World's Best Scientists 2026 revealed!
Award Badge
Computer Science
China
2025

D-Index & Metrics

Computer Science

D-Index
87
Citations
30541
World Ranking
724
National Ranking
109

Research.com Recognitions

  • 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
  • 2019 - IEEE Fellow For contributions to perceptual modeling and processing of visual signals

Overview

Xiaokang Yang is a researcher affiliated with Shanghai Jiao Tong University in China, specializing in the field of Computer Science with a focus on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Computational Mechanics, and Radiology, Nuclear Medicine and Imaging.

The main topics of their work include:

  • Advanced Neural Network Applications
  • Advanced Image Processing Techniques
  • Advanced Image and Video Retrieval Techniques
  • Visual Attention and Saliency Detection
  • Domain Adaptation and Few-Shot Learning
  • Video Surveillance and Tracking Methods
  • Human Pose and Action Recognition

Recent significant publications by Xiaokang Yang include:

  • "A deep learning system for detecting diabetic retinopathy across the disease spectrum," 2021, published in Nature Communications
  • "SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing," 2022, published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "End-to-End Reconstruction-Classification Learning for Face Forgery Detection," 2022, presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "A Multimodal Saliency Model for Videos With High Audio-Visual Correspondence," 2020, published in IEEE Transactions on Image Processing
  • "Screen Content Quality Assessment: Overview, Benchmark, and Beyond," 2021, published in ACM Computing Surveys

Xiaokang Yang has collaborated frequently with a number of co-authors. Among the most frequent are:

  • Guangtao Zhai
  • Junchi Yan
  • Xiongkuo Min
  • Yichao Yan
  • Bin Sheng

The researcher has contributed to publications in prominent venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Circuits and Systems for Video Technology
  • Proceedings of the AAAI Conference on Artificial Intelligence

In addition to journal and conference papers, Xiaokang Yang has published books with Springer Science+Business Media, including:

  • "Digital TV and Wireless Multimedia Communication," 2021
  • "Digital TV and Wireless Multimedia Communications," 2022
  • "Computational Intelligence, Cyber Security and Computational Models. Models and Techniques for Intelligent Systems and Automation," 2020

Xiaokang Yang was recognized as an IEEE Fellow in 2019 for contributions to perceptual modeling and processing of visual signals.

Best Publications

  • Hierarchical Convolutional Features for Visual Tracking

    Chao Ma;Jia-Bin Huang;Xiaokang Yang;Ming-Hsuan Yang

  • Cross-scene crowd counting via deep convolutional neural networks

    Cong Zhang;Hongsheng Li;Xiaogang Wang;Xiaokang Yang

  • Long-term correlation tracking

    Chao Ma;Xiaokang Yang;Chongyang Zhang;Ming-Hsuan Yang

  • Using free energy principle for blind image quality assessment

    Ke Gu;Guangtao Zhai;Xiaokang Yang;Wenjun Zhang

  • Learning a no-reference quality metric for single-image super-resolution

    Chao Ma;Chao Ma;Chih Yuan Yang;Xiaokang Yang;Ming Hsuan Yang

  • Uncertainty-Aware Blind Image Quality Assessment in the Laboratory and Wild

    Weixia Zhang;Kede Ma;Guangtao Zhai;Xiaokang Yang

  • Blind Image Quality Estimation via Distortion Aggravation

    Xiongkuo Min;Guangtao Zhai;Ke Gu;Yutao Liu

  • Just noticeable distortion model and its applications in video coding

    Xiaokang Yang;W. S. Ling;Zhongkang Lu;Ee Ping Ong

  • PointAugmenting: Cross-Modal Augmentation for 3D Object Detection

    Chunwei Wang;Chao Ma;Ming Zhu;Xiaokang Yang

  • Blind Quality Assessment Based on Pseudo-Reference Image

    Xiongkuo Min;Ke Gu;Guangtao Zhai;Jing Liu

  • CamShift guided particle filter for visual tracking

    Zhaowen Wang;Xiaokang Yang;Yi Xu;Songyu Yu

  • Crowd Counting via Adversarial Cross-Scale Consistency Pursuit

    Zan Shen;Yi Xu;Bingbing Ni;Minsi Wang

  • Deep Multimodal Distance Metric Learning Using Click Constraints for Image Ranking

    Jun Yu;Xiaokang Yang;Fei Gao;Dacheng Tao

  • No-Reference Quality Metric of Contrast-Distorted Images Based on Information Maximization

    Ke Gu;Weisi Lin;Guangtao Zhai;Xiaokang Yang

  • Unsupervised Deep Learning for Optical Flow Estimation

    Zhe Ren;Junchi Yan;Bingbing Ni;Bin Liu

  • No-Reference Image Sharpness Assessment in Autoregressive Parameter Space

    Ke Gu;Guangtao Zhai;Weisi Lin;Xiaokang Yang

  • Learning Combinatorial Embedding Networks for Deep Graph Matching

    Runzhong Wang;Junchi Yan;Xiaokang Yang

  • SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing

    Xue Yang;Junchi Yan;Xiaokang Yang;Jin Tang

  • A Psychovisual Quality Metric in Free-Energy Principle

    Guangtao Zhai;Xiaolin Wu;Xiaokang Yang;Weisi Lin

  • Saliency-Guided Quality Assessment of Screen Content Images

    Ke Gu;Shiqi Wang;Huan Yang;Weisi Lin

  • A locally adaptive algorithm for measuring blocking artifacts in images and videos

    Feng Pan;Xiao Lin;Susanto Rahardja;Weisi Lin

  • Person Re-identification via Recurrent Feature Aggregation

    Yichao Yan;Bingbing Ni;Zhichao Song;Chao Ma

  • Person Re-Identification Over Camera Networks Using Multi-Task Distance Metric Learning

    Lianyang Ma;Xiaokang Yang;Dacheng Tao

Frequent Co-Authors

Guangtao Zhai
Guangtao Zhai Shanghai Jiao Tong University
Wenjun Zhang
Wenjun Zhang Shanghai Jiao Tong University
Bingbing Ni
Bingbing Ni Shanghai Jiao Tong University
Ke Gu
Ke Gu Beijing University of Technology
Hongyuan Zha
Hongyuan Zha Chinese University of Hong Kong, Shenzhen
Weisi Lin
Weisi Lin Nanyang Technological University
Junchi Yan
Junchi Yan Shanghai Jiao Tong University
Xiongkuo Min
Xiongkuo Min Shanghai Jiao Tong University
Weiyao Lin
Weiyao Lin Shanghai Jiao Tong University
Kai Chen
Kai Chen Hong Kong University of Science and Technology

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

Exploring Computer Science in the USA opens doors to a variety of related online degrees and pathways. Many students are choosing flexible options such as a 1 year computer science degree online, which allows for faster progression into tech careers. These accelerated programs can be ideal for those looking to quickly gain relevant skills or shift careers.

Computer Science skills also complement fields like engineering and physics. For students interested in sustainability, an environmental engineering degree can provide valuable expertise in solving real-world environmental challenges using technology.

Affordability is a key concern for many prospective students. Options such as the cheapest online mechanical engineering degree blend strong technical foundations with cost-effective learning. In addition, gaining an online bachelor's degree in physics enhances analytical and problem-solving skills crucial for tech-related professions.

By considering these online degrees and alternate pathways, learners can tailor their education to specific career goals while benefiting from the flexibility and innovation of online study.

Best Scientists Citing Xiaokang Yang

Trending Scientists

Recently Published Articles