Wai Lam

	2009
102		Xiaofeng Yu, Wai Lam, Bo Chen: An integrated discriminative probabilistic approach to information extraction. CIKM 2009: 325-334
101		Bo Chen, Wai Lam, Ivor Tsang, Tak-Lam Wong: Extracting discriminative concepts for domain adaptation in text mining. KDD 2009: 179-188
100		Shing-Kit Chan, Wai Lam: An Efficient Method for Generating, Storing and Matching Features for Text Mining. PAKDD 2009: 86-97
99		Tak-Lam Wong, Kai-On Chow, Wai Lam: Cross Language Information Extraction Knowledge Adaptation. RSKT 2009: 520-528
98		Bo Chen, Wai Lam, Ivor Tsang, Tak-Lam Wong: A Semi-Supervised Framework for Feature Mapping and Multiclass Classification. SDM 2009: 341-352
97		Tak-Lam Wong, Wai Lam, Bo Chen: Mining employment market via text block detection and adaptive cross-domain information extraction. SIGIR 2009: 283-290
96		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)
95		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
94		Tak-Lam Wong, Tik-Shun Wong, Wai Lam: An Unsupervised Approach for Product Record Normalization across Different Web Sites. AAAI 2008: 1249-1254
93		Xiaofeng Yu, Wai Lam: Hidden Dynamic Probabilistic Models for Labeling Sequence Data. AAAI 2008: 739-745
92		Ki Chan, Wai Lam: Pronoun Resolution with Markov Logic Networks. AIRS 2008: 153-164
91		Ki Chan, Wai Lam, Xiaofeng Yu: Coreference resolution using expressive logic models. CIKM 2008: 1373-1374
90		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
89		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
88		Shing-Kit Chan, Wai Lam: Efficient Methods for Biomedical Named Entity Recognition. BIBE 2007: 729-735
87		Ruizhang Huang, Wai Lam: Semi-supervised Document Clustering via Active Learning with Pairwise Constraints. ICDM 2007: 517-522
86		Shing-Kit Chan, Wai Lam, Xiaofeng Yu: A Cascaded Approach to Biomedical Named Entity Recognition Using a Unified Model. ICDM 2007: 93-102
85		Ruizhang Huang, Wai Lam, Zhigang Zhang: Active Learning of Constraints for Semi-supervised Text Clustering. SDM 2007
84		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)
83		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)
82		Yiqiu Han, Wai Lam: Utilizing hierarchical feature domain values for prediction. Data Knowl. Eng. 61(3): 540-553 (2007)
81		Yiqiu Han, Wai Lam, Charles X. Ling: Customized classification learning based on query projections. Inf. Sci. 177(17): 3557-3573 (2007)
80		Robert W. P. Luk, Wai Lam: Efficient in-memory extensible inverted file. Inf. Syst. 32(5): 733-754 (2007)
79		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
78		Ruizhang Huang, Zhigang Zhang, Wai Lam: Text Clustering with Limited User Feedback Under Local Metric Learning. AIRS 2006: 132-144
77		Tak-Lam Wong, Wai Lam, Shing-Kit Chan: Extracting and Summarizing Hot Item Features Across Different Auction Web Sites. PAKDD 2006: 334-345
76		Tak-Lam Wong, Wai Lam, Shing-Kit Chan: Collaborative Information Extraction and Mining from Multiple Web Documents. SDM 2006
75		Ruizhang Huang, Zhigang Zhang, Wai Lam: Refining hierarchical taxonomy structure via semi-supervised learning. SIGIR 2006: 653-654
74		Ka Kan Lo, Wai Lam: Using Semantic Relations with World Knowledge for Question Answering. TREC 2006
73		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)
72		Christopher C. Yang, Wai Lam: Introduction to the special topic section on multilingual information systems. JASIST 57(5): 629-631 (2006)
	2005
71		Ki Chan, Wai Lam: Gene Ontology Classification of Biomedical Literatures Using Context Association. AIRS 2005: 552-557
