2026 Xiatian Zhu: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Rising Stars	45	435	435	17	17	106	12765
Computer Science	47	6324	6141	379	375	106	14876

Research.com Recognitions

2025 - Research.com Rising Stars Award

Overview

Xiatian Zhu is affiliated with the University of Surrey in the United Kingdom. Their research contributions are primarily within the field of Computer Science, focusing extensively on Computer Vision and Pattern Recognition as well as Artificial Intelligence.

The scientist has published scholarly work in a variety of prominent venues. Frequent publication sources include:

arXiv (Cornell University)
Proceedings of the AAAI Conference on Artificial Intelligence
Pattern Recognition
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence

Among recent papers associated with their research interests are:

"Multimodal Learning With Transformers: A Survey" (2023), IEEE Transactions on Pattern Analysis and Machine Intelligence
"Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers" (2020), arXiv (Cornell University)
"Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer" (2021), 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
"PolarFormer: Multi-Camera 3D Object Detection with Polar Transformer" (2023), Proceedings of the AAAI Conference on Artificial Intelligence
"Semi-Supervised and Unsupervised Deep Visual Learning: A Survey" (2022), IEEE Transactions on Pattern Analysis and Machine Intelligence

The main topics researched by Xiatian Zhu cover a broad range of areas within machine learning and computer vision, such as:

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

Collaborations have been an important aspect of their academic activity. Frequent co-authors include:

Tao Xiang
Yi-Zhe Song
Mao Ye
Sauradip Nag
Brais Martínez

Best Publications

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

Sixiao Zheng;Jiachen Lu;Hengshuang Zhao;Xiatian Zhu

3495
Citations
Harmonious Attention Network for Person Re-identification

Wei Li;Xiatian Zhu;Shaogang Gong

1524
Citations
Person re-identification by video ranking

Taiqing Wang;Shaogang Gong;Xiatian Zhu;Shengjin Wang

767
Citations
Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification

Jingya Wang;Xiatian Zhu;Shaogang Gong;Wei Li

619
Citations
Distribution-Aware Coordinate Representation for Human Pose Estimation

Feng Zhang;Xiatian Zhu;Hanbin Dai;Mao Ye

551
Citations
Person Re-Identification by Deep Joint Learning of Multi-Loss Classification

Wei Li;Xiatian Zhu;Shaogang Gong

453
Citations
Person Re-identification by Deep Learning Multi-scale Representations

Yanbei Chen;Xiatian Zhu;Shaogang Gong

451
Citations
Imbalanced Deep Learning by Minority Class Incremental Rectification

Qi Dong;Shaogang Gong;Xiatian Zhu

390
Citations
Knowledge Distillation by On-the-Fly Native Ensemble

xu lan;Xiatian Zhu;Shaogang Gong

383
Citations
Person Re-Identification by Camera Correlation Aware Feature Augmentation

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

376
Citations
Fast Human Pose Estimation

Feng Zhang;Xiatian Zhu;Mao Ye

287
Citations
Person Re-Identification by Discriminative Selection in Video Ranking

Taiqing Wang;Shaogang Gong;Xiatian Zhu;Shengjin Wang

263
Citations
Incremental Few-Shot Object Detection

Juan-Manuel Perez-Rua;Xiatian Zhu;Timothy M. Hospedales;Tao Xiang

251
Citations
Unsupervised Person Re-identification by Deep Learning Tracklet Association

Minxian Li;Minxian Li;Xiatian Zhu;Shaogang Gong

245
Citations
Class Rectification Hard Mining for Imbalanced Deep Learning

Qi Dong;Shaogang Gong;Xiatian Zhu

211
Citations
Instance-Guided Context Rendering for Cross-Domain Person Re-Identification

Yanbei Chen;Xiatian Zhu;Shaogang Gong

208
Citations
Simpler Is Better: Few-Shot Semantic Segmentation With Classifier Weight Transformer

Zhihe Lu;Sen He;Xiatian Zhu;Li Zhang

203
Citations
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey

Unknown

194
Citations
Unsupervised Tracklet Person Re-Identification

Minxian Li;Xiatian Zhu;Shaogang Gong

185
Citations
Stochastic Classifiers for Unsupervised Domain Adaptation

Zhihe Lu;Yongxin Yang;Xiatian Zhu;Cong Liu

180
Citations
Unsupervised Deep Learning by Neighbourhood Discovery

Jiabo Huang;Qi Dong;Shaogang Gong;Xiatian Zhu

101
Citations

Frequent Co-Authors

Shaogang Gong Queen Mary University of London

Chen Change Loy Nanyang Technological University

Vittorio Murino University of Verona

Bernard Ghanem King Abdullah University of Science and Technology

Wei-Shi Zheng Sun Yat-sen University

Shengjin Wang Tsinghua University

Yi-Zhe Song University of Surrey

Timothy M. Hospedales University of Edinburgh

Jianfeng Feng Fudan University

Hengshuang Zhao University of Hong Kong

External Links

Personal website of Xiatian Zhu Google Scholar page

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