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2020 – today
- 2024
[j16]Dongrui Gao, Wen Yang, Pengrui Li
, Shihong Liu, Tiejun Liu, Manqing Wang, Yongqing Zhang:
A multiscale feature fusion network based on attention mechanism for motor imagery EEG decoding. Appl. Soft Comput. 151: 111129 (2024)- [j15]Liqi Lin, Pengrui Li, Qinghua Wang, Binnan Bai, Ruifang Cui, Zhenxia Yu, Dongrui Gao, Yongqing Zhang:
An EEG-based cross-subject interpretable CNN for game player expertise level classification. Expert Syst. Appl. 237(Part C): 121658 (2024) - [j14]Lingxiang Liao, Jingqing Lu, Lutao Wang, Yongqing Zhang, Dongrui Gao, Manqing Wang:
CT-Net: an interpretable CNN-Transformer fusion network for fNIRS classification. Medical Biol. Eng. Comput. 62(10): 3233-3247 (2024) - [j13]Dongrui Gao, Pengrui Li, Manqing Wang, Yujie Liang, Shihong Liu, Jiliu Zhou, Lutao Wang, Yongqing Zhang:
CSF-GTNet: A Novel Multi-Dimensional Feature Fusion Network Based on Convnext-GeLU- BiLSTM for EEG-Signals-Enabled Fatigue Driving Detection. IEEE J. Biomed. Health Informatics 28(5): 2558-2568 (2024) - [j12]Dongrui Gao, Kejie Wang, Manqing Wang, Jiliu Zhou, Yongqing Zhang:
SFT-Net: A Network for Detecting Fatigue From EEG Signals by Combining 4D Feature Flow and Attention Mechanism. IEEE J. Biomed. Health Informatics 28(8): 4444-4455 (2024) - [c2]Dongrui Gao, Haokai Zhang, Pengrui Li, Tian Tang, Shihong Liu, Zhihong Zhou, Shaofei Ying, Ye Zhu, Yongqing Zhang:
A Local-Ascending-Global Learning Strategy for Brain-Computer Interface. AAAI 2024: 10039-10047 - 2023
- [j11]Pengrui Li, Yongqing Zhang, Shihong Liu, Liqi Lin, Haokai Zhang, Tian Tang, Dongrui Gao:
An EEG-based Brain Cognitive Dynamic Recognition Network for representations of brain fatigue. Appl. Soft Comput. 146: 110613 (2023) - [j10]Bo Peng, Yongqing Zhang, Manqing Wang, Jun Chen, Dongrui Gao:
T-A-MFFNet: Multi-feature fusion network for EEG analysis and driving fatigue detection based on time domain network and attention network. Comput. Biol. Chem. 104: 107863 (2023) - [j9]Manqing Wang, Liangyu Zhang, Haixiang Yu, Siyu Chen, Xiaomeng Zhang, Yongqing Zhang, Dongrui Gao:
A deep learning network based on CNN and sliding window LSTM for spike sorting. Comput. Biol. Medicine 159: 106879 (2023) - [j8]Zhu Ye, Yuan Jing, Qinghua Wang, Pengrui Li, Zhihong Liu, Mingjing Yan, Yongqing Zhang, Dongrui Gao:
Emotion recognition based on convolutional gated recurrent units with attention. Connect. Sci. 35(1) (2023) - [j7]Yongqing Zhang, Wenpeng Cao, Lixiao Feng, Manqing Wang, Tianyu Geng, Jiliu Zhou, Dongrui Gao:
SHNN: A single-channel EEG sleep staging model based on semi-supervised learning. Expert Syst. Appl. 213(Part): 119288 (2023) - 2021
- [j6]Yongqing Zhang, Shaojie Qiao, Yuanqi Zeng, Dongrui Gao, Nan Han, Jiliu Zhou:
CAE-CNN: Predicting transcription factor binding site with convolutional autoencoder and convolutional neural network. Expert Syst. Appl. 183: 115404 (2021) - [j5]Yongqing Zhang, Siyu Chen, Wenpeng Cao, Peng Guo, Dongrui Gao, Manqing Wang, Jiliu Zhou, Ting Wang:
MFFNet: Multi-dimensional Feature Fusion Network based on attention mechanism for sEMG analysis to detect muscle fatigue. Expert Syst. Appl. 185: 115639 (2021) - [j4]Huan Zhang, Jiliu Zhou, Dongrui Gao, Xinguo Wang, Zhefan Chen, Hongyu Wang:
Hardware Trojan Detection Based on Ordered Mixed Feature GEP. Secur. Commun. Networks 2021: 6682674:1-6682674:9 (2021) - 2020
- [j3]Yuanqi Zeng, Meiqin Gong, Meng Lin, Dongrui Gao, Yongqing Zhang:
A Review About Transcription Factor Binding Sites Prediction Based on Deep Learning. IEEE Access 8: 219256-219274 (2020) - [c1]Yongqing Zhang, Qingyuan Chen, Dongrui Gao, Quan Zou:
GRRFNet: Guided Regularized Random Forest-based Gene Regulatory Network Inference Using Data Integration. BIBM 2020: 132-139
2010 – 2019
- 2018
- [j2]Yongqing Zhang, Tianyu Geng, Xi Wu, Jiliu Zhou, Dongrui Gao:
ICANet: a simple cascade linear convolution network for face recognition. EURASIP J. Image Video Process. 2018: 51 (2018) - 2015
- [j1]Dongrui Gao, Rui Zhang, Tiejun Liu, Fali Li, Teng Ma, Xulin Lv, Peiyang Li, Dezhong Yao, Peng Xu:
Enhanced Z-LDA for Small Sample Size Training in Brain-Computer Interface Systems. Comput. Math. Methods Medicine 2015: 680769:1-680769:7 (2015)
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last updated on 2024-10-04 20:58 CEST by the dblp team
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