activity
20192023
most citedDetecting causality in multivariate time series via non-uniform embedding

26 citations · 70 across the 6 of their papers we have counts for

collaborators

6 papers

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…

cs.LG2021★ 15 cited

HetEmotionNet: Two-Stream Heterogeneous Graph Recurrent Neural Network for Multi-modal Emotion Recognition

Ziyu Jia, Youfang Lin, Jing Wang +3

The research on human emotion under multimedia stimulation based on physiological signals is an emerging field, and important progress has been achieved for emotion recognition bas…

cs.LG2021★ 13 cited

SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging

Ziyu Jia, Youfang Lin, Jing Wang +3

Sleep staging is fundamental for sleep assessment and disease diagnosis. Although previous attempts to classify sleep stages have achieved high classification performance, several…

stat.ME2019★ 26 cited

Detecting causality in multivariate time series via non-uniform embedding

Ziyu Jia, Youfang Lin, Zehui Jiao +2

Causal analysis based on non-uniform embedding schemes is an important way to detect the underlying interactions between dynamic systems. However, there are still some obstacles to…