2026 Stephen Lin: 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	87	698	677	105	103	241	68816

Research.com Recognitions

2025 - Research.com Computer Science in China Leader Award
2022 - Research.com Computer Science in China Leader Award

Overview

Stephen Lin is affiliated with Microsoft Research Asia (China) and works across interdisciplinary domains combining computer science and medicine. Their research focuses heavily on topics related to computer vision, medical imaging, and disease mechanisms.

The main fields of study for Stephen Lin include Computer Science and Medicine. Within these areas, their subfields of specialization span:

Computer Vision and Pattern Recognition
Radiology, Nuclear Medicine and Imaging
Artificial Intelligence
Immunology and Allergy
Pulmonary and Respiratory Medicine

Lin's primary research topics cover:

Cell Adhesion Molecules Research
Human Pose and Action Recognition
3D Shape Modeling and Analysis
3D Surveying and Cultural Heritage
Prostate Cancer Treatment and Research
Extracellular Vesicles in Disease
Medical Imaging Techniques and Applications

Key recent papers authored or co-authored by Stephen Lin include:

A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Targeting the αVβ3/NgR2 pathway in neuroendocrine prostate cancer, 2023, Matrix Biology
Expression of the αVβ3 integrin affects prostate cancer sEV cargo and density and promotes sEV pro-tumorigenic activity in vivo through a GPI-anchored receptor, NgR2, 2024, Journal of Extracellular Vesicles
The NOGO receptor NgR2, a novel αVβ3 integrin effector, induces neuroendocrine differentiation in prostate cancer, 2022, Scientific Reports
The pharmacokinetics, pharmacodynamics, and short-term safety of cilofexor, a nonsteroidal farnesoid X receptor agonist, in subjects with hepatic impairment, 2020, Journal of Hepatology

The venues where Stephen Lin frequently publishes reflect the multidisciplinary nature of their work, including:

arXiv (Cornell University)
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Matrix Biology
Journal of Extracellular Vesicles
Scientific Reports

Stephen Lin collaborates regularly with several researchers, with frequent co-authors including:

Fabio Quaglia
Christopher D. Shields
William Kevin Kelly
Dario C. Altieri
Lucia R. Languino

Best Publications

Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows

Ze Liu;Yutong Lin;Yue Cao;Han Hu

29104
Citations
Graph Embedding and Extensions: A General Framework for Dimensionality Reduction

Shuicheng Yan;Dong Xu;Benyu Zhang;Hong-Jiang Zhang

3362
Citations
Video Swin Transformer

Unknown

2641
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
RepPoints: Point Set Representation for Object Detection

Ze Yang;Shaohui Liu;Han Hu;Liwei Wang

1183
Citations
A High-Quality Denoising Dataset for Smartphone Cameras

Abdelrahman Abdelhamed;Stephen Lin;Michael S. Brown

794
Citations
An Empirical Study of Spatial Attention Mechanisms in Deep Networks

Xizhou Zhu;Dazhi Cheng;Zheng Zhang;Stephen Lin

577
Citations
Local Relation Networks for Image Recognition

Han Hu;Zheng Zhang;Zhenda Xie;Stephen Lin

539
Citations
DeepVessel: Retinal Vessel Segmentation via Deep Learning and Conditional Random Field

Huazhu Fu;Yanwu Xu;Stephen Lin;Damon Wing Kee Wong

479
Citations
3D shape regression for real-time facial animation

Chen Cao;Yanlin Weng;Stephen Lin;Kun Zhou

430
Citations
Super resolution using edge prior and single image detail synthesis

Yu-Wing Tai;Shuaicheng Liu;Michael S. Brown;Stephen Lin

426
Citations
Coded Aperture Pairs for Depth from Defocus and Defocus Deblurring

Changyin Zhou;Stephen Lin;Shree K. Nayar

374
Citations
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning

Zhenda Xie;Yutong Lin;Zheng Zhang;Yue Cao

359
Citations
Marginal Fisher Analysis and Its Variants for Human Gait Recognition and Content- Based Image Retrieval

Dong Xu;Shuicheng Yan;Dacheng Tao;S. Lin

358
Citations
Discriminant Locally Linear Embedding With High-Order Tensor Data

Xuelong Li;S. Lin;Shuicheng Yan;Dong Xu

345
Citations
Disentangled Non-local Neural Networks

Minghao Yin;Zhuliang Yao;Yue Cao;Xiu Li

319
Citations
Exposure: A White-Box Photo Post-Processing Framework

Yuanming Hu;Hao He;Chenxi Xu;Baoyuan Wang

311
Citations
Automatic Feature Learning to Grade Nuclear Cataracts Based on Deep Learning

Xinting Gao;Stephen Lin;Tien Yin Wong

281
Citations
Computational Snapshot Multispectral Cameras: Toward dynamic capture of the spectral world

Xun Cao;Tao Yue;Xing Lin;Stephen Lin

279
Citations
View-dependent displacement mapping

Lifeng Wang;Xi Wang;Xin Tong;Stephen Lin

258
Citations
Semantic colorization with internet images

Alex Yong-Sang Chia;Shaojie Zhuo;Raj Kumar Gupta;Yu-Wing Tai

244
Citations

Frequent Co-Authors

Baining Guo Microsoft (United States)

Heung-Yeung Shum Microsoft (United States)

Xin Tong Microsoft Research Asia (China)

Kun Zhou Zhejiang University

Dong Xu University of Hong Kong

Ping Tan Simon Fraser University

Jiang Liu Southern University of Science and Technology

Sing Bing Kang Zillow Group (United States)

Kwanghoon Sohn Yonsei University

Huazhu Fu Agency for Science, Technology and Research

External Links

Personal website of Stephen Lin Google Scholar page

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