World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
6505
World Ranking
7313
National Ranking
973

Overview

Hau-San Wong is affiliated with the City University of Hong Kong in China. Their research primarily falls under the umbrella of Computer Science, with a strong focus on the subfields of Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Signal Processing, and Cancer Research.

Their scientific contributions are documented extensively, with a particular concentration on topics such as Domain Adaptation and Few-Shot Learning, Generative Adversarial Networks and Image Synthesis, Advanced Image Processing Techniques, Advanced Image and Video Retrieval Techniques, Machine Learning and Extreme Learning Machines (ELM), as well as Video Surveillance and Tracking Methods and Face and Expression Recognition.

Hau-San Wong has published research in a variety of notable venues, including:

  • Pattern Recognition
  • Knowledge-Based Systems
  • IEEE Transactions on Neural Networks and Learning Systems
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Knowledge and Data Engineering

Among the recent papers authored or co-authored by Wong are:

  • "Incremental Weighted Ensemble Broad Learning System for Imbalanced Data," 2021, IEEE Transactions on Knowledge and Data Engineering
  • "Self-Supervised Graph Completion for Incomplete Multi-View Clustering," 2023, IEEE Transactions on Knowledge and Data Engineering
  • "Simplified Unsupervised Image Translation for Semantic Segmentation Adaptation," 2020, Pattern Recognition
  • "Fast and Effective Active Clustering Ensemble Based on Density Peak," 2020, IEEE Transactions on Neural Networks and Learning Systems
  • "Self-Guided Partial Graph Propagation for Incomplete Multiview Clustering," 2023, IEEE Transactions on Neural Networks and Learning Systems

Wong has frequently collaborated with several researchers, with the most common co-authors including:

  • Si Wu
  • Cheng Liu
  • Zhiwen Yu
  • Wenming Cao
  • Qianfen Jiao

Best Publications

  • Model Adaptation: Unsupervised Domain Adaptation Without Source Data

    Rui Li;Qianfen Jiao;Wenming Cao;Hau-San Wong

  • Graph-based consensus clustering for class discovery from gene expression data

    Zhiwen Yu;Hau-San Wong;Hongqiang Wang

  • Incremental Semi-Supervised Clustering Ensemble for High Dimensional Data Clustering

    Zhiwen Yu;Peinan Luo;Jane You;Hau-San Wong

  • Adaptive activation functions in convolutional neural networks

    Sheng Qian;Hua Liu;Cheng Liu;Si Wu

  • Letters: Face and palmprint feature level fusion for single sample biometrics recognition

    Yong-Fang Yao;Xiao-Yuan Jing;Hau-San Wong

  • Rapid and brief communication: Face recognition based on 2D Fisherface approach

    Xiao-Yuan Jing;Hau-San Wong;David Zhang

  • Adaptive Image Processing: A Computational Intelligence Perspective

    Stuart William Perry;Hau-San Wong;Ling Guan

  • A Bayesian Model for Crowd Escape Behavior Detection

    Si Wu;Hau-San Wong;Zhiwen Yu

  • Hybrid Classifier Ensemble for Imbalanced Data

    Kaixiang Yang;Zhiwen Yu;Xin Wen;Wenming Cao

  • Generalized Adjusted Rand Indices for cluster ensembles

    Shaohong Zhang;Hau-San Wong;Ying Shen

  • Characterization of carbon nanotube protein corona by using quantitative proteomics.

    Xiaoning Cai;Rajkumar Ramalingam;Hau San Wong;Jinping Cheng

  • Incremental Weighted Ensemble Broad Learning System For Imbalanced Data

    Kaixiang Yang;Zhiwen Yu;C. L. Philip Chen;Wenming Cao

  • A hybrid intelligent algorithm for portfolio selection problem with fuzzy returns

    Xiang Li;Yang Zhang;Hau-San Wong;Zhongfeng Qin

  • Adaptive fuzzy consensus clustering framework for clustering analysis of cancer data

    Zhiwen Yu;Hantao Chen;Jane You;Jiming Liu

  • Dynamic resource allocation via video content and short-term traffic statistics

    Min Wu;R.A. Joyce;Hau-San Wong;Long Guan

  • METHOD AND SYSTEM FOR DYNAMICALLY ALLOTTING NETWORK RESOURCES DURING BIT STREAM TRANSFER IN NETWORK

    Wu Min;Joyce Robert A;Anthony Vetro;Wong Hau-San

  • Self-Supervised Graph Completion for Incomplete Multi-View Clustering

    Unknown

  • Double selection based semi-supervised clustering ensemble for tumor clustering from gene expression profiles

    Zhiwen Yu;Hongsheng Chen;Jane You;Hau-San Wong

  • Clustering by Local Gravitation

    Zhiqiang Wang;Zhiwen Yu;C. L. Philip Chen;Jane You

  • Hybrid clustering solution selection strategy

    Zhiwen Yu;Le Li;Yunjun Gao;Jane You

  • SC³: Triple Spectral Clustering-Based Consensus Clustering Framework for Class Discovery from Cancer Gene Expression Profiles

    Zhiwen Yu;Le Li;Jane You;Hau-San Wong

  • A neural learning approach for adaptive image restoration using a fuzzy model-based network architecture

    Hau-San Wong;Ling Guan

  • Incremental semi-supervised clustering ensemble for high dimensional data clustering

    Zhiwen Yu;Peinan Luo;Si Wu;Guoqiang Han

Frequent Co-Authors

Zhiwen Yu
Zhiwen Yu Northwestern Polytechnical University
Jane You
Jane You Hong Kong Polytechnic University
Ling Guan
Ling Guan Toronto Metropolitan University
Horace H. S. Ip
Horace H. S. Ip City University of Hong Kong
De-Shuang Huang
De-Shuang Huang Tongji University
C. L. Philip Chen
C. L. Philip Chen South China University of Technology
Jiming Liu
Jiming Liu Hong Kong Baptist University
Yong Xu
Yong Xu Harbin Institute of Technology
Xiao-Yuan Jing
Xiao-Yuan Jing Wuhan University
Ronald A. Li
Ronald A. Li University of Hong Kong

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