70		Hon-Man Ko, Wai Lam: A New Approach for Semi-supervised Online News Classification. Human.Society@Internet 2005: 238-247
69		Ki Chan, Wai Lam: Discovering Patterns from Ontology-Derived Texts. ICADL 2005: 395-399
68		Tak-Lam Wong, Wai Lam: Hot Item Mining and Summarization from Multiple Auction Web Sites. ICDM 2005: 797-800
67		Yiqiu Han, Wai Lam: Exploring Query Matrix for Support Pattern Based Classification Learning. ICMLC 2005: 209-218
66		Tak-Lam Wong, Wai Lam: Training Conditional Random Fields with Unlabeled Data and Limited Number of Labeled Examples. ICMLC 2005: 477-486
65		Yiqiu Han, Wai Lam: Lazy Learning for Classification Based on Query Projections. SDM 2005
64		Tak-Lam Wong, Wai Lam: Learning to Refine Ontology for a New Web Site Using a Bayesian Approach. SDM 2005
63		Wai Lam, Yiqiu Han, Ki Chan: Pattern Based Customized Learning for TREC Genomics Track Categorization Task. TREC 2005
62		Ki Chan, Wai Lam: Extracting causation knowledge from natural language texts. Int. J. Intell. Syst. 20(3): 327-358 (2005)
61		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		Wei Gao, Kam-Fai Wong, Wai Lam: Improving Transliteration with Precise Alignment of Phoneme Chunks and Using Contextual Features. AIRS 2004: 106-117
59		Yiqiu Han, Wai Lam: Interpretable Query Projection Learning. CIS 2004: 969-974
58		Shanfeng Zhu, Christopher C. Yang, Wai Lam: CatRelate: A New Hierarchical Document Category Integration Algorithm by Learning Category Relationships. ICADL 2004: 280-289
57		Tak-Lam Wong, Wai Lam: A Probabilistic Approach for Adapting Information Extraction Wrappers and Discovering New Attributes. ICDM 2004: 257-264
56		Yiqiu Han, Wai Lam: Query-Driven Support Pattern Discovery for Classification Learning. ICDM 2004: 399-402
55		Wei Gao, Kam-Fai Wong, Wai Lam: Phoneme-Based Transliteration of Foreign Names for OOV Problem. IJCNLP 2004: 110-119
54		Pik-Shan Cheung, Ruizhang Huang, Wai Lam: Financial Activity Mining from Online Multilingual News. ITCC (1) 2004: 267-271
53		Wai Lam, Pik-Shan Cheung, Ruizhang Huang: Mining events and new name translations from online daily news. JCDL 2004: 287-295
52		Yiqiu Han, Wai Lam: Exploiting Hierarchical Domain Values in Classification Learning. SDM 2004
51		Yiqiu Han, Wai Lam: Lazy Learning by Scanning Memory Image Lattice. SDM 2004
50		Wai Lam, Tak-Lam Wong: Text Mining from Site Invariant and Dependent Features for Information Extraction Knowledge Adaptation. SDM 2004
49		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		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		Pik-Shan Cheung, Ruizhang Huang, Wai Lam: Digesting Bilingual Web News via Mining Financial Activities and Events. ICADL 2003: 687
46		Yiqiu Han, Wai Lam: Exploiting Heterogeneous Features for Classification Learning. IDEAL 2003: 177-184
45		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		Aixin Sun, Myo-Myo Naing, Ee-Peng Lim, Wai Lam: Using Support Vector Machines for Terrorism Information Extraction. ISI 2003: 1-12
41		Yiqiu Han, Wai Lam: Exploiting Hierarchical Domain Values for Bayesian Learning. PAKDD 2003: 253-264
40		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		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		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		Tak-Lam Wong, Wai Lam: Adapting Information Extraction Knowledge For Unseen Web Sites. ICDM 2002: 506-513
36		Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Wai Lam: News Sensitive Stock Trend Prediction. PAKDD 2002: 481-493
