Ke Liu

36 papers Journal 27Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
VSSI 2 p -Net: Physics-guided deep unfolding with L 2 p -norm and variation sparsity for EEG source imaging.
NeuroImage
Luhua Wang, Jun Zhang, Zhenghui Gu, Ke Liu, Wei Wu, Tianyou Yu, Zhuliang Yu, Yuanqing Li
2025 J jnl
ADMM-ESINet: A Deep Unrolling Network for EEG Extended Source Imaging.
IEEE J. Biomed. Health Informatics
Ke Liu, Hang Jiang, Hu Yang, Jun Zhang, Zhenghui Gu, Zhuliang Yu, Yu Zhang, Bin Xiao, Wei Wu
2025 J jnl
DMSACNN: Deep Multiscale Attentional Convolutional Neural Network for EEG-Based Motor Decoding.
IEEE J. Biomed. Health Informatics
Ke Liu, Xin Xing, Tao Yang, Zhuliang Yu, Bin Xiao, Guoyin Wang, Wei Wu
2025 J jnl
Dynamic Emotion-Dependent Network With Relational Subgraph Interaction for Multimodal Emotion Recognition.
IEEE Trans. Affect. Comput.
Ye Wang, Wei Zhang, Ke Liu, Wei Wu, Feng Hu, Hong Yu, Guoyin Wang
2025 J jnl
Enhancing EEG-Based Cross-Subject Emotion Recognition via Adaptive Source Joint Domain Adaptation.
IEEE Trans. Affect. Comput.
Ke Liu, Xin Luo, Wenrui Zhu, Zhu Liang Yu, Hong Yu, Bin Xiao, Wei Wu
2025 J jnl
SSSI-L2p: An EEG extended source imaging algorithm based on the structured sparse regularization with L2p-Norm.
Neurocomputing
Shu Peng, Hongyu Li, Yujie Deng, Hong Yu, Weibo Yi, Ke Liu
2024 J jnl
A Spatial Filter Temporal Graph Convolutional Network for decoding motor imagery EEG signals.
Expert Syst. Appl.
Xianlun Tang, Jing Zhang, Yidan Qi, Ke Liu, Rui Li, Huiming Wang
2024 J jnl
Electromagnetic Source Imaging via a Data-Synthesis-Based Convolutional Encoder-Decoder Network.
IEEE Trans. Neural Networks Learn. Syst.
Gexin Huang, Ke Liu, Jiawen Liang, Chang Cai, Zhenghui Gu, Feifei Qi, Yuanqing Li, Zhu Liang Yu, Wei Wu
2024 J jnl
Graph-Based Information Separator and Area Convolutional Network for EEG-Based Intention Decoding.
IEEE Trans. Cogn. Dev. Syst.
Xianlun Tang, Shifei Wang, Xin Deng, Ke Liu, Yin Tian, Huiming Wang, Xinbo Gao
2024 J jnl
MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding.
IEEE J. Biomed. Health Informatics
Ke Liu, Tao Yang, Zhuliang Yu, Weibo Yi, Hong Yu, Guoyin Wang, Wei Wu
2024 J jnl
Parameter transfer and Riemannian space coordinate alignment for EEG intention recognition.
Biomed. Signal Process. Control.
Xingchen Li, Xianlun Tang, Jieyu Liu, Qing Liu, Huiming Wang, Ke Liu
2024 — conf
Steering Angle Prediction Based on Travelable Regions and Bio-Inspired Neural Circuit Policy.
IJCRS (3)
Yali Wang, Ye Wang, Hong Yu, Ke Liu
2023 — conf
EEG Extended Source Imaging with Variation Sparsity and L
CICAI (2)
Shu Peng, Feifei Qi, Hong Yu, Ke Liu
2023 J jnl
Editorial: Brain-computer interface and its applications.
Frontiers Neurorobotics
Duo Chen, Ke Liu, Jiayang Guo, Luzheng Bi, Jing Xiang
2023 J jnl
FBMSNet: A Filter-Bank Multi-Scale Convolutional Neural Network for EEG-Based Motor Imagery Decoding.
IEEE Trans. Biomed. Eng.
Ke Liu, Mingzhao Yang, Zhuliang Yu, Guoyin Wang, Wei Wu
2023 J jnl
Robust Bayesian Estimation of EEG-Based Brain Causality Networks.
IEEE Trans. Biomed. Eng.
Ke Liu, Qin Lai, Peiyang Li, Zhuliang Yu, Bin Xiao, Cuntai Guan, Wei Wu
2023 J jnl
WRA-MTSI: A Robust Extended Source Imaging Algorithm Based on Multi-Trial EEG.
IEEE Trans. Biomed. Eng.
