B.Sc. (Caltech), M.Sc., Ph.D. (USC)
Chairman and Professor of Department of Computer Science & Engineering
Fellow of IEEE, Fellow of INNS, Fellow of AAIA, Distinguished Member of ACM

Social Computing, Natural Language Processing, Graph Neural Networks, Recommender Systems
Research Areas
  • Applications
  • Artificial Intelligence
    • Deep Learning
    • Machine Learning
  • Data and Software Engineering
    • Big Data
    • Databases, Data Mining, and Knowledge Management
    • Information Retrieval
  • Rich Media

Links

Biography

Prof. Irwin King is the Chair and Professor of Computer Science & Engineering at The Chinese University of Hong Kong. His research interests include machine learning, social computing, AI, and data mining. He has over 350 technical publications in journals and conferences in these research areas with high citations. He is an IEEE Fellow, INNS Fellow, and an ACM Distinguished Member. He is an Associate Editor of the Journal of Neural Networks (NN), a former 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). He served as the President of the International Neural Network Society (INNS), General Co-chair of WebConf 2020, ICONIP 2020, WSDM 2011, RecSys 2013, ACML 2015, and in various capacities in top conferences and societies such as WWW, NIPS, ICML, IJCAI, AAAI, INNS, APNNS, etc. He is the recipient of the 2021 INNS Dennis Gabor Award for his outstanding contributions to engineering applications of neural networks, the 2020 APNNS Outstanding Achievement Award and several Test of Time Awards including ACM CIKM2019, ACM SIGIR 2020, and ACM WSDM 2022 for his contributions made in social computing with machine learning. In 2010 while on leave with AT&T Labs Research, San Francisco, he taught classes as a Visiting Professor at UC Berkeley. He received his B.Sc. degree in Engineering and Applied Science from the California Institute of Technology (Caltech), Pasadena, and his M.Sc. and Ph.D. degree in Computer Science from the University of Southern California (USC), Los Angeles.