World's Best Scientists 2026 revealed!
Award Badge
Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
99
Citations
39401
World Ranking
391
National Ranking
48

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award

Overview

Shiguang Shan is affiliated with the Chinese Academy of Sciences in China. Their research primarily focuses on computer science, with a significant number of publications in computer vision and pattern recognition, artificial intelligence, and signal processing. They have also contributed to biomedical engineering and experimental and cognitive psychology within their wider academic scope.

The scientist has published extensively in several notable venues, including:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Pattern Recognition
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Information Forensics and Security

Shiguang Shan's recent papers cover a range of topics within computer vision, machine learning, and domain adaptation:

  • "Clothes-Changing Person Re-identification with RGB Modality Only," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Unsupervised Adversarial Domain Adaptation for Cross-Domain Face Presentation Attack Detection," 2020, IEEE Transactions on Information Forensics and Security
  • "Learning to Learn Adaptive Classifier-Predictor for Few-Shot Learning," 2020, IEEE Transactions on Neural Networks and Learning Systems
  • "Feature Completion for Occluded Person Re-Identification," 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Unified unsupervised and semi-supervised domain adaptation network for cross-scenario face anti-spoofing," 2021, Pattern Recognition

The core research topics associated with Shiguang Shan include:

  • Face recognition and analysis
  • Video surveillance and tracking methods
  • Domain adaptation and few-shot learning
  • Human pose and action recognition
  • Multimodal machine learning applications
  • Advanced image and video retrieval techniques
  • Speech and audio processing

Frequent collaborations have been maintained with several other researchers, including Xilin Chen, Hong Chang, Bingpeng Ma, Ruibing Hou, and Meina Kan. The depth and range of these partnerships indicate ongoing collaborative efforts in various aspects of computer vision and related fields.

Best Publications

  • Deep Supervised Hashing for Fast Image Retrieval

    Haomiao Liu;Ruiping Wang;Shiguang Shan;Xilin Chen

  • The CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations

    Wen Gao;Bo Cao;Shiguang Shan;Xilin Chen

  • Local Gabor binary pattern histogram sequence (LGBPHS): a novel non-statistical model for face representation and recognition

    Wenchao Zhang;Shiguang Shan;Wen Gao;Xilin Chen

  • WLD: A Robust Local Image Descriptor

    Jie Chen;Shiguang Shan;Chu He;Guoying Zhao

  • Occlusion Aware Facial Expression Recognition Using CNN With Attention Mechanism

    Yong Li;Jiabei Zeng;Shiguang Shan;Xilin Chen

  • AttGAN: Facial Attribute Editing by Only Changing What You Want

    Zhenliang He;Wangmeng Zuo;Meina Kan;Shiguang Shan

  • Multi-View Discriminant Analysis

    Meina Kan;Shiguang Shan;Haihong Zhang;Shihong Lao

  • Histogram of Gabor Phase Patterns (HGPP): A Novel Object Representation Approach for Face Recognition

    Baochang Zhang;Shiguang Shan;Xilin Chen;Wen Gao

  • Self-Supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation

    Yude Wang;Jie Zhang;Meina Kan;Shiguang Shan

  • Coarse-to-Fine Auto-Encoder Networks (CFAN) for Real-Time Face Alignment

    Jie Zhang;Shiguang Shan;Meina Kan;Xilin Chen

  • Manifold-Manifold Distance with application to face recognition based on image set

    Ruiping Wang;Shiguang Shan;Xilin Chen;Wen Gao

  • Self-paced curriculum learning

    Lu Jiang;Deyu Meng;Qian Zhao;Shiguang Shan

  • Illumination normalization for robust face recognition against varying lighting conditions

    Shiguang Shan;Wen Gao;Bo Cao;Debin Zhao

  • Shift-Net: Image Inpainting via Deep Feature Rearrangement

    Zhaoyi Yan;Xiaoming Li;Mu Li;Wangmeng Zuo

  • Fusing Local Patterns of Gabor Magnitude and Phase for Face Recognition

    Shufu Xie;Shiguang Shan;Xilin Chen;Jie Chen

  • Hierarchical Ensemble of Global and Local Classifiers for Face Recognition

    Yu Su;Shiguang Shan;Xilin Chen;Wen Gao

  • Learning Expressionlets on Spatio-temporal Manifold for Dynamic Facial Expression Recognition

    Mengyi Liu;Shiguang Shan;Ruiping Wang;Xilin Chen

  • Interaction-And-Aggregation Network for Person Re-Identification

    Ruibing Hou;Bingpeng Ma;Hong Chang;Xinqian Gu

  • Cross Attention Network for Few-shot Classification

    Ruibing Hou;Hong Chang;Bingpeng Ma;Shiguang Shan

  • Deeply Learning Deformable Facial Action Parts Model for Dynamic Expression Analysis

    Mengyi Liu;Shaoxin Li;Shiguang Shan;Ruiping Wang

  • RhythmNet: End-to-End Heart Rate Estimation From Face via Spatial-Temporal Representation

    Xuesong Niu;Shiguang Shan;Hu Han;Xilin Chen

  • Locally Linear Regression for Pose-Invariant Face Recognition

    Xiujuan Chai;Shiguang Shan;Xilin Chen;Wen Gao

Frequent Co-Authors

Xilin Chen
Xilin Chen University of Chinese Academy of Sciences
Wen Gao
Wen Gao Peking University
Ruiping Wang
Ruiping Wang Chinese Academy of Sciences
Meina Kan
Meina Kan Chinese Academy of Sciences
Hong Chang
Hong Chang Chinese Academy of Sciences
Hu Han
Hu Han Chinese Academy of Sciences
Debin Zhao
Debin Zhao Harbin Institute of Technology
Shihong Lao
Shihong Lao SenseTime
Wangmeng Zuo
Wangmeng Zuo Harbin Institute of Technology
Alexander G. Hauptmann
Alexander G. Hauptmann Carnegie Mellon University

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

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

If you’re interested in studying Computer Science in the USA, there are several related online degrees and career paths to consider. Fields such as cybersecurity, construction management, criminal justice, and accounting increasingly value tech expertise and digital skills.

For students keen on protecting digital information, a cyber security bachelor degree online can be a great fit. This pathway prepares you for fast-growing roles in digital security. Similarly, a construction management degree bridges the gap between engineering, technology, and project management—ideal for those fascinated by both technology and infrastructure.

If you’re interested in the intersection of technology and law enforcement, a criminal justice major offers a modern curriculum that includes cybercrime and digital forensics. Meanwhile, those looking for career opportunities in finance can benefit from online accounting classes that emphasize the use of analytics and information technology.

Exploring these degree options can open the door to a wide variety of tech-driven careers beyond core computer science, making you even more competitive in the job market.

Best Scientists Citing Shiguang Shan

Trending Scientists