World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
9321
World Ranking
5140
National Ranking
698

Research.com Recognitions

  • 2018 - IEEE Fellow For contributions to cluster analysis and visual computing
  • 2006 - ACM Senior Member

Overview

Yiu-ming Cheung is affiliated with Hong Kong Baptist University in China and has a research portfolio primarily within the field of Computer Science. Their work emphasizes subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Media Technology, and Electrical and Electronic Engineering.

Their research topics cover a range of specific areas including Advanced Image and Video Retrieval Techniques, Domain Adaptation and Few-Shot Learning, Face and Expression Recognition, Advanced Clustering Algorithms Research, Advanced Multi-Objective Optimization Algorithms, Video Surveillance and Tracking Methods, and Imbalanced Data Classification Techniques.

Yiu-ming Cheung has published extensively in various venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Computational Intelligence Magazine
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Proceedings of the AAAI Conference on Artificial Intelligence

Recent papers authored or coauthored include:

  • "Hyperspectral Image Classification Based on 3-D Octave Convolution With Spatial-Spectral Attention Network" (2020), published in IEEE Transactions on Geoscience and Remote Sensing
  • "Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment" (2022), published in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "FDDH: Fast Discriminative Discrete Hashing for Large-Scale Cross-Modal Retrieval" (2021), published in IEEE Transactions on Neural Networks and Learning Systems
  • "SAGN: Semantic-Aware Graph Network for Remote Sensing Scene Classification" (2023), published in IEEE Transactions on Image Processing
  • "A Survey of Human Action Recognition and Posture Prediction" (2022), published in Tsinghua Science & Technology

Frequent co-authors with whom Yiu-ming Cheung has collaborated on multiple occasions are:

  • Mengke Li
  • Yiqun Zhang
  • Zhikai Hu
  • Weichao Lan
  • Dongrui Wu

Throughout their career, Yiu-ming Cheung has received recognition including being named an IEEE Fellow in 2018 for contributions to cluster analysis and visual computing, as well as becoming an ACM Senior Member in 2006.

Best Publications

  • Segmentation of retinal blood vessels using the radial projection and semi-supervised approach

    Xinge You;Qinmu Peng;Yuan Yuan;Yiu-ming Cheung

  • Agglomerative Fuzzy K-Means Clustering Algorithm with Selection of Number of Clusters

    M.J. Li;M.K. Ng;Y.-m. Cheung;J.Z. Huang

  • k -means: a new generalized k -means clustering algorithm

    Yiu-Ming Cheung

  • Feature Selection and Kernel Learning for Local Learning-Based Clustering

    Hong Zeng;Yiu-ming Cheung

  • Robust Object Tracking via Key Patch Sparse Representation

    Zhenyu He;Shuangyan Yi;Yiu-Ming Cheung;Xinge You

  • Joint sparse principal component analysis

    Shuangyan Yi;Zhihui Lai;Zhenyu He;Yiu Ming Cheung

  • MTFH: A Matrix Tri-Factorization Hashing Framework for Efficient Cross-Modal Retrieval

    Xin Liu;Zhikai Hu;Haibin Ling;Yiu-Ming Cheung

  • A Blind Watermarking Scheme Using New Nontensor Product Wavelet Filter Banks

    Xinge You;Liang Du;Yiu-ming Cheung;Qiuhui Chen

  • Independent component ordering in ICA time series analysis

    Yiu-ming Cheung;Lei Xu

  • Eye Gaze Tracking With a Web Camera in a Desktop Environment

    Yiu-ming Cheung;Qinmu Peng

  • Efficient single image dehazing and denoising

    Xin Liu;He Zhang;Yiu-ming Cheung;Xinge You

  • Self-Organizing Map-Based Weight Design for Decomposition-Based Many-Objective Evolutionary Algorithm

    Fangqing Gu;Yiu-Ming Cheung

  • Categorical-and-numerical-attribute data clustering based on a unified similarity metric without knowing cluster number

    Yiu-Ming Cheung;Hong Jia

  • Hyperspectral Image Classification Based on 3-D Octave Convolution With Spatial–Spectral Attention Network

    Xu Tang;Fanbo Meng;Xiangrong Zhang;Yiu-Ming Cheung

  • A New Distance Metric for Unsupervised Learning of Categorical Data

    Hong Jia;Yiu-ming Cheung;Jiming Liu

  • Semi-Supervised Maximum Margin Clustering with Pairwise Constraints

    Hong Zeng;Yiu-Ming Cheung

  • Maximum weighted likelihood via rival penalized EM for density mixture clustering with automatic model selection

    Yiu-ming Cheung

  • Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment

    Unknown

  • Subspace Clustering of Categorical and Numerical Data With an Unknown Number of Clusters

    Hong Jia;Yiu-Ming Cheung

  • A new feature selection method for Gaussian mixture clustering

    Hong Zeng;Yiu-Ming Cheung

  • ApLeaf: An efficient android-based plant leaf identification system

    Zhong Qiu Zhao;Zhong Qiu Zhao;Lin Hai Ma;Yiu Ming Cheung;Xindong Wu;Xindong Wu

Frequent Co-Authors

Xinge You
Xinge You Huazhong University of Science and Technology
Yuan Yan Tang
Yuan Yan Tang University of Macau
De-Shuang Huang
De-Shuang Huang Tongji University
Pong C. Yuen
Pong C. Yuen Hong Kong Baptist University
Kay Chen Tan
Kay Chen Tan Hong Kong Polytechnic University
Xindong Wu
Xindong Wu Hefei University of Technology
Xing-Ming Zhao
Xing-Ming Zhao Fudan University
Jiming Liu
Jiming Liu Hong Kong Baptist University
Guang-Bin Huang
Guang-Bin Huang Nanyang Technological University
C. L. Philip Chen
C. L. Philip Chen South China University of Technology

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