World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
66
Citations
22727
World Ranking
2279
National Ranking
313

Overview

Weinan Zhang is affiliated with Shanghai Jiao Tong University in China and has a research portfolio primarily centered in the field of Computer Science. Their work spans various subfields including Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Management Science and Operations Research, and Molecular Biology.

Their research topics cover a range of areas with a notable emphasis on Recommender Systems and Techniques, Topic Modeling, Reinforcement Learning in Robotics, Advanced Graph Neural Networks, Natural Language Processing Techniques, Advanced Bandit Algorithms Research, and Multimodal Machine Learning Applications.

Frequent coauthors in Weinan Zhang's work include:

  • Yong Yu
  • Ruiming Tang
  • Weiwen Liu
  • Yunjia Xi

Common publication venues where Weinan Zhang's research appears include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  • ACM Transactions on Information Systems
  • Frontiers of Computer Science

Representative recent papers authored include:

  • GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation, 2020, arXiv (Cornell University)
  • Spatio-Temporal Meta Learning for Urban Traffic Prediction, 2020, IEEE Transactions on Knowledge and Data Engineering
  • Towards Making the Most of BERT in Neural Machine Translation, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving, 2020, arXiv (Cornell University)
  • How Can Recommender Systems Benefit from Large Language Models: A Survey, 2024, ACM Transactions on Information Systems

Best Publications

  • Seqgan: sequence generative adversarial nets with policy gradient

    Lantao Yu;Weinan Zhang;Jun Wang;Yong Yu

  • Wasserstein Distance Guided Representation Learning for Domain Adaptation

    Jian Shen;Yanru Qu;Weinan Zhang;Yong Yu

  • IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models

    Jun Wang;Lantao Yu;Weinan Zhang;Yu Gong

  • Product-Based Neural Networks for User Response Prediction

    Yanru Qu;Han Cai;Kan Ren;Weinan Zhang

  • GraphGAN: Graph Representation Learning With Generative Adversarial Nets.

    Hongwei Wang;Jia Wang;Jialin Wang;Miao Zhao

  • Efficient Architecture Search by Network Transformation

    Han Cai;Tianyao Chen;Weinan Zhang;Yong Yu

  • Long Text Generation via Adversarial Training with Leaked Information

    Jiaxian Guo;Sidi Lu;Han Cai;Weinan Zhang

  • Deep Learning over Multi-field Categorical Data

    Weinan Zhang;Tianming Du;Jun Wang

  • Texygen: A Benchmarking Platform for Text Generation Models

    Yaoming Zhu;Sidi Lu;Lei Zheng;Jiaxian Guo

  • Mean Field Multi-Agent Reinforcement Learning

    Yaodong Yang;Rui Luo;Minne Li;Ming Zhou

  • CoLight: Learning Network-level Cooperation for Traffic Signal Control

    Hua Wei;Nan Xu;Huichu Zhang;Guanjie Zheng

  • Deep learning over Multi-Field categorical Data - A case study on user response prediction

    Weinan Zhang;Tianming Du;Jun Wang

  • Optimal real-time bidding for display advertising

    Weinan Zhang;Shuai Yuan;Jun Wang

  • Real-Time Bidding by Reinforcement Learning in Display Advertising

    Han Cai;Kan Ren;Weinan Zhang;Kleanthis Malialis

  • CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario

    Huichu Zhang;Siyuan Feng;Chang Liu;Yaoyao Ding

  • SVDFeature: a toolkit for feature-based collaborative filtering

    Tianqi Chen;Weinan Zhang;Qiuxia Lu;Kailong Chen

  • Optimizing top-n collaborative filtering via dynamic negative item sampling

    Weinan Zhang;Tianqi Chen;Jun Wang;Yong Yu

  • Product-Based Neural Networks for User Response Prediction over Multi-Field Categorical Data

    Yanru Qu;Bohui Fang;Weinan Zhang;Ruiming Tang

  • GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation

    Chence Shi;Minkai Xu;Zhaocheng Zhu;Weinan Zhang

  • Display Advertising with Real-Time Bidding (Rtb) and Behavioural Targeting

    Jun Wang;Weinan Zhang;Shuai Yuan

  • Interactive collaborative filtering

    Xiaoxue Zhao;Weinan Zhang;Jun Wang

  • Path-Level Network Transformation for Efficient Architecture Search.

    Han Cai;Jiacheng Yang;Weinan Zhang;Song Han

Frequent Co-Authors

Yong Yu
Yong Yu Shanghai Jiao Tong University
Xiuqiang He
Xiuqiang He Huawei Technologies (China)
Xinbing Wang
Xinbing Wang Shanghai Jiao Tong University
Alexander J. Smola
Alexander J. Smola Amazon (United States)
Jian Tang
Jian Tang Syracuse University
Joemon M. Jose
Joemon M. Jose University of Glasgow
Zheng Zhang
Zheng Zhang New York University Shanghai
Diyi Yang
Diyi Yang Stanford University
Zhenhui Li
Zhenhui Li Pennsylvania State University
Tie-Yan Liu
Tie-Yan Liu Microsoft (United States)

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