World's Best Scientists 2026 revealed!
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Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
42
Citations
7414
World Ranking
556
National Ranking
192

Computer Science

D-Index
47
Citations
11087
World Ranking
6396
National Ranking
851

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Mang Ye is a researcher affiliated with Wuhan University in China, focusing primarily on the field of Computer Science. Their extensive body of work includes 261 publications, with particular emphasis on the subfields of Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Signal Processing, and Radiology, Nuclear Medicine and Imaging.

The main topics explored in their research reflect the interdisciplinary nature of their work and include:

  • Video Surveillance and Tracking Methods
  • Human Pose and Action Recognition
  • Privacy-Preserving Technologies in Data
  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Domain Adaptation and Few-Shot Learning
  • Face recognition and analysis

Mang Ye has contributed research published in a number of leading venues frequently, such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Information Forensics and Security
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Proceedings of the AAAI Conference on Artificial Intelligence

Their research output includes multiple papers with significant citation counts. Examples of recent works include:

  • Deep Learning for Person Re-Identification: A Survey and Outlook, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Heterogeneous Federated Learning: State-of-the-art and Research Challenges, 2023, ACM Computing Surveys
  • Channel Augmented Joint Learning for Visible-Infrared Recognition, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Visible-Infrared Person Re-Identification via Homogeneous Augmented Tri-Modal Learning, 2020, IEEE Transactions on Information Forensics and Security
  • Cross-Modality Person Re-Identification via Modality-Aware Collaborative Ensemble Learning, 2020, IEEE Transactions on Image Processing

Collaborative efforts are a consistent feature in Mang Ye's work. Frequent co-authors include:

  • Bo Du
  • Wenke Huang
  • Pong C. Yuen
  • Jianbing Shen
  • Xian Zhong

Best Publications

  • Deep Learning for Person Re-identification: A Survey and Outlook.

    Mang Ye;Jianbing Shen;Gaojie Lin;Tao Xiang

  • Unsupervised Embedding Learning via Invariant and Spreading Instance Feature

    Mang Ye;Xu Zhang;Pong C. Yuen;Shih-Fu Chang

  • Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-identification

    Mang Ye;Jianbing Shen;David J. Crandall;Ling Shao

  • Heterogeneous Federated Learning: State-of-the-art and Research Challenges

    Unknown

  • Hierarchical Discriminative Learning for Visible Thermal Person Re-Identification

    Mang Ye;Xiangyuan Lan;Jiawei Li;Pong Chi Yuen

  • Visible thermal person re-identification via dual-constrained top-ranking

    Mang Ye;Zheng Wang;Xiangyuan Lan;Pong Chi Yuen

  • Bi-Directional Center-Constrained Top-Ranking for Visible Thermal Person Re-Identification

    Mang Ye;Xiangyuan Lan;Zheng Wang;Pong C. Yuen

  • Channel Augmented Joint Learning for Visible-Infrared Recognition

    Mang Ye;Weijian Ruan;Bo Du;Mike Zheng Shou

  • A Survey of Open-World Person Re-Identification

    Qingming Leng;Mang Ye;Qi Tian

  • Learn from Others and Be Yourself in Heterogeneous Federated Learning

    Unknown

  • Structure-Aware Positional Transformer for Visible-Infrared Person Re-Identification

    Unknown

  • Visible-Infrared Person Re-Identification via Homogeneous Augmented Tri-Modal Learning

    Mang Ye;Jianbing Shen;Ling Shao

  • Cross-Modal Implicit Relation Reasoning and Aligning for Text-to-Image Person Retrieval

    Unknown

  • Person Reidentification via Ranking Aggregation of Similarity Pulling and Dissimilarity Pushing

    Mang Ye;Chao Liang;Yi Yu;Zheng Wang

  • Dynamic Label Graph Matching for Unsupervised Video Re-identification

    Mang Ye;Andy J. Ma;Liang Zheng;Jiawei Li

  • Robust Federated Learning with Noisy and Heterogeneous Clients

    Unknown

  • Cross-Modality Person Re-Identification via Modality Confusion and Center Aggregation

    Xin Hao;Sanyuan Zhao;Mang Ye;Jianbing Shen

  • Cross-Modality Person Re-Identification via Modality-Aware Collaborative Ensemble Learning

    Mang Ye;Xiangyuan Lan;Qingming Leng;Jianbing Shen

  • Zero-Shot Person Re-identification via Cross-View Consistency

    Zheng Wang;Ruimin Hu;Chao Liang;Yi Yu

  • Grayscale Enhancement Colorization Network for Visible-infrared Person Re-identification

    Xian Zhong;Tianyou Lu;Wenxin Huang;Mang Ye

  • Dynamic Graph Co-Matching for Unsupervised Video-Based Person Re-Identification

    Mang Ye;Jiawei Li;Andy J. Ma;Liang Zheng

  • Modality-correlation-aware sparse representation for RGB-infrared object tracking

    Xiangyuan Lan;Mang Ye;Shengping Zhang;Huiyu Zhou

  • Cascaded SR-GAN for Scale-Adaptive Low Resolution Person Re-identification.

    Zheng Wang;Mang Ye;Fan Yang;Xiang Bai

  • Learning Modality-Consistency Feature Templates: A Robust RGB-Infrared Tracking System

    Xiangyuan Lan;Mang Ye;Rui Shao;Bineng Zhong

  • Augmentation Invariant and Instance Spreading Feature for Softmax Embedding

    Mang Ye;Jianbing Shen;Xu Zhang;Pong C Yuen

  • DATA-GRU: Dual-Attention Time-Aware Gated Recurrent Unit for Irregular Multivariate Time Series

    Qingxiong Tan;Mang Ye;Baoyao Yang;Siqi Liu

Frequent Co-Authors

Pong C. Yuen
Pong C. Yuen Hong Kong Baptist University
Jianbing Shen
Jianbing Shen University of Macau
Jun Chen
Jun Chen Nankai University
Ling Shao
Ling Shao Terminus International
Shin'ichi Satoh
Shin'ichi Satoh National Institute of Informatics
Shih-Fu Chang
Shih-Fu Chang Columbia University
Huiyu Zhou
Huiyu Zhou University of Leicester
Xiang Bai
Xiang Bai Huazhong University of Science and Technology
Chia-Wen Lin
Chia-Wen Lin National Tsing Hua University
Liang Zheng
Liang Zheng Australian National University

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