姓名: 李洁
职称: 讲师
联系方式:nijanice@163.com
固定电话:
简介:
1979年12月出生于安徽省泾县,2009年12月毕业于上海交通大学计算机系,获计算机软件与理论专业博士学位, 博士学位论文“多模态脑电信号分析及脑机接口应用” 获得2012年上海市计算机学会优秀博士学位论文。2010年1月进入同济大学计算机系任讲师,目前在同济大学 “嵌入式系统985二期平台” 下设脑认知与智能系统实验室从事脑机接口研究工作。
研究兴趣: 主要研究领域为脑信号处理、脑计算机接口、机器学习与认知计算理论。利用统计学习、信息几何理论与方法进行脑电信号分析,如张量分解、独立源分析方法来分析高导联、高噪声、高维度脑电数据,研究不同思维活动下的脑电的时、空、频特征,并用模式分类方法对诱发电位、想象运动电位等进行分类,设计基于脑电的脑机交互系统等。当前感兴趣的方向还包括基于磁共振的脑功能研究,及磁共振和脑电信号的同步采集分析技术。
已发表的论文
- Qibin Zhao, Jie Li, Hang Wang, Junhua Li and Liqing Zhang, EEG Tensor Representation and Spatial-Temporal Pattern Recognition in BCI Systems,Front. Electr. Electron. Eng.China,2012
- BinXia, Hong Yang, Qingmei Zhang, Hong Xie, Jie Li, Control 2-Dimensional Movement Using a Three-Class Motor Imagery based Brain-Computer Interface, 34th Annual International IEEE EMBS Conference, 2012
- Hongfei Ji, Jie Li, Lei Cao, Daming Wang, EEG-based Brain Computer Interface system towards applicable Vigilance Monitoring, ISKE2011. (EI)
- Di Zang, Jie Li and Dongdong Zhang, Robust Visual Correspondence Computation Using Monogenic Curvature Phase Based Mutual Information, Opitcs letters , 2011. (SCI)
- Jie Li, Chungang Yan, Bin Xia, Lei Cao, Daming Wang, and Yaoru Sun, EEG-based Brain Computer Interface for Vigilance Analysis and Estimate, Proceedings of the Second APSIPA Annual Summit and Conference, pages 189–192, Biopolis, Singapore, December 2010 (EI) .
- Jie Li and Liqing Zhang, Regularized Tensor Discriminant Analysis for Single Trial EEG Classification in BCI, Pattern Recognition Letters, 2010 (SCI).
- Bin xia, Dianyun Xiao, Jie Li, Hong Yang, Cong Wang,, A novel protocol for multi-commands system", Proceedings of the TOBI workshop II,46-47, 2010.
- Kan Hong, Liqing Zhang, Jie Li, Junhua Li, Multi-modal EEG Online Visualization and Neuro-feedback, International Symposium on Neural Networks (ISNN), 2010.
- Lei Cao, Jie Li, Yaoru Sun, Huaping Zhu, and Chungang Yan, EEG-based Vigilance Analysis by Using Fisher Score and PCA Algorithm,Proceedings of the 2010 IEEE International Conference on Progress in Informatics and Computing, pages 175–179, shanghai, December 2010 (EI).
- Jie Li, Liqing Zhang, “Phase Interval Value Analysis for Motor Imagery Task in BCI”. Journal of Circuits, Systems, and Computers,2009(SCI).
- Jie Li, Liqing Zhang, Dacheng Tao, Han Sun and Qibin Zhao, “A Prior Neurophysiologic Knowledge Free Tensor-based Scheme for Single Trial EEG Classification”. IEEE in Transactions on Neural Systems & Rehabilitation Engineering, 2009 (SCI).
- JunHua Li, LiQing Zhang, Kan Hong and Jie Li, Electric Wheelchair Control Basedon Brain Computer Interface,The 8th Biennial Conference of the Chinese Society forNeuroscience,2009 (EI) .
- Han Sun, Liqing Zhang, Jie Li, and Qibin Zhao, EEG Based Brain-computer Interface System for Remote Vehicle Controlling, International Conference on Neural Networks (ICNN), 2009(ISTP).
- Qibin Zhao, Liqing Zhang, Andrzej Cichocki, Jie Li, “Incremental Common Spatial Pattern Algorithm for BCI”. International Joint Conference on Neural Networks (IJCNN 2008), (EI).
- Qibin Zhao, Liqing Zhang and Jie Li, Multi-task BCI for Online Game Control, Autonomous Systems - Self-Organization, Management, and Control, 29-37, 2008.
- Jie Li, Liqing Zhang and Qibin Zhao, “Pattern Classification of Visual Evoked Potentials Based on Parallel Factor Analysis”. International Conference on Cognitive Neurodynamics (ICCN2007) (EI).
- ZhiLin Zhang, Liqing Zhang, Xiu-Ling Wu, Jie Li, Qibin Zhao, “Two-Stage Temporally Correlated Source Extraction Algorithm with Its Application in Extraction and Classification of Event-Related Potentials”. Proc. of the 13th International Conference on Neural Information Processing (ICONIP 2006), LNCS.
- Zhilin Zhang, Liqing Zhang, Xiuling Wu, Jie Li, Qibin Zhao, Two-Stage Temporally Correlated Source Extraction Algorithm with Its Application in Extraction of Event-Related Potentials, Lecture Notes in Computer Science, 4233:523-532, 2006 (SCI).
- 陆蓉蓉,吴毅,张丽清,李洁,脑机接口系统在康复中应用的初步研究,中华医学会第十一次全国物理医学与康复学学术会议,2009.
项目经历
- 多模式融合的脑机接口的机理与方法研究(国家自然科学基金青年科学基金,2012.01-2014.12,负责人)
- 视听觉协同感知的多粒度脑机接口关键技术研究(中央高校基本科研业务费专项资金,2012.01-2013.12,负责人)
- 基于动作链及镜像神经系统的人类动作行为理解的认知计算研究(国家自然科学基金面上项目,2012.01-201512,参与人)
- 基于嵌入式平台的典型警觉度模型研究(上海市科技攻关计划重点项目, 2009-2011,参与人)
- 基于脑-计算机接口的智能感知系统关键技术研究(上海市科技攻关计划重点项目,与复旦大学,上海大学合作,2008~2010,参与人)
- 非对称张量稀疏分解模型与算法研究 (国家自然科学基金,2008~2010,参与人)
- 未来服务系统的基于大脑多模态用户交互—智能服(国际合作项目,合作单位:柏林工业大学, 2005~2006,参与人)