Dr. WONG, Tak-Lam
Instructor

BEng, MPhil, PhD (CUHK)

Address: Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong
Contact: +852 - 31634259
Email: wongtl@cse.cuhk.edu.hk

Profile:

Tak-Lam currently is an Instructor in the Department of Computer Science and Engineering of The Chinese University of Hong Kong. He was with the Department of Computer Science of City University of Hong Kong in 2006. He received B.Eng., M.Phil., Ph.D. in Systems Engineering and Engineering Management (specialized in Information Systems) from the Chinese University of Hong Kong in 2001, 2003, 2007 respectively. His research interests lie in the areas of Web mining, data mining, information extraction, machine learning, and knowledge management.

Research Interest:

Selected Publication:

Complete List of Publication

Journal papers:

  1. Tak-Lam Wong and Wai Lam, "Adapting Web Information Extraction Knowledge via Mining Site Invariant and Site Dependent Features", ACM Transactions on Internet Technology (TOIT), 7(1), Article 6, 2007.  [PDF]

  2. Tak-Lam Wong and Wai Lam, "Learning to Extract and Summarize Hot Item Features from Multiple Auction Web Sites", Knowledge and Information Systems (KAIS), 14(2), pages 143-160, 2008. [PDF]

  3. Philip M. Tsang, Paul Kwok, S.O. Choy, Reggie Kwan, S.C. Ng, Jacky Mak, Jonathan Tsang, Kai Koong, and Tak-Lam Wong "Design and Implementation of NN5 for Hong Kong Stock Price Forecasting", Engineering Applications of Artificial Intelligence (EAAI), 20(4) pages 453-461, 2007. [PDF]

  4. Tak-Lam Wong, Wai Lam, and Enhong Chen, "Automatic Domain Ontology Generation from Web Sites", Journal of Design & Process Science: Transactions of the SDPS, 9(3), pages 29-38, 2005. 

Selected Conference papers:

  1. Tak-Lam Wong, Wai Lam, and Tik-Shun Wong, "An Unsupervised Framework for Extracting and Normalizing Product Attributes from Multiple Web Sites", Proceedings of the Thirty-First Annual International ACM Conference on Research and Development on Information Retrieval (SIGIR), 2008, Accepted. (FULL PAPER / Acceptance rate: 17.1%) 

  2. Tak-Lam Wong, Wai Lam, and Tik-Shun Wong, "An Unsupervised Approach for Product Record Normalization across Different Web Sites", Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence (AAAI), 2008, Accepted. (FULL PAPER / Acceptance rate: 24.2%) 

  3. Tak-Lam Wong, Wai Lam, Shing-Kit Chan, "Collaborative Information Extraction and Mining from Multiple Web Documents", Proceedings of Sixth SIAM International Conference on Data Mining (SDM), pages 440-450, 2006. (FULL PAPER / Acceptance rate: 16.4%) [PDF]

  4. Tak-Lam Wong, Wai Lam, Shing-Kit Chan, "Extracting and Summarizing Hot Item Features across Different Auction Web Sites", Proceedings of Tenth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), LNAI 3918, pages 334-345, 2006. (FULL PAPER/ Acceptance rate: 12.9% / Best Student Paper Award) [PDF]

  5. Tak-Lam Wong and Wai Lam, "Learning to Refine Ontology for a New Web Site Using a Bayesian Approach", Proceedings of Fifth SIAM International Conference on Data Mining (SDM), pages 298-309, 2005. (FULL PAPER / Acceptance rate: 18.3%) [PDF]

  6. Tak-Lam Wong and Wai Lam, "Hot Item Mining and Summarization from Multiple Auction Web Sites", Proceedings of Forth IEEE International Conference on Data Mining (ICDM), pages 797-800, 2005. (SHORT PAPER / Acceptance rate: 22.4% including full paper) [PDF]

  7. Tak-Lam Wong and Wai Lam, "A Probabilistic Approach for Adapting Information Extraction Wrappers and Discovering New Attributes", Proceedings of Fourth IEEE International Conference on Data Mining (ICDM), pages 257-264, 2004. (FULL PAPER / Acceptance rate: 8.6%) [PDF]

  8. Tak-Lam Wong and Wai Lam, "Text Mining From Site Invariant and Dependent Features for Information Extraction Knowledge Adaptation", Proceedings of Fourth SIAM International Conference on Data Mining (SDM), pages 45-56, 2004. (FULL PAPER / Acceptance rate: 16.1%) [PDF]

  9. Wai Lam, Tak-Lam Wong and Wei Wang, "Adapting Wrappers to Unseen Web Sites Based on Hybrid Text Classification", Proceedings of Third SIAM Data Mining Conference (SDM) Text Mining Workshop, 2003. (FULL PAPER) [PDF]

  10. Tak-Lam Wong and Wai Lam, "Adapting Information Extraction Knowledge For Unseen Web Sites", Proceedings of Second IEEE International Conference on Data Mining (ICDM), pages 506-513, 2002. (FULL PAPER / Acceptance rate: 19.5%) [PDF]

Professional Activities:

Teaching:

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In CityU:

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