Enhanced Z-LDA for Small Sample Size Training in Brain-Computer Interface Systems. - Dongrui Gao; Rui Zhang 018; Tiejun Liu; Fali Li; Teng Ma; Xulin Lv; Peiyang Li; Dezhong Yao 001; Peng Xu 001 (Comput. Math. Methods Medicine, 2015)

ICANet: a simple cascade linear convolution network for face recognition. - Yongqing Zhang; Tianyu Geng; Xi Wu 004; Jiliu Zhou; Dongrui Gao (EURASIP J. Image Video Process., 2018)

GRRFNet: Guided Regularized Random Forest-based Gene Regulatory Network Inference Using Data Integration. - Yongqing Zhang; Qingyuan Chen; Dongrui Gao; Quan Zou 001 (BIBM, 2020)

A Review About Transcription Factor Binding Sites Prediction Based on Deep Learning. - Yuanqi Zeng; Meiqin Gong; Meng Lin; Dongrui Gao; Yongqing Zhang (IEEE Access, 2020)

MFFNet: Multi-dimensional Feature Fusion Network based on attention mechanism for sEMG analysis to detect muscle fatigue. - Yongqing Zhang; Siyu Chen; Wenpeng Cao; Peng Guo; Dongrui Gao; Manqing Wang; Jiliu Zhou; Ting Wang (Expert Syst. Appl., 2021)

CAE-CNN: Predicting transcription factor binding site with convolutional autoencoder and convolutional neural network. - Yongqing Zhang; Shaojie Qiao; Yuanqi Zeng; Dongrui Gao; Nan Han; Jiliu Zhou (Expert Syst. Appl., 2021)

Hardware Trojan Detection Based on Ordered Mixed Feature GEP. - Huan Zhang; Jiliu Zhou; Dongrui Gao; Xinguo Wang 001; Zhefan Chen; Hongyu Wang (Secur. Commun. Networks, 2021)

SHNN: A single-channel EEG sleep staging model based on semi-supervised learning. - Yongqing Zhang; Wenpeng Cao; Lixiao Feng; Manqing Wang; Tianyu Geng; Jiliu Zhou; Dongrui Gao (Expert Syst. Appl., 2023)

T-A-MFFNet: Multi-feature fusion network for EEG analysis and driving fatigue detection based on time domain network and attention network. - Bo Peng; Yongqing Zhang; Manqing Wang; Jun Chen; Dongrui Gao (Comput. Biol. Chem., 2023)

A deep learning network based on CNN and sliding window LSTM for spike sorting. - Manqing Wang; Liangyu Zhang; Haixiang Yu; Siyu Chen; Xiaomeng Zhang; Yongqing Zhang; Dongrui Gao (Comput. Biol. Medicine, 2023)

An EEG-based Brain Cognitive Dynamic Recognition Network for representations of brain fatigue. - Pengrui Li; Yongqing Zhang; Shihong Liu; Liqi Lin; Haokai Zhang; Tian Tang; Dongrui Gao (Appl. Soft Comput., 2023)

Emotion recognition based on convolutional gated recurrent units with attention. - Zhu Ye; Yuan Jing; Qinghua Wang; Pengrui Li; Zhihong Liu; Mingjing Yan; Yongqing Zhang; Dongrui Gao (Connect. Sci., 2023)

A Local-Ascending-Global Learning Strategy for Brain-Computer Interface. - Dongrui Gao; Haokai Zhang; Pengrui Li; Tian Tang; Shihong Liu; Zhihong Zhou; Shaofei Ying; Ye Zhu; Yongqing Zhang (AAAI, 2024)

A multiscale feature fusion network based on attention mechanism for motor imagery EEG decoding. - Dongrui Gao; Wen Yang; Pengrui Li; Shihong Liu; Tiejun Liu; Manqing Wang; Yongqing Zhang (Appl. Soft Comput., 2024)

