World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
17086
World Ranking
4965
National Ranking
667

Overview

Weihong Deng was affiliated with Beijing University of Posts and Telecommunications in China and contributed extensively to the field of computer science with a particular focus on computer vision and pattern recognition.

Their research spanned multiple subfields including:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Signal Processing
  • Experimental and Cognitive Psychology
  • Information Systems

The main topics covered in their work included:

  • Face recognition and analysis
  • Face and Expression Recognition
  • Biometric Identification and Security
  • Domain Adaptation and Few-Shot Learning
  • Generative Adversarial Networks and Image Synthesis
  • Emotion and Mood Recognition
  • Advanced Image and Video Retrieval Techniques

Weihong Deng's publication record includes significant papers such as:

  • "Deep Facial Expression Recognition: A Survey" (2020), published in IEEE Transactions on Affective Computing
  • "Deep face recognition: A survey" (2020), published in Neurocomputing
  • "Deep facial expression recognition: a survey" (2020), published in Journal of Image and Graphics
  • "Domain Generalization via Shuffled Style Assembly for Face Anti-Spoofing" (2022), published in the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "A Deeper Look at Facial Expression Dataset Bias" (2020), published in IEEE Transactions on Affective Computing

The scientist frequently collaborated with several coauthors, including:

  • Mei Wang (29 publications)
  • Jiani Hu (17 publications)
  • Yaoyao Zhong (16 publications)
  • Xuannan Liu (12 publications)
  • Dongchao Wen (10 publications)

Common publication venues for their work were:

  • arXiv (Cornell University) with 48 publications
  • Pattern Recognition with 10 publications
  • SSRN Electronic Journal with 7 publications
  • IEEE Transactions on Affective Computing with 6 publications
  • Journal of Image and Graphics with 5 publications

In addition to research articles, Weihong Deng authored a book titled Biometric Recognition, published in 2022 by Springer Science+Business Media.

Best Publications

  • Deep visual domain adaptation: A survey

    Mei Wang;Weihong Deng

  • Deep Facial Expression Recognition: A Survey

    Shan Li;Weihong Deng

  • Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild

    Shan Li;Weihong Deng;JunPing Du

  • Deep face recognition: A survey

    Mei Wang;Weihong Deng

  • Very deep convolutional neural network based image classification using small training sample size

    Shuying Liu;Weihong Deng

  • Extended SRC: Undersampled Face Recognition via Intraclass Variant Dictionary

    Weihong Deng;Jiani Hu;Jun Guo

  • Reliable Crowdsourcing and Deep Locality-Preserving Learning for Unconstrained Facial Expression Recognition

    Shan Li;Weihong Deng

  • Globally Maximizing, Locally Minimizing: Unsupervised Discriminant Projection with Applications to Face and Palm Biometrics

    Jian Yang;D. Zhang;Jing-yu Yang;B. Niu

  • Mixed High-Order Attention Network for Person Re-Identification

    Binghui Chen;Weihong Deng;Jiani Hu

  • Cross-Age LFW: A Database for Studying Cross-Age Face Recognition in Unconstrained Environments

    Tianyue Zheng;Weihong Deng;Jiani Hu

  • Racial Faces in the Wild: Reducing Racial Bias by Information Maximization Adaptation Network

    Mei Wang;Weihong Deng;Jiani Hu;Xunqiang Tao

  • Learning temporal features using LSTM-CNN architecture for face anti-spoofing

    Zhenqi Xu;Shan Li;Weihong Deng

  • Towards Transferable Adversarial Attack Against Deep Face Recognition

    Yaoyao Zhong;Weihong Deng

  • Discriminative Multimetric Learning for Kinship Verification

    Haibin Yan;Jiwen Lu;Weihong Deng;Xiuzhuang Zhou

  • Representative Forgery Mining for Fake Face Detection

    Chengrui Wang;Weihong Deng

  • Mitigating Bias in Face Recognition Using Skewness-Aware Reinforcement Learning

    Mei Wang;Weihong Deng

  • Multi-manifold deep metric learning for image set classification

    Jiwen Lu;Gang Wang;Weihong Deng;Pierre Moulin

  • In Defense of Sparsity Based Face Recognition

    Weihong Deng;Jiani Hu;Jun Guo

  • Simultaneous Feature and Dictionary Learning for Image Set Based Face Recognition

    Jiwen Lu;Gang Wang;Jie Zhou

  • Simultaneous Feature and Dictionary Learning for Image Set Based Face Recognition

    Jiwen Lu;Gang Wang;Weihong Deng;Pierre Moulin

  • Mitigate Bias in Face Recognition using Skewness-Aware Reinforcement Learning

    Mei Wang;Weihong Deng

Frequent Co-Authors

Jun Guo
Jun Guo Beijing University of Posts and Telecommunications
Jiwen Lu
Jiwen Lu Tsinghua University
Joey Tianyi Zhou
Joey Tianyi Zhou Agency for Science, Technology and Research
Junping Du
Junping Du Beijing University of Posts and Telecommunications
Jian Tang
Jian Tang Syracuse University
Jie Yang
Jie Yang Carnegie Mellon University
Dagan Feng
Dagan Feng University of Sydney
Weidong Cai
Weidong Cai University of Sydney
Li Shang
Li Shang University of Colorado Boulder
Yunchao Wei
Yunchao Wei Beijing Jiaotong 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

Exploring computer science opens doors to many educational and career opportunities. While a bachelor's in computer science is highly valued, students also consider other majors in college that lead to tech-focused careers, such as information technology, cybersecurity, or data science. Each major offers unique skills and career prospects within the digital landscape.

For those aiming to advance quickly, pursuing an easy masters degree online can provide specialized knowledge in less time. Online master's programs often offer flexibility for working professionals and students wanting to upskill.

If you’re considering the highest academic achievements, it’s worth exploring cheap doctoral programs in technology-related fields. These can bolster your expertise and position you as a leader in research or academia, without overwhelming student debt.

Alternatively, educators in computing or STEM fields can opt for the cheapest edd online programs to fast-track careers in educational leadership or curriculum development. Online learning makes these pathways more accessible and affordable than ever.

Best Scientists Citing Weihong Deng

Recently Published Articles