北京航空航天大学
基于深度学习的脑信号分析及脑疾病诊断
演讲题目:基于深度学习的脑信号分析及脑疾病诊断
北京航空航天大学
李阳,北京航空航天大学自动化学院副教授、博士生导师,副院长。2003 年和 2006 年分别毕业于重庆大学应用数学系与计算机科学系,获理学学士和工学硕士学位。2011 年毕业于英国谢菲尔德大学自动控制与系统工程系,获哲学博士学位。2012 年至 2013 年在美国北卡罗来纳大学教堂山分校放射系医学成像中心从事博士后研究。2012 年 12 月入选北京航空航天大学“卓越百人”海外人才计划。2013 年 2 月起在北京航空航天大学模式识别与智能系统实验室工作。
李阳博士主要从事生物医学信号处理与机器学习、医学影像数据分析与处理等方面的相关研究工作。主要研究手段包括脑电图(EEG),结构及功能性磁共振成像(DTI/fMRI),以及机器学习等计算分析方法。李阳博士以第一/通讯作者在国际学术刊物上发表SCI论文30多篇,包括 IEEE Transactions on Neural Networks and Learning Systems及医学影像领域重要国际会议MICCAI(2017)等。
教学及科研成果
主要代表性论文:
国际期刊论文
Yang Li, Hua-Liang Wei, Stephen. A. Billings and P. G. Sarrigiannis, "Identification of nonlinear time-varying systems using an online sliding-window and common model structure selection (CMSS) approach with applications to EEG," Internaltional Journal of Systems Science, 2015, DOI: 10.1080/00207721.2015.1014448. (SCI/EI收录)
Qing Liu, Yang Li*, "Identification of time-varying systems using Multi-scale Radial Basis Function," Journal of Beijing University of Aeronautics and Astronautics, 2015, DOI: 10.13700/j.bh.1001-5965.2014.0693. (学生第一作者,通讯作者)
Yang Li, Chong-Yaw Wee, Biao Jie, Ziwen Peng, Dinggang Shen: Sparse multivariate autoregressive modeling for Mild Cognitive Impairment Classification, Neuroinformatics 12(3), pp.455 – 469, 2014 (SCI检索)
Yang Li, Paolo Avesani and Emanuele Olivetti: Modeling and Analysis of Time-varying Mechanism With Applications to Neuroimaging Data, Advances in Automobile Engineering, Editorial, 2012, 1:3.
Yang Li, Hua-Liang Wei, Stephen A. Billings and Xiao-Feng Liao: Time-Varying Linear and Non-linear Parametric Model for Granger Causality Analysis, Physical Review E 001900,2012 (SCI检索、EI检索)
Yang Li, Hua-Liang Wei, Stephen A. Billings and Sarrigiannis, P.: Time-varying model identification for time-frequency feature extraction from EEG data. Journal of Neuroscience Methods 196, 151-158, 2011.(SCI检索)
Yang Li, Hua-Liang Wei and Stephen A. Billings: Identification of time-varying systems using multi- wavelet basis functions. IEEE Transactions on Control Systems Technology 19, 656-663,2011.(SCI检索、EI检索)
Yang Li: Some less conservative criteria for impulsive synchronization of a hyper -chaotic Lorenz system based on small impulsive signals. Nonlinear Analysis: Real World Applications 11, 713-719, 2011. (SCI检索、EI检索)
Yang Li, Kwok-Wo Wong, Xiao-Feng Liao and Chuan-Dong Li : On impulsive control for synchronization and its application to the nuclear spin generator system. Nonlinear Analysis: Real World Applications 10, 1712-1716, 2009.(SCI检索、EI检索)
Yang Li, Kwok-Wo Wong and Zhong Zhang: Less Conservative Conditions for Asymptotic Stability of the nuclear spin generator via Impulsive Control. Dynamics of Continuous, Discrete and Impulsive Systems Series A: Mathematical Analysis 16, 183-191, 2009.
