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Tak-Lam Wong
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2020 – today
- 2024
- [c52]Henry C. B. Chan, Tak-Lam Wong, Parkash Lohana, Simanta Mitra, Joseph C. H. So:
Top 10 Computer Science Open Educational Resources in MERLOT. COMPSAC 2024: 2228-2232 - 2021
- [j33]Tak-Lam Wong, Di Zou, Gary Cheng, Jeff Kai Tai Tang, Yi Cai, Fu Lee Wang:
Enhancing skill prediction through generalising Bayesian knowledge tracing. Int. J. Mob. Learn. Organisation 15(4): 358-373 (2021) - [j32]Jianhui Pang, Yanghui Rao, Haoran Xie, Xizhao Wang, Fu Lee Wang, Tak-Lam Wong, Qing Li:
Fast Supervised Topic Models for Short Text Emotion Detection. IEEE Trans. Cybern. 51(2): 815-828 (2021) - 2020
- [e1]Fu Lee Wang, Haoran Xie, Wai Lam, Aixin Sun, Lun-Wei Ku, Tianyong Hao, Wei Chen, Tak-Lam Wong, Xiaohui Tao:
Information Retrieval Technology - 15th Asia Information Retrieval Societies Conference, AIRS 2019, Hong Kong, November 7-9, 2019, Proceedings. Lecture Notes in Computer Science 12004, Springer 2020, ISBN 978-3-030-42834-1 [contents]
2010 – 2019
- 2019
- [j31]Yi Cai, Haoran Xie, Raymond Y. K. Lau, Qing Li, Tak-Lam Wong, Fu Lee Wang:
Temporal event searches based on event maps and relationships. Appl. Soft Comput. 85 (2019) - [j30]Xin Li, Yanghui Rao, Haoran Xie, Xuebo Liu, Tak-Lam Wong, Fu Lee Wang:
Social emotion classification based on noise-aware training. Data Knowl. Eng. 123 (2019) - [j29]Haoran Xie, Tak-Lam Wong, Fu Lee Wang, Raymond K. Wong, Xiaohui Tao, Ran Wang:
Editorial: Affective and sentimental computing. Int. J. Mach. Learn. Cybern. 10(8): 2043-2044 (2019) - [j28]Kai Yang, Yi Cai, Zhiwei Cai, Haoran Xie, Tak-Lam Wong, Wai Hong Chan:
Top K representative: a method to select representative samples based on K nearest neighbors. Int. J. Mach. Learn. Cybern. 10(8): 2119-2129 (2019) - [j27]Yi Cai, Kai Yang, Dongping Huang, Zikai Zhou, Xue Lei, Haoran Xie, Tak-Lam Wong:
A hybrid model for opinion mining based on domain sentiment dictionary. Int. J. Mach. Learn. Cybern. 10(8): 2131-2142 (2019) - 2018
- [j26]Xiaodong Li, Haoran Xie, Raymond Y. K. Lau, Tak-Lam Wong, Fu Lee Wang:
Stock Prediction via Sentimental Transfer Learning. IEEE Access 6: 73110-73118 (2018) - [j25]Yi-Chao He, Haoran Xie, Tak-Lam Wong, Xizhao Wang:
A novel binary artificial bee colony algorithm for the set-union knapsack problem. Future Gener. Comput. Syst. 78: 77-86 (2018) - [j24]Victor C. S. Lee, Yuen-Tak Yu, Chung Man Tang, Tak-Lam Wong, Chung Keung Poon:
ViDA: A virtual debugging advisor for supporting learning in computer programming courses. J. Comput. Assist. Learn. 34(3): 243-258 (2018) - [j23]Ke Xu, Xushen Zheng, Yi Cai, Huaqing Min, Zhen Gao, Benjin Zhu, Haoran Xie, Tak-Lam Wong:
Improving user recommendation by extracting social topics and interest topics of users in uni-directional social networks. Knowl. Based Syst. 140: 120-133 (2018) - [j22]Haoran Xie, Debby Dan Wang, Yanghui Rao, Tak-Lam Wong, Raymond Y. K. Lau, Li Chen, Fu Lee Wang:
Incorporating user experience into critiquing-based recommender systems: a collaborative approach based on compound critiquing. Int. J. Mach. Learn. Cybern. 9(5): 837-852 (2018) - [j21]Tak-Lam Wong, Haoran Xie, Wai Lam, Fu Lee Wang:
A learning framework for information block search based on probabilistic graphical models and Fisher Kernel. Int. J. Mach. Learn. Cybern. 9(9): 1473-1487 (2018) - [j20]Tianyong Hao, Raymond K. Wong, Zhe He, Haoran Xie, Tak-Lam Wong, Fu Lee Wang:
Natural Language Processing Empowered Mobile Computing. Wirel. Commun. Mob. Comput. 2018: 9130545:1-9130545:2 (2018) - [c51]Chung Keung Poon, Tak-Lam Wong, Chung Man Tang, Jacky Kin Lun Li, Yuen-Tak Yu, Victor Chung Sing Lee:
