2026 Shuicheng Yan: 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	150	34	33	2	2	792	99556

Research.com Recognitions

2026 - Research.com Computer Science in Singapore Leader Award
2025 - Research.com Computer Science in Singapore Leader Award
2023 - Research.com Computer Science in Singapore Leader Award
2022 - Research.com Computer Science in Singapore Leader Award
2020 - ACM Fellow For contributions to visual content understanding techniques and applications
2016 - ACM Distinguished Member
2014 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to computer vision and pattern recognition

Overview

Shuicheng Yan is affiliated with the National University of Singapore in Singapore. Their research primarily spans computer science, focusing extensively on computer vision and pattern recognition, as well as artificial intelligence.

The scientist's work covers various subfields, including computational mechanics, civil and structural engineering, and control and systems engineering. Their main research topics include:

Domain Adaptation and Few-Shot Learning
Human Pose and Action Recognition
Multimodal Machine Learning Applications
Advanced Vision and Imaging
Generative Adversarial Networks and Image Synthesis
Advanced Neural Network Applications
Advanced Image and Video Retrieval Techniques

Shuicheng Yan has published extensively, contributing notably to venues such as:

arXiv (Cornell University)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Proceedings of the AAAI Conference on Artificial Intelligence
SSRN Electronic Journal
IEEE Transactions on Image Processing

Frequent co-authors include Zhao Zhang, Jiashi Feng, Pan Zhou, Meng Wang, and Shiyu Chang.

Selected recent papers include:

"Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
"EnlightenGAN: Deep Light Enhancement Without Paired Supervision," 2021, IEEE Transactions on Image Processing
"MetaFormer is Actually What You Need for Vision," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
"Deep Long-Tailed Learning: A Survey," 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence
"VOLO: Vision Outlooker for Visual Recognition," 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence

Recognition of their contributions includes the titles of ACM Fellow awarded in 2020 for contributions to visual content understanding techniques and applications, ACM Distinguished Member in 2016, and Fellow of the International Association for Pattern Recognition in 2014 for contributions to computer vision and pattern recognition.

Best Publications

Network In Network

Min Lin;Qiang Chen;Shuicheng Yan

5575
Citations
Face recognition using Laplacianfaces

Xiaofei He;Shuicheng Yan;Yuxiao Hu;P. Niyogi

4485
Citations
Robust Recovery of Subspace Structures by Low-Rank Representation

Guangcan Liu;Zhouchen Lin;Shuicheng Yan;Ju Sun

3828
Citations
Graph Embedding and Extensions: A General Framework for Dimensionality Reduction

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

3362
Citations
An HOG-LBP human detector with partial occlusion handling

Xiaoyu Wang;Tony X. Han;Shuicheng Yan

2406
Citations
Sparse Representation for Computer Vision and Pattern Recognition

John Wright;Yi Ma;Julien Mairal;Guillermo Sapiro

2344
Citations
Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

Li Yuan;Yunpeng Chen;Tao Wang;Weihao Yu

2198
Citations
Neighborhood preserving embedding

Xiaofei He;Deng Cai;Shuicheng Yan;Hong-Jiang Zhang

2113
Citations
Deep Joint Rain Detection and Removal from a Single Image

Wenhan Yang;Robby T. Tan;Jiashi Feng;Jiaying Liu

1193
Citations
Supervised hashing for image retrieval via image representation learning

Rongkai Xia;Yan Pan;Hanjiang Lai;Cong Liu

1069
Citations
Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm

Canyi Lu;Jiashi Feng;Yudong Chen;Wei Liu

1034
Citations
Simultaneous feature learning and hash coding with deep neural networks

Hanjiang Lai;Yan Pan;Ye Liu;Shuicheng Yan

940
Citations
Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach

Yunchao Wei;Jiashi Feng;Xiaodan Liang;Ming-Ming Cheng

899
Citations
Perceptual Generative Adversarial Networks for Small Object Detection

Jianan Li;Xiaodan Liang;Yunchao Wei;Tingfa Xu

881
Citations
Scale-Aware Fast R-CNN for Pedestrian Detection

Jianan Li;Xiaodan Liang;Shengmei Shen;Tingfa Xu

855
Citations
Visual Classification With Multitask Joint Sparse Representation

Xiao-Tong Yuan;Xiaobai Liu;Shuicheng Yan

783
Citations
Robust and efficient subspace segmentation via least squares regression

Can-Yi Lu;Hai Min;Zhong-Qiu Zhao;Lin Zhu

781
Citations
End-to-End Comparative Attention Networks for Person Re-Identification

Hao Liu;Jiashi Feng;Meibin Qi;Jianguo Jiang

768
Citations
HCP: A Flexible CNN Framework for Multi-Label Image Classification

Yunchao Wei;Wei Xia;Min Lin;Junshi Huang

750
Citations
Learning With $ll ^{1}$ -Graph for Image Analysis

Bin Cheng;Jianchao Yang;Shuicheng Yan;Yun Fu

728
Citations
Latent Low-Rank Representation for subspace segmentation and feature extraction

Guangcan Liu;Shuicheng Yan

719
Citations

Frequent Co-Authors

Jiashi Feng ByteDance

Meng Wang Hefei University of Technology

Thomas S. Huang University of Illinois at Urbana-Champaign

Zhao Zhang Hefei University of Technology

Bingbing Ni Shanghai Jiao Tong University

Si Liu Beihang University

Xiaodan Liang Sun Yat-sen University

Jinhui Tang Nanjing University of Science and Technology

Tat-Seng Chua National University of Singapore

Liang Lin Sun Yat-sen University

External Links

Personal website of Shuicheng Yan Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Exploring computer science doesn’t have to follow a traditional path. For those seeking a quicker entry into the field, 1 year associate degree programs online provide foundational skills and can lead to roles in IT support, web development, or more advanced study.

Affordability is often a key concern for students. There are many cheap online colleges that offer accredited computer science programs, making it possible to gain in-demand skills without a heavy financial burden.

Academic background shouldn’t limit your options. If you’re worried about past grades, you can find a college that accepts low gpa, allowing more students to pursue their tech goals regardless of their GPA.

Additionally, related fields like environmental science also offer digital career pathways. Wondering about options beyond computer science? Learn what can you do with an environmental science degree and explore opportunities where tech and science intersect.