Chai Quek

Chai Quek

Nanyang Technological University

H-index: 53

Asia-Singapore

About Chai Quek

Chai Quek, With an exceptional h-index of 53 and a recent h-index of 29 (since 2020), a distinguished researcher at Nanyang Technological University, specializes in the field of Fuzzy Neural Network, Artificial Intelligence, Computational Intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

FE-RNN: A fuzzy embedded recurrent neural network for improving interpretability of underlying neural network

Learning and processing framework using Fuzzy Deep Neural Network for trading and portfolio rebalancing

Adaptive Discounting of Training Time Attacks

Cross-modal credibility modelling for EEG-based multimodal emotion recognition

Poisoning the well: can we simultaneously attack a group of learning agents?

Dynamic portfolio rebalancing with lag-optimised trading indicators using SeroFAM and genetic algorithms

VDPC: Variational density peak clustering algorithm

Value-based subgoal discovery and path planning for reaching long-horizon goals

Chai Quek Information

University

Position

School of Computer Engineering

Citations(all)

8748

Citations(since 2020)

3214

Cited By

6822

hIndex(all)

53

hIndex(since 2020)

29

i10Index(all)

159

i10Index(since 2020)

72

Email

University Profile Page

Nanyang Technological University

Google Scholar

View Google Scholar Profile

Chai Quek Skills & Research Interests

Fuzzy Neural Network

Artificial Intelligence

Computational Intelligence

Top articles of Chai Quek

Title

Journal

Author(s)

Publication Date

FE-RNN: A fuzzy embedded recurrent neural network for improving interpretability of underlying neural network

Information Sciences

James Chee Min Tan

Qi Cao

Chai Quek

2024/2/9

Learning and processing framework using Fuzzy Deep Neural Network for trading and portfolio rebalancing

Applied Soft Computing

Nicole Hui Lin Kan

Qi Cao

Chai Quek

2024/2/1

Adaptive Discounting of Training Time Attacks

arXiv preprint arXiv:2401.02652

Ridhima Bector

Abhay Aradhya

Chai Quek

Zinovi Rabinovich

2024/1/5

Cross-modal credibility modelling for EEG-based multimodal emotion recognition

Journal of Neural Engineering

Yuzhe Zhang

Huan Liu

Di Wang

Dalin Zhang

Tianyu Lou

...

2024/4/1

Poisoning the well: can we simultaneously attack a group of learning agents?

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI-23

Ridhima Bector

Hang Xu

Abhay Aradhya

Chai Quek

Zinovi Rabinovich

2023/8/19

Dynamic portfolio rebalancing with lag-optimised trading indicators using SeroFAM and genetic algorithms

Expert Systems with Applications

Leon Lai Xiang Yeo

Qi Cao

Chai Quek

2023/4/15

VDPC: Variational density peak clustering algorithm

Information Sciences

Yizhang Wang

Di Wang

You Zhou

Xiaofeng Zhang

Chai Quek

2023/4/1

Value-based subgoal discovery and path planning for reaching long-horizon goals

IEEE Transactions on Neural Networks and Learning Systems

Shubham Pateria

Budhitama Subagdja

Ah-Hwee Tan

Chai Quek

2023/2/7

Spatial-temporal episodic memory modeling for ADLs: encoding, retrieval, and prediction

Complex & Intelligent Systems

Xinjing Song

Di Wang

Chai Quek

Ah-Hwee Tan

Yanjiang Wang

2023/12/14

GEMM-SaFIN (FRIE)++: Explainable Artificial Intelligence Visualisation System with Episodic Memory

Nelson Mingwei Ko

Chen Xie

Qi Cao

Chai Quek

2023/12/1

EEG-video emotion-based summarization: Learning with EEG auxiliary signals

IEEE Transactions on Affective Computing

Wai-Cheong Lincoln Lew

Di Wang

Kai Keng Ang

Joo-Hwee Lim

Chai Quek

...

2022/9/21

Who are the ‘silent spreaders’?: Contact tracing in spatio-temporal memory models

Neural Computing and Applications

Yue Hu

Budhitama Subagdja

Ah-Hwee Tan

Chai Quek

Quanjun Yin

2022/9

Dynamic portfolio rebalancing through reinforcement learning

Neural Computing and Applications

Qing Yang Eddy Lim

Qi Cao

Chai Quek

2021/12/12

Emotionally charged text classification with deep learning and sentiment semantic

Neural Computing and Applications

Jeow Li Huan

Arif Ahmed Sekh

Chai Quek

Dilip K Prasad

2022/2

An embedded deep fuzzy association model for learning and explanation

Applied Soft Computing

Chen Xie

Deepu Rajan

Dilip K Prasad

Chai Quek

2022/12/1

An interpretable Neural Fuzzy Hammerstein-Wiener network for stock price prediction

Information Sciences

Chen Xie

Deepu Rajan

Quek Chai

2021/10/1

Recurrent Self-evolving Takagi–Sugeno–Kan Fuzzy Neural Network (RST-FNN) Based Type-2 Diabetic Modeling

Quah En Zhe

Arif Ahmed Sekh

Chai Quek

Dilip K Prasad

2021

End-to-end hierarchical reinforcement learning with integrated subgoal discovery

IEEE Transactions on Neural Networks and Learning Systems

Shubham Pateria

Budhitama Subagdja

Ah-Hwee Tan

Chai Quek

2021/6/22

Hierarchical reinforcement learning: A comprehensive survey

Shubham Pateria

Budhitama Subagdja

Ah-hwee Tan

Chai Quek

2021/6/5

seMLP: Self-evolving Multi-layer Perceptron in Stock Trading Decision Making

SN Computer Science

Seow Wen Jun

Arif Ahmed Sekh

Chai Quek

Dilip K Prasad

2021/4

See List of Professors in Chai Quek University(Nanyang Technological University)