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Computer Science

D-Index
41
Citations
12440
World Ranking
8614
National Ranking
1122

Overview

Hengshu Zhu is affiliated with the Hong Kong University of Science and Technology in China and has a research focus centered primarily in the field of Computer Science. Within this broad area, their work spans several specialized subfields including Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Organizational Behavior and Human Resource Management, and Transportation.

Their research topics reflect a concentration on several advanced domains:

  • Recommender Systems and Techniques
  • Topic Modeling
  • Advanced Graph Neural Networks
  • Multimodal Machine Learning Applications
  • Human Mobility and Location-Based Analysis
  • Natural Language Processing Techniques
  • Domain Adaptation and Few-Shot Learning

Hengshu Zhu has contributed to a significant number of recent publications. Notable papers include:

  • "A Comprehensive Survey on Transfer Learning" (2020) published in Proceedings of the IEEE
  • "A Survey on Knowledge Graph-Based Recommender Systems" (2020) published in IEEE Transactions on Knowledge and Data Engineering
  • "A survey on large language models for recommendation" (2024) published in World Wide Web
  • "Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion" (2020) published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "An Enhanced Neural Network Approach to Person-Job Fit in Talent Recruitment" (2020) published in ACM Transactions on Information Systems

The venues where Hengshu Zhu frequently publishes reinforce their research focus and include:

  • arXiv (Cornell University)
  • IEEE Transactions on Knowledge and Data Engineering
  • ACM Transactions on Information Systems
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • ACM Transactions on Management Information Systems

In collaboration, Hengshu Zhu works with several coauthors across multiple projects. Frequent collaborators include Hui Xiong, Chuan Qin, Enhong Chen, Fuzhen Zhuang, and Dazhong Shen.

Best Publications

  • A Comprehensive Survey on Transfer Learning

    Fuzhen Zhuang;Zhiyuan Qi;Keyu Duan;Dongbo Xi

  • A Survey on Knowledge Graph-Based Recommender Systems

    Qingyu Guo;Fuzhen Zhuang;Chuan Qin;Hengshu Zhu

  • Point-of-Interest Recommendations: Learning Potential Check-ins from Friends

    Huayu Li;Yong Ge;Richang Hong;Hengshu Zhu

  • A cost-effective recommender system for taxi drivers

    Meng Qu;Hengshu Zhu;Junming Liu;Guannan Liu

  • Mobile app recommendations with security and privacy awareness

    Hengshu Zhu;Hui Xiong;Yong Ge;Enhong Chen

  • Mining Mobile User Preferences for Personalized Context-Aware Recommendation

    Hengshu Zhu;Enhong Chen;Hui Xiong;Kuifei Yu

  • Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion

    Zhao Zhang;Fuzhen Zhuang;Hengshu Zhu;Zhiping Shi

  • Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach

    Chuan Qin;Hengshu Zhu;Tong Xu;Chen Zhu

  • Person-Job Fit: Adapting the Right Talent for the Right Job with Joint Representation Learning

    Chen Zhu;Hengshu Zhu;Hui Xiong;Chao Ma

  • Discovery of Ranking Fraud for Mobile Apps

    Hengshu Zhu;Hui Xiong;Yong Ge;Enhong Chen

  • An Enhanced Neural Network Approach to Person-Job Fit in Talent Recruitment

    Chuan Qin;Hengshu Zhu;Tong Xu;Chen Zhu

  • Mobile App Classification with Enriched Contextual Information

    Hengshu Zhu;Enhong Chen;Hui Xiong;Huanhuan Cao

  • Mining Personal Context-Aware Preferences for Mobile Users

    Hengshu Zhu;Enhong Chen;Kuifei Yu;Huanhuan Cao

  • Ranking user authority with relevant knowledge categories for expert finding

    Hengshu Zhu;Enhong Chen;Hui Xiong;Huanhuan Cao

  • Towards personalized context-aware recommendation by mining context logs through topic models

    Kuifei Yu;Baoxian Zhang;Hengshu Zhu;Huanhuan Cao

  • Prospecting the Career Development of Talents: A Survival Analysis Perspective

    Huayu Li;Yong Ge;Hengshu Zhu;Hui Xiong

  • A Survey on Large Language Models for Recommendation

    Unknown

  • Exploiting enriched contextual information for mobile app classification

    Hengshu Zhu;Huanhuan Cao;Enhong Chen;Hui Xiong

  • Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks

    Jindong Han;Hao Liu;Hengshu Zhu;Hui Xiong

  • Talent Circle Detection in Job Transition Networks

    Huang Xu;Zhiwen Yu;Jingyuan Yang;Hui Xiong

  • Point-of-Interest Demand Modeling with Human Mobility Patterns

    Yanchi Liu;Chuanren Liu;Xinjiang Lu;Mingfei Teng

  • Recruitment Market Trend Analysis with Sequential Latent Variable Models

    Chen Zhu;Hengshu Zhu;Hui Xiong;Pengliang Ding

Frequent Co-Authors

Hui Xiong
Hui Xiong Rutgers, The State University of New Jersey
Enhong Chen
Enhong Chen University of Science and Technology of China
Fuzhen Zhuang
Fuzhen Zhuang Beihang University
Qing He
Qing He University of Chinese Academy of Sciences
Yong Ge
Yong Ge University of Arizona
Qi Liu
Qi Liu University of Science and Technology of China
Junjie Wu
Junjie Wu Beihang University
Hao Lin
Hao Lin University of Electronic Science and Technology of China
Zhiwen Yu
Zhiwen Yu Northwestern Polytechnical University
Bin Guo
Bin Guo Northwestern Polytechnical University

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