Announcements

Moderated by Prof. Irwin King, our panelists will delve into the ethical considerations surrounding generative AI, examining its impact on society and exploring ways to ensure that it is used responsibly.

Join us for an engaging and thought-provoking discussion on the future of generative AI, and its potential to shape the future of education in both positive and negative ways. This event is open to teachers, students, and anyone interested in the ethical implications of this revolutionary technology.

More info and registration link

About Our Group

The Machine Intelligence and Social Computing (MISC) Lab is led by Prof. Irwin King. We focus on fundamental as well as applied computational techniques for the collaborative and collective intelligence of group behaviors on the Internet. Our research topics include, but are not limited to:

  • Web intelligence, web data mining, knowledge discovery on the web, web analytics, web information retrieval
  • Learning to rank, ranking algorithms, relevance feedback, collaborative filtering, recommender systems 
  • Human/social computation, social games, opinion mining, sentiment analysis, models and theories about social networks, social marketing, monetization of the web
  • Large graph and link-based algorithms
  • Security/privacy issues related to web intelligence and social computing, etc.

Research Interests

Artificial Intelligence in Healthcare

Artificial intelligence in healthcare is an overarching term used to describe the use of machine-learning algorithms and software, or artificial intelligence (AI)

Machine Learning on Graphs

Network science studies networks such as telecommunication networks, computer networks, biological networks and semantic networks.

Natural Language Processing

NLP is a subfield of linguistics, computer science, and artificial intelligence concerned with the interactions between computers and human language

Recent Publications

Graph Component Contrastive Learning for Concept Relatedness Estimation

Yueen Ma, Zixing Song, Xuming Hu, Jingjing Li, Yifei Zhang, Irwin King

COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning

Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King

Spectral Feature Augmentation for Graph Contrastive Learning and Beyond

Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King

Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation

Yankai Chen, Yaming Yang, Yujing Wang, Jing Bai, Xiangchen Song, Irwin King

Principal Investigator

Irwin King

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

Call: +(852) 3943 8398

Email: king@cse.cuhk.edu.hk

Irwin King

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

Department of Computer Science and Engineering The Chinese University of Hong Kong


Download Full CV

Biography

Professor Irwin King is a distinguished scholar in machine intelligence, currently serving as the Chair and Professor of Computer Science & Engineering at The Chinese University of Hong Kong. 

With a broad range of research interests covering areas such as machine learning, social computing, AI, and data mining, Professor King is a Fellow of prestigious societies and associations, including the IEEE, INNS, AAIA, HKIE, and ACM Distinguished Member. 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 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.

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).

Current Students

Zhihang Hu

Ph.D. Student

Conghao Xiong

Ph.D. Student

Yueen Ma

PhD. Student

Zexuan Qiu

Ph.D. Student

Yixuan Wang

Ph.D. Student

Zhihan Guo

Ph.D. Student

Muzhi Li

Ph.D. Student

Jiahong Liu

Ph.D. Student

Minda Hu

Ph.D. Student

Wenqian Cui

Ph.D. Student

Xinni Zhang

Ph.D. Student

Dianzhi Yu

Ph.D. Student

Wenhao Yu

Ph.D. Student

Yifan Li

Ph.D. Student

Terrence Ng

M.Phil. Student

Ziqian Lin

Ph.D. Student