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Zhengri Zhu

2 accepted papers

2024

VBH-GNN: Variational Bayesian Heterogeneous Graph Neural Networks for Cross-subject Emotion Recognition

ICLR 2024poster

The research on human emotion under electroencephalogram (EEG) is an emerging field in which cross-subject emotion recognition (ER) is a promising but challenging task. Many approaches attempt to find emotionally relevant domain-invariant features using domain adaptation (DA) to improve the accuracy…

Cited by 10SourcePDFScholar
2024

VSGT: Variational Spatial and Gaussian Temporal Graph Models for EEG-based Emotion Recognition

IJCAI 2024poster

Electroencephalogram (EEG), which directly reflects the emotional activity of the brain, has been increasingly utilized for emotion recognition. Most works exploit the spatial and temporal dependencies in EEG to learn emotional feature representations, but they still have two limitations to reach th…

Cited by 1SourcePDFScholar