Automatic Assessment via Intelligent Analysis of Students' Program Output Patterns. ICBL 2018: 238-250 - 2017
- [j19]Di Zou, Haoran Xie, Yanghui Rao, Tak-Lam Wong, Fu Lee Wang, Qingyuan Wu:
A Comparative Study on Various Vocabulary Knowledge Scales for Predicting Vocabulary Pre-Knowledge. Int. J. Distance Educ. Technol. 15(1): 69-81 (2017) - [j18]Haoran Xie, Di Zou, Fu Lee Wang, Tak-Lam Wong, Yanghui Rao, Simon Ho Wang:
Discover learning path for group users: A profile-based approach. Neurocomputing 254: 59-70 (2017) - [c50]Xingchang Huang, Yanghui Rao, Haoran Xie, Tak-Lam Wong, Fu Lee Wang:
Cross-Domain Sentiment Classification via Topic-Related TrAdaBoost. AAAI 2017: 4939-4940 - [c49]Xueying Zhan, Yaowei Wang, Yanghui Rao, Haoran Xie, Qing Li, Fu Lee Wang, Tak-Lam Wong:
A Network Framework for Noisy Label Aggregation in Social Media. ACL (2) 2017: 484-490 - [c48]Haoran Xie, An Liu, Fu Lee Wang, Tak-Lam Wong, Xiao Liu, Yanghui Rao:
Revisit tag-based profiles in the folksonomy: How many tags are sufficient for profiling? BigComp 2017: 274-277 - [c47]Xiaodong Li, Haoran Xie, Tak-Lam Wong, Fu Lee Wang:
Market impact analysis via sentimental transfer learning. BigComp 2017: 451-452 - [c46]Kai Yang, Yi Cai, Zhiwei Cai, Xingwei Tan, Haoran Xie, Tak-Lam Wong, Wai Hong Chan:
A new samples selecting method based on K nearest neighbors. BigComp 2017: 457-462 - [c45]Yanghui Rao, Jianhui Pang, Haoran Xie, An Liu, Tak-Lam Wong, Qing Li, Fu Lee Wang:
Supervised Intensive Topic Models for Emotion Detection over Short Text. DASFAA (1) 2017: 408-422 - [c44]Haoran Xie, Di Zou, Fu Lee Wang, Tak-Lam Wong:
A Review on Recent Development of the Involvement Load Hypothesis. ICBL 2017: 447-452 - [c43]Di Zou, Haoran Xie, Tak-Lam Wong, Fu Lee Wang, Reggie Kwan, Wai Hong Chan:
An Explicit Learner Profiling Model for Personalized Word Learning Recommendation. SETE@ICWL 2017: 495-499 - [c42]Tak-Lam Wong, Haoran Xie, Fu Lee Wang, Chung Keung Poon, Di Zou:
An automatic approach for discovering skill relationship from learning data. LAK 2017: 608-609 - [c41]Hong-Ning Dai, Wei Wei, Hao Wang, Tak-Lam Wong:
Impact of outcome-based education on software engineering teaching: A case study. TALE 2017: 261-264 - [c40]Ke Xu, Yi Cai, Huaqing Min, Xushen Zheng, Haoran Xie, Tak-Lam Wong:
UIS-LDA: a user recommendation based on social connections and interests of users in uni-directional social networks. WI 2017: 260-265 - [c39]Huijun Chen, Xin Li, Yanghui Rao, Haoran Xie, Fu Lee Wang, Tak-Lam Wong:
Sentiment Strength Prediction Using Auxiliary Features. WWW (Companion Volume) 2017: 5-14 - 2016
- [j17]Haoran Xie, Di Zou, Raymond Y. K. Lau, Fu Lee Wang, Tak-Lam Wong:
Generating Incidental Word-Learning Tasks via Topic-Based and Load-Based Profiles. IEEE Multim. 23(1): 60-70 (2016) - [j16]Haoran Xie, Xiaodong Li, Tao Wang, Raymond Y. K. Lau, Tak-Lam Wong, Li Chen, Fu Lee Wang, Qing Li:
Incorporating sentiment into tag-based user profiles and resource profiles for personalized search in folksonomy. Inf. Process. Manag. 52(1): 61-72 (2016) - [j15]Tak-Lam Wong:
Answering Reachability Queries on Incrementally Updated Graphs by Hierarchical Labeling Schema. J. Comput. Sci. Technol. 31(2): 381-399 (2016) - [j14]Yanghui Rao, Haoran Xie, Xuebo Liu, Qing Li, Fu Lee Wang, Tak-Lam Wong:
User authority ranking models for community question answering. J. Intell. Fuzzy Syst. 31(5): 2533-2542 (2016) - [j13]Lidong Bing, Tak-Lam Wong, Wai Lam:
Unsupervised Extraction of Popular Product Attributes from E-Commerce Web Sites by Considering Customer Reviews. ACM Trans. Internet Techn. 16(2): 12:1-12:17 (2016) - [c38]Tak-Lam Wong, Wai Lam, Haoran Xie, Fu Lee Wang:
