Wai Lam

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96EEShing-Kit Chan, Wai Lam: An Efficient Method for Generating, Storing and Matching Features for Text Mining. PAKDD 2009: 86-97
95EETak-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)
94EERuizhang Huang, Wai Lam: An active learning framework for semi-supervised document clustering with language modeling. Data Knowl. Eng. 68(1): 49-67 (2009)
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
91EEKi Chan, Wai Lam: Pronoun Resolution with Markov Logic Networks. AIRS 2008: 153-164
90EEKi Chan, Wai Lam, Xiaofeng Yu: Coreference resolution using expressive logic models. CIKM 2008: 1373-1374
89EETak-Lam Wong, Wai Lam, Tik-Shun Wong: An unsupervised framework for extracting and normalizing product attributes from multiple web sites. SIGIR 2008: 35-42
88EETak-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)
87EEShing-Kit Chan, Wai Lam: Efficient Methods for Biomedical Named Entity Recognition. BIBE 2007: 729-735
86EERuizhang Huang, Wai Lam: Semi-supervised Document Clustering via Active Learning with Pairwise Constraints. ICDM 2007: 517-522
85EEShing-Kit Chan, Wai Lam, Xiaofeng Yu: A Cascaded Approach to Biomedical Named Entity Recognition Using a Unified Model. ICDM 2007: 93-102
84EERuizhang Huang, Wai Lam, Zhigang Zhang: Active Learning of Constraints for Semi-supervised Text Clustering. SDM 2007
83EEWai 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)
82EETak-Lam Wong, Wai Lam: Adapting Web information extraction knowledge via mining site-invariant and site-dependent features. ACM Trans. Internet Techn. 7(1): (2007)
81EEYiqiu Han, Wai Lam: Utilizing hierarchical feature domain values for prediction. Data Knowl. Eng. 61(3): 540-553 (2007)
80EEYiqiu Han, Wai Lam, Charles X. Ling: Customized classification learning based on query projections. Inf. Sci. 177(17): 3557-3573 (2007)
79EERobert W. P. Luk, Wai Lam: Efficient in-memory extensible inverted file. Inf. Syst. 32(5): 733-754 (2007)
78EEWai 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)
77EERuizhang Huang, Zhigang Zhang, Wai Lam: Text Clustering with Limited User Feedback Under Local Metric Learning. AIRS 2006: 132-144
76EETak-Lam Wong, Wai Lam, Shing-Kit Chan: Extracting and Summarizing Hot Item Features Across Different Auction Web Sites. PAKDD 2006: 334-345
75EETak-Lam Wong, Wai Lam, Shing-Kit Chan: Collaborative Information Extraction and Mining from Multiple Web Documents. SDM 2006
74EERuizhang Huang, Zhigang Zhang, Wai Lam: Refining hierarchical taxonomy structure via semi-supervised learning. SIGIR 2006: 653-654
73EEKa Kan Lo, Wai Lam: Using Semantic Relations with World Knowledge for Question Answering. TREC 2006
72EEKei 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)
71EEChristopher C. Yang, Wai Lam: Introduction to the special topic section on multilingual information systems. JASIST 57(5): 629-631 (2006)
70EEKi Chan, Wai Lam: Gene Ontology Classification of Biomedical Literatures Using Context Association. AIRS 2005: 552-557
69EEHon-Man Ko, Wai Lam: A New Approach for Semi-supervised Online News Classification. Human.Society@Internet 2005: 238-247
68EEKi Chan, Wai Lam: Discovering Patterns from Ontology-Derived Texts. ICADL 2005: 395-399
67EETak-Lam Wong, Wai Lam: Hot Item Mining and Summarization from Multiple Auction Web Sites. ICDM 2005: 797-800
66EEYiqiu Han, Wai Lam: Exploring Query Matrix for Support Pattern Based Classification Learning. ICMLC 2005: 209-218
