World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
67
Citations
16471
World Ranking
2208
National Ranking
301

Research.com Recognitions

  • 2018 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to subspace learning and information fusion for visual recognition

Overview

Pong C. Yuen is affiliated with Hong Kong Baptist University in China and has contributed extensively to the fields of Computer Science and Medicine. Their research focuses particularly on Artificial Intelligence, Computer Vision and Pattern Recognition, and Signal Processing, as well as subfields including Epidemiology and Radiology, Nuclear Medicine, and Imaging.

The scientist's research topics cover a range of areas including Biometric Identification and Security, Domain Adaptation and Few-Shot Learning, Liver Disease Diagnosis and Treatment, Face Recognition and Analysis, AI in cancer detection, Anomaly Detection Techniques and Applications, and Privacy-Preserving Technologies in Data.

They have published numerous papers in well-known academic venues, including:

  • Heterogeneous Federated Learning: State-of-the-art and Research Challenges (2023, ACM Computing Surveys)
  • Regularized Fine-Grained Meta Face Anti-Spoofing (2020, Proceedings of the AAAI Conference on Artificial Intelligence)
  • Augmentation Invariant and Instance Spreading Feature for Softmax Embedding (2020, IEEE Transactions on Pattern Analysis and Machine Intelligence)
  • DATA-GRU: Dual-Attention Time-Aware Gated Recurrent Unit for Irregular Multivariate Time Series (2020, Proceedings of the AAAI Conference on Artificial Intelligence)
  • PurifyNet: A Robust Person Re-Identification Model With Noisy Labels (2020, IEEE Transactions on Information Forensics and Security)

Frequent publication venues for Pong C. Yuen's work include:

  • arXiv (Cornell University)
  • IEEE Transactions on Information Forensics and Security
  • IEEE Transactions on Medical Imaging
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Neural Networks and Learning Systems

Collaborations have been a significant part of their research, with frequent co-authors including:

  • Grace Lai-Hung Wong
  • Mang Ye
  • J. Andy
  • Terry Cheuk-Fung Yip
  • Vincent Wai-Sun Wong

In addition to research articles, Pong C. Yuen has contributed to book publications with Springer Science+Business Media, notably with titles such as "Pattern Recognition and Artificial Intelligence" published in 2022.

Recognition for their contributions includes being named a Fellow of the International Association for Pattern Recognition (IAPR) in 2018 for work on subspace learning and information fusion for visual recognition.

Best Publications

  • The Visual Object Tracking VOT2016 Challenge Results

    Matej Kristan;Aleš Leonardis;Jiři Matas;Michael Felsberg

  • Unsupervised Embedding Learning via Invariant and Spreading Instance Feature

    Mang Ye;Xu Zhang;Pong C. Yuen;Shih-Fu Chang

  • Very Low Resolution Face Recognition Problem

    W. W. W. Zou;P. C. Yuen

  • Face recognition using holistic Fourier invariant features

    Jian Huang Lai;Jian Huang Lai;Pong Chi Yuen;Guo Can Feng;Guo Can Feng

  • Hierarchical Discriminative Learning for Visible Thermal Person Re-Identification

    Mang Ye;Xiangyuan Lan;Jiawei Li;Pong Chi Yuen

  • Multi-Adversarial Discriminative Deep Domain Generalization for Face Presentation Attack Detection

    Rui Shao;Xiangyuan Lan;Jiawei Li;Pong C. Yuen

  • Visible thermal person re-identification via dual-constrained top-ranking

    Mang Ye;Zheng Wang;Xiangyuan Lan;Pong Chi Yuen

  • Bi-Directional Center-Constrained Top-Ranking for Visible Thermal Person Re-Identification

    Mang Ye;Xiangyuan Lan;Zheng Wang;Pong C. Yuen

  • Face representation using independent component analysis

    Pong Chi Yuen;Jian-Huang Lai;Jian-Huang Lai

  • Variance projection function and its application to eye detection for human face recognition

    G. C. Feng;P. C. Yuen

  • Multi-cues eye detection on gray intensity image

    Guo Can Feng;Guo Can Feng;Pong Chi Yuen

  • A novel incremental principal component analysis and its application for face recognition

    Haitao Zhao;Pong Chi Yuen;J.T. Kwok

  • Human face recognition using PCA on wavelet subband

    Guo-Can Feng;Pong Chi Yuen;Dao-Qing Dai

  • 3D mask face anti-spoofing with remote photoplethysmography

    Pong Chi Yuen;Siqi Liu;Shengping Zhang;Guoying Zhao

  • Joint Sparse Representation and Robust Feature-Level Fusion for Multi-Cue Visual Tracking

    Xiangyuan Lan;Andy J. Ma;Pong C. Yuen;Rama Chellappa

  • Incremental Linear Discriminant Analysis for Face Recognition

    Haitao Zhao;Pong Chi Yuen

  • On the Reconstruction of Face Images from Deep Face Templates

    Guangcan Mai;Kai Cao;Pong C. Yuen;Anil K. Jain

  • Learning Common and Feature-Specific Patterns: A Novel Multiple-Sparse-Representation-Based Tracker

    Xiangyuan Lan;Shengping Zhang;Pong C. Yuen;Rama Chellappa

  • A Hybrid Approach for Generating Secure and Discriminating Face Template

    Y.C. Feng;P.C. Yuen;A.K. Jain

  • Dynamic Label Graph Matching for Unsupervised Video Re-identification

    Mang Ye;Andy J. Ma;Liang Zheng;Jiawei Li

  • Very low resolution face recognition problem

    W. W. Zou Wilman;Pong C. Yuen

Frequent Co-Authors

Jianhuang Lai
Jianhuang Lai Sun Yat-sen University
Mang Ye
Mang Ye Wuhan University
Wei-Shi Zheng
Wei-Shi Zheng Sun Yat-sen University
Yuan Yan Tang
Yuan Yan Tang University of Macau
Shengping Zhang
Shengping Zhang Harbin Institute of Technology
Yiu-ming Cheung
Yiu-ming Cheung Hong Kong Baptist University
Dao-Qing Dai
Dao-Qing Dai Sun Yat-sen University
Anil K. Jain
Anil K. Jain Michigan State University
Vishal M. Patel
Vishal M. Patel Johns Hopkins University
Rama Chellappa
Rama Chellappa Johns Hopkins University

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