A Joint Framework for Collaborative Filtering and Metric Learning. AIRS 2016: 184-196 - [c37]Chung Keung Poon, Tak-Lam Wong, Yuen-Tak Yu, Victor C. S. Lee, Chung Man Tang:
Toward More Robust Automatic Analysis of Student Program Outputs for Assessment and Learning. COMPSAC 2016: 780-785 - [c36]Di Zou, Haoran Xie, Tak-Lam Wong, Fu Lee Wang, Qingyuan Wu:
The Augmented Hybrid Graph Framework for Multi-level E-Learning Applications. ICBL 2016: 360-370 - [c35]Haoran Xie, Tak-Lam Wong, Di Zou, Fu Lee Wang, Leung Pun Wong:
Sentiment Analysis for Older People in Cross-Platform Instant Messaging Service. SETE@ICWL 2016: 301-305 - [c34]Di Zou, Fu Lee Wang, Haoran Xie, Tak-Lam Wong:
English Education for the Elderly in Hong Kong. SETE@ICWL 2016: 306-310 - [c33]Tak-Lam Wong, Haoran Xie, Di Zou, Fu Lee Wang:
Using iBeacon Technology for Active Aging Learning. SETE@ICWL 2016: 331-336 - [c32]Gary Cheng, Ellie Law, Tak-Lam Wong:
Investigating effects of automated feedback on EFL students' reflective learning skills. TALE 2016: 226-230 - 2015
- [j12]Lidong Bing, Wai Lam, Tak-Lam Wong, Shoaib Jameel:
Web Query Reformulation via Joint Modeling of Latent Topic Dependency and Term Context. ACM Trans. Inf. Syst. 33(2): 6:1-6:38 (2015) - [c31]Di Zou, Haoran Xie, Fu Lee Wang, Tak-Lam Wong, Qingyuan Wu:
Investigating the Effectiveness of the Uses of Electronic and Paper-Based Dictionaries in Promoting Incidental Word Learning. ICHL 2015: 59-69 - [c30]Di Zou, Haoran Xie, Tak-Lam Wong, Yanghui Rao, Fu Lee Wang, Qingyuan Wu:
Predicting Pre-knowledge on Vocabulary from e-Learning Assignments for Language Learners. ICWL Workshops 2015: 111-117 - 2014
- [j11]Ki Chan, Wai Lam, Tak-Lam Wong:
Knowledge Base Refinement Using Limited Amount of Efforts from Experts. Int. J. Knowl. Based Organ. 4(2): 1-19 (2014) - [j10]Tak-Lam Wong:
Learning Markov logic networks with limited number of labeled training examples. Int. J. Knowl. Based Intell. Eng. Syst. 18(2): 91-98 (2014) - [c29]Tak-Lam Wong:
An intelligent recommendation system using preference regularization. ISDA 2014: 95-100 - 2013
- [j9]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) - [j8]Lidong Bing, Wai Lam, Tak-Lam Wong:
Robust detection of semi-structured web records using a DOM structure-knowledge-driven model. ACM Trans. Web 7(4): 21:1-21:32 (2013) - [c28]Lidong Bing, Wai Lam, Tak-Lam Wong:
Wikipedia entity expansion and attribute extraction from the web using semi-supervised learning. WSDM 2013: 567-576 - 2012
- [j7]Tak-Lam Wong:
Learning to adapt cross language information extraction wrapper. Appl. Intell. 36(4): 918-931 (2012) - [c27]Lidong Bing, Tak-Lam Wong, Wai Lam:
Unsupervised Extraction of Popular Product Attributes from Web Sites. AIRS 2012: 437-446 - [c26]Gabriel Pui, Cheong Fung, Kai-On Chow, Tak-Lam Wong:
What is the role of physical location in our online social networks? ICMLC 2012: 1252-1257 - 2011
- [c25]Lidong Bing, Wai Lam, Tak-Lam Wong:
Using query log and social tagging to refine queries based on latent topics. CIKM 2011: 583-592 - [c24]Kai-On Chow, Tak-Lam Wong:
A Multiplicity Approach to Organization of Knowledge and Development of Web Software. DASC 2011: 1192-1198 - [c23]Tak-Lam Wong, Lidong Bing, Wai Lam:
Normalizing web product attributes and discovering domain ontology with minimal effort. WSDM 2011: 805-814 - 2010
- [j6]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) - [c22]Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong:
Location and Scatter Matching for Dataset Shift in Text Mining. ICDM 2010: 773-778 - [c21]Fu Lee Wang, Reggie Kwan, Tak-Lam Wong:
