陈创泉｜五邑大学｜学者主页

2026

Masked generative-contrastive representation learning for cross-dataset EEG-based emotion recognition

Huqin Weng, Jiayang Huang, Yimin Wen, Jie Du, Chi‐Man Vong, Chuangquan Chen

Neurocomputing

DOI

2026

DDCL-Net: dual-domain collaborative learning network for EEG-based emotion recognition

Zihao Xu, Zhenrong Ruan, Chi‐Man Vong, Huqin Weng, Chuangquan Chen

Knowledge-Based Systems

DOI

2026

Cognitive-Inspired Hierarchical Learning Framework for Cross-Dataset EEG-Based Emotion Recognition

Weiye Han, Huqin Weng, Zhiqiang Liao, Zihao Xu, Chuangquan Chen

Electronics

DOI

2026

STPA-Net: integrating spatio-temporal convolutional, multi-scale feature pyramid, and multi-attention mechanisms for EEG-based emotion decoding

Shihao Wu, Xinsheng He, Hui Zheng, Feng Wan, Chuangquan Chen, Hongtao Wang

Biomedical Signal Processing and Control

DOI

2026

Disentangled Multimodal Spatiotemporal Learning for Hybrid EEG-fNIRS Brain-Computer Interface

Yun Xu, Chi‐Man Vong, Zihao Xu, Jianlin Fu, Jin Li, Chuangquan Chen

IEEE Transactions on Biomedical Engineering

DOI

2026

Joint learning across multi-source datasets for multi-modal emotion recognition under missing modalities

Zhencheng Li, Sheng-hua Zhong, Yimin Wen, Chen Li, Chi‐Man Vong, Chuangquan Chen

Journal of Computational Design and Engineering

DOI

2025

HSA-Former: Hierarchical Spatial Aggregation Transformer for EEG-Based Emotion Recognition

Jiayang Huang, Chi‐Man Vong, Chen Li, Leicai Xu, Zihao Xu, C. L. Philip Chen, Chuangquan Chen

IEEE Transactions on Computational Social Systems

DOI

2025

Three-Stage Progressive Learning for Simplifying Multimodal Emotion Recognition with Single-Modality Inference

Jianlin Fu, Zhencheng Li, Huqin Weng, Chen Li, Yizhi Luo, Xinhua Li, Chuangquan Chen

DOI

2025

Towards a nuanced classification of mental fatigue: A comprehensive review of detection techniques and prospective research

Xinsheng He, Shuran Li, Haiyan Zhang, Chuangquan Chen, Junhua Li, Andrei Dragomir, Anastasios Bezerianos, Hongtao Wang

Biomedical Signal Processing and Control

DOI

2025

CBAM-DeepConvNet: Convolutional Block Attention Module-Deep Convolutional Neural Network for asymmetric visual evoked potentials recognition

Zhouyu Ji, Shuran Li, Hongfei Zhang, Chuangquan Chen, Qian Xu, Junhua Li, Hongtao Wang

Brain-Apparatus Communication A Journal of Bacomics

DOI

2025

Online learning with a hedge-based random vector functional link network using multi-forgetting factors

Xiang Liu, Yimin Wen, Hang Yu, Chuangquan Chen, Bao-Liang Lu

Neurocomputing

DOI

2024

Subject-specific CNN model with parameter-based transfer learning for SSVEP detection

Zhouyu Ji, Tao Xu, Chuangquan Chen, Haojun Yin, Feng Wan, Hongtao Wang

Biomedical Signal Processing and Control

DOI

2024

Tiny Data Is Sufficient: A Generalizable CNN Architecture for Temporal Domain Long Sequence Identification

Chen Li, Xianwei Zheng, Chuangquan Chen, Zicong Deng, Yiqing Shu

IEEE Transactions on Neural Networks and Learning Systems

DOI

2024

Broad Multitask Learning System With Group Sparse Regularization

Jintao Huang, Chuangquan Chen, Chi‐Man Vong, Yiu‐ming Cheung

IEEE Transactions on Neural Networks and Learning Systems

DOI

2024

Comprehensive Multisource Learning Network for Cross-Subject Multimodal Emotion Recognition

Chuangquan Chen, Zhencheng Li, Kit Ian Kou, Jie Du, Chen Li, Hongtao Wang, Chi‐Man Vong

