World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
5998
World Ranking
9808
National Ranking
1230

Overview

Kup-Sze Choi is affiliated with the Hong Kong Polytechnic University in China and has a significant research output primarily in the field of Computer Science. Their work encompasses a range of subfields, with notable contributions in Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Cognitive Neuroscience, and Radiology, Nuclear Medicine and Imaging.

The scientist has published extensively on topics such as EEG and Brain-Computer Interfaces, Text and Document Classification Technologies, Face and Expression Recognition, Domain Adaptation and Few-Shot Learning, Blind Source Separation Techniques, Gaze Tracking and Assistive Technology, and Advanced Neural Network Applications.

Frequent coauthors associated with Kup-Sze Choi include:

  • Shitong Wang
  • Zhaohong Deng
  • Qiongdan Lou
  • Guanjin Wang
  • Shuang Liang

Key publication venues where Kup-Sze Choi's research has appeared are:

  • arXiv (Cornell University)
  • IEEE Transactions on Fuzzy Systems
  • IEEE Transactions on Neural Networks and Learning Systems
  • Briefings in Bioinformatics
  • Neurocomputing

Selected recent papers include:

  • The effect of e-health interventions promoting physical activity in older people: a systematic review and meta-analysis (2020), published in European Review of Aging and Physical Activity
  • Effects of an mHealth Brisk Walking Intervention on Increasing Physical Activity in Older People With Cognitive Frailty: Pilot Randomized Controlled Trial (2020), published in JMIR mhealth and uhealth
  • Network Together: Node Classification via Cross-Network Deep Network Embedding (2020), published in IEEE Transactions on Neural Networks and Learning Systems
  • Adversarial Deep Network Embedding for Cross-Network Node Classification (2020), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • A Deep-Ensemble-Level-Based Interpretable Takagi-Sugeno-Kang Fuzzy Classifier for Imbalanced Data (2020), published in IEEE Transactions on Cybernetics

Best Publications

  • Heartbeat classification using disease-specific feature selection

    Zhancheng Zhang;Jun Dong;Xiaoqing Luo;Kup-Sze Choi

  • Enhanced soft subspace clustering integrating within-cluster and between-cluster information

    Zhaohong Deng;Kup-Sze Choi;Fu-Lai Chung;Shitong Wang

  • Seizure Classification From EEG Signals Using Transfer Learning, Semi-Supervised Learning and TSK Fuzzy System

    Yizhang Jiang;Dongrui Wu;Zhaohong Deng;Pengjiang Qian

  • Recognition of Epileptic EEG Signals Using a Novel Multiview TSK Fuzzy System

    Yizhang Jiang;Zhaohong Deng;Fu-Lai Chung;Guanjin Wang

  • Deep Multi-View Feature Learning for EEG-Based Epileptic Seizure Detection

    Xiaobin Tian;Zhaohong Deng;Wenhao Ying;Kup-Sze Choi

  • Knowledge-Leverage-Based TSK Fuzzy System Modeling

    Zhaohong Deng;Yizhang Jiang;Kup-Sze Choi;Fu-Lai Chung

  • Scalable TSK Fuzzy Modeling for Very Large Datasets Using Minimal-Enclosing-Ball Approximation

    Zhaohong Deng;Kup-Sze Choi;Fu-Lai Chung;Shitong Wang

  • Generalized Hidden-Mapping Ridge Regression, Knowledge-Leveraged Inductive Transfer Learning for Neural Networks, Fuzzy Systems and Kernel Methods

    Zhaohong Deng;Kup-Sze Choi;Yizhang Jiang;Shitong Wang

  • Alternatives to relational database: Comparison of NoSQL and XML approaches for clinical data storage

    Ken Ka-Yin Lee;Wai-Choi Tang;Kup-Sze Choi

  • A survey on soft subspace clustering

    Zhaohong Deng;Kup-Sze Choi;Yizhang Jiang;Jun Wang

  • Transfer Prototype-Based Fuzzy Clustering

    Zhaohong Deng;Yizhang Jiang;Fu-Lai Chung;Hisao Ishibuchi

  • Prediction of mortality after radical cystectomy for bladder cancer by machine learning techniques

    Guanjin Wang;Kin-Man Lam;Zhaohong Deng;Kup-Sze Choi

  • A virtual training simulator for learning cataract surgery with phacoemulsification

    Kup-Sze Choi;Sophia Soo;Fu-Lai Chung

  • Local and Global Structure-Aware Entropy Regularized Mean Teacher Model for 3D Left Atrium Segmentation

    Wenlong Hang;Wenlong Hang;Wei Feng;Shuang Liang;Lequan Yu

  • Network Together: Node Classification via Cross-Network Deep Network Embedding

    Xiao Shen;Quanyu Dai;Sitong Mao;Fu-Lai Chung

  • Learning Blood Management in Orthopedic Surgery through Gameplay

    Jing Qin;Yim-Pan Chui;Wai-Man Pang;Kup-Sze Choi

  • T2FELA: Type-2 Fuzzy Extreme Learning Algorithm for Fast Training of Interval Type-2 TSK Fuzzy Logic System

    Zhaohong Deng;Kup-Sze Choi;Longbing Cao;Shitong Wang

  • Interactive deformation of soft tissues with haptic feedback for medical learning

    Kup-Sze Choi;Hanqiu Sun;Pheng-Ann Heng

  • Takagi–Sugeno–Kang Transfer Learning Fuzzy Logic System for the Adaptive Recognition of Epileptic Electroencephalogram Signals

    Changjian Yang;Zhaohong Deng;Kup-Sze Choi;Shitong Wang

  • Transductive Joint-Knowledge-Transfer TSK FS for Recognition of Epileptic EEG Signals

    Zhaohong Deng;Peng Xu;Lixiao Xie;Kup-Sze Choi

  • Distance metric learning for soft subspace clustering in composite kernel space

    Jun Wang;Zhaohong Deng;Kup-Sze Choi;Yizhang Jiang

Frequent Co-Authors

Shitong Wang
Shitong Wang Jiangnan University
Pheng-Ann Heng
Pheng-Ann Heng Chinese University of Hong Kong
Jing Qin
Jing Qin Hong Kong Polytechnic University
Fu-Lai Chung
Fu-Lai Chung Hong Kong Polytechnic University
Baiying Lei
Baiying Lei Shenzhen University
Peng Xu
Peng Xu Chinese Academy of Sciences
Zhaohong Deng
Zhaohong Deng Jiangnan University
Jie Lu
Jie Lu University of Technology Sydney
Kin-Man Lam
Kin-Man Lam Hong Kong Polytechnic University
Hong-Bin Shen
Hong-Bin Shen Shanghai Jiao Tong University

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