Multi-Scale Hyperbolic Contrastive Learning for Cross-Subject EEG Emotion Recognition

Jiang Chang, Zhixin Zhang, Yuhua Qian, Pan Lin

Electroencephalography (EEG) serves as a reliable and objective signal for affective computing applications. However, individual differences in EEG signals pose a significant challenge for emotion recognition tasks across subjects.

IEEE Transactions on Affective Computing

Trusted Multi-View Classification via Evolutionary Multi-View Fusion

Xinyan Liang, Pinhan Fu, Yuhua Qian, Qian Guo, Guoqing Liu

Multi-view classification based on the Dempster-Shafer theory is widely recognized for its reliability in safety-critical domains with multi-view data.

ICLR 2025