2026 Han Hu: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	33	12333	11974	1523	1514	52	46324

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Computer Science

12333

11974

1523

1514

46324

Overview

Han Hu is affiliated with Microsoft Research Asia (China). Their research primarily focuses on computer science, with a strong emphasis on subfields such as computer vision and pattern recognition, artificial intelligence, radiology, nuclear medicine and imaging, geology, and media technology.

The scientist's published work covers various main topics, including:

Advanced Neural Network Applications
Domain Adaptation and Few-Shot Learning
Advanced Image and Video Retrieval Techniques
Human Pose and Action Recognition
Multimodal Machine Learning Applications
Generative Adversarial Networks and Image Synthesis
COVID-19 diagnosis using AI

Representative recent publications by Han Hu include:

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
Swin Transformer V2: Scaling Up Capacity and Resolution, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Video Swin Transformer, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
SimMIM: a Simple Framework for Masked Image Modeling, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
End-to-End Semi-Supervised Object Detection with Soft Teacher, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Han Hu has frequently published in venues such as:

arXiv (Cornell University)
2021 IEEE/CVF International Conference on Computer Vision (ICCV)
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
IEEE Transactions on Pattern Analysis and Machine Intelligence
SSRN Electronic Journal

The scientist collaborates regularly with several co-authors including Zheng Zhang, Yue Cao, Yutong Lin, Stephen Lin, and Yixuan Wei, reflecting a collaborative research network within their field.

Best Publications

Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows

Ze Liu;Yutong Lin;Yue Cao;Han Hu

29104
Citations
Deformable Convolutional Networks

Jifeng Dai;Haozhi Qi;Yuwen Xiong;Yi Li

6658
Citations
Deformable ConvNets V2: More Deformable, Better Results

Xizhou Zhu;Han Hu;Stephen Lin;Jifeng Dai

2567
Citations
GCNet: Non-Local Networks Meet Squeeze-Excitation Networks and Beyond

Yue Cao;Jiarui Xu;Stephen Lin;Fangyun Wei

2073
Citations
Relation Networks for Object Detection

Han Hu;Jiayuan Gu;Zheng Zhang;Jifeng Dai

1431
Citations
RepPoints: Point Set Representation for Object Detection

Ze Yang;Shaohui Liu;Han Hu;Liwei Wang

1183
Citations
Local Relation Networks for Image Recognition

Han Hu;Zheng Zhang;Zhenda Xie;Stephen Lin

539
Citations
End-to-End Semi-Supervised Object Detection With Soft Teacher

Mengde Xu;Zheng Zhang;Han Hu;Jianfeng Wang

515
Citations
Negative Margin Matters: Understanding Margin in Few-Shot Classification

Bin Liu;Yue Cao;Yutong Lin;Yutong Lin;Qi Li

366
Citations
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning

Zhenda Xie;Yutong Lin;Zheng Zhang;Yue Cao

359
Citations
Memory Enhanced Global-Local Aggregation for Video Object Detection

Yihong Chen;Yue Cao;Han Hu;Liwei Wang

346
Citations
Disentangled Non-local Neural Networks

Minghao Yin;Zhuliang Yao;Yue Cao;Xiu Li

319
Citations
Smooth Representation Clustering

Han Hu;Zhouchen Lin;Jianjiang Feng;Jie Zhou

313
Citations
Spatial-Temporal Relation Networks for Multi-Object Tracking

Jiarui Xu;Yue Cao;Zheng Zhang;Han Hu

285
Citations
WordSup: Exploiting Word Annotations for Character Based Text Detection

Han Hu;Chengquan Zhang;Yuxuan Luo;Yuzhuo Wang

216
Citations
A Closer Look at Local Aggregation Operators in Point Cloud Analysis

Ze Liu;Ze Liu;Han Hu;Yue Cao;Zheng Zhang

181
Citations
Global Context Networks.

Yue Cao;Jiarui Xu;Stephen Lin;Fangyun Wei

139
Citations
Swin Transformer V2: Scaling Up Capacity and Resolution

Ze Liu;Han Hu;Yutong Lin;Zhuliang Yao

127
Citations
Self-Supervised Learning with Swin Transformers

Zhenda Xie;Yutong Lin;Zhuliang Yao;Zheng Zhang

113
Citations
Learning Region Features for Object Detection

Jiayuan Gu;Han Hu;Liwei Wang;Yichen Wei

87
Citations
RepPoints v2: Verification Meets Regression for Object Detection

Yihong Chen;Zheng Zhang;Yue Cao;Liwei Wang

68
Citations

Frequent Co-Authors

Stephen Lin Microsoft Research Asia (China)

Liwei Wang Peking University

Jie Zhou Tsinghua University

Jifeng Dai Tsinghua University

Yichen Wei Microsoft Research Asia (China)

Jianjiang Feng Tsinghua University

Xiang Bai Huazhong University of Science and Technology

Xin Tong Microsoft Research Asia (China)

Baining Guo Microsoft (United States)

Raquel Urtasun University of Toronto

External Links

Personal website of Han Hu

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