IEEE Transactions on Emerging Topics in Computational Intelligence

DOI

2024

Multi-Scale Masked Autoencoders for Cross-Session Emotion Recognition

Miaoqi Pang, Hongtao Wang, Jiayang Huang, Chi‐Man Vong, Zhiqiang Zeng, Chuangquan Chen

IEEE Transactions on Neural Systems and Rehabilitation Engineering

DOI

2023

Self-Attentive Channel-Connectivity Capsule Network for EEG-Based Driving Fatigue Detection

Chuangquan Chen, Zhouyu Ji, Yu Sun, Anastasios Bezerianos, Nitish V. Thakor, Hongtao Wang

IEEE Transactions on Neural Systems and Rehabilitation Engineering

DOI

2023

Class-Incremental Learning Method With Fast Update and High Retainability Based on Broad Learning System

Jie Du, Peng Liu, Chi‐Man Vong, Chuangquan Chen, Tianfu Wang, C. L. Philip Chen

IEEE Transactions on Neural Networks and Learning Systems

DOI

2023

ST-CapsNet: Linking Spatial and Temporal Attention With Capsule Network for P300 Detection Improvement

Zehui Wang, Chuangquan Chen, Junhua Li, Feng Wan, Yu Sun, Hongtao Wang

IEEE Transactions on Neural Systems and Rehabilitation Engineering

DOI

2022

基于脑电信号的驾驶疲劳检测综述

王洪涛，殷浩钧，陈创泉，Anastasios Bezerianos

《华中科技大学学报(自然科学版)》

2022

An improved EEGNet for single-trial EEG classification in rapid serial visual presentation task

Hongfei Zhang, Zehui Wang, Yinhu Yu, Haojun Yin, Chuangquan Chen, Hongtao Wang

Brain Science Advances

DOI

2022

Fusing Frequency-Domain Features and Brain Connectivity Features for Cross-Subject Emotion Recognition

Chuangquan Chen, Zhencheng Li, Feng Wan, Leicai Xu, Anastasios Bezerianos, Hongtao Wang

IEEE Transactions on Instrumentation and Measurement

DOI

2021

Easy Domain Adaptation for cross-subject multi-view emotion recognition

Chuangquan Chen, Chi‐Man Vong, Shitong Wang, Hongtao Wang, Miaoqi Pang

Knowledge-Based Systems

DOI

2021

Scalable and memory-efficient sparse learning for classification with approximate Bayesian regularization priors

Jiahua Luo, Yanfen Gan, Chi‐Man Vong, Chi-Man Wong, Chuangquan Chen

Neurocomputing

DOI

2021

Brain-Controlled Wheelchair Review: From Wet Electrode to Dry Electrode, From Single Modal to Hybrid Modal, From Synchronous to Asynchronous

Hongtao Wang, Fan Yan, Tao Xu, Haojun Yin, Peng Chen, Hongwei Yue, Chuangquan Chen, Hongfei Zhang, Linfeng Xu, Yuebang He, Anastasios Bezerianos

IEEE Access

DOI

2021

An Inverse-Free and Scalable Sparse Bayesian Extreme Learning Machine for Classification Problems

Jiahua Luo, Chi‐Man Vong, Zhenbao Liu, Chuangquan Chen

IEEE Access

DOI

2020

Linking Attention-Based Multiscale CNN With Dynamical GCN for Driving Fatigue Detection

Hongtao Wang, Linfeng Xu, Anastasios Bezerianos, Chuangquan Chen, Zhiguo Zhang

IEEE Transactions on Instrumentation and Measurement

DOI

2020

Diverse Feature Blend Based on Filter-Bank Common Spatial Pattern and Brain Functional Connectivity for Multiple Motor Imagery Detection

Hongtao Wang, Tao Xu, Cong Tang, Hongwei Yue, Chuangquan Chen, Linfeng Xu, Zian Pei, Jiajun Dong, Anastasios Bezerianos, Junhua Li

IEEE Access

DOI

2020

Extreme semi-supervised learning for multiclass classification

Chuangquan Chen, Yanfen Gan, Chi-Man Vong

Neurocomputing

DOI

2020

Homo-ELM: fully homomorphic extreme learning machine

Weiru Wang, Yanfen Gan, Chi-Man Vong, Chuangquan Chen

International Journal of Machine Learning and Cybernetics

DOI

2020

Supervised Extreme Learning Machine-Based Auto-Encoder for Discriminative Feature Learning

