEEE Transactions on Knowledge and Data Engineering, 2005, 17(11): 1529-1541.

• Z.-H. Zhou, K. Jiang, and M. Li. Multi-instance based web mining. Applied Intelligence, 2005, 22(2): 135-147.

• M. Li, Z. Zhang, and Z.-H. Zhou. Mining bulletin board systems using community generation. In: Proceedings of the 12th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'08), Osaka, Japan, LNAI 5012, 2008, pp.209-221..

• Z.-H. Zhou and M. Li. Semi-supervised regression with co-training. In: Proceedings of the 19th International Joint Conference on Artificial Intelligence (IJCAI'05), Edinburgh, Scotland, 2005, pp.908-913.

• M. Li and Z.-H. Zhou. SETRED: self-training with editing. In: Proceedings of the 9th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'05), Hanoi, Vietnam, LNAI 3518, 2005, pp.611-621.

Correspondence