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教授

Academic Titles:数据工程系主任

Other Post:数据工程与可视计算重点实验室副主任

Paper Publications

[1]Multi-level hierarchical dynamic graph convolutional networks for motor imagery EEG analysis.[J].Neurocomputing,2025,626:129594.
[2]A novel multi-source contrastive learning approach for robust cross-subject emotion recognition in EEG data.[J].Biomedical Signal Processing and Control,2024,97:106716.
[3]Graph-based Information Separator and Area Convolutional Network for EEG-based Intention Decoding.[J].IEEE Transactions on Cognitive and Developmental Systems,
[4]A GAN model encoded by CapsEEGNet for visual EEG encoding and image reproduction.[J].Journal of Neuroscience Methods,2023,384:109747.
[5]Classifying ASD based on time-series fMRI using spatial-temporal transformer.[J].Computers in Biology and Medicine,2022,151:106320.
[6]Deng Xin，Sun Kaiwei,Lv Xiangwei.SparNet: A Convolutional Neural Network for EEG Space-Frequency Feature Learning and Depression Discrimination.[J].Frontiers in Neuroinformatics,2022,16:1-15.
[7]Xu Furong，Wang Guoyin,Deng Xin,Yu Zhuliang.EEG extended source imaging with structured sparsity and L1 -norm residual.[J].Neural Computing and Applications,2021,33(14):8513-8524.
[8]Deng Xin，Sun Kaiwei,Liu Ke,Lv Xiangwei.EEG Analysis of Working Memory Between Sober State and Intoxicated State.[J].Access,2021,9:145900-145911.
[9]Deng Xin，Sun Kaiwei,Liu Ke,Yu Nian.Advanced TSGL-EEGNet for Motor Imagery EEG-Based Brain-Computer Interfaces.[J].Access,2021,9:25118-25130.
[10]Liu Ke，Deng Xin,Yu Zhuliang.EEG Extended Source Imaging with Structured Sparsity and L1-norm Residual.[J].Neural Computing and Applications,2021,33:8513-8524.

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