| 2009 |
|---|
| 96 | EE | Shing-Kit Chan,
Wai Lam:
An Efficient Method for Generating, Storing and Matching Features for Text Mining.
PAKDD 2009: 86-97 |
| 95 | EE | 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) |
| 94 | EE | Ruizhang Huang,
Wai Lam:
An active learning framework for semi-supervised document clustering with language modeling.
Data Knowl. Eng. 68(1): 49-67 (2009) |
| 2008 |
|---|
| 93 | | Tak-Lam Wong,
Tik-Shun Wong,
Wai Lam:
An Unsupervised Approach for Product Record Normalization across Different Web Sites.
AAAI 2008: 1249-1254 |
| 92 | | Xiaofeng Yu,
Wai Lam:
Hidden Dynamic Probabilistic Models for Labeling Sequence Data.
AAAI 2008: 739-745 |
| 91 | EE | Ki Chan,
Wai Lam:
Pronoun Resolution with Markov Logic Networks.
AIRS 2008: 153-164 |
| 90 | EE | Ki Chan,
Wai Lam,
Xiaofeng Yu:
Coreference resolution using expressive logic models.
CIKM 2008: 1373-1374 |
| 89 | EE | 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 |
| 88 | EE | 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) |
| 2007 |
|---|
| 87 | EE | Shing-Kit Chan,
Wai Lam:
Efficient Methods for Biomedical Named Entity Recognition.
BIBE 2007: 729-735 |
| 86 | EE | Ruizhang Huang,
Wai Lam:
Semi-supervised Document Clustering via Active Learning with Pairwise Constraints.
ICDM 2007: 517-522 |
| 85 | EE | Shing-Kit Chan,
Wai Lam,
Xiaofeng Yu:
A Cascaded Approach to Biomedical Named Entity Recognition Using a Unified Model.
ICDM 2007: 93-102 |
| 84 | EE | Ruizhang Huang,
Wai Lam,
Zhigang Zhang:
Active Learning of Constraints for Semi-supervised Text Clustering.
SDM 2007 |
| 83 | EE | 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) |
| 82 | EE | 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) |
| 81 | EE | Yiqiu Han,
Wai Lam:
Utilizing hierarchical feature domain values for prediction.
Data Knowl. Eng. 61(3): 540-553 (2007) |
| 80 | EE | Yiqiu Han,
Wai Lam,
Charles X. Ling:
Customized classification learning based on query projections.
Inf. Sci. 177(17): 3557-3573 (2007) |
| 79 | EE | Robert W. P. Luk,
Wai Lam:
Efficient in-memory extensible inverted file.
Inf. Syst. 32(5): 733-754 (2007) |
| 78 | EE | 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) |
| 2006 |
|---|
| 77 | EE | Ruizhang Huang,
Zhigang Zhang,
Wai Lam:
Text Clustering with Limited User Feedback Under Local Metric Learning.
AIRS 2006: 132-144 |
| 76 | EE | Tak-Lam Wong,
Wai Lam,
Shing-Kit Chan:
Extracting and Summarizing Hot Item Features Across Different Auction Web Sites.
PAKDD 2006: 334-345 |
| 75 | EE | Tak-Lam Wong,
Wai Lam,
Shing-Kit Chan:
Collaborative Information Extraction and Mining from Multiple Web Documents.
SDM 2006 |
| 74 | EE | Ruizhang Huang,
Zhigang Zhang,
Wai Lam:
Refining hierarchical taxonomy structure via semi-supervised learning.
SIGIR 2006: 653-654 |
| 73 | EE | Ka Kan Lo,
Wai Lam:
Using Semantic Relations with World Knowledge for Question Answering.
TREC 2006 |
| 72 | EE | 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) |
| 71 | EE | Christopher C. Yang,
Wai Lam:
Introduction to the special topic section on multilingual information systems.
JASIST 57(5): 629-631 (2006) |
| 2005 |
|---|
| 70 | EE | Ki Chan,
Wai Lam:
Gene Ontology Classification of Biomedical Literatures Using Context Association.
AIRS 2005: 552-557 |
| 69 | EE | Hon-Man Ko,
Wai Lam:
A New Approach for Semi-supervised Online News Classification.
Human.Society@Internet 2005: 238-247 |
| 68 | EE | Ki Chan,
Wai Lam:
Discovering Patterns from Ontology-Derived Texts.
ICADL 2005: 395-399 |
| 67 | EE | Tak-Lam Wong,
Wai Lam:
Hot Item Mining and Summarization from Multiple Auction Web Sites.
ICDM 2005: 797-800 |
| 66 | EE | Yiqiu Han,
Wai Lam:
Exploring Query Matrix for Support Pattern Based Classification Learning.
ICMLC 2005: 209-218 |
| 65 | EE | Tak-Lam Wong,
Wai Lam:
Training Conditional Random Fields with Unlabeled Data and Limited Number of Labeled Examples.
ICMLC 2005: 477-486 |
| 64 | | Yiqiu Han,
Wai Lam:
Lazy Learning for Classification Based on Query Projections.
