Publication
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.
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.
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.
Review of brain encoding and decoding mechanisms for EEG-based brain–computer interface
L Xu, M Xu, TP Jung, D Ming, Cognitive Neurodynamics, 2021.
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.
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.