李洁
发布时间:2017-06-21        浏览次数:7212

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

  1. 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
  2. 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
  3. Hongfei Ji, Jie Li, Lei Cao, Daming Wang, EEG-based Brain Computer Interface system towards applicable Vigilance Monitoring, ISKE2011. (EI)
  4. Di Zang, Jie Li and Dongdong Zhang, Robust Visual Correspondence Computation Using Monogenic Curvature Phase Based Mutual Information, Opitcs letters , 2011. (SCI)
  5. 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) .
  6. Jie Li and Liqing Zhang, Regularized Tensor Discriminant Analysis for Single Trial EEG Classification in BCI, Pattern Recognition Letters, 2010 (SCI).
  7. 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.
  8. Kan Hong, Liqing Zhang, Jie Li, Junhua Li, Multi-modal EEG Online Visualization and Neuro-feedback, International Symposium on Neural Networks (ISNN), 2010.
  9. 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).
  10. Jie Li, Liqing Zhang, “Phase Interval Value Analysis for Motor Imagery Task in BCI”. Journal of Circuits, Systems, and Computers,2009(SCI).
  11. 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).
  12. 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) .
  13. 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).
  14. Qibin Zhao, Liqing Zhang, Andrzej Cichocki, Jie Li, “Incremental Common Spatial Pattern Algorithm for BCI”. International Joint Conference on Neural Networks (IJCNN 2008), (EI).
  15. Qibin Zhao, Liqing Zhang and Jie Li, Multi-task BCI for Online Game Control, Autonomous Systems - Self-Organization, Management, and Control, 29-37, 2008.
  16. 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).
  17. 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.
  18. 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).
  19. 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

  1. 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)
  2. 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)
  3. 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)
  4. 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)
  5. 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)
  6. 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)
  7. 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)

 

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