World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
7125
World Ranking
4929
National Ranking
664

Overview

Wai Keung Wong is affiliated with Hong Kong Polytechnic University in China. Their research primarily focuses on computer science, with extensive contributions in various subfields including computer vision and pattern recognition, artificial intelligence, industrial and manufacturing engineering, computational mechanics, and computer networks and communications.

The scientist's work covers several main topics, highlighting areas such as generative adversarial networks and image synthesis, face and expression recognition, industrial vision systems and defect detection, domain adaptation and few-shot learning, anomaly detection techniques and applications, video surveillance and tracking methods, and advanced image and video retrieval techniques.

Wong has coauthored publications frequently with researchers including Xingxing Zou, Yuwu Lu, Dongmei Mo, Zhihui Lai, and Jie Wen.

Wong's research has been published in multiple venues. The most frequent publication outlets include:

  • arXiv (Cornell University)
  • AATCC Journal of Research
  • IEEE Transactions on Multimedia
  • Pattern Recognition
  • Proceedings of the AAAI Conference on Artificial Intelligence

The following are some of the recent papers associated with Wai Keung Wong and their respective publication details:

  • The effect of psychological factors on pain, function and quality of life in patients with rotator cuff tendinopathy: A systematic review, 2020, Musculoskeletal Science and Practice
  • Discriminative deep multi-task learning for facial expression recognition, 2020, Information Sciences
  • MVDRNet: Multi-view diabetic retinopathy detection by combining DCNNs and attention mechanisms, 2021, Pattern Recognition
  • Weighted Double-Low-Rank Decomposition With Application to Fabric Defect Detection, 2020, IEEE Transactions on Automation Science and Engineering
  • Guided Discrimination and Correlation Subspace Learning for Domain Adaptation, 2023, IEEE Transactions on Image Processing

Best Publications

  • A hybrid intelligent model for medium-term sales forecasting in fashion retail supply chains using extreme learning machine and harmony search algorithm

    W.K. Wong;Z.X. Guo

  • Distributed Synchronization of Coupled Neural Networks via Randomly Occurring Control

    Yang Tang;Wai Keung Wong

  • Approximate Orthogonal Sparse Embedding for Dimensionality Reduction

    Zhihui Lai;Wai Keung Wong;Yong Xu;Jian Yang

  • A seasonal discrete grey forecasting model for fashion retailing

    Min Xia;Min Xia;W. K. Wong

  • Supervised optimal locality preserving projection

    W. K. Wong;H. T. Zhao

  • Low-Rank Embedding for Robust Image Feature Extraction

    Wai Keung Wong;Zhihui Lai;Jiajun Wen;Xiaozhao Fang

  • Stitching defect detection and classification using wavelet transform and BP neural network

    W. K. Wong;C. W. M. Yuen;D. D. Fan;L. K. Chan

  • Adaptive neural network model for time-series forecasting

    Wai Keung Wong;Min Xia;Min Xia;W. C. Chu

  • Mathematical model and genetic optimization for the job shop scheduling problem in a mixed- and multi-product assembly environment: a case study based on the apparel industry

    Z. X. Guo;W. K. Wong;S. Y. S. Leung;J. T. Fan

  • $H_{\infty}$ Filtering for Discrete-Time Switched Systems With Known Sojourn Probabilities

    Engang Tian;W. K. Wong;Dong Yue;Tai-Cheng Yang

  • Robust Semi-Supervised Subspace Clustering via Non-Negative Low-Rank Representation

    Xiaozhao Fang;Yong Xu;Xuelong Li;Zhihui Lai

  • Stochastic Synchronization of Complex Networks With Mixed Impulses

    W. K. Wong;Wenbing Zhang;Yang Tang;Xiaotai Wu

  • Differential evolution-based optimal Gabor filter model for fabric inspection

    Le Tong;W.K. Wong;C.K. Kwong

  • Regularized Label Relaxation Linear Regression

    Xiaozhao Fang;Yong Xu;Xuelong Li;Zhihui Lai

  • Adaptive Time-Variant Models for Fuzzy-Time-Series Forecasting

    Wai-Keung Wong;Enjian Bai;A W Chu

  • Approximate Low-Rank Projection Learning for Feature Extraction

    Xiaozhao Fang;Na Han;Jigang Wu;Yong Xu

  • Robust Latent Subspace Learning for Image Classification

    Xiaozhao Fang;Shaohua Teng;Zhihui Lai;Zhaoshui He

  • Robust Discriminant Regression for Feature Extraction

    Zhihui Lai;Dongmei Mo;Wai Keung Wong;Yong Xu

  • Scalable Supervised Asymmetric Hashing With Semantic and Latent Factor Embedding

    Zheng Zhang;Zhihui Lai;Zi Huang;Wai Keung Wong

  • A hybrid model using genetic algorithm and neural network for classifying garment defects

    C. W. M. Yuen;W. K. Wong;S. Q. Qian;L. K. Chan

Frequent Co-Authors

Zhihui Lai
Zhihui Lai Shenzhen University
Yang Tang
Yang Tang East China University of Science and Technology
Jintu Fan
Jintu Fan Hong Kong Polytechnic University
Xuelong Li
Xuelong Li China Telecom (China)
Yong Xu
Yong Xu Harbin Institute of Technology
W. H. Ip
W. H. Ip Hong Kong Polytechnic University
David Zhang
David Zhang Chinese University of Hong Kong, Shenzhen
Chi-wai Kan
Chi-wai Kan Hong Kong Polytechnic University
Jigang Wu
Jigang Wu Guangdong University of Technology
Zhong Jin
Zhong Jin Nanjing University

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