World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
71
Citations
21508
World Ranking
1769
National Ranking
242

Overview

Wei-Shi Zheng is affiliated with Sun Yat-sen University in China and has contributed extensively to the field of computer science, particularly within computer vision and pattern recognition. Their research spans several subfields including artificial intelligence, biomedical engineering, radiology, nuclear medicine and imaging, as well as control and systems engineering.

The scientist's notable recent papers include:

  • DilateFormer: Multi-Scale Dilated Transformer for Visual Recognition, 2023, IEEE Transactions on Multimedia
  • Spectral-Spatial Transformer Network for Hyperspectral Image Classification: A Factorized Architecture Search Framework, 2021, IEEE Transactions on Geoscience and Remote Sensing
  • RGB-IR Person Re-identification by Cross-Modality Similarity Preservation, 2020, International Journal of Computer Vision
  • Viewpoint-Aware Loss with Angular Regularization for Person Re-Identification, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Layer-by-layer coating of carboxymethyl chitosan-gelatin-alginate on cotton gauze for hemostasis and wound healing, 2020, Surface and Coatings Technology

Key topics addressed in their body of work include:

  • Human Pose and Action Recognition
  • Video Surveillance and Tracking Methods
  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Anomaly Detection Techniques and Applications
  • Advanced Neural Network Applications
  • Gait Recognition and Analysis

Wei-Shi Zheng has published extensively in the following venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Multimedia
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Circuits and Systems for Video Technology

Frequent collaborators include:

  • Ruixuan Wang
  • Kun-Yu Lin
  • Ancong Wu
  • Jianhuang Lai
  • Jingke Meng

Wei-Shi Zheng has contributed to 12 book publications under Springer Science+Business Media, all titled "Pattern Recognition and Computer Vision" in 2023.

Their research focuses heavily on the development and application of advanced techniques in machine learning and computer vision, with particular emphasis on recognition, surveillance, and image classification methodologies.

Best Publications

  • Underexposed Photo Enhancement Using Deep Illumination Estimation

    Ruixing Wang;Qing Zhang;Chi-Wing Fu;Xiaoyong Shen

  • Person re-identification by probabilistic relative distance comparison

    Wei-Shi Zheng;Shaogang Gong;Tao Xiang

  • Reidentification by Relative Distance Comparison

    Wei-Shi Zheng;Shaogang Gong;Tao Xiang

  • Person Re-Identification by Support Vector Ranking

    Bryan James Prosser;Wei-Shi Zheng;Shaogang Gong;Tao Xiang

  • RGB-Infrared Cross-Modality Person Re-identification

    Ancong Wu;Wei-Shi Zheng;Hong-Xing Yu;Shaogang Gong

  • Maximum Correntropy Criterion for Robust Face Recognition

    Ran He;Wei-Shi Zheng;Bao-Gang Hu

  • Associating Groups of People

    Wei-Shi Zheng;Shaogang Gong;Tao Xiang

  • Jointly learning heterogeneous features for RGB-D activity recognition

    Jian-Fang Hu;Wei-Shi Zheng;Jianhuang Lai;Jianguo Zhang

  • Unsupervised Person Re-Identification by Soft Multilabel Learning

    Hong-Xing Yu;Wei-Shi Zheng;Ancong Wu;Xiaowei Guo

  • Robust Principal Component Analysis Based on Maximum Correntropy Criterion

    Ran He;Bao-Gang Hu;Wei-Shi Zheng;Xiang-Wei Kong

  • Person Re-Identification by Camera Correlation Aware Feature Augmentation

    Ying-Cong Chen;Xiatian Zhu;Wei-Shi Zheng;Jian-Huang Lai

  • Half-Quadratic-Based Iterative Minimization for Robust Sparse Representation

    Ran He;Wei-Shi Zheng;Tieniu Tan;Zhenan Sun

  • Embedding Deep Metric for Person Re-identification: A Study Against Large Variations

    Hailin Shi;Yang Yang;Xiangyu Zhu;Shengcai Liao

  • Cross-View Asymmetric Metric Learning for Unsupervised Person Re-Identification

    Hong-Xing Yu;Ancong Wu;Wei-Shi Zheng

  • Squeeze-and-Attention Networks for Semantic Segmentation

    Zilong Zhong;Zhong Qiu Lin;Rene Bidart;Xiaodan Hu

  • Partial Person Re-Identification

    Wei-Shi Zheng;Xiang Li;Tao Xiang;Shengcai Liao

  • An enhanced deep feature representation for person re-identification

    Shangxuan Wu;Ying-Cong Chen;Xiang Li;An-Cong Wu

  • MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection

    Jia-Chang Feng;Fa-Ting Hong;Wei-Shi Zheng

  • Top-Push Video-Based Person Re-identification

    Jinjie You;Ancong Wu;Xiang Li;Wei-Shi Zheng

  • Fully convolutional network ensembles for white matter hyperintensities segmentation in MR images.

    Hongwei Li;Gongfa Jiang;Jianguo Zhang;Ruixuan Wang

  • Patch-Based Discriminative Feature Learning for Unsupervised Person Re-Identification

    Qize Yang;Hong-Xing Yu;Ancong Wu;Wei-Shi Zheng

  • Embedding Deep Metric for Person Re-identication A Study Against Large Variations

    Hailin Shi;Yang Yang;Xiangyu Zhu;Shengcai Liao

Frequent Co-Authors

Jianhuang Lai
Jianhuang Lai Sun Yat-sen University
Shaogang Gong
Shaogang Gong Queen Mary University of London
Jianguo Zhang
Jianguo Zhang Southern University of Science and Technology
Ran He
Ran He Chinese Academy of Sciences
Pong C. Yuen
Pong C. Yuen Hong Kong Baptist University
Qing Zhang
Qing Zhang Nanyang Technological University
Bao-Gang Hu
Bao-Gang Hu Chinese Academy of Sciences
Stan Z. Li
Stan Z. Li Westlake University
Feiyue Huang
Feiyue Huang Tencent (China)
Meng Yang
Meng Yang Sun Yat-sen University

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