Wai Lam

Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong: Discovering Low-Rank Shared Concept Space for Adapting Text Mining Models. IEEE Trans. Pattern Anal. Mach. Intell. 35(6): 1284-1297 (2013)

Shoaib Jameel, Wai Lam: An N-Gram Topic Model for Time-Stamped Documents. ECIR 2013: 292-304

Lidong Bing, Wai Lam, Tak-Lam Wong: Wikipedia entity expansion and attribute extraction from the web using semi-supervised learning. WSDM 2013: 567-576

Wai Lam, Fahiem Bacchus: Using New Data to Refine a Bayesian Network. CoRR abs/1302.6826 (2013)

Wai Lam, Fahiem Bacchus: Using Causal Information and Local Measures to Learn Bayesian Networks. CoRR abs/1303.1483 (2013)

Xiaofeng Yu, Wai Lam: Probabilistic joint models incorporating logic and learning via structured variational approximation for information extraction. Knowl. Inf. Syst. 32(2): 415-444 (2012)

Shoaib Jameel, Xiaojun Qian, Wai Lam: N-gram Fragment Sequence Based Unsupervised Domain-Specific Document Readability. COLING 2012: 1309-1326

Shoaib Jameel, Wai Lam, Xiaojun Qian, Ching-man Au Yeung: An unsupervised technical difficulty ranking model based on conceptual terrain in the latent space. JCDL 2012: 351-352

Lidong Bing, Wai Lam, Tak-Lam Wong: Using query log and social tagging to refine queries based on latent topics. CIKM 2011: 583-592

Lidong Bing, Wai Lam, Yuan Gu: Towards a unified solution: data record region detection and segmentation. CIKM 2011: 1265-1274

Shoaib Jameel, Wai Lam, Ching-man Au Yeung, Sheaujiun Chyan: An unsupervised ranking method based on a technical difficulty terrain. CIKM 2011: 1989-1992

Shan Jiang, Lidong Bing, Bai Sun, Yan Zhang, Wai Lam: Ontology enhancement and concept granularity learning: keeping yourself current and adaptive. KDD 2011: 1244-1252

Tak-Lam Wong, Lidong Bing, Wai Lam: Normalizing web product attributes and discovering domain ontology with minimal effort. WSDM 2011: 805-814

Tak-Lam Wong, Wai Lam: Learning to Adapt Web Information Extraction Knowledge and Discovering New Attributes via a Bayesian Approach. IEEE Trans. Knowl. Data Eng. 22(4): 523-536 (2010)

Xiaofeng Yu, Wai Lam: Bidirectional Integration of Pipeline Models. AAAI 2010

Lidong Bing, Bai Sun, Shan Jiang, Yan Zhang, Wai Lam: Learning ontology resolution for document representation and its applications in text mining. CIKM 2010: 1713-1716

Xiaofeng Yu, Wai Lam: Jointly Identifying Entities and Extracting Relations in Encyclopedia Text via A Graphical Model Approach. COLING (Posters) 2010: 1399-1407

Xiaofeng Yu, Wai Lam: Accelerated Training of Maximum Margin Markov Models for Sequence Labeling: A Case Study of NP Chunking. COLING (Posters) 2010: 1408-1416

Shing-Kit Chan, Wai Lam: Pseudo Conditional Random Fields: Joint Training Approach to Segmenting and Labeling Sequence Data. ICDM 2010: 767-772

Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong: Location and Scatter Matching for Dataset Shift in Text Mining. ICDM 2010: 773-778

Ki Chan, Tak-Lam Wong, Wai Lam: Adapting relational logic models using unlabeled data. ICMLC 2010: 167-172

Ki Chan, Wai Lam, Tak-Lam Wong: Discovery of logic relations for text mining adaptation using unlabeled data. RIAO 2010: 128-129

Pu-Jen Cheng, Min-Yen Kan, Wai Lam, Preslav Nakov (Eds.): Information Retrieval Technology - 6th Asia Information Retrieval Societies Conference, AIRS 2010, Taipei, Taiwan, December 1-3, 2010. Proceedings. Lecture Notes in Computer Science 6458, Springer 2010, isbn 978-3-642-17186-4

Ruizhang Huang, Wai Lam: An active learning framework for semi-supervised document clustering with language modeling. Data Knowl. Eng. 68(1): 49-67 (2009)

Tak-Lam Wong, Wai Lam: An unsupervised method for joint information extraction and feature mining across different Web sites. Data Knowl. Eng. 68(1): 107-125 (2009)

Xiaofeng Yu, Wai Lam, Bo Chen: An integrated discriminative probabilistic approach to information extraction. CIKM 2009: 325-334

Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong: Extracting discriminative concepts for domain adaptation in text mining. KDD 2009: 179-188

Shing-Kit Chan, Wai Lam: An Efficient Method for Generating, Storing and Matching Features for Text Mining. PAKDD 2009: 86-97

Tak-Lam Wong, Kai-On Chow, Wai Lam: Cross Language Information Extraction Knowledge Adaptation. RSKT 2009: 520-528

Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong: A Semi-Supervised Framework for Feature Mapping and Multiclass Classification. SDM 2009: 341-352

Tak-Lam Wong, Wai Lam, Bo Chen: Mining employment market via text block detection and adaptive cross-domain information extraction. SIGIR 2009: 283-290

Tak-Lam Wong, Wai Lam: Learning to extract and summarize hot item features from multiple auction web sites. Knowl. Inf. Syst. 14(2): 143-160 (2008)

Xiaofeng Yu, Wai Lam: Hidden Dynamic Probabilistic Models for Labeling Sequence Data. AAAI 2008: 739-745

Tak-Lam Wong, Tik-Shun Wong, Wai Lam: An Unsupervised Approach for Product Record Normalization across Different Web Sites. AAAI 2008: 1249-1254

Ki Chan, Wai Lam: Pronoun Resolution with Markov Logic Networks. AIRS 2008: 153-164

Ki Chan, Wai Lam, Xiaofeng Yu: Coreference resolution using expressive logic models. CIKM 2008: 1373-1374

Xiaofeng Yu, Wai Lam: An Integrated Probabilistic and Logic Approach to Encyclopedia Relation Extraction with Multiple Features. COLING 2008: 1065-1072

Xiaofeng Yu, Wai Lam, Shing-Kit Chan, Yiu Kei Wu, Bo Chen: Chinese NER Using CRFs and Logic for the Fourth SIGHAN Bakeoff. IJCNLP 2008: 102-105

Xiaofeng Yu, Wai Lam, Shing-Kit Chan: A Framework Based on Graphical Models with Logic for Chinese Named Entity Recognition. IJCNLP 2008: 335-342

Shing-Kit Chan, Wai Lam, Xiaofeng Yu: An Online Cascaded Approach to Biomedical Named Entity Recognition. IJCNLP 2008: 595-600

Tak-Lam Wong, Wai Lam, Tik-Shun Wong: An unsupervised framework for extracting and normalizing product attributes from multiple web sites. SIGIR 2008: 35-42

Yiqiu Han, Wai Lam: Utilizing hierarchical feature domain values for prediction. Data Knowl. Eng. 61(3): 540-553 (2007)

Robert W. P. Luk, Wai Lam: Efficient in-memory extensible inverted file. Inf. Syst. 32(5): 733-754 (2007)

Yiqiu Han, Wai Lam, Charles X. Ling: Customized classification learning based on query projections. Inf. Sci. 177(17): 3557-3573 (2007)

Wai Lam, Christopher C. Yang, Filippo Menczer: Introduction to the special topic section on mining Web resources for enhancing information retrieval. JASIST 58(12): 1791-1792 (2007)

Wai Lam, Shing-Kit Chan, Ruizhang Huang: Named entity translation matching and learning: With application for mining unseen translations. ACM Trans. Inf. Syst. 25(1) (2007)

Tak-Lam Wong, Wai Lam: Adapting Web information extraction knowledge via mining site-invariant and site-dependent features. ACM Trans. Internet Techn. 7(1) (2007)

Ka Kan Lo, Wai Lam: Building Knowledge Base for Reading from Encyclopedia. AAAI Spring Symposium: Machine Reading 2007: 73-78

Shing-Kit Chan, Wai Lam: Efficient Methods for Biomedical Named Entity Recognition. BIBE 2007: 729-735

Shing-Kit Chan, Wai Lam, Xiaofeng Yu: A Cascaded Approach to Biomedical Named Entity Recognition Using a Unified Model. ICDM 2007: 93-102

Ruizhang Huang, Wai Lam: Semi-supervised Document Clustering via Active Learning with Pairwise Constraints. ICDM 2007: 517-522

Ruizhang Huang, Wai Lam, Zhigang Zhang: Active Learning of Constraints for Semi-supervised Text Clustering. SDM 2007

Kei Shiu Ho, Hong Va Leong, Wai Lam, Robert Wing Pong Luk: Integrating XML and CORBA to support collaborative writing using off-the-shelf editing software. Inf. Syst. 31(6): 465-488 (2006)

Christopher C. Yang, Wai Lam: Introduction to the special topic section on multilingual information systems. JASIST 57(5): 629-631 (2006)

