个人信息：Personal Information 副教授 硕士生导师
性别：男
毕业院校：华南理工大学
学历：博士研究生毕业
学位：工学博士
在职信息：在职
所在单位：计算机学院、人工智能学院
办公地点：信科大厦1806
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个人简介：Personal Profile

刘柯，博士，副教授，硕士生导师。2011年7月毕业于西南大学计算机与信息科学学院，获工学学士学位。2016年12月毕业于华南理工大学自动化科学与工程学院，获模式识别与智能系统专业博士学位。主要从事贝叶斯概率推断与凸优化理论研究，及其在脑信号分析、脑电源成像和脑机接口上的应用研究工作。主持国家级项目1项；主持省部级项目2项。担任SCI期刊Frontiers in Neurorobotics的Review Editor, 以及The 8th International Conference on Information Science and Technology (ICIST 2018), Brain Informatics 2019 (BI 2019)的PC member,同时担任NeuroImage、IEEE TNSRE、Neurocomputing等权威期刊审稿人。

【招生要求】：勤奋刻苦，有较强的学习主动性和团队意识，具备较强的数学基础和英语读写能力。

主持项目：
[1] 国家自然科学基金青年科学基金项目，**，基于EEG-fMRI的脑功能成像方法及其应用研究，2018.01-2020.12，在研，已结题；
[2] 重庆市基础与前沿研究类项目，cstc2018jcyjAX0151，基于EEG-fMRI 脑功能成像的脑网络分析方法研究，2018.07-2021.06，在研，主持；
[3] 重庆市教委科技项目青年项目，KJQN，基于时空约束的EEG弥散源成像及脑功能网络方法研究，2018.07-2021.06，在研，主持；

发表论文：
1.期刊论文

[1] K. Liu, Z. L. Yu, W. Wu, Z. Gu, and Y. Li, "STRAPS: A Fully Data-Driven Spatio-Temporally Regularized Algorithm for M/EEG Patch Source Imaging," International Journal of Neural Systems, vol. 25, p. **, Jun 2015. DOI: 10.1142/S0161. (SCI, 中科院JCR一区TOP，影响因子：4.580)
[2] K. Liu, Z. L. Yu, W. Wu, Z. Gu, Y. Li, and S. Nagarajan, "Bayesian electromagnetic spatio-temporal imaging of extended sources with Markov Random Field and temporal basis expansion,”NeuroImage, vol. 139, pp. 385-404, Oct 2016.DOI: 10.1016/j.neuroimage.2016.06.027. (SCI, 中科院JCR二区TOP，影响因子：5.421)
[3] K. Liu, Z. L. Yu, W. Wu, Z. Gu, Y. Li, and S. Nagarajan, “Variation Sparse Source Imaging based on Conditional Mean for Electromagnetic Extended Sources, " Neurocomputing, vol. 313, pp. 96-110, 2018. DOI: 10.1016/j.neucom.2018.06.004. (SCI, 中科院JCR 二区，影响因子： 3.241)
[4] K. Liu, Z. L. Yu, W. Wu, Z. Gu, J. Zhang, L. Cen, S. Nagarajan and Y. Li, "Bayesian Electromagnetic Spatio-Temporal Imaging of Extended Sources based on Matrix Factorization," IEEE Transactions on Biomedical Engineering, 2019. DOI: 10.1109/TBME.2018.**. (SCI, 中科院JCR二区，影响因子：4.288）
[5]Ke Liu, Zhu Liang Yu, Wei Wu, Zhenghui Gu, Yuanqing Li, "Imaging Brain Extended Sources from EEG/MEG based on Variation Sparsity using Automatic Relevance Determination," Neurocomputing, 2020. DOI: 10.1016/j.neucom.2020.01.038.(SCI, 中科院JCR 二区，影响因子： 4.072)
[6] Zhenhua Li (学生), Ke Liu (通讯作者)， Xin Deng, Guoyin Wang, "Spatial fusion of maximum signal fraction analysis for frequency recognition in SSVEP-based BCI," Biomedical Signal Processing and Control, vol. 61, 2020. DOI: 10.1016/j.bspc.2020.102042. (SCI, 中科院JCR三区，影响因子：2.943)
[7] Furong Xu (学生), Ke Liu (通讯作者)，Zhuliang Yu, Xin Deng, Guoyin Wang (通讯作者), "EEG Extended Source Imaging with Structured Sparsity andL1-norm Residual," Neural Computing & Applications, 2021. DOI:10.1007/s00521-020-05603-1(SCI, 中科院JCR二区，影响因子：4.774)
[8] 刘柯（第一作者，通讯作者），张孝（学生），李沛洋，陈多，王国胤, 基于脑功能网络和共空间模式分析的脑电情绪识别[J/OL].计算机应用研究:1-7[2020-12-24].https://doi.org/10.19734/j.issn.1001-3695.2020.07.0181.
[9] K. Liu, Z.L. Yu, W. Wu, X. Chen, Z. Gu, C. Guan, fMRI-SI-STBF: An fMRI-InformedBayesian Electromagnetic Spatio-Temporal Extended Source Imaging, Neurocomputing (2021), doi: https://doi.org/10.1016/j.neucom.2021.06.066.(SCI, 中科院JCR二区)