65EETak-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
62EEKi Chan, Wai Lam: Extracting causation knowledge from natural language texts. Int. J. Intell. Syst. 20(3): 327-358 (2005)
61EEWai 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)
60EEWei Gao, Kam-Fai Wong, Wai Lam: Improving Transliteration with Precise Alignment of Phoneme Chunks and Using Contextual Features. AIRS 2004: 106-117
59EEYiqiu Han, Wai Lam: Interpretable Query Projection Learning. CIS 2004: 969-974
58EEShanfeng Zhu, Christopher C. Yang, Wai Lam: CatRelate: A New Hierarchical Document Category Integration Algorithm by Learning Category Relationships. ICADL 2004: 280-289
57EETak-Lam Wong, Wai Lam: A Probabilistic Approach for Adapting Information Extraction Wrappers and Discovering New Attributes. ICDM 2004: 257-264
56EEYiqiu Han, Wai Lam: Query-Driven Support Pattern Discovery for Classification Learning. ICDM 2004: 399-402
55EEWei Gao, Kam-Fai Wong, Wai Lam: Phoneme-Based Transliteration of Foreign Names for OOV Problem. IJCNLP 2004: 110-119
54EEPik-Shan Cheung, Ruizhang Huang, Wai Lam: Financial Activity Mining from Online Multilingual News. ITCC (1) 2004: 267-271
53EEWai Lam, Pik-Shan Cheung, Ruizhang Huang: Mining events and new name translations from online daily news. JCDL 2004: 287-295
52EEYiqiu Han, Wai Lam: Exploiting Hierarchical Domain Values in Classification Learning. SDM 2004
51EEYiqiu Han, Wai Lam: Lazy Learning by Scanning Memory Image Lattice. SDM 2004
50EEWai Lam, Tak-Lam Wong: Text Mining from Site Invariant and Dependent Features for Information Extraction Knowledge Adaptation. SDM 2004
49EEWai Lam, Ruizhang Huang, Pik-Shan Cheung: Learning phonetic similarity for matching named entity translations and mining new translations. SIGIR 2004: 289-296
48EEDragomir 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
47EEPik-Shan Cheung, Ruizhang Huang, Wai Lam: Digesting Bilingual Web News via Mining Financial Activities and Events. ICADL 2003: 687
46EEYiqiu Han, Wai Lam: Exploiting Heterogeneous Features for Classification Learning. IDEAL 2003: 177-184
45EETak-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
42EEAixin Sun, Myo-Myo Naing, Ee-Peng Lim, Wai Lam: Using Support Vector Machines for Terrorism Information Extraction. ISI 2003: 1-12
41EEYiqiu Han, Wai Lam: Exploiting Hierarchical Domain Values for Bayesian Learning. PAKDD 2003: 253-264
40EEWai 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)
39EEHong 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)
38EEHoracio Saggion, Dragomir R. Radev, Simone Teufel, Wai Lam: Meta-evaluation of Summaries in a Cross-lingual Environment using Content-based Metrics. COLING 2002
37EETak-Lam Wong, Wai Lam: Adapting Information Extraction Knowledge For Unseen Web Sites. ICDM 2002: 506-513
36EEGabriel Pui Cheong Fung, Jeffrey Xu Yu, Wai Lam: News Sensitive Stock Trend Prediction. PAKDD 2002: 481-493
35EEKi Chan, Boon Toh Low, Wai Lam, Kai-Pui Lam: Extracting Causation Knowledge from Natural Language Texts. PAKDD 2002: 555-560
34EEWai Lam, Alberto Maria Segre: A Distributed Learning Algorithm for Bayesian Inference Networks. IEEE Trans. Knowl. Data Eng. 14(1): 93-105 (2002)
33EEWai 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)
31EEWai 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)
30EEKei 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
