Fixed template network and dynamic template network: novel network designs for decoding steady-state visual evoked potentials

X Xiao, L Xu, J Yue, B Pan, M Xu, D Ming, Journal of Neural Engineering, 2022.

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Enhancing transfer performance across datasets for brain-computer interfaces using a combination of alignment strategies and adaptive batch normalization

L Xu, M Xu, Z Ma, K Wang, TP Jung, D Ming, Journal of Neural Engineering, 2021.

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Improving Transfer Performance of Deep Learning with Adaptive Batch Normalization for Brain-computer Interfaces

L Xu, Z Ma, J Meng, M Xu, TP Jung, D Ming, 43rd EMBC, 2021.

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Review of brain encoding and decoding mechanisms for EEG-based brain–computer interface

L Xu, M Xu, TP Jung, D Ming, Cognitive Neurodynamics, 2021.

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Cross-dataset variability problem in EEG decoding with deep learning

L Xu, M Xu, Y Ke, X An, S Liu, D Ming, Frontiers in human neuroscience, 2020.

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An source-based common spatial filter selection for improving mis-triggering problem in brain-computer interface based on motor imagery

L Xu, J Xu, K Wang, Z Wang, M Xu, F He, D Ming, H Qi, 8th iCAST, 2017.

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