| 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 | 118 | 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 | 54 | 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 | 48 | 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 | 17 | 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 |
| 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 | 15 | 2020 |
| 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 | 14 | 2024 |
| 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 |
Wei WuShanghai Jiao Tong UniversityVerified email at sjtu.edu.cn