Ke Liu
Orcid: 0000-0001-8151-4326Affiliations:
- Chongqing University of Posts and Telecommunications, Chongqing Key Laboratory of Computational Intelligence, China
- South China University of Technology, College of Automation Science and Engineering, Guangzhou, China (PhD 2016)
According to our database1,
Ke Liu
authored at least 26 papers
between 2015 and 2024.
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Bibliography
2024
A Spatial Filter Temporal Graph Convolutional Network for decoding motor imagery EEG signals.
Expert Syst. Appl., March, 2024
Graph-Based Information Separator and Area Convolutional Network for EEG-Based Intention Decoding.
IEEE Trans. Cogn. Dev. Syst., February, 2024
2023
IEEE Trans. Biomed. Eng., October, 2023
IEEE Trans. Biomed. Eng., June, 2023
Frontiers Neurorobotics, June, 2023
FBMSNet: A Filter-Bank Multi-Scale Convolutional Neural Network for EEG-Based Motor Imagery Decoding.
IEEE Trans. Biomed. Eng., February, 2023
EEG Extended Source Imaging with Variation Sparsity and L<sub>p</sub>-Norm Constraint.
Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023
2022
Comput. Biol. Medicine, 2022
2021
EEG extended source imaging with structured sparsity and L<sub>1</sub>-norm residual.
Neural Comput. Appl., 2021
fMRI-SI-STBF: An fMRI-informed Bayesian electromagnetic spatio-temporal extended source imaging.
Neurocomputing, 2021
IEEE Access, 2021
IEEE Access, 2021
2020
Imaging brain extended sources from EEG/MEG based on variation sparsity using automatic relevance determination.
Neurocomputing, 2020
CoRR, 2020
Spatial fusion of maximum signal fraction analysis for frequency recognition in SSVEP-based BCI.
Biomed. Signal Process. Control., 2020
EEG-Based Emotion Recognition Using Convolutional Neural Network with Functional Connections.
Proceedings of the Cognitive Systems and Signal Processing - 5th International Conference, 2020
A Logistic Regression Based Framework for Spatio-Temporal Feature Representation and Classification of Single-Trial EEG.
Proceedings of the Cognitive Systems and Signal Processing - 5th International Conference, 2020
2019
Bayesian Electromagnetic Spatio-Temporal Imaging of Extended Sources Based on Matrix Factorization.
IEEE Trans. Biomed. Eng., 2019
An Efficient Three-Factor Remote User Authentication Scheme Based on Random Projected Biometrics.
Proceedings of the Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019, 2019
Imaging EEG Extended Sources Based on Variation Sparsity with L<sub>1</sub>-norm Residual.
Proceedings of the Brain Informatics - 12th International Conference, 2019
Proceedings of the Brain Informatics - 12th International Conference, 2019
2018
Variation sparse source imaging based on conditional mean for electromagnetic extended sources.
Neurocomputing, 2018
An Effective Face Recognition Framework With Subspace Learning Based on Local Texture Patterns.
Proceedings of the 5th International Conference on Systems and Informatics, 2018
2017
Proceedings of the IEEE International Conference on Big Knowledge, 2017
2016
Bayesian electromagnetic spatio-temporal imaging of extended sources with Markov Random Field and temporal basis expansion.
NeuroImage, 2016
2015
STRAPS: A Fully Data-Driven Spatio-Temporally Regularized Algorithm for M/EEG Patch Source Imaging.
Int. J. Neural Syst., 2015