Ruizhang Huang, Zhigang Zhang, Wai Lam: Text Clustering with Limited User Feedback Under Local Metric Learning. AIRS 2006: 132-144

Tak-Lam Wong, Wai Lam, Shing-Kit Chan: Extracting and Summarizing Hot Item Features Across Different Auction Web Sites. PAKDD 2006: 334-345

Tak-Lam Wong, Wai Lam, Shing-Kit Chan: Collaborative Information Extraction and Mining from Multiple Web Documents. SDM 2006

Ruizhang Huang, Zhigang Zhang, Wai Lam: Refining hierarchical taxonomy structure via semi-supervised learning. SIGIR 2006: 653-654

Ka Kan Lo, Wai Lam: Using Semantic Relations with World Knowledge for Question Answering. TREC 2006

Ki Chan, Wai Lam: Extracting causation knowledge from natural language texts. Int. J. Intell. Syst. 20(3): 327-358 (2005)

Wai Lam, Ki Chan, Dragomir R. Radev, Horacio Saggion, Simone Teufel: Context-based generic cross-lingual retrieval of documents and automated summaries. JASIST 56(2): 129-139 (2005)

Ki Chan, Wai Lam: Gene Ontology Classification of Biomedical Literatures Using Context Association. AIRS 2005: 552-557

Hon-Man Ko, Wai Lam: A New Approach for Semi-supervised Online News Classification. Human.Society@Internet 2005: 238-247

Ki Chan, Wai Lam: Discovering Patterns from Ontology-Derived Texts. ICADL 2005: 395-399

Tak-Lam Wong, Wai Lam: Hot Item Mining and Summarization from Multiple Auction Web Sites. ICDM 2005: 797-800

Yiqiu Han, Wai Lam: Exploring Query Matrix for Support Pattern Based Classification Learning. ICMLC 2005: 209-218

Tak-Lam Wong, Wai Lam: Training Conditional Random Fields with Unlabeled Data and Limited Number of Labeled Examples. ICMLC 2005: 477-486

Yiqiu Han, Wai Lam: Lazy Learning for Classification Based on Query Projections. SDM 2005

Tak-Lam Wong, Wai Lam: Learning to Refine Ontology for a New Web Site Using a Bayesian Approach. SDM 2005

Wai Lam, Yiqiu Han, Ki Chan: Pattern Based Customized Learning for TREC Genomics Track Categorization Task. TREC 2005

Wei Gao, Kam-Fai Wong, Wai Lam: Improving Transliteration with Precise Alignment of Phoneme Chunks and Using Contextual Features. AIRS 2004: 106-117

Yiqiu Han, Wai Lam: Interpretable Query Projection Learning. CIS 2004: 969-974

Shanfeng Zhu, Christopher C. Yang, Wai Lam: CatRelate: A New Hierarchical Document Category Integration Algorithm by Learning Category Relationships. ICADL 2004: 280-289

Tak-Lam Wong, Wai Lam: A Probabilistic Approach for Adapting Information Extraction Wrappers and Discovering New Attributes. ICDM 2004: 257-264

Yiqiu Han, Wai Lam: Query-Driven Support Pattern Discovery for Classification Learning. ICDM 2004: 399-402

Wei Gao, Kam-Fai Wong, Wai Lam: Phoneme-Based Transliteration of Foreign Names for OOV Problem. IJCNLP 2004: 110-119

Pik-Shan Cheung, Ruizhang Huang, Wai Lam: Financial Activity Mining from Online Multilingual News. ITCC (1) 2004: 267-271

Wai Lam, Pik-Shan Cheung, Ruizhang Huang: Mining events and new name translations from online daily news. JCDL 2004: 287-295

Dragomir R. Radev, Timothy Allison, Sasha Blair-Goldensohn, John Blitzer, Arda Çelebi, Stanko Dimitrov, Elliott Drábek, Ali Hakim, Wai Lam, Danyu Liu, Jahna Otterbacher, Hong Qi, Horacio Saggion, Simone Teufel, Michael Topper, Adam Winkel, Zhu Zhang: MEAD - A Platform for Multidocument Multilingual Text Summarization. LREC 2004

Yiqiu Han, Wai Lam: Lazy Learning by Scanning Memory Image Lattice. SDM 2004

Yiqiu Han, Wai Lam: Exploiting Hierarchical Domain Values in Classification Learning. SDM 2004

Wai Lam, Tak-Lam Wong: Text Mining from Site Invariant and Dependent Features for Information Extraction Knowledge Adaptation. SDM 2004

Wai Lam, Ruizhang Huang, Pik-Shan Cheung: Learning phonetic similarity for matching named entity translations and mining new translations. SIGIR 2004: 289-296

