World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
30
Citations
3923
World Ranking
14092
National Ranking
1703

Overview

Yi-Dong Shen is affiliated with the Chinese Academy of Sciences in China and has contributed extensively to the field of computer science, particularly focusing on computer vision and pattern recognition, as well as artificial intelligence. Their research portfolio includes significant work in biomedical engineering, surgery, and automotive engineering, with a primary concentration on the development and application of advanced computational techniques.

The scientist's main areas of study include:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Biomedical Engineering
  • Surgery
  • Automotive Engineering

Yi-Dong Shen has addressed several core topics in the field, including:

  • Advanced Image and Video Retrieval Techniques
  • Multimodal Machine Learning Applications
  • Advanced Clustering Algorithms Research
  • Domain Adaptation and Few-Shot Learning
  • Face and Expression Recognition
  • Advanced Neural Network Applications
  • Logic, Reasoning, and Knowledge

Their scholarly output includes publications in prominent venues such as:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Neural Networks and Learning Systems
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • IEEE Transactions on Image Processing

Several notable papers authored or co-authored by Yi-Dong Shen include:

  • Self-Paced Clustering Ensemble, 2020, IEEE Transactions on Neural Networks and Learning Systems
  • Vision-Language Navigation with Random Environmental Mixup, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Unsupervised feature selection with adaptive multiple graph learning, 2020, Pattern Recognition
  • Efficient Token-Guided Image-Text Retrieval With Consistent Multimodal Contrastive Training, 2023, IEEE Transactions on Image Processing
  • Tri-level Robust Clustering Ensemble with Multiple Graph Learning, 2021, Proceedings of the AAAI Conference on Artificial Intelligence

Frequent collaborators in their research include Chong Liu, Peng Zhou, Liang Du, Xuejun Li, and Yuqi Zhang. The scientist's work has intersected with these co-authors across multiple joint publications, showing a pattern of ongoing academic partnerships.

Best Publications

  • Mining high utility itemsets

    Raymond Chan;Qiang Yang;Yi-Dong Shen

  • Dual-path Convolutional Image-Text Embeddings with Instance Loss

    Zhedong Zheng;Liang Zheng;Michael Garrett;Yi Yang

  • Unsupervised Feature Selection with Adaptive Structure Learning

    Liang Du;Yi-Dong Shen

  • Robust multiple kernel K-means using ℓ 2;1 -norm

    Liang Du;Peng Zhou;Lei Shi;Hanmo Wang

  • Automatic clustering using genetic algorithms

    Yongguo Liu;Xindong Wu;Yidong Shen

  • Person Reidentification via Multi-Feature Fusion With Adaptive Graph Learning

    Runwu Zhou;Xiaojun Chang;Lei Shi;Yi-Dong Shen

  • Robust Spectral Learning for Unsupervised Feature Selection

    Lei Shi;Liang Du;Yi-Dong Shen

  • End-to-End Adversarial-Attention Network for Multi-Modal Clustering

    Runwu Zhou;Yi-Dong Shen

  • Robust Nonnegative Matrix Factorization via Half-Quadratic Minimization

    Liang Du;Xuan Li;Yi-Dong Shen

  • RCAA: Relational Context-Aware Agents for Person Search

    Xiaojun Chang;Po-Yao Huang;Yi-Dong Shen;Xiaodan Liang

  • Implementation of a Linear Tabling Mechanism.

    Neng-Fa Zhou;Yi-Dong Shen;Li-Yan Yuan;Jia-Huai You

  • Objective-oriented utility-based association mining

    Yi-Dong Shen;Zhong Zhang;Qiang Yang

  • Dual-Path Convolutional Image-Text Embedding with Instance Loss

    Zhedong Zheng;Liang Zheng;Michael Garrett;Yi Yang

  • Self-Paced Clustering Ensemble

    Peng Zhou;Liang Du;Xinwang Liu;Yi-Dong Shen

  • Unity Style Transfer for Person Re-Identification

    Chong Liu;Xiaojun Chang;Yi-Dong Shen

  • City-Scale Multi-Camera Vehicle Tracking Guided by Crossroad Zones

    Chong Liu;Yuqi Zhang;Hao Luo;Jiasheng Tang

  • Unsupervised feature selection for balanced clustering

    Peng Zhou;Peng Zhou;Jiangyong Chen;Mingyu Fan;Liang Du

  • Vision-Language Navigation with Random Environmental Mixup

    Chong Liu;Fengda Zhu;Xiaojun Chang;Xiaodan Liang

  • Incremental multi-view spectral clustering

    Peng Zhou;Yi-Dong Shen;Liang Du;Fan Ye

  • Linear tabling strategies and optimizations

    Neng-fa Zhou;Taisuke Sato;Yi-dong Shen

  • Evaluating epistemic negation in answer set programming

    Yi-Dong Shen;Thomas Eiter

  • Unsupervised feature selection with adaptive multiple graph learning

    Peng Zhou;Peng Zhou;Liang Du;Xuejun Li;Yi-Dong Shen

  • Relational click prediction for sponsored search

    Chenyan Xiong;Taifeng Wang;Wenkui Ding;Yidong Shen

Frequent Co-Authors

Qiang Yang
Qiang Yang Hong Kong University of Science and Technology
Jeff Z. Pan
Jeff Z. Pan University of Edinburgh
Xiaodan Liang
Xiaodan Liang Sun Yat-sen University
Xindong Wu
Xindong Wu Hefei University of Technology
Liang Zheng
Liang Zheng Australian National University
Xiaojun Chang
Xiaojun Chang University of Technology Sydney
Hao Li
Hao Li University of California, Berkeley
Yuhua Qian
Yuhua Qian Shanxi University
Wei Xu
Wei Xu Horizon Robotics Inc.

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