Effectiveness of E-Learning at Secondary Schools in Hong Kong. ICHL 2010: 489-500 - [c20]Ki Chan, Tak-Lam Wong, Wai Lam:
Adapting relational logic models using unlabeled data. ICMLC 2010: 167-172 - [c19]Tak-Lam Wong, Kai-On Chow, Fu Lee Wang, Philip M. Tsang:
Improving Markov Logic Network learning using unlabeled data. ICMLC 2010: 236-240 - [c18]Ki Chan, Wai Lam, Tak-Lam Wong:
Discovery of logic relations for text mining adaptation using unlabeled data. RIAO 2010: 128-129
2000 – 2009
- 2009
- [j5]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) - [c17]Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong:
Extracting discriminative concepts for domain adaptation in text mining. KDD 2009: 179-188 - [c16]Tak-Lam Wong, Kai-On Chow, Wai Lam:
Cross Language Information Extraction Knowledge Adaptation. RSKT 2009: 520-528 - [c15]Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong:
A Semi-Supervised Framework for Feature Mapping and Multiclass Classification. SDM 2009: 341-352 - [c14]Tak-Lam Wong, Wai Lam, Bo Chen:
Mining employment market via text block detection and adaptive cross-domain information extraction. SIGIR 2009: 283-290 - 2008
- [j4]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) - [c13]Tak-Lam Wong, Tik-Shun Wong, Wai Lam:
An Unsupervised Approach for Product Record Normalization across Different Web Sites. AAAI 2008: 1249-1254 - [c12]Fu Lee Wang, Tak-Lam Wong:
Designing Programming Exercises with Computer Assisted Instruction. ICHL 2008: 283-293 - [c11]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 - 2007
- [j3]Philip M. Tsang, Paul Kwok, Steven O. Choy, Reggie Kwan, Sin Chun Ng, Jacky Mak, Jonathan Tsang, Kai S. Koong, Tak-Lam Wong:
Design and implementation of NN5 for Hong Kong stock price forecasting. Eng. Appl. Artif. Intell. 20(4): 453-461 (2007) - [j2]Tak-Lam Wong, Wai Lam:
Adapting Web information extraction knowledge via mining site-invariant and site-dependent features. ACM Trans. Internet Techn. 7(1): 6 (2007) - [c10]Fu Lee Wang, Joseph Fong, Marian Choy, Tak-Lam Wong:
Blended Teaching and Learning of Computer Programming. ICWL 2007: 606-617 - 2006
- [c9]Tak-Lam Wong, Wai Lam, Shing-Kit Chan:
Extracting and Summarizing Hot Item Features Across Different Auction Web Sites. PAKDD 2006: 334-345 - [c8]Tak-Lam Wong, Wai Lam, Shing-Kit Chan:
Collaborative Information Extraction and Mining from Multiple Web Documents. SDM 2006: 442-452 - 2005
- [j1]Tak-Lam Wong, Wai Lam, Enhong Chen:
Automatic Domain Ontology Generation from Web sites. Trans. SDPS 9(3): 29-38 (2005) - [c7]Tak-Lam Wong, Wai Lam:
Hot Item Mining and Summarization from Multiple Auction Web Sites. ICDM 2005: 797-800 - [c6]Tak-Lam Wong, Wai Lam:
Training Conditional Random Fields with Unlabeled Data and Limited Number of Labeled Examples. ICMLC 2005: 477-486 - [c5]Tak-Lam Wong, Wai Lam:
Learning to Refine Ontology for a New Web Site Using a Bayesian Approach. SDM 2005: 298-309 - 2004
- [c4]Tak-Lam Wong, Wai Lam:
A Probabilistic Approach for Adapting Information Extraction Wrappers and Discovering New Attributes. ICDM 2004: 257-264 - [c3]Wai Lam, Tak-Lam Wong:
Text Mining from Site Invariant and Dependent Features for Information Extraction Knowledge Adaptation. SDM 2004: 45-56 - 2003
- [c2]Tak-Lam Wong, Wai Lam, Wei Wang:
Beyond Supervised Learning of Wrappers for Extracting Information from Unseen Web Sites. IDEAL 2003: 725-733 - 2002
- [c1]Tak-Lam Wong, Wai Lam:
Adapting Information Extraction Knowledge For Unseen Web Sites. ICDM 2002: 506-513
Coauthor Index
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last updated on 2024-10-07 22:12 CEST by the dblp team
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