Irwin King, WISC Lab
Professor, B.Sc. (Caltech), M.Sc., Ph.D. (USC)
President of International Neural Network Society, (INNS)
General Co-chair, The WebConf 2020, Taipei
Director, Centre for eLearning Innovation and Technology (ELITE)
Director, Rich Media Big Data Analytics and Application Key Laboratory, Shenzhen Research Institute (SZRI), The Chinese University of Hong Kong
Principal Investigator, The Knowledge and Education Exchange Platform (KEEP) Project
Principal Investigator, VeriGuide Project
Former Associate Dean (Education), Engineering Faculty
FIEEE (CIS), SMACM, APNNA (VP, BoG), FHKIE, IrwinKing.com
Department of Computer Science and Engineering (Room 908)
The Chinese University of Hong Kong, Shatin, NT, Hong Kong
Phone: +(852) 3943 8398; Fax: +(852) 2603 5024
Email: king [ at ] cse [ dot ] cuhk [ dot ] edu [ dot ] hk
See me in DBLP, Google Scholar, ResearchGate
- LMTS, AT&T Labs Research, San Francisco (2010-2012)
- Book Series Editor, Social Media and Social Computing, Taylor and Francis (CRC Press)
- Associate Editor of ACM Transactions on Knowledge Discovery from Data (ACM TKDD)
- Associate Editor of Journal of Neural Networks (NN)
- Editorial Board, International Journal of Data Science and Analytics
- Editorial Board, Big Data Analytics
- Former Associate Editor of INNS Natural Intelligence Magazine (INNS NIM)
- Former Associate Editor of IEEE Transactions on Neural Networks and Learning Systems (IEEE TNN)
- Vice-President of Membership, Board Member, Board of Governors, International Neural Network Society (INNS)
- Vice-President and Board Member, Asia Pacific Neural Network Assembly (APNNA)
- Chair, Task Force on the Future Directions of Neural Networks (IEEE CIS)
- Chair, SIG and Regional Chapters Committee for Asia and the Pacific (INNS)
- Former Member, CIS Outstanding Chapter Award Subcommittee, (IEEE CIS)
- Former Member of Review Panel of the Natural Science, and Engineering of Academy of Finland
- Former Member of Review Panel of the Natural Sciences and Engineering Research Council of Canada (NSERC)
- Former Member of RGC Engineering Panel, The Hong Kong SAR Government
- Member of Joint Research Scheme ( JRS) Panel under RGC, The Hong Kong SAR Government
- Principal Investigator, Chief Technologist, and Co-Founder, The VeriGuide Project, CUHK
- Member of the Engineering Faculty Board, The Chinese University of Hong Kong
- Member of the Editorial Board, Web Intelligence and Web Science (WIWS), Higher Education Press, China
- Kavli Fellow, Kavli Frontiers of Science Symposium, Kavli Foundation
- Apple's Distinguished Educator
- Special Issue Guest Editor, Twitter and Microblogging Services, ACM Transactions on Intelligent System and Technology (TIST), 2011-2012
- Special Issue Guest Editor, Web Intelligence, Neurocomputing, 2011
- General Chair, The Fourth ACM International Conference on Web Search and Data Mining (WSDM2011), February 2011, Hong Kong.
- Invited Speaker, The Moving Target of Mobile User Modeling, UMWA2011 Workshop at WSDM2011, February 9, 2011, Hong Kong.
- SPC, The 3rd Asia Conference on Machine Learning (ACML2011), November 13-15, 2011, Taoyuan, Taiwan.
- Vice-Program Chair, The 8th International Conference on Mobile Web Information Systems (MobiWIS), September 19-21, 2011, Niagara Falls, Ontario, Canada.
- SPC, AI and the Web Track, The Twenty-Fifth Conference on Artificial Intelligence (AAAI-11), August 7-11, 2011, San Francisco, USA.
- Keynote, The 6th International Conference on Advances in Information Technology (IAIT2012), Bangkok, Thailand, October-November, 2012.
- General Co-Chair, The 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM2012), Istanbul, Turkey, August 26-29, 2012.
- SPC, The Fifth ACM International Conference on Web Search and Data Mining (WSDM2012), February 9-12, 2011, Seattle, USA.