SDM 2005 |
| 63 | | Tak-Lam Wong,
Wai Lam:
Learning to Refine Ontology for a New Web Site Using a Bayesian Approach.
SDM 2005 |
| 62 | EE | Ki Chan,
Wai Lam:
Extracting causation knowledge from natural language texts.
Int. J. Intell. Syst. 20(3): 327-358 (2005) |
| 61 | EE | 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) |
| 2004 |
|---|
| 60 | EE | Wei Gao,
Kam-Fai Wong,
Wai Lam:
Improving Transliteration with Precise Alignment of Phoneme Chunks and Using Contextual Features.
AIRS 2004: 106-117 |
| 59 | EE | Yiqiu Han,
Wai Lam:
Interpretable Query Projection Learning.
CIS 2004: 969-974 |
| 58 | EE | Shanfeng Zhu,
Christopher C. Yang,
Wai Lam:
CatRelate: A New Hierarchical Document Category Integration Algorithm by Learning Category Relationships.
ICADL 2004: 280-289 |
| 57 | EE | Tak-Lam Wong,
Wai Lam:
A Probabilistic Approach for Adapting Information Extraction Wrappers and Discovering New Attributes.
ICDM 2004: 257-264 |
| 56 | EE | Yiqiu Han,
Wai Lam:
Query-Driven Support Pattern Discovery for Classification Learning.
ICDM 2004: 399-402 |
| 55 | EE | Wei Gao,
Kam-Fai Wong,
Wai Lam:
Phoneme-Based Transliteration of Foreign Names for OOV Problem.
IJCNLP 2004: 110-119 |
| 54 | EE | Pik-Shan Cheung,
Ruizhang Huang,
Wai Lam:
Financial Activity Mining from Online Multilingual News.
ITCC (1) 2004: 267-271 |
| 53 | EE | Wai Lam,
Pik-Shan Cheung,
Ruizhang Huang:
Mining events and new name translations from online daily news.
JCDL 2004: 287-295 |
| 52 | EE | Yiqiu Han,
Wai Lam:
Exploiting Hierarchical Domain Values in Classification Learning.
SDM 2004 |
| 51 | EE | Yiqiu Han,
Wai Lam:
Lazy Learning by Scanning Memory Image Lattice.
SDM 2004 |
| 50 | EE | Wai Lam,
Tak-Lam Wong:
Text Mining from Site Invariant and Dependent Features for Information Extraction Knowledge Adaptation.
SDM 2004 |
| 49 | EE | Wai Lam,
Ruizhang Huang,
Pik-Shan Cheung:
Learning phonetic similarity for matching named entity translations and mining new translations.
SIGIR 2004: 289-296 |
| 2003 |
|---|
| 48 | EE | 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 |
| 47 | EE | Pik-Shan Cheung,
Ruizhang Huang,
Wai Lam:
Digesting Bilingual Web News via Mining Financial Activities and Events.
ICADL 2003: 687 |
| 46 | EE | Yiqiu Han,
Wai Lam:
Exploiting Heterogeneous Features for Classification Learning.
IDEAL 2003: 177-184 |
| 45 | EE | Tak-Lam Wong,
Wai Lam,
Wei Wang:
Beyond Supervised Learning of Wrappers for Extracting Information from Unseen Web Sites.
IDEAL 2003: 725-733 |
| 44 | | Yin-Yee Law,
Ruizhang Huang,
Wai Lam:
Discovering Bilingual Name Association and Translation From Online News of Different Sources.
IKE 2003: 109-115 |
| 43 | | Ruizhang Huang,
Wai Lam:
Supporting Story Link Detection Using Automatic Topic Type Categorization.
IKE 2003: 160-166 |
| 42 | EE | Aixin Sun,
Myo-Myo Naing,
Ee-Peng Lim,
Wai Lam:
Using Support Vector Machines for Terrorism Information Extraction.
ISI 2003: 1-12 |
| 41 | EE | Yiqiu Han,
Wai Lam:
Exploiting Hierarchical Domain Values for Bayesian Learning.
PAKDD 2003: 253-264 |
| 40 | EE | 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) |
| 39 | EE | 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) |
| 2002 |
|---|
| 38 | EE | Horacio Saggion,
Dragomir R. Radev,
Simone Teufel,
Wai Lam:
Meta-evaluation of Summaries in a Cross-lingual Environment using Content-based Metrics.
COLING 2002 |
| 37 | EE | Tak-Lam Wong,
Wai Lam:
Adapting Information Extraction Knowledge For Unseen Web Sites.
ICDM 2002: 506-513 |
| 36 | EE | Gabriel Pui Cheong Fung,
Jeffrey Xu Yu,
Wai Lam:
News Sensitive Stock Trend Prediction.
PAKDD 2002: 481-493 |
| 35 | EE | Ki Chan,
Boon Toh Low,
Wai Lam,
Kai-Pui Lam:
Extracting Causation Knowledge from Natural Language Texts.