Zhi-Jun Peng, Yang Li, Xiao-Feng Liao and Chuan-Dong Li : Impulsive synchronization of Lu chaotic system based on small impulsive signal. International Journal of Theoretical Physics 47, 797-804, 2008. (Corresponding author) (SCI检索)
Yang Li, Xiao-Feng Liao, Chuan-Dong Li and Yong Wang: On impulsive control for synchronization and its application to Massumoto-Chua-Kobayashi (MCK) circuit. Communications in Theoretical Physics 48, 275-278, 2007.(SCI检索)
Yang Li, Xiao-Feng Liao, Chuan-Dong Li, Ting-Wen Huang and De-Gang Yang: Impulsive synchronization and parameter mismatch of the three-variable auto-catalator model. Physics Letters A 366, 52-60, 2007.(SCI检索)
Yang Li, Xiao-Feng Liao, Chuan-Dong Li and Guo Chen: Impulsive synchronization of laser plasma system. Communications in Theoretical Physics 47, 1067-1072, 2007. (SCI检索)
Yang Li, Xiao-Feng Liao, Chuan-Dong Li and Guo Chen : Impulsive control for synchronization of nonlinear Rosser chaotic systems. Chinese Physics 15, 2890-2893, 2006. (SCI检索、EI检索)
Fei Chen, Xiao-Feng Liao, Kwok-Wo Wong, Qi Han, and Yang Li: Period distribution analysis of some linear maps, Communications in nonlinear science and numerical simulation, 17, 3848-3856, 2012. (SCI检索、EI检索)
Yong Wang, Kwok-Wo Wong, Chang-bing Li, and Yang Li: A novel method to design S-box based on chaotic map and genetic algorithm. Physics Letters A,376, 827-833, 2012. (SCI检索)
国际会议论文:
Si-Rui Tan, Yang Li* and Ke Li, "A novel time-frequency analysis approach for nonstationary time series using multiresolution wavelet", 2014 IEEE International Conference on Data Mining Workshop, Dec. 14-17, Shenzhen, China. (学生第一作者,通讯作者)
Chong-Yaw Wee, Yang Li, Biao Jie, Zi-wen Peng, and Dinggang Shen, Identification of MCI Using Optimal Sparse MAR Modeled Effective Connectivity Networks", MICCAI 2013, Nagoya, Japan, Sep. 22-26, 2013 (EI检索、ISTP检索) (共同第一作者,医学图像处理和辅助诊断领域顶级会议).
Yang Li, Hua-Liang Wei and Stephen A. Billings: A time-varying model for EEG Granger Causality analysis. The 4th Biennial Neuroscience Conference, Göttingen, Germany, 25th – 28th May, 2011.
Yang Li, Hua-Liang Wei, Stephen A. Billings, Balikhin, M. A. and Walker, S. A. (2009): A Time-Varying Model for Disturbance Storm-Time (Dst) Index Analysis. 9th UK CARE Annual General Meeting, Proceeding, Manchester, United Kingdom, September 2009.
特邀国际学术报告:
1. 2011.12.19, Title: Oscillations Characterisation and Causality Analysis: A parametric Modelling Approach,
Hosted by Professor Paoloa Avesani, Fondazione Bruno Kessler, Via Sommarive 18, University of Trento, Italy;
2. 2011.12.2, Title: The role of oscillations and causality analysis: A systems modelling framework,
Hosted by Dr. Ron Kupers, Institute of Neuroscience & Pharmacology, University of Copenhagen, Denmark;
3. 2011.5.30, Title: Time-frequency feature extraction based on time-varying modelling identification from EEG signals,
Hosted by Professor Tobias Moser, Department of Otorhinolaryngology, University of Göttingen, Germany;
4. 2011.2.14, Title: A time varying model for Disturbance Storm Time (Dst) Index analysis,
Hosted by The Inaugural ACSE Symposium, University of Sheffield, United Kingdom
学术兼职
中国体视学学会理事
“仿真与虚拟现实”分会委员
BIOINFO Mechanical Engineering 主编
International Journal of Biomedical Engineering and Science编委
Advances in Automobile Engineering 编委
中国体视学与图像分析编委
Multimedia Tools and Applications--Guest Editor (SCI index)
Neurocomputing --Guest Editor (SCI index)
尊敬的 先生/女士
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