World's Best Scientists 2026 revealed!
Dawei Yin

Dawei Yin

D-Index & Metrics

Computer Science

D-Index
49
Citations
10251
World Ranking
5861
National Ranking
780

Overview

Dawei Yin is affiliated with Baidu in China and has a prolific research record spanning engineering and computer science. Their work bridges multiple interdisciplinary areas with a focus on both theoretical and applied studies.

Their main fields of study include:

  • Engineering
  • Computer Science

Subfields of research cover:

  • Artificial Intelligence
  • Mechanics of Materials
  • Civil and Structural Engineering
  • Computer Vision and Pattern Recognition
  • Ocean Engineering

Dawei Yin's research topics prominently involve:

  • Rock Mechanics and Modeling
  • Topic Modeling
  • Natural Language Processing Techniques
  • Geomechanics and Mining Engineering
  • Landslides and related hazards
  • Multimodal Machine Learning Applications
  • Advanced Graph Neural Networks

The scientist has frequently published in the following venues:

  • arXiv (Cornell University)
  • Sustainability
  • Journal of Materials Research and Technology
  • Advances in Civil Engineering
  • Journal of Central South University

Recent publications include:

  • "Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs," 2024, ACM SIGKDD Explorations Newsletter
  • "Effects of red mud additions on gangue-cemented paste backfill properties," 2020, Powder Technology
  • "Modeling study on the influence of the strip filling mining sequence on mining-induced failure," 2020, Energy Science & Engineering
  • "Numerical study on strength and failure characteristics of rock samples with different hole defects," 2020, Bulletin of Engineering Geology and the Environment
  • "Mechanical properties of rock-coal bi-material samples with different lithologies under uniaxial loading," 2020, Journal of Materials Research and Technology

The scientist collaborates regularly with a number of coauthors, including:

  • Shuaiqiang Wang
  • Shaojie Chen
  • Ning Jiang
  • Zhicong Cheng
  • Faxin Li

Best Publications

  • Graph Neural Networks for Social Recommendation

    Wenqi Fan;Yao Ma;Qing Li;Yuan He

  • A Survey on Dialogue Systems: Recent Advances and New Frontiers

    Hongshen Chen;Xiaorui Liu;Dawei Yin;Jiliang Tang

  • Detection of Harassment on Web 2.0

    Dawei Yin;Zhenzhen Xue;Liangjie Hong;Brian D. Davison

  • Deep reinforcement learning for page-wise recommendations

    Xiangyu Zhao;Long Xia;Liang Zhang;Zhuoye Ding

  • Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning

    Xiangyu Zhao;Liang Zhang;Zhuoye Ding;Long Xia

  • GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks

    Qiang Huang;Makoto Yamada;Yuan Tian;Dinesh Singh

  • Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures

    Wenqiang Lei;Xisen Jin;Min-Yen Kan;Zhaochun Ren

  • Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems

    Lixin Zou;Long Xia;Zhuoye Ding;Jiaxing Song

  • A Graph Neural Network Framework for Social Recommendations

    Wenqi Fan;Yao Ma;Qing Li;Jianping Wang

  • Streaming Graph Neural Networks

    Yao Ma;Ziyi Guo;Zhaocun Ren;Jiliang Tang

  • Knowledge Diffusion for Neural Dialogue Generation

    Shuman Liu;Hongshen Chen;Zhaochun Ren;Yang Feng

  • Streaming Recommender Systems

    Shiyu Chang;Yang Zhang;Jiliang Tang;Dawei Yin

  • Ranking Relevance in Yahoo Search

    Dawei Yin;Yuening Hu;Jiliang Tang;Tim Daly

  • Micro Behaviors: A New Perspective in E-commerce Recommender Systems

    Meizi Zhou;Zhuoye Ding;Jiliang Tang;Dawei Yin

  • Deep Reinforcement Learning for List-wise Recommendations

    Xiangyu Zhao;Liang Zhang;Zhuoye Ding;Dawei Yin

  • Neural Interactive Collaborative Filtering

    Lixin Zou;Long Xia;Yulong Gu;Xiangyu Zhao

  • Multi-dimensional graph convolutional networks

    Yao Ma;Suhang Wang;Charu C. Aggarwal;Dawei Yin

  • Normalizing microtext

    Zhenzhen Xue;Dawei Yin;Brian D. Davison

  • Pseudo Dyna-Q: A Reinforcement Learning Framework for Interactive Recommendation

    Lixin Zou;Long Xia;Pan Du;Zhuo Zhang

  • Structural link analysis and prediction in microblogs

    Dawei Yin;Liangjie Hong;Brian D. Davison

  • Recommendation with social dimensions

    Jiliang Tang;Suhang Wang;Xia Hu;Dawei Yin

Frequent Co-Authors

Jiliang Tang
Jiliang Tang Michigan State University
Yi Chang
Yi Chang Jilin University
Brian D. Davison
Brian D. Davison Lehigh University
Yanyan Lan
Yanyan Lan Chinese Academy of Sciences
Xiangnan He
Xiangnan He University of Science and Technology of China
Qing Li
Qing Li Hong Kong Polytechnic University
Shiyu Chang
Shiyu Chang University of California, Santa Barbara
Suhang Wang
Suhang Wang Pennsylvania State University
Maarten de Rijke
Maarten de Rijke University of Amsterdam
Jianping Wang
Jianping Wang City University of Hong Kong

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