B.Sc. (Caltech), M.Sc., Ph.D. (USC)
Professor
Fellow of ACM, Fellow of IEEE, Fellow of INNS, Fellow of AAIA, Fellow of HKIE
Trustworthy AI, Machine Learning, Social Computing, Natural Language Processing, Graph Neural Networks, Recommender Systems
- SHB 910
- +852 3943 8398
- king[@]cse.cuhk.edu.hk
- Applications
- Artificial Intelligence
- Deep Learning
- Machine Learning
- Data and Software Engineering
- Big Data
- Databases, Data Mining, and Knowledge Management
- Information Retrieval
- Rich Media
Links
- Director, Machine Intelligence and Social Computing (MISC) Lab
- Director, Centre for ELearning Innovation and TEchnology (ELITE)
- PI, The Knowledge and Education Exchange Platform (KEEP) and The VeriGuide Project
- Associate Editor, AI Journal (JAI)
- Associate Editor, Neural Network Journal (NN)
- Associate Editor, International Journal of Data Science and Analytics (JDSA)
- Associate Editor, Knowledge and Information Systems (KAIS)
- Associate Editor, Artificial Intelligence Science and Engineering (AISE)
- Vice-Chair, ACM SIGWEB
- Vice-Chair, ACM WebConf Steering Committee
- Distinguished Speaker, ACM Distinguished Speaker
Biography
Professor Irwin King is a world renowned scholar in machine intelligence, currently Professor and immediate Past-chair of Computer Science & Engineering at The Chinese University of Hong Kong. With a broad range of research interests covering areas such as trustworthy AI, machine learning, social computing, AI, and data mining, Professor King is a Fellow of prestigious societies and associations, including the ACM, IEEE, INNS, AAIA, and HKIE. Over the years, he has played many leadership roles in various top conferences and societies, such as serving as the President of the International Neural Network Society, General Co-chair of conferences such as WebConf 2020, ICONIP 2020, ACML 2015, RecSys 2013, and WSDM 2011. He has also held several leading capacities in conferences such as WWW, NIPS, ICML, IJCAI, AAAI, and ICONIP.
Professor King has been honored with various prestigious awards in recognition of his contributions to the field of machine intelligence. Some of his notable awards include the 2021 INNS Dennis Gabor Award for engineering applications of neural networks, the 2020 APNNS Outstanding Achievement Award, and several Test of Time Awards from ACM conferences such as CIKM2019, SIGIR 2020, and WSDM 2022. Additionally, during his tenure with AT&T Labs Research, San Francisco, he also taught as a Visiting Professor at UC Berkeley.
Currently, Professor King is the Director of the Centre for Learning Innovation and Technology (ELITE) for the promotion of eLearning using education technology. He also directs the Machine Intelligence and Social Computing (MISC) Lab for machine learning related research work.
Professor King holds a B.Sc. degree in Engineering and Applied Science from the California Institute of Technology (Caltech) and obtained his M.Sc. and Ph.D. degrees in Computer Science from the University of Southern California (USC).
- Hao Ma, Dengyong Zhou, Chao Liu, Michael R. Lyu, Irwin King: Recommender systems with social regularization. WSDM 2011: 287-296 (electronic edition via DOI)
- Hao Ma, Haixuan Yang, Michael R. Lyu, Irwin King: SoRec: social recommendation using probabilistic matrix factorization. CIKM 2008: 931-940 (electronic edition via DOI)
- Hao Ma, Irwin King, Michael R. Lyu: Learning to recommend with social trust ensemble. SIGIR 2009: 203-210 (electronic edition via DOI)
- Hao Ma, Irwin King, Michael R. Lyu: Effective missing data prediction for collaborative filtering. SIGIR 2007: 39-46 (electronic edition via DOI)
- Chen Cheng, Haiqin Yang, Irwin King, Michael R. Lyu: Fused Matrix Factorization with Geographical and Social Influence in Location-Based Social Networks. AAAI 2012 (electronic edition @aaai.org)
- Xiangli Yang, Zixing Song, Irwin King, Zenglin Xu: A Survey on Deep Semi-Supervised Learning. IEEE Trans. Knowl. Data Eng. 35(9): 8934-8954 (2023)
- Xinyu Fu, Irwin King: FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks. IJCAI 2023: 3705-3713
- Zixing Song, Xiangli Yang, Zenglin Xu, and Irwin King: Graph-Based Semi-Supervised Learning: A Comprehensive Review. IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 2022.
- Yankai Chen, Menglin Yang, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jianye Hao, Irwin King: Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation. WSDM 2022: 94-102
- Yifei Zhang, Hao Zhu, Ziqiao Meng, Piotr Koniusz, Irwin King: Graph-adaptive Rectified Linear Unit for Graph Neural Networks. WWW 2022: 1331-1339
- 2021 INNS Dennis Gabor Award for his outstanding contributions to engineering applications of neural networks.
- ACM WSDM 2021 Test of Time Award for Hao Ma, Dengyong Zhou, Chao Liu, Michael R. Lyu, and Irwin King: Recommender systems with social regularization. WSDM 2011
- 2020 Asia Pacific Neural Network Society (APNNS) Outstanding Achievement Award, International Conference on Neural Information Processing (ICONIP 2020), November 18-22, Bangkok, Thailand
- Global AI 2000 List, AI 2000 Most Influential Scholars for #34 in AAAI/IJCAI; #44 in Information Retrieval and Recommendation; #56 in Data Mining. CUHK CPRO.
- ACM SIGIR 2020 Xian Test of Time Award for Hao Ma, Irwin King, Michael R.. Lyu: Learning to Recommend with Social Trust Ensemble. SIGIR 2009: 203-210.
- ACM CIKM 2019 Beijing Test of Time Award for Hao Ma, Haixuan Yang, Michael R. Lyu, and Irwin King, SoRec: Social Recommendation Using Probabilistic Matrix Factorization, presented at CIKM 2008.