Wai Lam, Kwok Leung Yu: High-Dimensional Learning Framework for Adaptive Document Filtering. Computational Intelligence 19(1): 42-63 (2003)

Wai Lam, Wei Wang, Che-Wang Yue: Web Discovery and Filtering Based on Textual Relevance Feedback Learning. Computational Intelligence 19(2): 136-163 (2003)

Hong Meng Ho, Wai Lam, Serguei Stoukatch, Petar Ratchev, Charles J. Vath, Eric Beyne: Direct gold and copper wires bonding on copper. Microelectronics Reliability 43(6): 913-923 (2003)

Wai Lam, Yiqiu Han: Automatic Textual Document Categorization Based on Generalized Instance Sets and a Metamodel. IEEE Trans. Pattern Anal. Mach. Intell. 25(5): 628-633 (2003)

Dragomir R. Radev, Simone Teufel, Horacio Saggion, Wai Lam, John Blitzer, Hong Qi, Arda Çelebi, Danyu Liu, Elliott Drábek: Evaluation Challenges in Large-Scale Document Summarization. ACL 2003: 375-382

Pik-Shan Cheung, Ruizhang Huang, Wai Lam: Digesting Bilingual Web News via Mining Financial Activities and Events. ICADL 2003: 687

Yiqiu Han, Wai Lam: Exploiting Heterogeneous Features for Classification Learning. IDEAL 2003: 177-184

Tak-Lam Wong, Wai Lam, Wei Wang: Beyond Supervised Learning of Wrappers for Extracting Information from Unseen Web Sites. IDEAL 2003: 725-733

Yin-Yee Law, Ruizhang Huang, Wai Lam: Discovering Bilingual Name Association and Translation From Online News of Different Sources. IKE 2003: 109-115

Ruizhang Huang, Wai Lam: Supporting Story Link Detection Using Automatic Topic Type Categorization. IKE 2003: 160-166

Aixin Sun, Myo-Myo Naing, Ee-Peng Lim, Wai Lam: Using Support Vector Machines for Terrorism Information Extraction. ISI 2003: 1-12

Yiqiu Han, Wai Lam: Exploiting Hierarchical Domain Values for Bayesian Learning. PAKDD 2003: 253-264

Wai Lam, Chi-Kin Keung, Danyu Liu: Discovering Useful Concept Prototypes for Classification Based on Filtering and Abstraction. IEEE Trans. Pattern Anal. Mach. Intell. 24(8): 1075-1090 (2002)

Wai Lam, Chi-Kin Keung, Charles X. Ling: Learning good prototypes for classification using filtering and abstraction of instances. Pattern Recognition 35(7): 1491-1506 (2002)

Wai Lam, Alberto Maria Segre: A Distributed Learning Algorithm for Bayesian Inference Networks. IEEE Trans. Knowl. Data Eng. 14(1): 93-105 (2002)

Kwong-Sak Leung, Man Leung Wong, Wai Lam, Zhenyuan Wang, Kebin Xu: Learning nonlinear multiregression networks based on evolutionary computation. IEEE Transactions on Systems, Man, and Cybernetics, Part B 32(5): 630-644 (2002)

Horacio Saggion, Dragomir R. Radev, Simone Teufel, Wai Lam: Meta-evaluation of Summaries in a Cross-lingual Environment using Content-based Metrics. COLING 2002

Tak-Lam Wong, Wai Lam: Adapting Information Extraction Knowledge For Unseen Web Sites. ICDM 2002: 506-513

Horacio Saggion, Dragomir R. Radev, Simone Teufel, Wai Lam, Stephanie Strassel: Developing Infrastructure for the Evaluation of Single and Multi-document Summarization Systems in a Cross-lingual Environment. LREC 2002

Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Wai Lam: News Sensitive Stock Trend Prediction. PAKDD 2002: 481-493

Ki Chan, Boon Toh Low, Wai Lam, Kai-Pui Lam: Extracting Causation Knowledge from Natural Language Texts. PAKDD 2002: 555-560

Wai Lam, Javed Mostafa: Modeling user interest shift using a bayesian approach. JASIST 52(5): 416-429 (2001)

Wai Lam, Kam-Fai Wong, Chi-Yin Wong: Chinese document indexing based on a new partitioned signature file: Model and evaluation. JASIST 52(7): 584-597 (2001)

Wai Lam, Kei Shiu Ho: FIDS: an intelligent financial Web news articles digest system. IEEE Transactions on Systems, Man, and Cybernetics, Part A 31(6): 753-762 (2001)