Research Interests
- Machine learning, social computing, neural networks, web intelligence, data mining, information retrieval, plagiarism detection, multimedia information processing
- Natural language processing, Q&A, key phrase summarization, sentiment analysis, etc.
- Graph embedding, knowledge graph, etc.
Multiple Positions Available (March 2020)
- Looking for qualified PhD candidates interested in graph neural networks, knowledge graphs, machine learning, NLP, social computing, AI, data mining, or related fields to start in August 2020 or August 2021.
- Looking for a Research Assistant (RA) to work in machine learning, social computing, NLP or related fields.
- Looking for a Research Assistant (RA) to work in sparse coding, sparse network, low-dimension neural networks, or related fields in machine learning.
- Looking for a Technical Writer to work in technology and education writing.
- Looking for experienced programmers/software engineers/web developers to work in front-end and back-end web development projects involving AI, education, and related projects. Please see this link for more information on various engineering positions available.
For interested candidates, please send your CV, a publication list, and a brief (1-2 page) statement of your research interests to Prof. Irwin King, email.
Send an email with your interests and resume.
Recent and Upcoming Events
- Becoming IEEE Fellow in 2019
- Becoming ACM Senior Member in 2019
- Becoming President of the International Neural Network Society in 2019
- Organizing The WebConf2020, Taipei from April 20-24, 2020 as General Co-chair
- Organizing ICONIP2020, Hong Kong as General Co-chair
Profile
Prof. King's research interests include machine learning, social computing, web intelligence, data mining, and multimedia information processing. In these research areas, he has over 210 technical publications in journals (JMLR, ACM TOIS, IEEE TNN, Neurocomputing, NN, IEEE BME, PR, IEEE SMC, JAMC, JASIST, IJPRAI, DSS, etc.) and conferences (NIPS, IJCAI, CIKM, SIGIR, KDD, PAKDD, ICDM, WWW, WI/IAT, WCCI, IJCNN, ICONIP, ICDAR, etc.). In addition, he has contributed over 30 book chapters and edited volumes. Moreover, Prof. King has over 30 research and applied grants. One notable patented system he has developed is the VeriGuide System, previously known as the CUPIDE (Chinese University Plagiarism IDentification Engine) system, which detects similar sentences and performs readability analysis of text-based documents in both English and in Chinese to promote academic integrity and honesty.
Prof. King is the Book Series Editor for “Social Media and Social Computing” with Taylor and Francis (CRC Press). He is also an Associate Editor of the ACM Transactions on Knowledge Discovery from Data (ACM TKDD) and a former Associate Editor of the IEEE Transactions on Neural Networks (TNN) and IEEE Computational Intelligence Magazine (CIM). He is a member of the Editorial Board of the Open Information Systems Journal, Journal of Nonlinear Analysis and Applied Mathematics, and Neural Information Processing–Letters and Reviews Journal (NIP-LR). He has also served as Special Issue Guest Editor for Neurocomputing, International Journal of Intelligent Computing and Cybernetics (IJICC), Journal of Intelligent Information Systems (JIIS), and International Journal of Computational Intelligent Research (IJCIR). He is a senior member of IEEE and a member of ACM, International Neural Network Society (INNS), and Asian Pacific Neural Network Assembly (APNNA). Currently, he is serving the Neural Network Technical Committee (NNTC) and the Data Mining Technical Committee under the IEEE Computational Intelligence Society (formerly the IEEE Neural Network Society). He is also a member of the Board of Governors of INNS and a Vice-President and Governing Board Member of APNNA. He also serves INNS as the Vice-President for Membership in the Board of Governors. Moreover, he is the General Chair of WSDM2011, General Co-Chair of RecSys2013, and in various capacities in a number of top conferences such as WWW, NIPS, ICML, IJCAI, AAAI, etc.
Prof. King is Professor at the Department of Computer Science and Engineering, and a former Associate Dean (Education), Faculty of Engineering at The Chinese University of Hong Kong. He had worked at the AT&T Labs Research, San Francisco and was also teaching Social Computing and Data Mining as a Visiting Professor at UC Berkeley in early 2010s. He received his B.Sc. degree in Engineering and Applied Science from California Institute of Technology, Pasadena and his M.Sc. and Ph.D. degree in Computer Science from the University of Southern California, Los Angeles.
