World's Best Scientists 2026 revealed!
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Computer Science
China
2025

D-Index & Metrics

Computer Science

D-Index
85
Citations
31754
World Ranking
799
National Ranking
121

Research.com Recognitions

  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2019 - ACM Senior Member
  • 2019 - ACM Distinguished Member
  • 2019 - IEEE Fellow For contributions to the theory and applications of machine learning in social computing

Overview

Irwin King is affiliated with the Chinese University of Hong Kong in China. Their research primarily focuses on computer science, with a substantial body of work covering various subfields such as artificial intelligence, computer vision and pattern recognition, molecular biology, information systems, and signal processing.

The scientist's publications encompass a broad range of topics, including:

  • Topic Modeling
  • Advanced Graph Neural Networks
  • Natural Language Processing Techniques
  • Recommender Systems and Techniques
  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Speech and Dialogue Systems

Irwin King's frequently published venues illustrate the dissemination channels for their work, which include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Knowledge and Data Engineering
  • Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  • Knowledge-Based Systems

Recent significant papers authored or co-authored by Irwin King include:

  • "A Survey on Deep Semi-Supervised Learning" (2022), published in IEEE Transactions on Knowledge and Data Engineering
  • "Fused Matrix Factorization with Geographical and Social Influence in Location-Based Social Networks" (2021), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Graph-Based Semi-Supervised Learning: A Comprehensive Review" (2022), published in IEEE Transactions on Neural Networks and Learning Systems
  • "A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection" (2024), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Interpretable RNA Foundation Model from Unannotated Data for Highly Accurate RNA Structure and Function Predictions" (2022), published in bioRxiv (Cold Spring Harbor Laboratory)

Irwin King has collaborated extensively with a number of co-authors, with frequent partnerships including:

  • Michael R. Lyu
  • Yankai Chen
  • Zenglin Xu
  • Yifei Zhang
  • Zixing Song

In addition to journal and conference publications, Irwin King has contributed to book publications. One such contribution is the book titled Neural Information Processing, published by Springer Science+Business Media in 2020.

The professional recognitions received by Irwin King include distinctions such as:

  • ACM Senior Member (2019)
  • ACM Distinguished Member (2019)
  • IEEE Fellow (2019) for contributions to the theory and applications of machine learning in social computing

Best Publications

  • Recommender systems with social regularization

    Hao Ma;Dengyong Zhou;Chao Liu;Michael R. Lyu

  • SoRec: social recommendation using probabilistic matrix factorization

    Hao Ma;Haixuan Yang;Michael R. Lyu;Irwin King

  • Learning to recommend with social trust ensemble

    Hao Ma;Irwin King;Michael R. Lyu

  • QoS-Aware Web Service Recommendation by Collaborative Filtering

    Zibin Zheng;Hao Ma;M R Lyu;I King

  • A Survey on Deep Semi-Supervised Learning

    Unknown

  • MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding

    Xinyu Fu;Jiani Zhang;Ziqiao Meng;Irwin King

  • Dynamic Key-Value Memory Networks for Knowledge Tracing

    Jiani Zhang;Xingjian Shi;Irwin King;Dit-Yan Yeung

  • Fused matrix factorization with geographical and social influence in location-based social networks

    Chen Cheng;Haiqin Yang;Irwin King;Michael R. Lyu

  • Effective missing data prediction for collaborative filtering

    Hao Ma;Irwin King;Michael R. Lyu

  • WSRec: A Collaborative Filtering Based Web Service Recommender System

    Zibin Zheng;Hao Ma;Michael R. Lyu;Irwin King

  • Where you like to go next: successive point-of-interest recommendation

    Chen Cheng;Haiqin Yang;Michael R. Lyu;Irwin King

  • A Survey of Crowdsourcing Systems

    Man-Ching Yuen;Irwin King;Kwong-Sak Leung

  • Collaborative Web Service QoS Prediction via Neighborhood Integrated Matrix Factorization

    Zibin Zheng;Hao Ma;M. R. Lyu;Irwin King

  • GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs

    Jiani Zhang;Xingjian Shi;Junyuan Xie;Hao Ma

  • Discriminative Semi-Supervised Feature Selection Via Manifold Regularization

    Zenglin Xu;Irwin King;Michael Rung-Tsong Lyu;Rong Jin

  • Leveraging Social Connections to Improve Personalized Ranking for Collaborative Filtering

    Tong Zhao;Julian McAuley;Irwin King

  • Ratings meet reviews, a combined approach to recommend

    Guang Ling;Michael R. Lyu;Irwin King

  • Mining social networks using heat diffusion processes for marketing candidates selection

    Hao Ma;Haixuan Yang;Michael R. Lyu;Irwin King

  • Simple and Efficient Multiple Kernel Learning by Group Lasso

    Zenglin Xu;Rong Jin;Haiqin Yang;Irwin King

  • SelFlow: Self-Supervised Learning of Optical Flow

    Pengpeng Liu;Michael Lyu;Irwin King;Jia Xu

  • Discriminative semi-supervised feature selection via manifold regularization

    Zenglin Xu;Rong Jin;Michael R. Lyu;Irwin King

Frequent Co-Authors

Michael R. Lyu
Michael R. Lyu Chinese University of Hong Kong
Kaizhu Huang
Kaizhu Huang Duke Kunshan University
Zenglin Xu
Zenglin Xu Harbin Institute of Technology
Hao Ma
Hao Ma Facebook (United States)
Rong Jin
Rong Jin Alibaba Group (China)
Kwong-Sak Leung
Kwong-Sak Leung Chinese University of Hong Kong
Jianke Zhu
Jianke Zhu Zhejiang University
Feng Xia
Feng Xia RMIT University
Kuan-Ta Chen
Kuan-Ta Chen Academia Sinica
Huan Liu
Huan Liu Arizona State University

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