Empirical kernel map-based multilayer extreme learning machines for representation learning. - Chi-Man Vong; Chuangquan Chen; Pak-Kin Wong 001 (Neurocomputing, 2018)

Efficient extreme learning machine via very sparse random projection. - Chuangquan Chen; Chi-Man Vong; Chiman Wong; Weiru Wang 001; Pak-Kin Wong 001 (Soft Comput., 2018)

Supervised Extreme Learning Machine-Based Auto-Encoder for Discriminative Feature Learning. - Jie Du 001; Chi-Man Vong; Chuangquan Chen; Peng Liu 070; Zhenbao Liu (IEEE Access, 2020)

Diverse Feature Blend Based on Filter-Bank Common Spatial Pattern and Brain Functional Connectivity for Multiple Motor Imagery Detection. - Hongtao Wang 001; Tao Xu 010; Cong Tang; Hongwei Yue; Chuangquan Chen; Linfeng Xu; Zian Pei; Jiajun Dong; Anastasios Bezerianos; Junhua Li (IEEE Access, 2020)

Extreme semi-supervised learning for multiclass classification. - Chuangquan Chen; Yanfen Gan; Chi-Man Vong (Neurocomputing, 2020)

Homo-ELM: fully homomorphic extreme learning machine. - Weiru Wang 001; Yanfen Gan; Chi-Man Vong; Chuangquan Chen (Int. J. Mach. Learn. Cybern., 2020)

Approximate empirical kernel map-based iterative extreme learning machine for clustering. - Chuangquan Chen; Chi-Man Vong; Pak-Kin Wong 001; Keng Iam Tai (Neural Comput. Appl., 2020)

An Inverse-Free and Scalable Sparse Bayesian Extreme Learning Machine for Classification Problems. - Jiahua Luo; Chi-Man Vong; Zhenbao Liu; Chuangquan Chen (IEEE Access, 2021)

Brain-Controlled Wheelchair Review: From Wet Electrode to Dry Electrode, From Single Modal to Hybrid Modal, From Synchronous to Asynchronous. - Hongtao Wang 001; Fan Yan; Tao Xu 010; Haojun Yin; Peng Chen; Hongwei Yue; Chuangquan Chen; Hongfei Zhang; Linfeng Xu; Yuebang He; Anastasios Bezerianos (IEEE Access, 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, 2021)

Linking Attention-Based Multiscale CNN With Dynamical GCN for Driving Fatigue Detection. - Hongtao Wang 001; Linfeng Xu; Anastasios Bezerianos; Chuangquan Chen; Zhi Guo Zhang 001 (IEEE Trans. Instrum. Meas., 2021)

Improving differential evolution using a best discarded vector selection strategy. - Zhiqiang Zeng; Zhiyong Hong; Huanhuan Zhang; Min Zhang; Chuangquan Chen (Inf. Sci., 2022)

Easy Domain Adaptation for cross-subject multi-view emotion recognition. - Chuangquan Chen; Chi-Man Vong; Shitong Wang 001; Hongtao Wang 001; Miaoqi Pang (Knowl. Based Syst., 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 001 (IEEE Trans. Instrum. Meas., 2022)

NRSTRNet: A Novel Network for Noise-Robust Scene Text Recognition. - Hongwei Yue; Yufeng Huang; Chi-Man Vong; Yingying Jin; Zhiqiang Zeng; Mingqi Yu; Chuangquan Chen (Int. J. Comput. Intell. Syst., 2023)

Research on Distributed Heterogeneous Factory Task Assignment Problem With Loading Efficiency Constraints: A Case Study. - Meisong Zhong; Zhiqiang Zeng; Zhiyong Hong; Chuangquan Chen (IEEE Access, 2024)

MNeRV: A Multilayer Neural Representation for Videos. - Qingling Chang; Haohui Yu; Shuxuan Fu; Zhiqiang Zeng; Chuangquan Chen (CoRR, 2024)

Billion-scale pre-trained knowledge graph model for conversational chatbot. - Chi-Man Wong; Fan Feng; Wen Zhang 015; Huajun Chen; Chi-Man Vong; Chuangquan Chen (Neurocomputing, 2024)

DDIO-Mapping: A Fast and Robust Visual-Inertial Odometry for Low-Texture Environment Challenge. - Xinyu Jiang; Heng Li; Chuangquan Chen; Yongquan Chen; Junlang Huang; Zuguang Zhou; Yimin Zhou 001; Chi-Man Vong (IEEE Trans. Ind. Informatics, 2024)

Class-Incremental Learning Method With Fast Update and High Retainability Based on Broad Learning System. - Jie Du 001; Peng Liu 070; Chi-Man Vong; Chuangquan Chen; Tianfu Wang 001; C. L. Philip Chen (IEEE Trans. Neural Networks Learn. Syst., 2024)

Weakly Supervised Semantic Segmentation via Dual-Stream Contrastive Learning of Cross-Image Contextual Information. - Qi Lai; Chi-Man Vong; Chuangquan Chen (IEEE Trans. Ind. Informatics, 2024)

A new glass segmentation network with indoor and outdoor panoramic images. - Qingling Chang; Xiaofei Meng; Yan Cui; Chi-Man Vong; Chuangquan Chen (Appl. Soft Comput., 2025)

Subject-specific CNN model with parameter-based transfer learning for SSVEP detection. - Zhouyu Ji; Tao Xu 010; Chuangquan Chen; Haojun Yin; Feng Wan; Hongtao Wang 001 (Biomed. Signal Process. Control., 2025)

Comprehensive Multisource Learning Network for Cross-Subject Multimodal Emotion Recognition. - Chuangquan Chen; Zhencheng Li; Kit Ian Kou; Jie Du 001; Chen Li 058; Hongtao Wang 001; Chi-Man Vong (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Broad Multitask Learning System With Group Sparse Regularization. - Jintao Huang; Chuangquan Chen; Chi-Man Vong; Yiu-Ming Cheung (IEEE Trans. Neural Networks Learn. Syst., 2025)

Tiny Data Is Sufficient: A Generalizable CNN Architecture for Temporal Domain Long Sequence Identification. - Chen Li 058; Xianwei Zheng; Chuangquan Chen; Zicong Deng; Yiqing Shu (IEEE Trans. Neural Networks Learn. Syst., 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 001 (Biomed. Signal Process. Control., 2026)