Advanced TSGL-EEGNet for motor imagery EEG-based brain-computer interfaces X Deng, B Zhang, N Yu, K Liu, K Sun
IEEE access 9, 25118-25130, 2021
117 2021 FBMSNet: A Filter-Bank Multi-Scale Convolutional Neural Network for EEG-Based Motor Imagery Decoding K Liu, M Yang, Z Yu, G Wang, W Wu
IEEE transactions on bio-medical engineering, 2022
60 2022 Classifying ASD based on time-series fMRI using spatial–temporal transformer X Deng, J Zhang, R Liu, K Liu
Computers in biology and medicine 151, 106320, 2022
47 2022 Bayesian electromagnetic spatio-temporal imaging of extended sources with Markov random field and temporal basis expansion K Liu, ZL Yu, W Wu, Z Gu, Y Li, S Nagarajan
NeuroImage 139, 385-404, 2016
41 2016 Bayesian electromagnetic spatio-temporal imaging of extended sources based on matrix factorization K Liu, ZL Yu, W Wu, Z Gu, J Zhang, L Cen, S Nagarajan, Y Li
IEEE Transactions on Biomedical Engineering 66 (9), 2457-2469, 2019
28 2019 STRAPS: A fully data-driven spatio-temporally regularized algorithm for M/EEG patch source imaging K Liu, ZL Yu, W Wu, Z Gu, Y Li
International journal of neural systems 25 (04), 1550016, 2015
27 2015 FB-EEGNet: A fusion neural network across multi-stimulus for SSVEP target detection H Yao, K Liu, X Deng, X Tang, H Yu
Journal of Neuroscience Methods 379, 109674, 2022
23 2022 Electromagnetic source imaging via a data-synthesis-based convolutional encoder–decoder network G Huang, K Liu, J Liang, C Cai, ZH Gu, F Qi, Y Li, ZL Yu, W Wu
IEEE Transactions on Neural Networks and Learning Systems, 2022
18 2022 Variation sparse source imaging based on conditional mean for electromagnetic extended sources K Liu, ZL Yu, W Wu, Z Gu, Y Li, S Nagarajan
Neurocomputing 313, 96-110, 2018
17 2018 A spatial filter temporal graph convolutional network for decoding motor imagery EEG signals X Tang, J Zhang, Y Qi, K Liu, R Li, H Wang
Expert Systems with Applications 238, 121915, 2024
16 2024 Spatial fusion of maximum signal fraction analysis for frequency recognition in SSVEP-based BCI Z Li, K Liu, X Deng, G Wang
Biomedical Signal Processing and Control 61, 102042, 2020
16 2020 Imaging brain extended sources from EEG/MEG based on variation sparsity using automatic relevance determination K Liu, ZL Yu, W Wu, Z Gu, Y Li
Neurocomputing 389, 132-145, 2020
11 2020 EEG extended source imaging with structured sparsity and -norm residual F Xu, K Liu, Z Yu, X Deng, G Wang
Neural Computing and Applications 33 (14), 8513-8524, 2021
10 2021 EEG-based person recognition analysis and criticism MR Boubakeur, G Wang, C Zhang, K Liu
2017 IEEE International Conference on Big Knowledge (ICBK), 155-160, 2017
10 2017 SincMSNet: a Sinc filter convolutional neural network for EEG motor imagery classification K Liu, M Yang, X Xing, Z Yu, W Wu
Journal of Neural Engineering 20 (5), 056024, 2023
8 2023 A GAN model encoded by CapsEEGNet for visual EEG encoding and image reproduction X Deng, Z Wang, K Liu, X Xiang
Journal of Neuroscience Methods 384, 109747, 2023
8 2023 Robust Bayesian estimation of EEG-based brain causality networks K Liu, Q Lai, P Li, Z Yu, B Xiao, C Guan, W Wu
IEEE transactions on biomedical engineering 70 (6), 1879-1890, 2022
8 2022 An adaptive joint CCA-ICA method for ocular artifact removal and its application to emotion classification X Gao, S Zhang, K Liu, Z Tan, G Zhao, Y Han, Y Cheng, C Li, P Li, Y Tian, ...
Journal of Neuroscience Methods 390, 109841, 2023
7 2023 The classification of motor imagery eeg signals based on the time-frequency-spatial feature X Deng, B Zhang, K Liu, J Wang, P Yang, C Hu
2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS), 6-11, 2021
7 2021 Electromagnetic source imaging via a data-synthesis-based denoising autoencoder G Huang, ZL Yu, W Wu, K Liu, ZH Gu, F Qi, J Liang
arXiv preprint arXiv:2010.12876, 2020
7 2020