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Ke Liu 0008
Person information
- affiliation: Chongqing University of Posts and Telecommunications, Chongqing Key Laboratory of Computational Intelligence, China
- affiliation (PhD 2016): South China University of Technology, College of Automation Science and Engineering, Guangzhou, China
Other persons with the same name
- Ke Liu — disambiguation page
- Ke Liu 0001
— State University of New York at Binghamton, NY, USA
- Ke Liu 0002 — Fudan University, China
- Ke Liu 0003
- Ke Liu 0004
- Ke Liu 0005
- Ke Liu 0006
- Ke Liu 0007
- Ke Liu 0009 — Concordia University, Centre for Pattern Recognition and Machine Intelligence, Montreal, Canada
- Ke Liu 0010 — Qualcomm Inc., San Diego, CA, USA (and 2 more)
- Ke Liu 0011
- Ke Liu 0012
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2020 – today
- 2024
- [j19]Xingchen Li, Xianlun Tang, Jieyu Liu, Qing Liu, Huiming Wang, Ke Liu:
Parameter transfer and Riemannian space coordinate alignment for EEG intention recognition. Biomed. Signal Process. Control. 92: 106044 (2024) - [j18]Xianlun Tang
A Spatial Filter Temporal Graph Convolutional Network for decoding motor imagery EEG signals. Expert Syst. Appl. 238(Part C): 121915 (2024) - [j17]Xianlun Tang
Graph-Based Information Separator and Area Convolutional Network for EEG-Based Intention Decoding. IEEE Trans. Cogn. Dev. Syst. 16(1): 212-222 (2024) - [j16]Gexin Huang
Electromagnetic Source Imaging via a Data-Synthesis-Based Convolutional Encoder-Decoder Network. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6423-6437 (2024) - 2023
- [j15]Duo Chen, Ke Liu
Editorial: Brain-computer interface and its applications. Frontiers Neurorobotics 17 (2023) - [j14]Ke Liu
FBMSNet: A Filter-Bank Multi-Scale Convolutional Neural Network for EEG-Based Motor Imagery Decoding. IEEE Trans. Biomed. Eng. 70(2): 436-445 (2023) - [j13]Ke Liu
Robust Bayesian Estimation of EEG-Based Brain Causality Networks. IEEE Trans. Biomed. Eng. 70(6): 1879-1890 (2023) - [j12]Ke Liu
WRA-MTSI: A Robust Extended Source Imaging Algorithm Based on Multi-Trial EEG. IEEE Trans. Biomed. Eng. 70(10): 2809-2821 (2023) - [c8]Shu Peng, Feifei Qi, Hong Yu, Ke Liu
EEG Extended Source Imaging with Variation Sparsity and Lp-Norm Constraint. CICAI (2) 2023: 500-511 - 2022
- [j11]Xin Deng, Jiahao Zhang, Rui Liu
Classifying ASD based on time-series fMRI using spatial-temporal transformer. Comput. Biol. Medicine 151(Part): 106320 (2022) - 2021
- [j10]Xin Deng
Advanced TSGL-EEGNet for Motor Imagery EEG-Based Brain-Computer Interfaces. IEEE Access 9: 25118-25130 (2021) - [j9]Xin Deng
EEG Analysis of Working Memory Between Sober State and Intoxicated State. IEEE Access 9: 145900-145911 (2021) - [j8]Ke Liu, Zhu Liang Yu, Wei Wu, Xun Chen, Zhenghui Gu, Cuntai Guan
fMRI-SI-STBF: An fMRI-informed Bayesian electromagnetic spatio-temporal extended source imaging. Neurocomputing 462: 14-30 (2021) - [j7]Furong Xu, Ke Liu
EEG extended source imaging with structured sparsity and L1-norm residual. Neural Comput. Appl. 33(14): 8513-8524 (2021) - 2020
- [j6]Zhenhua Li, Ke Liu, Xin Deng, Guoyin Wang:
Spatial fusion of maximum signal fraction analysis for frequency recognition in SSVEP-based BCI. Biomed. Signal Process. Control. 61: 102042 (2020) - [j5]Ke Liu
Imaging brain extended sources from EEG/MEG based on variation sparsity using automatic relevance determination. Neurocomputing 389: 132-145 (2020) - [c7]Hongbo Wang, Ke Liu
EEG-Based Emotion Recognition Using Convolutional Neural Network with Functional Connections. ICCSIP 2020: 33-40 - [c6]Feifei Qi, Wei Wu, Ke Liu, Tianyou Yu, Yang Cao:
A Logistic Regression Based Framework for Spatio-Temporal Feature Representation and Classification of Single-Trial EEG. ICCSIP 2020: 387-394 - [i1]Gexin Huang, Zhu Liang Yu, Wei Wu, Ke Liu, Zhenghui Gu, Feifei Qi, Yuanqing Li, Jiawen Liang:
Electromagnetic Source Imaging via a Data-Synthesis-Based Denoising Autoencoder. CoRR abs/2010.12876 (2020)
2010 – 2019
- 2019
- [j4]Ke Liu
Bayesian Electromagnetic Spatio-Temporal Imaging of Extended Sources Based on Matrix Factorization. IEEE Trans. Biomed. Eng. 66(9): 2457-2469 (2019) - [c5]Furong Xu, Ke Liu
Imaging EEG Extended Sources Based on Variation Sparsity with L1-norm Residual. BI 2019: 95-104 - [c4]Meriem Romaissa Boubakeur, Guoyin Wang, Ke Liu, Karima Benatchba:
Evaluation of Identity Information Loss in EEG-Based Biometric Systems. BI 2019: 201-211 - [c3]Fujin Zhong, Ruili Zhou, Li Liu, Ke Liu, Youmin Zhang:
An Efficient Three-Factor Remote User Authentication Scheme Based on Random Projected Biometrics. ICNC-FSKD 2019: 843-850 - 2018
- [j3]Ke Liu, Zhu Liang Yu
Variation sparse source imaging based on conditional mean for electromagnetic extended sources. Neurocomputing 313: 96-110 (2018) - [c2]Fujin Zhong, Shuo Yan, Li Liu, Ke Liu
An Effective Face Recognition Framework With Subspace Learning Based on Local Texture Patterns. ICSAI 2018: 266-271 - 2017
- [c1]Meriem Romaissa Boubakeur, Guoyin Wang
EEG-Based Person Recognition Analysis and Criticism. ICBK 2017: 155-160 - 2016
- [j2]Ke Liu
Bayesian electromagnetic spatio-temporal imaging of extended sources with Markov Random Field and temporal basis expansion. NeuroImage 139: 385-404 (2016) - 2015
- [j1]Ke Liu
STRAPS: A Fully Data-Driven Spatio-Temporally Regularized Algorithm for M/EEG Patch Source Imaging. Int. J. Neural Syst. 25(4): 1550016:1-1550016:21 (2015)
Coauthor Index
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last updated on 2024-11-11 21:30 CET by the dblp team
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