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



Social Computing, Natural Language Processing, Graph Neural Networks, Recommender Systems






SHB 1031/908
+852 3943 8398
king[@]cse.cuhk.edu.hk

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

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Director, Centre for ELearning Innovation and TEchnology (ELITE)
Director, Rich Media Big Data Analytics and Application Key Laboratory, SZRI
PI, The Knowledge and Education Exchange Platform (KEEP) and The VeriGuide Project
Associate Editor, Neural Network Journal
Associate Editor, ACM Transactions on Knowledge Discovery in Data (ACM TKDD)



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, web intelligence, data mining, and multimedia information processing. In these research areas, he has over 300 technical publications in journals and conferences. He is an Associate Editor of the Journal of Neural Networks (NN). He is an IEEE Fellow, an ACM Distinguished Member, and a Fellow of Hong Kong Institute of Engineers (HKIE). He has served as the President of the International Neural Network Society (INNS), General Co-chair of The WebConf 2020, ICONIP 2020, WSDM 2011, RecSys 2013, ACML 2015, and in various capacities in a number of top conferences and societies such as WWW, NIPS, ICML, IJCAI, AAAI, APNNS, etc. He is the recipient of the ACM CIKM2019 Test of Time Award, the ACM SIGIR 2020 Test of Time Award, and 2020 APNNS Outstanding Achievement Award for his contributions made in social computing with machine learning. In early 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 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.



Top Cited Publications
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)


Recent Publications
Wang Chen, Hou Pong Chan, Piji Li, Irwin King: Exclusive Hierarchical Decoding for Deep Keyphrase Generation. ACL 2020: 1095-1105 (electronic edition @ aclweb.org (open access))
Yankai Chen, Jie Zhang, Yixiang Fang, Xin Cao, Irwin King: Efficient Community Search over Large Directed Graph: An Augmented Index-based Approach. IJCAI 2020: 3544-3550 (electronic edition via DOI (open access))
Xinyu Fu, Jiani Zhang, Ziqiao Meng, Irwin King: MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding. WWW 2020: 2331-2341 (electronic edition via DOI)
Haoli Bai, Jiaxiang Wu, Irwin King, Michael R. Lyu: Few Shot Network Compression via Cross Distillation. AAAI 2020: 3203-3210 (electronic edition @ aaai.org)
Wenxiang Jiao, Xing Wang, Shilin He, Irwin King, Michael R. Lyu, Zhaopeng Tu: Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation. EMNLP (1) 2020: 2255-2266 (electronic edition @ aclweb.org (open access))


Achievements and Awards
2020 Asia Pacific Neural Network Society (APNNS) Outstanding Achievement Award, International Conference on Neural Information Processing (ICONIP 2020), November 18-22, Bangkok, Thailand (https://www.apnns.org/awards/)
Global AI 2000 List, AI 2000 Most Influential Scholars (https://www.aminer.org/ai2000) for #34 in AAAI/IJCAI; #44 in Information Retrieval and Recommendation; #56 in Data Mining. CUHK CPRO (?https://www.cpr.cuhk.edu.hk/en/press_detail.php?id=3236?).
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 (?https:https://sigir.org/awards/test-of-time-awards/?).
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 (?http://www.cikmconference.org/cikmToTA.html?).
Vannevar Bush Best Paper Award?for Hongbo Deng, Jiawei Han, Michael R. Lyu, and Irwin King. Modeling and Exploiting Heterogeneous Bibliographic Networks for Expertise Ranking, Joint Conference on Digital Libraries (JCDL2012), Washington D.C., USA, June 2012. (?https://www.jcdl.org/awards.php?)