Non-invasive detection of low-level muscle fatigue using surface EMG with wavelet decomposition. - Guangyi Zhang 003; Evelyn Morin; Yaoxue Zhang; S. Ali Etemad (EMBC, 2018)

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network. - Guangyi Zhang 003; Vandad Davoodnia; Alireza Sepas-Moghaddam; Yaoxue Zhang; S. Ali Etemad (CoRR, 2019)

Capsule Attention for Multimodal EEG and EOG Spatiotemporal Representation Learning with Application to Driver Vigilance Estimation. - Guangyi Zhang 003; S. Ali Etemad (CoRR, 2019)

RFNet: Riemannian Fusion Network for EEG-based Brain-Computer Interfaces. - Guangyi Zhang 003; S. Ali Etemad (CoRR, 2020)

Deep Recurrent Semi-Supervised EEG Representation Learning for Emotion Recognition. - Guangyi Zhang 003; Ali Etemad (ACII, 2021)

Holistic Semi-Supervised Approaches for EEG Representation Learning. - Guangyi Zhang 003; Ali Etemad (ICASSP, 2022)

PARSE: Pairwise Alignment of Representations in Semi-Supervised EEG Learning for Emotion Recognition. - Guangyi Zhang 003; Ali Etemad (CoRR, 2022)

PARSE: Pairwise Alignment of Representations in Semi-Supervised EEG Learning for Emotion Recognition. - Guangyi Zhang 003; Vandad Davoodnia; Ali Etemad (IEEE Trans. Affect. Comput., 2022)

Partial Label Learning for Emotion Recognition from EEG. - Guangyi Zhang 003; Ali Etemad (CoRR, 2023)

Distilling EEG representations via capsules for affective computing. - Guangyi Zhang 003; Ali Etemad (Pattern Recognit. Lett., 2023)

Spatio-Temporal EEG Representation Learning on Riemannian Manifold and Euclidean Space. - Guangyi Zhang 003; Ali Etemad (IEEE Trans. Emerg. Top. Comput. Intell., 2024)