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Guangyi Zhang
Guangyi Zhang
Harvard Medical School
Verified email at mgh.harvard.edu - Homepage
Title
Cited by
Cited by
Year
Classification of hand movements from EEG using a deep attention-based LSTM network
G Zhang, V Davoodnia, A Sepas-Moghaddam, Y Zhang, A Etemad
IEEE Sensors Journal 20 (6), 3113-3122, 2019
1872019
Capsule Attention for Multimodal EEG-EOG Representation Learning With Application to Driver Vigilance Estimation
G Zhang, SA Etemad
IEEE Transactions on Neural Systems and Rehabilitation Engineering 29, 1138-1149, 2021
91*2021
PARSE: Pairwise alignment of representations in semi-supervised eeg learning for emotion recognition
G Zhang, V Davoodnia, A Etemad
IEEE Transactions on Affective Computing 13 (4), 2185-2200, 2022
412022
Spatio-temporal EEG representation learning on Riemannian manifold and Euclidean space
G Zhang, A Etemad
IEEE Transactions on Emerging Topics in Computational Intelligence, 1-15, 2023
30*2023
Deep recurrent semi-supervised eeg representation learning for emotion recognition
G Zhang, A Etemad
9th International Conference on Affective Computing and Intelligent …, 2021
262021
Distilling EEG representations via capsules for affective computing
G Zhang, A Etemad
Patter Recognition Letters, 2023
222023
Non-invasive detection of low-level muscle fatigue using surface EMG with wavelet decomposition
G Zhang, E Morin, Y Zhang, SA Etemad
40th Annual International Conference of the IEEE Engineering in Medicine and …, 2018
222018
Holistic Semi-Supervised Approaches for EEG Representation Learning
G Zhang, A Etemad
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2021
112021
Partial Label Learning for Emotion Recognition from EEG
G Zhang, A Etemad
arXiv preprint arXiv:2302.13170, 2023
12023
Big team science reveals promises and limitations of machine learning efforts to model the physiological basis of affective experience
NA Coles, B Perz, M Behnke, J Eichstaedt, SH Kim, TN Vu, C Raman, ...
OSF, 2024
2024
Pairwise Representation Alignment for Semi-Supervised EEG-based Emotion Recognition
G Zhang, A Etemad
AAAI Workshop on Human-Centric Self-Supervised Learning, 2022
2022
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Articles 1–11