112 citations · 129 across the 5 of their papers we have counts for
5 papers
EEG-based Sleep Staging with Hybrid Attention
Xinliang Zhou, Chenyu Liu, Jiaping Xiao +1
Sleep staging is critical for assessing sleep quality and diagnosing sleep disorders. However, capturing both the spatial and temporal relationships within electroencephalogram (EE…
EENED: End-to-End Neural Epilepsy Detection based on Convolutional Transformer
Chenyu Liu, Xinliang Zhou, Yang Liu
Recently Transformer and Convolution neural network (CNN) based models have shown promising results in EEG signal processing. Transformer models can capture the global dependencies…
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…
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…
Federated Transfer Learning for EEG Signal Classification
Ce Ju, Dashan Gao, Ravikiran Mane +3
The success of deep learning (DL) methods in the Brain-Computer Interfaces (BCI) field for classification of electroencephalographic (EEG) recordings has been restricted by the lac…