2.会议论文
[1] K. Liu, Z. L. Yu, W. Wu, Z. Gu, J. Zhang, L. Cen, and Y. Li, "Bayesian spatio-temporal decomposition for electromagnetic imaging of extended sources based on Destrieux atlas," 2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA). IEEE, 2018, pp. 639–643. DOI: 10.1109/ICIEA.2018.**.
[2] Fujin Zhong, Shuo Yan, Li Liu and Ke Liu, "An Effective Face Recognition Framework with Subspace Learning Based on Local Texture Patterns," 2018 5th International Conference on Systems and Informatics (ICSAI). IEEE, 2018: 266-271.
[3] Xu F (学生), Liu K (通讯作者), Deng X, et al."Imaging EEG Extended Sources Based on Variation Sparsity with L1-norm Residual."International Conference on Brain Informatics. Springer, Cham, 2019. DOI: 10.1007/978-3-030-37078-7_10. (Best Student Paper)
[4]Zhao S (学生), Liu K (通讯作者), Deng X. EEG Identification Based on Brain Functional Network and Autoregressive Model[C]//2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS). IEEE, 2020: 474-479, DOI:10.1109/DDCLS49620.2020.**.
[5]Wang H.(学生),Liu K.(通讯作者), Qi F.(通讯作者), Deng X., Li P. (2021) EEG-Based Emotion Recognition Using Convolutional Neural Network with Functional Connections. In: Sun F., Liu H., Fang B. (eds) Cognitive Systems and Signal Processing. ICCSIP 2020. Communications in Computer and Information Science, vol 1397. Springer, Singapore.https://doi.org/10.1007/978-981-16-2336-3_3.(最佳会议论文提名)
[6]Qi F., Wu W.(通讯作者),Liu K.(通讯作者), Yu T., Cao Y. (2021) A Logistic Regression Based Framework for Spatio-Temporal Feature Representation and Classification of Single-Trial EEG. In: Sun F., Liu H., Fang B. (eds) Cognitive Systems and Signal Processing. ICCSIP 2020. Communications in Computer and Information Science, vol 1397. Springer, Singapore. https://doi.org/10.1007/978-981-16-2336-3_36.


教育经历Education Background
工作经历Work Experience
2012.92016.12
华南理工大学
工学博士
2011.92012.8
华南理工大学
2007.92011.7
西南大学
工学学士
2019.102020.10
南洋理工大学
访问****
2017.1至今
重庆邮电大学
计算机科学与技术学院

研究方向Research Focus
社会兼职Social Affiliations
脑信号分析，脑机接口，脑电源成像，贝叶斯概率推断，凸优化
PC Member:
——The 8th International Conference on Information Science and Technology (ICIST 2018) ；
——International Conference on Brain Informatics (BI 2019)
中国人工智能学会-脑科学与人工智能专业委员会委员

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个人信息：Personal Information 副教授 硕士生导师
性别：男
毕业院校：华南理工大学
学历：博士研究生毕业
学位：工学博士
在职信息：在职
所在单位：计算机学院、人工智能学院
办公地点：信科大厦1806
电子邮箱：


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脑信号分析，脑电源成像，脑机接口，贝叶斯推断


论文成果 More>>
Imaging Brain Extended Sources from EEG/MEG based on Variation Sparsity using Automatic Relevance Determination.Neurocomputing.2020
Bayesian Electromagnetic Spatio-Temporal Imaging of Extended Sources based on Matrix Factorization.IEEE Transactions on Biomedical Engineering.2019
Variation Sparse Source Imaging based on Conditional Mean for Electromagnetic Extended Sources.Neurocomputing.2018,313(2018):96-110
Bayesian electromagnetic spatio-temporal imaging of extended sources with Markov Random Field and temporal basis expansion.NeuroImage.2016,138(2016):385-404
STRAPS: A Fully Data-Driven Spatio-Temporally Regularized Algorithm for M/EEG Patch Source Imaging.International Journal of Neural Systems.2015,25(4)
Imaging EEG Extended Sources Based on Variation Sparsity with L1-norm Residual.International Conference on Brain Informatics.2019:95-104

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科研项目
石墨烯柔性干电极脑电数据采集分析仪在脑控机器人的应用示范
基于时空约束的EEG弥散源成像及脑功能网络方法研究，重庆市教委
基于EEG-fMRI 脑功能成像的脑网络分析方法研究，重庆市科委
基于EEG-fMRI的脑功能成像方法及其应用研究

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