Dongrui Gao

According to our database, Dongrui Gao authored at least 35 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Dynamic Topology Networks for Driving Vigilance Recognition to Enhance Human-Machine Interaction.

Xuebing Xu, Gaofeng Chang, Liping Xie, Shihong Liu, Meng Tang, Xinmin Ding, Dongrui Gao

IEEE Trans. Consumer Electron., May, 2026

Channel Graph Neural Network Revealing Multimodal Brain Connectivity Abnormalities in Schizophrenia.

Jinnan Gong, Rui Ma, Roberto Rodríguez-Labrada, Yanbing Zhu, Hongrui Lin, Yufan Zhou, Yafeng Wang, Dongrui Gao, Dezhong Yao, Sisi Jiang, Cheng Luo

Int. J. Neural Syst., May, 2026

Multilevel prototype constraints based on hyperbolic space for EEG auditory attention decoding.

Dongrui Gao, Jian Ning, Zongyao Peng, Meng Tang, Aisen Deng, Shihong Liu, Xinmin Ding, Manqing Wang, Lutao Wang, Liping Xie, Pengrui Li

Pattern Recognit., 2026

An adaptive decoupling learning system informed by the brain functional structure for EEG decoding.

Pengrui Li, Maoqin Peng, Haokai Zhang, Shihong Liu, Dongrui Gao, Yun Qin, Dingming Wu, Tiejun Liu

Neural Networks, 2026

An efficient brain-heart coupling learning system for emotion recognition.

Dongrui Gao, Liu Deng, Zongyao Peng, Qinghua Wang, Haokai Zhang, Shihong Liu, Dingming Wu, Pengrui Li

Neural Networks, 2026

SMCL: Siamese contrastive learning informed by EEG spatiotemporal representations for auditory attention decoding.

Dongrui Gao, Jian Ning, Zongyao Peng, Min Wang, Liping Xie, Haokai Zhang, Shihong Liu, Hongli Chang, Dingming Wu, Pengrui Li

Biomed. Signal Process. Control., 2026

Brain-Adapter: Fine-grained visual reconstruction from EEG via lightweight semantic alignment.

Dongrui Gao, Taorui Li, Shihong Liu, Zongyao Peng, Pengrui Li, Xinmin Ding, Manqing Wang, Hongli Chang, Ying Fu

Biomed. Signal Process. Control., 2026

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., September, 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, Zehong Cao, Peng Xu

IEEE Trans. Neural Networks Learn. Syst., April, 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, Lutao Wang, Yongqing Zhang

IEEE Trans. Fuzzy Syst., January, 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 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

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

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

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

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

EEG2Mesh: High-Quality 3D Mesh Generation from EEG.

Ying Fu, Qiaoyu Chen, Chenggang Song, Taorui Li, Zhipeng Yang, Dongrui Gao

Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025

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., October, 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, August, 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, May, 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., March, 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., January, 2024

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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., December, 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., October, 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, June, 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., June, 2023

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

2021

Hardware Trojan Detection Based on Ordered Mixed Feature GEP.

Huan Zhang, Jiliu Zhou, Dongrui Gao, Xinguo Wang, Zhefan Chen, Hongyu Wang

Secur. Commun. Networks, 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

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

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

GRRFNet: Guided Regularized Random Forest-based Gene Regulatory Network Inference Using Data Integration.

Yongqing Zhang, Qingyuan Chen, Dongrui Gao, Quan Zou

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2018

ICANet: a simple cascade linear convolution network for face recognition.

Yongqing Zhang, Tianyu Geng, Xi Wu, Jiliu Zhou, Dongrui Gao

EURASIP J. Image Video Process., 2018

2015

Enhanced Z-LDA for Small Sample Size Training in Brain-Computer Interface Systems.

Dongrui Gao, Rui Zhang, Tiejun Liu, Fali Li, Teng Ma, Xulin Lv, Peiyang Li, Dezhong Yao, Peng Xu

Comput. Math. Methods Medicine, 2015