26 citations · 70 across the 6 of their papers we have counts for
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eess.SP2023
An EEG Channel Selection Framework for Driver Drowsiness Detection via Interpretability Guidance
Xinliang Zhou, Dan Lin, Ziyu Jia +4
Drowsy driving has a crucial influence on driving safety, creating an urgent demand for driver drowsiness detection. Electroencephalogram (EEG) signal can accurately reflect the me…
eess.SP2023★ 16 cited
Interpretable and Robust AI in EEG Systems: A Survey
Xinliang Zhou, Chenyu Liu, Jinan Zhou +5
The close coupling of artificial intelligence (AI) and electroencephalography (EEG) has substantially advanced human-computer interaction (HCI) technologies in the AI era. Differen…
eess.SP2021
Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification
Ziyu Jia, Youfang Lin, Jing Wang +5
Sleep stage classification is essential for sleep assessment and disease diagnosis. Although previous attempts to classify sleep stages have achieved high classification performanc…