World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
8682
World Ranking
4917
National Ranking
70

Overview

Chai Quek is affiliated with Nanyang Technological University in Singapore. Their research primarily spans the field of Computer Science, with a focus on several subfields including Artificial Intelligence, Management Science and Operations Research, Computer Vision and Pattern Recognition, Finance, and Computational Theory and Mathematics.

The scientist's recent papers cover a range of topics and have been published in well-known venues. Key publications include:

  • "Hierarchical Reinforcement Learning," 2021, ACM Computing Surveys
  • "VDPC: Variational density peak clustering algorithm," 2022, Information Sciences
  • "An interpretable Neural Fuzzy Hammerstein-Wiener network for stock price prediction," 2021, Information Sciences
  • "Dynamic portfolio rebalancing through reinforcement learning," 2021, Neural Computing and Applications
  • "End-to-End Hierarchical Reinforcement Learning With Integrated Subgoal Discovery," 2021, IEEE Transactions on Neural Networks and Learning Systems

Their frequent publication venues reflect their main research interests, including:

  • Information Sciences
  • Neural Computing and Applications
  • arXiv (Cornell University)
  • IEEE Transactions on Neural Networks and Learning Systems
  • Expert Systems with Applications

Chai Quek collaborates often with several co-authors who have contributed to multiple publications alongside them. These frequent collaborators include:

  • Ah-Hwee Tan
  • Qi Cao
  • Dilip K. Prasad
  • Budhitama Subagdja
  • Di Wang

The scientist's research interests can also be seen through the main topics they focus on, which include:

  • Stock Market Forecasting Methods
  • Neural Networks and Applications
  • Fuzzy Logic and Control Systems
  • Reinforcement Learning in Robotics
  • Financial Markets and Investment Strategies
  • Data Stream Mining Techniques
  • Sentiment Analysis and Opinion Mining

Best Publications

  • Optimizing the Channel Selection and Classification Accuracy in EEG-Based BCI

    M Arvaneh;Cuntai Guan;Kai Keng Ang;Chai Quek

  • Video Processing From Electro-Optical Sensors for Object Detection and Tracking in a Maritime Environment: A Survey

    Dilip K. Prasad;Deepu Rajan;Lily Rachmawati;Eshan Rajabally

  • Hierarchical Reinforcement Learning: A Comprehensive Survey

    Shubham Pateria;Budhitama Subagdja;Ah-hwee Tan;Chai Quek

  • POP-TRAFFIC: a novel fuzzy neural approach to road traffic analysis and prediction

    C. Quek;M. Pasquier;B.B.S. Lim

  • GenSoFNN: a generic self-organizing fuzzy neural network

    W.L. Tung;C. Quek

  • ElliFit: An unconstrained, non-iterative, least squares based geometric Ellipse Fitting method

    Dilip K. Prasad;Maylor K. H. Leung;Chai Quek

  • Assessment of the Efficacy of EEG-Based MI-BCI With Visual Feedback and EEG Correlates of Mental Fatigue for Upper-Limb Stroke Rehabilitation

    Ruyi Foong;Ning Tang;Effie Chew;Karen Sui Geok Chua

  • GenSo-EWS: a novel neural-fuzzy based early warning system for predicting bank failures

    W. L. Tung;C. Quek;P. Cheng

  • Stock Trading Using RSPOP: A Novel Rough Set-Based Neuro-Fuzzy Approach

    K.K. Ang;C. Quek

  • A novel application of a neuro-fuzzy computational technique in event-based rainfall-runoff modeling

    Amin Talei;Lloyd Hock Chye Chua;Chai Quek

  • Optimizing Spatial Filters by Minimizing Within-Class Dissimilarities in Electroencephalogram-Based Brain–Computer Interface

    M. Arvaneh;Cuntai Guan;Kai Keng Ang;Chai Quek

  • A novel cognitive interpretation of breast cancer thermography with complementary learning fuzzy neural memory structure

    T. Z. Tan;C. Quek;G. S. Ng;E. Y. K. Ng

  • A Brain-Computer Interface for classifying EEG correlates of chronic mental stress

    Reza Khosrowabadi;Chai Quek;Kai Keng Ang;Sau Wai Tung

  • POPFNN: a pseudo outer-product based fuzzy neural network

    R. W. Zhou;C. Quek

  • POPFNN-CRI(S): pseudo outer product based fuzzy neural network using the compositional rule of inference and singleton fuzzifier

    K.K. Ang;C. Quek;M. Pasquier

  • RSPOP: Rough Set–Based Pseudo Outer-Product Fuzzy Rule Identification Algorithm

    Kai Keng Ang;Chai Quek

  • Driving Profile Modeling and Recognition Based on Soft Computing Approach

    A. Wahab;Chai Quek;Chin Keong Tan;K. Takeda

  • ERNN: A Biologically Inspired Feedforward Neural Network to Discriminate Emotion From EEG Signal

    Reza Khosrowabadi;Chai Quek;Kai Keng Ang;Abdul Wahab

  • eT2FIS: An Evolving Type-2 Neural Fuzzy Inference System

    S. W. Tung;C. Quek;C. Guan

  • GA-TSKfnn: Parameters tuning of fuzzy neural network using genetic algorithms

    A. M. Tang;C. Quek;G. S. Ng

  • Video Processing from Electro-optical Sensors for Object Detection and Tracking in Maritime Environment: A Survey

    D. K. Prasad;D. Rajan;L. Rachmawati;E. Rajabaly

Frequent Co-Authors

Kai Keng Ang
Kai Keng Ang A*STAR - Agency for Science, Technology and Research
Tuan Zea Tan
Tuan Zea Tan National University of Singapore
Cuntai Guan
Cuntai Guan Nanyang Technological University
Qiang Shen
Qiang Shen Aberystwyth University
Douglas L. Maskell
Douglas L. Maskell Nanyang Technological University
See-Kiong Ng
See-Kiong Ng National University of Singapore
Joo-Hwee Lim
Joo-Hwee Lim Agency for Science, Technology and Research
Chee-Kit Looi
Chee-Kit Looi Nanyang Technological University
Eddie Y. K. Ng
Eddie Y. K. Ng Nanyang Technological University
Per-Erik Jansson
Per-Erik Jansson Royal Institute of Technology

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