| A channel-projection mixed-scale convolutional neural network for motor imagery EEG decoding Y Li, XR Zhang, B Zhang, MY Lei, WG Cui, YZ Guo IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 (6 …, 2019 | 196 | 2019 |
| Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation X Chen, M Lei, N Saunier, L Sun IEEE Transactions on Intelligent Transportation Systems 23 (8), 12301-12310, 2021 | 105 | 2021 |
| Bayesian kernelized matrix factorization for spatiotemporal traffic data imputation and kriging M Lei, A Labbe, Y Wu, L Sun IEEE Transactions on Intelligent Transportation Systems 23 (10), 18962-18974, 2022 | 32 | 2022 |
| A parametric time-frequency conditional Granger causality method using ultra-regularized orthogonal least squares and multiwavelets for dynamic connectivity analysis in EEGs Y Li, M Lei, W Cui, Y Guo, HL Wei IEEE Transactions on Biomedical Engineering 66 (12), 3509-3525, 2019 | 32 | 2019 |
| Time-varying nonlinear causality detection using regularized orthogonal least squares and multi-wavelets with applications to EEG Y Li, MY Lei, Y Guo, Z Hu, HL Wei IEEE Access 6, 17826-17840, 2018 | 29 | 2018 |
| Spatial aggregation and temporal convolution networks for real-time kriging Y Wu, D Zhuang, M Lei, A Labbe, L Sun arXiv preprint arXiv:2109.12144, 2021 | 22 | 2021 |
| An amplitudes-perturbation data augmentation method in convolutional neural networks for EEG decoding XR Zhang, MY Lei, Y Li 2018 5th International Conference on Information, Cybernetics, and …, 2018 | 17 | 2018 |
| Boosted convolutional neural networks for motor imagery eeg decoding with multiwavelet-based time-frequency conditional granger causality analysis Y Li, M Lei, X Zhang, W Cui, Y Guo, TW Huang, HL Wei arXiv preprint arXiv:1810.10353, 2018 | 6 | 2018 |
| Scalable Spatiotemporally Varying Coefficient Modelling with Bayesian Kernelized Tensor Regression M Lei, A Labbe, L Sun arXiv preprint arXiv:2109.00046, 2021 | 4 | 2021 |
| Bayesian complementary kernelized learning for multidimensional spatiotemporal data M Lei, A Labbe, L Sun arXiv preprint arXiv:2208.09978, 2022 | 2 | 2022 |
| Bayesian Kernelized Tensor Factorization as Surrogate for Bayesian Optimization M Lei, L Sun arXiv preprint arXiv:2302.14510, 2023 | 1 | 2023 |
| Sparse multi-wavelet-based identification of time-varying system with applications to EEG signal time-frequency analysis M LEI, Y WEI, Y LI, L WANG 北京航空航天大学学报 44 (6), 1312-1320, 2018 | 1 | 2018 |
| Scalable Spatiotemporally Varying Coefficient Modeling with Bayesian Kernelized Tensor Regression M Lei, A Labbe, L Sun Bayesian Analysis 1 (1), 1-29, 2024 | | 2024 |
| BKTR: An efficient spatiotemporally varying coefficient regression package in R and Python J Lanthier, M Lei, L Sun, A Labbe | | 2023 |
| 稀疏多小波时变系统辨识及脑电信号时频分析 雷梦颖， 魏彦兆， 李阳， 王丽娜 北京航空航天大学学报, 2018 | | 2018 |
Lijun Sun (孙立君)Associate Professor, William Dawson Scholar, Civil Engineering, McGill UniversityVerified email at mcgill.ca
