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Journal of Neural Engineering|February 10, 2023
Filter bank sinc-convolutional network with channel self-attention for high performance motor imagery decodingJiaming Chen, Dan Wang, Weibo Yi, et al.
Bioengineering (Basel, Switzerland)|May 27, 2023
Transformer-Based Network with Optimization for Cross-Subject Motor Imagery IdentificationXiyue Tan, Dan Wang, Jiaming Chen, et al.
Bioengineering (Basel, Switzerland)|September 27, 2024
Efficient Multi-View Graph Convolutional Network with Self-Attention for Multi-Class Motor Imagery DecodingXiyue Tan, Dan Wang, Meng Xu, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Filter Bank Sinc-ShallowNet with EMD-based Mixed Noise Adding Data Augmentation for Motor Imagery ClassificationJiaming Chen, Weibo Yi, Dan Wang
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
MCFHNet: Multi-Channel Fusion Hybrid Network for Efficient EEG-fNIRS Multi-modal Motor Imagery DecodingJiaming Chen, Dan Wang, Bo Hu, et al.
Journal of Neural Engineering|January 5, 2022
FB-CGANet: filter bank channel group attention network for multi-class motor imagery classificationJiaming Chen, Weibo Yi, Dan Wang, et al.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi|April 30, 2024
[A review on electroencephalogram based channel selection]Xiangzhe Li, Dan Wang, Baiwen Zhang, et al.
IEEE Transactions on Bio-Medical Engineering|February 2, 2024
CRE-TSCAE: A Novel Classification Model Based on Stacked Convolutional Autoencoder for Dual-Target RSVP-BCI TasksHongying Chen, Dan Wang, Meng Xu, et al.
IEEE Transactions on Bio-Medical Engineering|August 29, 2025
A Decade of Rapid Serial Visual Presentation Paradigm in Brain-Computer Interface for Target Detection: Current Status and TrendsMeng Xu, Baiwen Zhang, Lijian Zhang, et al.
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