Yu Zhang
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A survey on deep learning-based non-invasive brain signals: recent advances and new frontiers
X Zhang, L Yao, X Wang, J Monaghan, D Mcalpine, Y Zhang
Journal of Neural Engineering 18 (3), 031002, 2021
Frequency Recognition in SSVEP-based BCI using Multiset Canonical Correlation Analysis
Y Zhang, G Zhou, J Jin, X Wang, A Cichocki
International Journal of Neural Systems 24 (4), 1450013 (14 pages), 2014
Hybrid high-order functional connectivity networks using resting-state functional MRI for mild cognitive impairment diagnosis
Y Zhang, H Zhang, X Chen, SW Lee, D Shen
Scientific Reports 7 (1), 6530, 2017
Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCI
Y Zhang, CS Nam, G Zhou, J Jin, X Wang, A Cichocki
IEEE Transactions on Cybernetics 49 (9), 3322-3332, 2019
Sparse Bayesian Classification of EEG for Brain-Computer Interface
Y Zhang, G Zhou, J Jin, Q Zhao, X Wang, A Cichocki
IEEE Transactions on Neural Networks and Learning Systems 27 (11), 2256-2267, 2016
Optimizing spatial patterns with sparse filter bands for motor-imagery based brain–computer interface
Y Zhang, G Zhou, J Jin, X Wang, A Cichocki
Journal of Neuroscience Methods 255, 85-91, 2015
L1-Regularized Multiway Canonical Correlation Analysis for SSVEP-Based BCI
Y Zhang, G Zhou, J Jin, M Wang, X Wang, A Cichocki
IEEE Transactions on Neural Systems and Rehabilitation Engineering 21 (6 …, 2013
Multi-kernel extreme learning machine for EEG classification in brain-computer interfaces
Y Zhang, Y Wang, G Zhou, J Jin, B Wang, X Wang, A Cichocki
Expert Systems with Applications 96, 302-310, 2018
RAU: An Interpretable Automatic Infection Diagnosis of COVID-19 Pneumonia with Residual Attention U-Net
X Chen, L Yao, Y Zhang
Web Information Systems Engineering–WISE 2021: 22nd International Conference …, 2021
An electroencephalographic signature predicts antidepressant response in major depression
W Wu, Y Zhang, J Jiang, MV Lucas, GA Fonzo, CE Rolle, C Cooper, ...
Nature Biotechnology 38 (4), 439-447, 2020
A Novel EOG/EEG Hybrid Human–Machine Interface Adopting Eye Movements and ERPs: Application to Robot Control
J Ma, Y Zhang, A Cichocki, F Matsuno
IEEE Transactions on Biomedical Engineering 62 (3), 876-889, 2015
Sparse Bayesian Learning for obtaining sparsity of EEG frequency bands based feature vectors in Motor Imagery Classification
Y Zhang, Y Wang, J Jin, X Wang
International Journal of Neural Systems 27 (2), 1650032, 2017
Group Component Analysis for Multiblock Data: Common and Individual Feature Extraction
G Zhou, A Cichocki, Y Zhang, DP Mandic
IEEE Transactions on Neural Networks and Learning Systems, 2015
Linked Component Analysis From Matrices to High-Order Tensors: Applications to Biomedical Data
G Zhou, Q Zhao, Y Zhang, T Adali, S Xie, A Cichocki
Proceedings of the IEEE 104 (2), 310-331, 2016
Sparse Group Representation Model for Motor Imagery EEG Classification
Y Jiao, Y Zhang, X Chen, E Yin, J Jin, X Wang, A Cichocki
IEEE Journal of Biomedical and Health Informatics 23 (2), 631-641, 2019
Multiway canonical correlation analysis for frequency components recognition in SSVEP-based BCIs
Y Zhang, G Zhou, Q Zhao, A Onishi, J Jin, X Wang, A Cichocki
Neural Information Processing: 18th International Conference, ICONIP 2011 …, 2011
A novel BCI based on ERP components sensitive to configural processing of human faces
Y Zhang, Q Zhao, J Jin, X Wang, A Cichocki
Journal of Neural Engineering 9 (2), 026018, 2012
Momentum contrastive learning for few-shot COVID-19 diagnosis from chest CT images
X Chen, L Yao, T Zhou, J Dong, Y Zhang
Pattern Recognition 113, 2021
The changing face of P300 BCIs: a comparison of stimulus changes in a P300 BCI involving faces, emotion, and movement
J Jin, BZ Allison, T Kaufmann, A Kübler, Y Zhang, X Wang, A Cichocki
PLoS One 7 (11), e49688, 2012
EEG classification using sparse Bayesian extreme learning machine for brain–computer interface
Z Jin, G Zhou, D Gao, Y Zhang
Neural Computing and Applications 32, 6601-6609, 2020
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