28EEKin Hui, Wai Lam, Helen M. Meng: Automatic event generation from multi-lingual news stories. JCDL 2001: 23-24
27EEKwok-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)
22EEWai 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)
18EEKing-Kwok Ng, Wai Lam: Updating of Association Rules Dynamically. DANTE 1999: 84-
17EEWai 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)
15EEWai 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)
14EEMan 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)
13EEKwok 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
11EEWai Lam, Chao Yang Ho: Using a Generalized Instance Set for Automatic Text Categorization. SIGIR 1998: 81-89
10EEWai Lam: Bayesian Network Refinement Via Machine Learning Approach. IEEE Trans. Pattern Anal. Mach. Intell. 20(3): 240-251 (1998)
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
7EEJaved 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)
6 Wai Lam, Snehasis Mukhopadhyay: A Two-Level Approach to Learning in Nonstationary Environments. Canadian Conference on AI 1996: 271-283
5EEWai Lam, Snehasis Mukhopadhyay, Javed Mostafa, Mathew J. Palakal: Detection of Shifts in User Interests for Personalized Information Filtering. SIGIR 1996: 317-325
4 Wai Lam: Abstraction in Bayesian Belief Networks and Automatic Discovery from Past Inference Sessions. AAAI 1994: 257-262
3EEWai 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)
1EEWai Lam, Fahiem Bacchus: Using Causal Information and Local Measures to Learn Bayesian Networks. UAI 1993: 243-250

Coauthor Index

1Fahiem Bacchus [1] [2] [3]
2Eric Beyne [39]
3John Blitzer [48]
4Arda Çelebi [48]
5Ki Chan [35] [61] [62] [68] [70] [90] [91]
6Shing-Kit Chan [75] [76] [83] [85] [87] [96]
7Jack C. Y. Cheng [16]
8Pik-Shan Cheung [47] [49] [53] [54]
9Elliott Drábek [48]
10Gabriel Pui Cheong Fung [36]
11Wei Gao [55] [60]
12Xinbo Gao [29]
13Yiqiu Han [40] [41] [46] [51] [52] [56] [59] [64] [66] [80] [81]
14Chao Yang Ho [8] [11]
15Edward Kei Shiu Ho (Kei Shiu Ho) [25] [30] [72]
16Hong Meng Ho [39]
17Ruizhang Huang [43] [44] [47] [49] [53] [54] [74] [77] [83] [84] [86] [94]
18Kin Hui [28]
19Pui-Yu Hui [29]
20Chi-Kin Keung [21] [31] [33]
21Hon-Man Ko [69]
22Kwok-Yin Lai [26] [27]
23Kai-Pui Lam [35]
24Yin-Yee Law [44]
25Hong Va Leong [30] [72]
26Kwong-Sak Leung [14] [16] [32]
27Ee-Peng Lim [42]
28Wai-Yip Lin [22]
29Charles X. Ling [31] [80]
30Danyu Liu [33] [48]
31Ka Kan Lo [73]
32Boon Toh Low [35]
33Kon Fan Low [8] [12] [20]
34Robert Wing Pong Luk (Robert W. P. Luk) [72] [79]
35Filippo Menczer [78]
36Helen M. Meng [28] [29]
37Javed Mostafa [5] [7] [19] [24]
38Snehasis Mukhopadhyay [5] [6] [7]
39Myo-Myo Naing [42]
40King-Kwok Ng [18]
41Po Shun Ngan [16]
42Mathew J. Palakal [5] [7]
43Hong Qi [48]
44Dragomir R. Radev [38] [48] [61]
45Petar Ratchev [39]
46Miguel E. Ruiz [15]
47Horacio Saggion [38] [48] [61]
48Alberto Maria Segre [9] [34]
49Padmini Srinivasan [15]
50Serguei Stoukatch [39]
51Aixin Sun [42]
52Xiaoou Tang [29]
53Simone Teufel [38] [48] [61]
54Charles J. Vath [39]
55Wei Wang [45]
56Zhenyuan Wang [32]
57Chi-Yin Wong [23]
58Kam-Fai Wong [23] [55] [60]
59Man Leung Wong [14] [16] [32]
60Tak-Lam Wong [37] [45] [50] [57] [63] [65] [67] [75] [76] [82] [88] [89] [93] [95]
61Tik-Shun Wong [89] [93]
62Kebin Xu [32]
63Christopher C. Yang [58] [71] [78]
64Jeffrey Xu Yu [36]
65Kwok Leung Yu [13] [17]
66Xiaofeng Yu [85] [90] [92]
67Zhigang Zhang [74] [77] [84]
68Shanfeng Zhu [58]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)