Ming Li

 Brief Biography

Currently I am an Assistant Professor at LAMDA led by Professor Zhi-Hua Zhou, my Ph. D. supervisor. 

I received my B. Sc. and Ph. D. degrees in computer science from Department of Computer Science and Technology, Nanjing University, China, in 2003 and 2008, respectively. I joined Department of Computer Science and Technology of Nanjing University in 2008 as an assistant professor.

My current research interests include machine learning, data mining, information retrieval. 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. Currently, I serve as the formal reviewer of IEEE Transactions on Systems, Man and Cybernetics - Part C: Applications and Reviews, Knowledge and Information System, etc., and served as external reviewer of KDD'07, ICDM'07, NAACL-HLT'07, etc. 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.

Research Interest

My current research interests mainly include Machine Learning, Data Mining, Information Retrieval, especially on Learning with Labeled and Unlabeled Data.

Teaching Assistance

• Data Mining (081202D13)             Fall 2005      

• Digital Media Technology               Spring 2004

Selected Publications     [Full List]

• M. Li, H. Li, and Z.-H. Zhou. Semi-supervised document retrieval. Information Processing & Management, in press.

• 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.

• A. B. Goldburg, M. Li, and X. Zhu. On manifold regularization: A new learning setting and empirical study. In: Procceedings of the 19th European Conference on Machine Learning (ECML'08), LNAI 5211, Antwerp, Belgium, 2008, pp. 393-407.

• 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