Prof. LAM, Wai 林 偉 教授
Professor
BSc, MPhil (The Chinese University of Hong Kong)
PhD (University of Waterloo)
Research Interests :
* Text Mining and Machine Learning
* Intelligent Information Retrieval
* Web Mining
* Reasoning Under Uncertainty
Office: Room 709B, William M.W. Mong Engineering Building
Tel: (852) 3943-8306
Email: wlam@se.cuhk.edu.hk
Biography
Lam Wai received a Ph.D. in Computer Science from the University of Waterloo. He obtained his BSc. and M.Phil. degrees from The Chinese University of Hong Kong. After completing his Ph.D. degree, he conducted research at Indiana University Purdue University Indianapolis (IUPUI) and the University of Iowa. He joined The Chinese University of Hong Kong, where he is currently a professor.
His research interests include intelligent information retrieval, text mining, digital library, machine learning, and knowledge-based systems. He has published articles in IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Information Systems, etc.
His research projects have been funded by the Hong Kong SAR Government General Research Fund (GRF) and DARPA (USA). He also managed industrial projects funded by Innovation and Technology Fund (industrial grant) and IT companies.
Selected Publications
Bing, L. and Guo, R. and Lam, W. and Niu, Z. and Wang, H. “Web Page Segmentation with Structured Prediction and Its Application in Web Page Classification”, Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval, pp767-776, 2014.
Chen, B. Lam, W., Tsang, I. and Wong T.L. “Discovering Low-Rank Shared Concept Space for Adapting Text Mining Models”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(6):1284-1297, 2013.
Jameel, S. and Lam, W. “An Unsupervised Topic Segmentation Model Incorporating Word Order”, Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 203-212, 2013.
Wong, T.L. and Lam, W., “Learning to Adapt Web Information Extraction Knowledge and Discovering New Attributes via a Bayesian Approach”, IEEE Transactions on Knowledge and Data Engineering, 22(4):523-536, 2010.
Jiang, S., Bing, L., Sun, B., Zhang, Y. and Lam, W., “Ontology Enhancement and Concept Granularity Learning: Keeping Yourself Current and Adaptive”, Proceedings of the International ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 1244-1252, 2011.
Chen, B., Lam W., Tsang, I. and Wong, T.L., “Extracting Discriminative Concepts for Domain Adaptation in Text Mining”, Proceedings of the International ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp.179-187, 2009.
Lam, W., Chan, S.K. and Huang R., “Named Entity Translation Matching and Learning: with Application for Mining Unseen Translations”, ACM Transactions on Information Systems, 25(1), 2007.
Lam, W., Huang, R. and Cheung, P.S., “Learning Phonetic Similarity for Matching Named Entity Translations and Mining New Translations”, Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 289-296, 2004.
Lam, W. and Han, Y.Q., “Automatic Textual Document Categorization Based on Generalized Instance Sets and a Meta-Model”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(5), 628-633, 2003.
Lam, W. and Segre, A., “A Distributed Learning Algorithm for Bayesian Inference Networks”, IEEE Transactions on Knowledge and Data Engineering, 14(1):93-105, 2002.
Lam, W., “Bayesian Network Refinement Via Machine Learning Approach”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(3):240-251,1998.
Mostafa, J., Mukhopadhyay, S., Lam, W., and Palakal, M., “A Multilevel Approach to Intelligent Information Filtering: Model, System, and Evaluation”, ACM Transactions on Information Systems, 15(4):368-399, 1997.