Convolutional neural network and riemannian geometry hybrid approach for motor imagery classification. - Chang Gao 003; Wenchao Liu 004; Xian Yang (Neurocomputing, 2022)

A Study of Prototypical Network Techniques for Cross-Subject EEG Analysis. - Wenchao Liu 004; Guagnyu Wang; Yuhong He; Hongjian Bo; Lin Ma 003; Haifeng Li 001 (ECAI, 2024)

Enhancing Micro-Expression Analysis Performance by Effectively Addressing Data Imbalance. - Yuhong He; Wenchao Liu 004; Guangyu Wang; Lin Ma 003; Haifeng Li 001 (ACM Multimedia, 2024)

EEGPT: Pretrained Transformer for Universal and Reliable Representation of EEG Signals. - Guangyu Wang; Wenchao Liu 004; Yuhong He; Cong Xu; Lin Ma 003; Haifeng Li 001 (NeurIPS, 2024)

A cross-session motor imagery classification method based on Riemannian geometry and deep domain adaptation. - Wenchao Liu 004; Changjiang Guo; Chang Gao 003 (Expert Syst. Appl., 2024)