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

D-Index & Metrics

Computer Science

D-Index
90
Citations
42856
World Ranking
599
National Ranking
84

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award

Overview

Yong Yu is affiliated with Shanghai Jiao Tong University in China and has contributed extensively to the field of computer science. Their work encompasses a wide range of subfields, especially in artificial intelligence and information systems, with significant publications also in computer vision and pattern recognition, management science and operations research, and computer science applications.

Their research topics include:

  • Recommender Systems and Techniques
  • Topic Modeling
  • Advanced Graph Neural Networks
  • Reinforcement Learning in Robotics
  • Online Learning and Analytics
  • Natural Language Processing Techniques
  • Advanced Bandit Algorithms Research

Yong Yu has published in numerous venues, showing a strong presence in both conferences and journals. Frequent publication venues include:

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

Key recent papers by Yong Yu cover a variety of topics such as urban traffic prediction, neural machine translation, recommender systems, knowledge tracing, and optimization in mixed-integer programming. Notable papers include:

  • "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
  • "How Can Recommender Systems Benefit from Large Language Models: A Survey," 2024, ACM Transactions on Information Systems
  • "Improving Knowledge Tracing with Collaborative Information," 2022, Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining
  • "Learning to select cuts for efficient mixed-integer programming," 2021, Pattern Recognition

Yong Yu frequently collaborates with other researchers. Top co-authors include:

  • Weinan Zhang
  • Ruiming Tang
  • Weiwen Liu
  • Jianghao Lin
  • Xinyi Dai

The scientist's primary field is computer science, with 260 publications, reflecting a broad and deep engagement in this area.

Best Publications

  • Robust Recovery of Subspace Structures by Low-Rank Representation

    Guangcan Liu;Zhouchen Lin;Shuicheng Yan;Ju Sun

  • Seqgan: sequence generative adversarial nets with policy gradient

    Lantao Yu;Weinan Zhang;Jun Wang;Yong Yu

  • Boosting for transfer learning

    Wenyuan Dai;Qiang Yang;Gui-Rong Xue;Yong Yu

  • EigenTransfer: a unified framework for transfer learning

    Wenyuan Dai;Ou Jin;Gui-Rong Xue;Qiang Yang

  • Robust Subspace Segmentation by Low-Rank Representation

    Guangcan Liu;Zhouchen Lin;Yong Yu

  • Scalable collaborative filtering using cluster-based smoothing

    Gui-Rong Xue;Chenxi Lin;Qiang Yang;WenSi Xi

  • Wasserstein Distance Guided Representation Learning for Domain Adaptation

    Jian Shen;Yanru Qu;Weinan Zhang;Yong Yu

  • Optimizing web search using social annotations

    Shenghua Bao;Guirong Xue;Xiaoyuan Wu;Yong Yu

  • The Effect of Mandatory IFRS Adoption on Financial Analysts’ Information Environment

    Donal Byard;Ying Li;Yong Yu

  • Product-Based Neural Networks for User Response Prediction

    Yanru Qu;Han Cai;Kan Ren;Weinan Zhang

  • The Effect of Issuing Biased Earnings Forecasts on Analysts' Access to Management and Survival

    Bin Ke;Yong Yu

  • Exploring social annotations for the semantic web

    Xian Wu;Lei Zhang;Yong Yu

  • 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

  • Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning

    Zheyi Pan;Yuxuan Liang;Weifeng Wang;Yong Yu

  • Transferring naive bayes classifiers for text classification

    Wenyuan Dai;Gui-Rong Xue;Qiang Yang;Yong Yu

  • Texygen: A Benchmarking Platform for Text Generation Models

    Yaoming Zhu;Sidi Lu;Lei Zheng;Jiaxian Guo

  • Co-clustering based classification for out-of-domain documents

    Wenyuan Dai;Gui-Rong Xue;Qiang Yang;Yong Yu

  • Heterogeneous transfer learning for image classification

    Yin Zhu;Yuqiang Chen;Zhongqi Lu;Sinno Jialin Pan

  • Exploring folksonomy for personalized search

    Shengliang Xu;Shenghua Bao;Ben Fei;Zhong Su

  • The Effect of Mandatory IFRS Adoption on Financial Analysts’ Information Environment

    Donal Byard;Ying Li Compton;Ying Li Compton;Ying Li Compton;Yong Yu

Frequent Co-Authors

Weinan Zhang
Weinan Zhang Shanghai Jiao Tong University
Gui-Rong Xue
Gui-Rong Xue Alibaba Group (China)
Qiang Yang
Qiang Yang Hong Kong University of Science and Technology
Zhong Su
Zhong Su Alibaba Group (China)
Zheng Chen
Zheng Chen Microsoft Research Asia (China)
Hua-Jun Zeng
Hua-Jun Zeng Rulai, Inc.
Guangcan Liu
Guangcan Liu Southeast University
Xiuqiang He
Xiuqiang He Huawei Technologies (China)
Hsiao-Wuen Hon
Hsiao-Wuen Hon Microsoft Research Asia (China)
Wei-Ying Ma
Wei-Ying Ma Tsinghua University

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