3 papers
eess.SP2024
WaveSleepNet: An Interpretable Network for Expert-like Sleep Staging
Yan Pei, Wei Luo
Although deep learning algorithms have proven their efficiency in automatic sleep staging, the widespread skepticism about their "black-box" nature has limited its clinical accepta…
eess.SP2023
DTP-Net: Learning to Reconstruct EEG signals in Time-Frequency Domain by Multi-scale Feature Reuse
Yan Pei, Jiahui Xu, Qianhao Chen +4
Electroencephalography (EEG) signals are easily corrupted by various artifacts, making artifact removal crucial for improving signal quality in scenarios such as disease diagnosis…
cs.NE2019
Learning Longer-term Dependencies via Grouped Distributor Unit
Wei Luo, Feng Yu
Learning long-term dependencies still remains difficult for recurrent neural networks (RNNs) despite their success in sequence modeling recently. In this paper, we propose a novel…