His scientific interests lie mostly in Artificial intelligence, Natural language processing, Rumor, Machine learning and Social media. His research in Artificial intelligence is mostly focused on Sentence. His research integrates issues of Polarity, Word and Information retrieval in his study of Natural language processing.
The Artificial neural network and Recurrent neural network research Kam-Fai Wong does as part of his general Machine learning study is frequently linked to other disciplines of science, such as Logical relations, therefore creating a link between diverse domains of science. His study in the fields of Microblogging under the domain of Social media overlaps with other disciplines such as Tree kernel. Kam-Fai Wong usually deals with Microblogging and limits it to topics linked to Variation and World Wide Web.
His main research concerns Artificial intelligence, Natural language processing, Information retrieval, Data mining and Social media. His research in Artificial intelligence intersects with topics in Machine learning and Task. His Natural language processing research incorporates elements of Annotation, Speech recognition and Word.
His study brings together the fields of World Wide Web and Information retrieval. His biological study spans a wide range of topics, including Topic model, Conversation and Rumor. His studies in Relevance integrate themes in fields like Probabilistic logic and Vector space model.
Kam-Fai Wong spends much of his time researching Artificial intelligence, Social media, Natural language processing, Microblogging and Conversation. His biological study spans a wide range of topics, including Domain, Machine learning and Task. The various areas that he examines in his Social media study include Event, Rumor, Data mining and Internet privacy.
His work carried out in the field of Rumor brings together such families of science as Variation and Data science. The concepts of his Natural language processing study are interwoven with issues in Word, SemEval and Identification. His Microblogging study combines topics from a wide range of disciplines, such as Topic model, Information retrieval, Automatic summarization and Joint.
The scientist’s investigation covers issues in Artificial intelligence, Task, Machine learning, Rumor and Social media. The study incorporates disciplines such as Conversation and Natural language processing in addition to Artificial intelligence. His study in the field of Task completion is also linked to topics like Policy learning.
His study on Artificial neural network, Recurrent neural network and Kernel is often connected to Tree kernel as part of broader study in Machine learning. His Rumor research also works with subjects such as
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Interpreting TF-IDF term weights as making relevance decisions
Ho Chung Wu;Robert Wing Pong Luk;Kam Fai Wong;Kui Lam Kwok.
ACM Transactions on Information Systems (2008)
Detecting rumors from microblogs with recurrent neural networks
Jing Ma;Wei Gao;Prasenjit Mitra;Sejeong Kwon.
international joint conference on artificial intelligence (2016)
Detect Rumors Using Time Series of Social Context Information on Microblogging Websites
Jing Ma;Wei Gao;Zhongyu Wei;Yueming Lu.
conference on information and knowledge management (2015)
Detect Rumors in Microblog Posts Using Propagation Structure via Kernel Learning
Jing Ma;Wei Gao;Kam Fai Wong.
meeting of the association for computational linguistics (2017)
Component-based software engineering: technologies, development frameworks, and quality assurance schemes
Xia Cai;M.R. Lyu;Kam-Fai Wong;Roy Ko.
asia pacific software engineering conference (2000)
Rumor Detection on Twitter with Tree-structured Recursive Neural Networks
Jing Ma;Wei Gao;Kam-Fai Wong.
meeting of the association for computational linguistics (2018)
Extractive Summarization Using Supervised and Semi-Supervised Learning
Kam-Fai Wong;Mingli Wu;Wenjie Li.
international conference on computational linguistics (2008)
Web 2.0 environmental scanning and adaptive decision support for business mergers and acquisitions
Raymond Y. K. Lau;Stephen S. Y. Liao;K. F. Wong;Dickson K. W. Chiu.
Management Information Systems Quarterly (2012)
A genetic algorithm-based clustering approach for database partitioning
Chun-Hung Cheng;Wing-Kin Lee;Kam-Fai Wong.
systems man and cybernetics (2002)
Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning
Baolin Peng;Xiujun Li;Lihong Li;Jianfeng Gao.
empirical methods in natural language processing (2017)
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