An EEG-based cross-subject interpretable CNN for game player expertise level classification. - Liqi Lin; Pengrui Li; Qinghua Wang; Binnan Bai; Ruifang Cui; Zhenxia Yu; Dongrui Gao; Yongqing Zhang (Expert Syst. Appl., 2024)

CSF-GTNet: A Novel Multi-Dimensional Feature Fusion Network Based on Convnext-GeLU- BiLSTM for EEG-Signals-Enabled Fatigue Driving Detection. - Dongrui Gao; Pengrui Li; Manqing Wang; Yujie Liang; Shihong Liu; Jiliu Zhou; Lutao Wang; Yongqing Zhang (IEEE J. Biomed. Health Informatics, 2024)

SFT-Net: A Network for Detecting Fatigue From EEG Signals by Combining 4D Feature Flow and Attention Mechanism. - Dongrui Gao; Kejie Wang; Manqing Wang; Jiliu Zhou; Yongqing Zhang (IEEE J. Biomed. Health Informatics, 2024)

CT-Net: an interpretable CNN-Transformer fusion network for fNIRS classification. - Lingxiang Liao; Jingqing Lu; Lutao Wang; Yongqing Zhang; Dongrui Gao; Manqing Wang (Medical Biol. Eng. Comput., 2024)

An EEG-based single-channel dual-stream automatic sleep staging network with transfer learning. - Shaofei Ying; Pengrui Li; Jiping Chen; Wenpeng Cao; Haokai Zhang; Dongrui Gao; Tiejun Liu (Appl. Soft Comput., 2025)

TSMNet: A comprehensive network based on spatio-temporal representations for SSVEP classification. - Liu Deng; Pengrui Li; Haokai Zhang; Qingyuan Zheng; Shihong Liu; Xinmin Ding; Manqing Wang; Dongrui Gao (Biomed. Signal Process. Control., 2025)

Convolutional attention-based adaptive separation network for EEG artefact removal. - Jiaqiang Wang; Jiaxin Xie; Pengrui Li; Shihong Liu; Xinmin Ding; Jun Chen; Lutao Wang; Dongrui Gao (Biomed. Signal Process. Control., 2025)

FCS-TPNet: Fusion of fNIRS chromophore signals to construct temporal-spatial graph representation for topological networks. - Lin Yang; Jiacheng Gu; Jun Chen; Dongrui Gao; Manqing Wang (Biomed. Signal Process. Control., 2025)

A coupling of common-private topological patterns learning approach for cross-subject emotion recognition. - Haokai Zhang; Pengrui Li; Hongli Chang; Shihong Liu; Yun Qin; Jiaxin Xie; Manqing Wang; Dongrui Gao; Dingming Wu 004 (Biomed. Signal Process. Control., 2025)

A multi-domain constraint learning system inspired by adaptive cognitive graphs for emotion recognition. - Dongrui Gao; Mengwen Liu; Haokai Zhang; Manqing Wang; Hongli Chang; Gaoxiang Ouyang; Shihong Liu; Pengrui Li (Neural Networks, 2025)

A Comprehensive Adaptive Interpretable Takagi-Sugeno-Kang Fuzzy Classifier for Fatigue Driving Detection. - Dongrui Gao; Shihong Liu; Yingxian Gao; Pengrui Li; Haokai Zhang; Manqing Wang; Yan Shen 001; Lutao Wang; Yongqing Zhang (IEEE Trans. Fuzzy Syst., 2025)

An Efficient Graph Learning System for Emotion Recognition Inspired by the Cognitive Prior Graph of EEG Brain Network. - Cunbo Li; Tian Tang; Yue Pan; Lei Yang; Shuhan Zhang; Zhaojin Chen; Peiyang Li; Dongrui Gao; Huafu Chen; Fali Li; Dezhong Yao 001; Zehong Cao; et al. (IEEE Trans. Neural Networks Learn. Syst., 2025)

DMPNet: dual-modal parallel network with spatiotemporal fusion for cognitive task classification. - Manqing Wang; Jiacheng Gu; Lin Yang; Hongli Chang; Dongrui Gao (Signal Image Video Process., 2025)