Jie Du, Chi-Man Vong, Chuangquan Chen, Peng Liu, Zhen-Bao Liu

IEEE Access

DOI

2019

Approximate empirical kernel map-based iterative extreme learning machine for clustering

Chuangquan Chen, Chi-Man Vong, Pak-Kin Wong, Keng-Iam Tai

Neural computing & applications (Print)

DOI

2018

Efficient extreme learning machine via very sparse random projection

Chuangquan Chen, Chi-Man Vong, Chi-Chong Wong, Wei-Ru Wang, Pak-Kin Wong

Soft Computing - A Fusion of Foundations, Methodologies and Applications

DOI

2018

Empirical kernel map-based multilayer extreme learning machines for representation learning

Chi-Man Vong, Chuangquan Chen, Pak-Kin Wong

Neurocomputing

DOI

陈创泉

精选作品

期刊论文

Masked generative-contrastive representation learning for cross-dataset EEG-based emotion recognition

DDCL-Net: dual-domain collaborative learning network for EEG-based emotion recognition

Cognitive-Inspired Hierarchical Learning Framework for Cross-Dataset EEG-Based Emotion Recognition

STPA-Net: integrating spatio-temporal convolutional, multi-scale feature pyramid, and multi-attention mechanisms for EEG-based emotion decoding

Disentangled Multimodal Spatiotemporal Learning for Hybrid EEG-fNIRS Brain-Computer Interface

Joint learning across multi-source datasets for multi-modal emotion recognition under missing modalities

HSA-Former: Hierarchical Spatial Aggregation Transformer for EEG-Based Emotion Recognition

Three-Stage Progressive Learning for Simplifying Multimodal Emotion Recognition with Single-Modality Inference

Towards a nuanced classification of mental fatigue: A comprehensive review of detection techniques and prospective research

CBAM-DeepConvNet: Convolutional Block Attention Module-Deep Convolutional Neural Network for asymmetric visual evoked potentials recognition

Online learning with a hedge-based random vector functional link network using multi-forgetting factors

Subject-specific CNN model with parameter-based transfer learning for SSVEP detection

Tiny Data Is Sufficient: A Generalizable CNN Architecture for Temporal Domain Long Sequence Identification

Broad Multitask Learning System With Group Sparse Regularization

Comprehensive Multisource Learning Network for Cross-Subject Multimodal Emotion Recognition

Multi-Scale Masked Autoencoders for Cross-Session Emotion Recognition

Self-Attentive Channel-Connectivity Capsule Network for EEG-Based Driving Fatigue Detection

Class-Incremental Learning Method With Fast Update and High Retainability Based on Broad Learning System

ST-CapsNet: Linking Spatial and Temporal Attention With Capsule Network for P300 Detection Improvement

基于脑电信号的驾驶疲劳检测综述

An improved EEGNet for single-trial EEG classification in rapid serial visual presentation task

Fusing Frequency-Domain Features and Brain Connectivity Features for Cross-Subject Emotion Recognition

Easy Domain Adaptation for cross-subject multi-view emotion recognition

Scalable and memory-efficient sparse learning for classification with approximate Bayesian regularization priors

Brain-Controlled Wheelchair Review: From Wet Electrode to Dry Electrode, From Single Modal to Hybrid Modal, From Synchronous to Asynchronous

An Inverse-Free and Scalable Sparse Bayesian Extreme Learning Machine for Classification Problems

Linking Attention-Based Multiscale CNN With Dynamical GCN for Driving Fatigue Detection

Diverse Feature Blend Based on Filter-Bank Common Spatial Pattern and Brain Functional Connectivity for Multiple Motor Imagery Detection

Extreme semi-supervised learning for multiclass classification

Homo-ELM: fully homomorphic extreme learning machine

Supervised Extreme Learning Machine-Based Auto-Encoder for Discriminative Feature Learning

Approximate empirical kernel map-based iterative extreme learning machine for clustering

Efficient extreme learning machine via very sparse random projection

Empirical kernel map-based multilayer extreme learning machines for representation learning

研究方向