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D-Index & Metrics

Computer Science

D-Index
67
Citations
15370
World Ranking
2220
National Ranking
39

Overview

Jie Zhang is a researcher affiliated with Nanyang Technological University in Singapore, specializing in computer science with a focus on information systems and artificial intelligence. Their work spans multiple subfields including computer vision and pattern recognition, management science and operations research, and electrical and electronic engineering.

The research contributions of Jie Zhang center predominantly on recommender systems and techniques, with significant involvement in advanced graph neural networks and advanced bandit algorithms research. Additional topics covered in their work include image and video quality assessment, mental health via writing, stochastic gradient optimization techniques, and topic modeling.

Their recent publications reflect a strong presence in both conference proceedings and journals related to artificial intelligence and information systems. Notable papers include:

  • An Attentional Recurrent Neural Network for Personalized Next Location Recommendation, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • SelfCF: A Simple Framework for Self-supervised Collaborative Filtering, 2023, ACM Transactions on Recommender Systems
  • A Critical Study on Data Leakage in Recommender System Offline Evaluation, 2022, ACM Transactions on Information Systems
  • A Social Network Based Approach to Personalized Recommendation of Participatory Media Content, 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • Multistage Competitive Opinion Maximization With Q-Learning-Based Method in Social Networks, 2024, IEEE Transactions on Neural Networks and Learning Systems

Jie Zhang frequently publishes in venues such as arXiv, ACM Transactions on Information Systems, IEEE Transactions on Neural Networks and Learning Systems, Applied Sciences, and the Proceedings of the AAAI Conference on Artificial Intelligence.

Collaboration is evident in Jie Zhang's work, with recurring coauthors including Zhu Sun, Aixin Sun, Yew-Soon Ong, Xin Zhou, and Hui Fang, highlighting a network of active research partnerships within the fields of computer science and information systems.

Best Publications

  • TrustSVD: collaborative filtering with both the explicit and implicit influence of user trust and of item ratings

    Guibing Guo;Jie Zhang;Neil Yorke-Smith

  • Digital Twins: State of the Art Theory and Practice, Challenges, and Open Research Questions.

    Angira Sharma;Edward Elson Kosasih;Jie Zhang;Alexandra Brintrup

  • Collaborative Security: A Survey and Taxonomy

    Guozhu Meng;Yang Liu;Jie Zhang;Alexander Pokluda

  • Consistencies and contradictions of performance metrics in multiobjective optimization.

    Siwei Jiang;Yew-Soon Ong;Jie Zhang;Liang Feng

  • Detecting Accounting Fraud in Publicly Traded U.S. Firms Using a Machine Learning Approach

    Yang Bao;Bin Ke;Bin Li;Y. Julia Yu

  • Recurrent knowledge graph embedding for effective recommendation

    Zhu Sun;Jie Yang;Jie Zhang;Alessandro Bozzon

  • TopicMF: simultaneously exploiting ratings and reviews for recommendation

    Yang Bao;Hui Fang;Jie Zhang

  • Merging trust in collaborative filtering to alleviate data sparsity and cold start

    Guibing Guo;Jie Zhang;Daniel Thalmann

  • A Survey on Trust Management for VANETs

    Jie Zhang

  • Learning Improvement Heuristics for Solving Routing Problems..

    Yaoxin Wu;Wen Song;Zhiguang Cao;Jie Zhang

  • A novel Bayesian similarity measure for recommender systems

    Guibing Guo;Jie Zhang;Neil Yorke-Smith

  • A Simple and Fast Hypervolume Indicator-Based Multiobjective Evolutionary Algorithm

    Siwei Jiang;Jie Zhang;Yew-Soon Ong;Allan N. Zhang

  • Librec: a Java library for recommender systems

    Guibing Guo;Jie Zhang;Zhu Sun;Neil Yorke-Smith

  • Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning

    Cong Zhang;Wen Song;Zhiguang Cao;Jie Zhang

  • A Reputation-Based Announcement Scheme for VANETs

    Qin Li;A. Malip;K. M. Martin;Siaw-Lynn Ng

  • A Novel Recommendation Model Regularized with User Trust and Item Ratings

    Guibing Guo;Jie Zhang;Neil Yorke-Smith

  • A Unified Framework for Vehicle Rerouting and Traffic Light Control to Reduce Traffic Congestion

    Zhiguang Cao;Siwei Jiang;Jie Zhang;Hongliang Guo

  • Research commentary on recommendations with side information: A survey and research directions

    Zhu Sun;Qing Guo;Jie Yang;Hui Fang

  • Evaluating the trustworthiness of advice about seller agents in e-marketplaces: A personalized approach

    Jie Zhang;Robin Cohen

  • Uncovering collusive spammers in Chinese review websites

    Chang Xu;Jie Zhang;Kuiyu Chang;Chong Long

  • Leveraging multiviews of trust and similarity to enhance clustering-based recommender systems

    Guibing Guo;Jie Zhang;Neil Yorke-Smith

  • Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning

    Cong Zhang;Wen Song;Zhiguang Cao;Jie Zhang

Frequent Co-Authors

Robin Cohen
Robin Cohen University of Waterloo
Jingjing Chang
Jingjing Chang Xidian University
Julita Vassileva
Julita Vassileva University of Saskatchewan
Zhenhua Lin
Zhenhua Lin Xidian University
Ali A. Ghorbani
Ali A. Ghorbani University of New Brunswick
Yew-Soon Ong
Yew-Soon Ong Nanyang Technological University
Chunxiang Zhu
Chunxiang Zhu National University of Singapore
Aung Ko Ko Kyaw
Aung Ko Ko Kyaw Southern University of Science and Technology
Raouf Boutaba
Raouf Boutaba University of Waterloo
Chang Xu
Chang Xu University of Sydney

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