• Machine learning, social computing, neural networks, web intelligence, data mining, information retrieval, plagiarism detection, multimedia information processing
  • Graph neural networks, graph embedding, knowledge graph, etc.
  • Natural language processing, Q&A, key phrase summarization, sentiment analysis, etc.
  • Federated learning and related topics in security and privacy, robustness, etc.
  • AI and graph applications in medicine, e.g., protein folding, data mining of health records, medical knowledge graphs, etc.

Multiple Positions Available (September 2023)

• Looking for qualified PhD candidates interested in graph neural networks, machine learning, NLP, federated learning, social computing, AI, data mining, or related fields to start in August 2024.
• 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.
• Good self-financed candidates are also given priority.

For Interested PhD Candidates 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.

1. Yankai Chen, Yaming Yang, Yujing Wang, Jing Bai, Xiangchen Song, and Irwin King. Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation, ICDE 2022, May 9-12, 2022, Kuala Lumpur, Malaysia
2. Zixing Song and Irwin King. Hierarchical Heterogeneous Graph Attention Network for Syntax-Aware Summarization, AAAI 2022, February 22-March 1, 2022, Vancouver, Canada
3. Jingjing Li, Zichao Li, Tao Ge, Irwin King, and Michael Lyu. Text Revision by On-the-Fly Representation Optimization, AAAI 2022, February 22-March 1, 2022, Vancouver, Canada
4. Yankai Chen, Menglin Yang, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jianye Hao, and Irwin King. Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation, February 21-25, 2022, Phoenix, AZ

• CUHK's Computer Science discipline has been ranked #10 Best Global Universities for Computer Science by the US News and World Report URL1 URL2
• Leading researcher in AI, Machine Learning & Mining, Natural Language Processing, and Web & Information Retrieval in CUHK by CSRanking URL
• Honorable Mentions in 2021 AI 2000 Most Influential Scholars in AAAI/IJCAI and Data Mining URL
• Honorable Mentions in 2020 AI 2000 Most Influential Scholars in AAAI/IJCAI and Data Mining URL
• Received 2020 Asia Pacific Neural Network Society (APNNS) Outstanding Achievement Award
• Received Best Student Paper Award @ ICONIP 2020, November 18-22, 2020, Bangkok, Thailand
• Received the University Education Award (Teams) for the 2019-2020 academic year
• Received the Test of Time Award at ACM SIGIR 2020.
• Received the Test of Time Award at ACM CIKM 2019.
• Becoming IEEE Fellow in 2019
• Becoming ACM Distinguished 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

• Visiting Professor with School of Information (iSchool), UC Berkeley (2011-2012)
• 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.

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.