Prof. LAM, Wai 林 偉 教授
Professor, Division Head and Department Chairman
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 609B, William M.W. Mong Engineering Building
Tel: (852) 3943-8316 , 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
Cai, D. and Lam, W., “AMR Parsing via Graph <-> Sequence Iterative Inference”, Annual Meeting of the Association for Computational Linguistics (ACL), 2020.
Li, X., Bing, L., Lam, W. and Shi, B., “Transformation Networks for Target-Oriented Sentiment Classification”, Annual Meeting of the Association for Computational Linguistics (ACL), 2018.
Yu, Q. and Lam, W., “Review-Aware Answer Prediction for Product-Related Questions Incorporating Aspects”, Proceedings of the ACM International Conference on Web Search and Data Mining (WSDM), 2018.
Li, P., Wang, Z., Ren, Z., Bing L. and Lam, W., “Neural Rating Regression with Abstractive Tips Generation for Recommendation”, International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017.
Shi, B., Lam, W., Bing, L., Xu, Y., “Detecting Common Discussion Topics Across Culture From News Reader Comments”, Annual Meeting of the Association for Computational Linguistics (ACL), pp. 676-685, 2016.
Bing, L., Lam, W., Wong, T.L. and Jameel, s., “Web Query Reformulation via Joint Modeling of Latent Topic Dependency and Term Context”, ACM Transactions on Information Systems, 33(2): 6:1-6:38, 2015.
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., “Bayesian Network Refinement Via Machine Learning Approach”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(3):240-251,1998.