Ke Liu, Zhen Wang, Zhuliang Yu, Bin Xiao, Hong Yu, Wei Wu
2022 J jnl
Classifying ASD based on time-series fMRI using spatial-temporal transformer.
Comput. Biol. Medicine
Xin Deng, Jiahao Zhang, Rui Liu, Ke Liu
2021 J jnl
Advanced TSGL-EEGNet for Motor Imagery EEG-Based Brain-Computer Interfaces.
IEEE Access
Xin Deng, Boxian Zhang, Nian Yu, Ke Liu, Kaiwei Sun
2021 J jnl
EEG Analysis of Working Memory Between Sober State and Intoxicated State.
IEEE Access
Xin Deng, Pengfei Yang, Xiangwei Lv, Ke Liu, Kaiwei Sun
2021 J jnl
EEG extended source imaging with structured sparsity and L
Neural Comput. Appl.
Furong Xu, Ke Liu, Zhuliang Yu, Xin Deng, Guoyin Wang
2021 J jnl
fMRI-SI-STBF: An fMRI-informed Bayesian electromagnetic spatio-temporal extended source imaging.
Neurocomputing
Ke Liu, Zhu Liang Yu, Wei Wu, Xun Chen, Zhenghui Gu, Cuntai Guan
2020 — conf
A Logistic Regression Based Framework for Spatio-Temporal Feature Representation and Classification of Single-Trial EEG.
ICCSIP
Feifei Qi, Wei Wu, Ke Liu, Tianyou Yu, Yang Cao
2020 — conf
EEG-Based Emotion Recognition Using Convolutional Neural Network with Functional Connections.
ICCSIP
Hongbo Wang, Ke Liu, Feifei Qi, Xin Deng, Peiyang Li
2020 J jnl
Electromagnetic Source Imaging via a Data-Synthesis-Based Denoising Autoencoder.
CoRR
Gexin Huang, Zhu Liang Yu, Wei Wu, Ke Liu, Zhenghui Gu, Feifei Qi, Yuanqing Li, Jiawen Liang
2020 J jnl
Imaging brain extended sources from EEG/MEG based on variation sparsity using automatic relevance determination.
Neurocomputing
Ke Liu, Zhu Liang Yu, Wei Wu, Zhenghui Gu, Yuanqing Li
2020 J jnl
Spatial fusion of maximum signal fraction analysis for frequency recognition in SSVEP-based BCI.
Biomed. Signal Process. Control.
Zhenhua Li, Ke Liu, Xin Deng, Guoyin Wang
2019 — conf
An Efficient Three-Factor Remote User Authentication Scheme Based on Random Projected Biometrics.
ICNC-FSKD
Fujin Zhong, Ruili Zhou, Li Liu, Ke Liu, Youmin Zhang
2019 J jnl
Bayesian Electromagnetic Spatio-Temporal Imaging of Extended Sources Based on Matrix Factorization.
IEEE Trans. Biomed. Eng.
Ke Liu, Zhu Liang Yu, Wei Wu, Zhenghui Gu, Jun Zhang, Ling Cen, Srikantan S. Nagarajan, Yuanqing Li
2019 — conf
Evaluation of Identity Information Loss in EEG-Based Biometric Systems.
BI
Meriem Romaissa Boubakeur, Guoyin Wang, Ke Liu, Karima Benatchba
2019 — conf
Imaging EEG Extended Sources Based on Variation Sparsity with L
BI
Furong Xu, Ke Liu, Xin Deng, Guoyin Wang
2018 — conf
An Effective Face Recognition Framework With Subspace Learning Based on Local Texture Patterns.
ICSAI
Fujin Zhong, Shuo Yan, Li Liu, Ke Liu
2018 J jnl
Variation sparse source imaging based on conditional mean for electromagnetic extended sources.
Neurocomputing
Ke Liu, Zhu Liang Yu, Wei Wu, Zhenghui Gu, Yuanqing Li, Srikantan S. Nagarajan
2017 — conf
EEG-Based Person Recognition Analysis and Criticism.
ICBK
Meriem Romaissa Boubakeur, Guoyin Wang, Chenglin Zhang, Ke Liu
2016 J jnl
Bayesian electromagnetic spatio-temporal imaging of extended sources with Markov Random Field and temporal basis expansion.
NeuroImage
Ke Liu, Zhu Liang Yu, Wei Wu, Zhenghui Gu, Yuanqing Li, Srikantan S. Nagarajan
2015 J jnl
STRAPS: A Fully Data-Driven Spatio-Temporally Regularized Algorithm for M/EEG Patch Source Imaging.
Int. J. Neural Syst.
Ke Liu, Zhu Liang Yu, Wei Wu, Zhenghui Gu, Yuanqing Li