35		Ki Chan, Boon Toh Low, Wai Lam, Kai-Pui Lam: Extracting Causation Knowledge from Natural Language Texts. PAKDD 2002: 555-560
34		Wai Lam, Alberto Maria Segre: A Distributed Learning Algorithm for Bayesian Inference Networks. IEEE Trans. Knowl. Data Eng. 14(1): 93-105 (2002)
33		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		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		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		Kin Hui, Wai Lam, Helen M. Meng: Automatic event generation from multi-lingual news stories. JCDL 2001: 23-24
27		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		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		King-Kwok Ng, Wai Lam: Updating of Association Rules Dynamically. DANTE 1999: 84-
17		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		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		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		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		Wai Lam, Chao Yang Ho: Using a Generalized Instance Set for Automatic Text Categorization. SIGIR 1998: 81-89
10		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		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		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		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		Wai Lam, Fahiem Bacchus: Using Causal Information and Local Measures to Learn Bayesian Networks. UAI 1993: 243-250

Coauthor Index

1	Fahiem Bacchus	[1] [2] [3]
2	Eric Beyne	[39]
3	John Blitzer	[48]
4	Arda Çelebi	[48]
5	Ki Chan	[35] [61] [62] [63] [69] [71] [91] [92]
6	Shing-Kit Chan	[76] [77] [84] [86] [88] [100]
7	Bo Chen	[97] [98] [101] [102]
8	Jack C. Y. Cheng	[16]
9	Pik-Shan Cheung	[47] [49] [53] [54]
10	Kai-On Chow	[99]
11	Elliott Drábek	[48]
12	Gabriel Pui Cheong Fung	[36]
13	Wei Gao	[55] [60]
14	Xinbo Gao	[29]
15	Yiqiu Han	[40] [41] [46] [51] [52] [56] [59] [63] [65] [67] [81] [82]
16	Chao Yang Ho	[8] [11]
17	Edward Kei Shiu Ho (Kei Shiu Ho)	[25] [30] [73]
18	Hong Meng Ho	[39]
19	Ruizhang Huang	[43] [44] [47] [49] [53] [54] [75] [78] [84] [85] [87] [95]
20	Kin Hui	[28]
21	Pui-Yu Hui	[29]
22	Chi-Kin Keung	[21] [31] [33]
23	Hon-Man Ko	[70]
24	Kwok-Yin Lai	[26] [27]
25	Kai-Pui Lam	[35]
26	Yin-Yee Law	[44]
27	Hong Va Leong	[30] [73]
28	Kwong-Sak Leung	[14] [16] [32]
29	Ee-Peng Lim	[42]
30	Wai-Yip Lin	[22]
31	Charles X. Ling	[31] [81]
32	Danyu Liu	[33] [48]
33	Ka Kan Lo	[74]
34	Boon Toh Low	[35]
35	Kon Fan Low	[8] [12] [20]
36	Robert Wing Pong Luk (Robert W. P. Luk)	[73] [80]
37	Filippo Menczer	[79]
38	Helen M. Meng	[28] [29]
39	Javed Mostafa	[5] [7] [19] [24]
40	Snehasis Mukhopadhyay	[5] [6] [7]
41	Myo-Myo Naing	[42]
42	King-Kwok Ng	[18]
43	Po Shun Ngan	[16]
44	Mathew J. Palakal	[5] [7]
45	Hong Qi	[48]
46	Dragomir R. Radev	[38] [48] [61]
47	Petar Ratchev	[39]
48	Miguel E. Ruiz	[15]
49	Horacio Saggion	[38] [48] [61]
50	Alberto Maria Segre	[9] [34]
51	Padmini Srinivasan	[15]
52	Serguei Stoukatch	[39]
53	Aixin Sun	[42]
54	Xiaoou Tang	[29]
55	Simone Teufel	[38] [48] [61]
56	Ivor Tsang	[98] [101]
57	Charles J. Vath	[39]
58	Wei Wang	[45]
59	Zhenyuan Wang	[32]
60	Chi-Yin Wong	[23]
61	Kam-Fai Wong	[23] [55] [60]
62	Man Leung Wong	[14] [16] [32]
63	Tak-Lam Wong	[37] [45] [50] [57] [64] [66] [68] [76] [77] [83] [89] [90] [94] [96] [97] [98] [99] [101]
64	Tik-Shun Wong	[90] [94]
65	Kebin Xu	[32]
66	Christopher C. Yang	[58] [72] [79]
67	Jeffrey Xu Yu (Xu Yu)	[36]
68	Kwok Leung Yu	[13] [17]
69	Xiaofeng Yu	[86] [91] [93] [102]
70	Zhigang Zhang	[75] [78] [85]
71	Shanfeng Zhu	[58]

Colors in the list of coauthors