PAKDD 2002: 555-560 |
| 34 | EE | Wai Lam,
Alberto Maria Segre:
A Distributed Learning Algorithm for Bayesian Inference Networks.
IEEE Trans. Knowl. Data Eng. 14(1): 93-105 (2002) |
| 33 | EE | 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) |
| 32 | | 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) |
| 31 | EE | 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) |
| 2001 |
|---|
| 30 | EE | Kei Shiu Ho,
Hong Va Leong,
Wai Lam:
A Collaborative Word Processing Systems using a CORBA-Based Workflow Framework.
DOA 2001: 176- |
| 29 | | Pui-Yu Hui,
Xiaoou Tang,
Helen M. Meng,
Wai Lam,
Xinbo Gao:
Automatic Story Segmentation for Spoken Document Retrieval.
FUZZ-IEEE 2001: 1319-1322 |
| 28 | EE | Kin Hui,
Wai Lam,
Helen M. Meng:
Automatic event generation from multi-lingual news stories.
JCDL 2001: 23-24 |
| 27 | EE | Kwok-Yin Lai,
Wai Lam:
Meta-learning Models for Automatic Textual Document Categorization.
PAKDD 2001: 78-89 |
| 26 | | Wai Lam,
Kwok-Yin Lai:
A Meta-Learning Approach for Text Categorization.
SIGIR 2001: 303-309 |
| 25 | | 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) |
| 24 | | Wai Lam,
Javed Mostafa:
Modeling user interest shift using a bayesian approach.
JASIST 52(5): 416-429 (2001) |
| 23 | | 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) |
| 2000 |
|---|
| 22 | EE | Wai Lam,
Wai-Yip Lin:
Learning to Extract Hierarchical Information from Semi-structured Documents.
CIKM 2000: 250-257 |
| 21 | | Chi-Kin Keung,
Wai Lam:
Prototype Generation Based on Instance Filtering and Averaging.
PAKDD 2000: 142-152 |
| 20 | | 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- (2000) |
| 19 | | Javed Mostafa,
Wai Lam:
Automatic classification using supervised learning in a medical document filtering application.
Inf. Process. Manage. 36(3): 415-444 (2000) |
| 1999 |
|---|
| 18 | EE | King-Kwok Ng,
Wai Lam:
Updating of Association Rules Dynamically.
DANTE 1999: 84- |
| 17 | EE | Wai Lam,
Kwok Leung Yu:
An Intelligent Adaptive Filtering Agent Based on an On-Line Learning Model (poster abstract).
SIGIR 1999: 287-288 |
| 16 | | 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) |
| 15 | EE | 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) |
| 14 | EE | 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) |
| 1998 |
|---|
| 13 | EE | Kwok Leung Yu,
Wai Lam:
A New On-Line Learning Algorithm for Adaptive Text Filtering.
CIKM 1998: 156-160 |
| 12 | | Wai Lam,
Kon Fan Low:
Constructing Text Filters Based on Bayesian Network Learning.
ECAI 1998: 585-589 |
| 11 | EE | Wai Lam,
Chao Yang Ho:
Using a Generalized Instance Set for Automatic Text Categorization.
SIGIR 1998: 81-89 |
| 10 | EE | Wai Lam:
Bayesian Network Refinement Via Machine Learning Approach.
IEEE Trans. Pattern Anal. Mach. Intell. 20(3): 240-251 (1998) |
| 1997 |
|---|
| 9 | | Wai Lam,
Alberto Maria Segre:
Distributed Data Mining of Probabilistic Knowledge.
ICDCS 1997: 0- |
| 8 | | Wai Lam,
Kon Fan Low,
Chao Yang Ho:
Using a Bayesian Network Induction Approach for Text Categorization.
IJCAI (1) 1997: 745-750 |
| 7 | EE | 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) |
| 1996 |
|---|
| 6 | | Wai Lam,
Snehasis Mukhopadhyay:
A Two-Level Approach to Learning in Nonstationary Environments.
Canadian Conference on AI 1996: 271-283 |
| 5 | EE | Wai Lam,
Snehasis Mukhopadhyay,
Javed Mostafa,
Mathew J. Palakal:
Detection of Shifts in User Interests for Personalized Information Filtering.
SIGIR 1996: 317-325 |
| 1994 |
|---|
| 4 | | Wai Lam:
Abstraction in Bayesian Belief Networks and Automatic Discovery from Past Inference Sessions.
AAAI 1994: 257-262 |
| 3 | EE | Wai Lam,
Fahiem Bacchus:
Using New Data to Refine a Bayesian Network.
UAI 1994: 383-390 |
| 2 | | Wai Lam,
Fahiem Bacchus:
Learning Bayesian Belief Networks: An Approach Based on the MDL Principle.
Computational Intelligence 10: 269-294 (1994) |
| 1993 |
|---|
| 1 | EE | Wai Lam,
Fahiem Bacchus:
Using Causal Information and Local Measures to Learn Bayesian Networks.
UAI 1993: 243-250 |