Kei Shiu Ho, Hong Va Leong, Wai Lam: A Collaborative Word Processing Systems using a CORBA-Based Workflow Framework. DOA 2001: 176-

Pui-Yu Hui, Xiaoou Tang, Helen M. Meng, Wai Lam, Xinbo Gao: Automatic Story Segmentation for Spoken Document Retrieval. FUZZ-IEEE 2001: 1319-1322

Kin Hui, Wai Lam, Helen M. Meng: Automatic event generation from multi-lingual news stories. JCDL 2001: 23-24

Kwok-Yin Lai, Wai Lam: Meta-learning Models for Automatic Textual Document Categorization. PAKDD 2001: 78-89

Wai Lam, Kwok-Yin Lai: A Meta-Learning Approach for Text Categorization. SIGIR 2001: 303-309

Javed Mostafa, Wai Lam: Automatic classification using supervised learning in a medical document filtering application. Inf. Process. Manage. 36(3): 415-444 (2000)

Wai Lam, Kon Fan Low: Using discretization and Bayesian inference network learning for automatic filtering profile generation. IEEE Transactions on Systems, Man, and Cybernetics, Part C 30(3): 340-351 (2000)

Wai Lam, Wai-Yip Lin: Learning to Extract Hierarchical Information from Semi-structured Documents. CIKM 2000: 250-257

Chi-Kin Keung, Wai Lam: Prototype Generation Based on Instance Filtering and Averaging. PAKDD 2000: 142-152

Po Shun Ngan, Man Leung Wong, Wai Lam, Kwong-Sak Leung, Jack C. Y. Cheng: Medical data mining using evolutionary computation. Artificial Intelligence in Medicine 16(1): 73-96 (1999)

Man Leung Wong, Wai Lam, Kwong-Sak Leung: Using Evolutionary Programming and Minimum Description Length Principle for Data Mining of Bayesian Networks. IEEE Trans. Pattern Anal. Mach. Intell. 21(2): 174-178 (1999)

Wai Lam, Miguel E. Ruiz, Padmini Srinivasan: Automatic Text Categorization and Its Application to Text Retrieval. IEEE Trans. Knowl. Data Eng. 11(6): 865-879 (1999)

King-Kwok Ng, Wai Lam: Updating of Association Rules Dynamically. DANTE 1999: 84-

Helen M. Meng, Wai Lam, Carmen Wai: To believe is to understand. EUROSPEECH 1999

Wai Lam, Kwok Leung Yu: An Intelligent Adaptive Filtering Agent Based on an On-Line Learning Model (poster abstract). SIGIR 1999: 287-288

Wai Lam: Bayesian Network Refinement Via Machine Learning Approach. IEEE Trans. Pattern Anal. Mach. Intell. 20(3): 240-251 (1998)

Kwok Leung Yu, Wai Lam: A New On-Line Learning Algorithm for Adaptive Text Filtering. CIKM 1998: 156-160

Wai Lam, Kon Fan Low: Constructing Text Filters Based on Bayesian Network Learning. ECAI 1998: 585-589

Wai Lam, Chao Yang Ho: Using a Generalized Instance Set for Automatic Text Categorization. SIGIR 1998: 81-89

Javed Mostafa, Snehasis Mukhopadhyay, Wai Lam, Mathew J. Palakal: A Multilevel Approach to Intelligent Information Filtering: Model, System, and Evaluation. ACM Trans. Inf. Syst. 15(4): 368-399 (1997)

Wai Lam, Alberto Maria Segre: Distributed Data Mining of Probabilistic Knowledge. ICDCS 1997: 0-

Wai Lam, Kon Fan Low, Chao Yang Ho: Using a Bayesian Network Induction Approach for Text Categorization. IJCAI (1) 1997: 745-750

Wai Lam, Snehasis Mukhopadhyay: A Two-Level Approach to Learning in Nonstationary Environments. Canadian Conference on AI 1996: 271-283

Wai Lam, Snehasis Mukhopadhyay, Javed Mostafa, Mathew J. Palakal: Detection of Shifts in User Interests for Personalized Information Filtering. SIGIR 1996: 317-325

Wai Lam, Fahiem Bacchus: Learning Bayesian Belief Networks: An Approach Based on the MDL Principle. Computational Intelligence 10: 269-294 (1994)

Wai Lam: Abstraction in Bayesian Belief Networks and Automatic Discovery from Past Inference Sessions. AAAI 1994: 257-262

Wai Lam, Fahiem Bacchus: Using New Data to Refine a Bayesian Network. UAI 1994: 383-390

Wai Lam, Fahiem Bacchus: Using Causal Information and Local Measures to Learn Bayesian Networks. UAI 1993: 243-250