Profile:

李沛洋，男，中共党员，博士，毕业于电子科技大学，现为重庆邮电大学生物信息学院副教授，硕导，入选重庆邮电大学文峰青年，中国生物医学工程学会第十届青年委员。目前主要从事脑-机接口相关算法研究，以第一作者在国际学术期刊（IEEE TNSRE、IEEE TNNLS、IEEE TMI、IEEE TBME等）上发表科研论文10余篇，主持国家自然科学基金（青年基金）一项。

主要教育、科研经历:

2019/12 - 至今， 重庆邮电大学，生物信息学院，副教授

2018/07 - 2019/12， 重庆邮电大学，生物信息学院，讲师

2014/09 - 2018/06，电子科技大学，生命科学与技术学院，博士

2011/09 - 2014/06，电子科技大学，生命科学与技术学院，硕士

2007/09 – 2011/06，重庆邮电大学，生物信息学院，学士

主要研究方向：

模型优化，模式识别，脑-机接口，脑与认知科学

代表性论文

[1]   Peiyang Li, Xiaoye Huang, Xuyang Zhu, et al. Lp (p≤1) norm partial directed coherence for directed network analysis of scalp EEGs[J]. Brain Topography, 2018: 1-15

[2]   PeiYang Li, Xiaoye Huang, Xuyang Zhu, et al. Robust brain causality network construction based on Bayesian multivariate autoregression[J]. Biomedical Signal Processing and Control, 2020, 58: 101864.

[3]   Peiyang Li, Xiaoye Huang, Fali Li, et al. Robust Granger analysis in Lp norm space for directed EEG network analysis[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2017, 25(11): 1959-1969

[4]   Peiyang Li, Xurui Wang, Fali Li, et al. Autoregressive model in the Lp norm space for EEG analysis[J]. Journal of Neuroscience Methods, 2015, 240: 170-178

[5]   Peiyang Li, Peng Xu, Rui Zhang, et al. L1 norm based common spatial patterns decomposition for scalp EEG BCI. Biomedical engineering online, 2013, 12(1): 77.

[6]   PeiYang Li, Huan Liu, Yajing Si, et al. EEG based emotion recognition by combining functional connectivity network and local activations. IEEE Transactions on Biomedical Engineering, 2019. 66(10), 2869-2881.

[7]   Xuyang Zhu, Peiyang Li, Cunbo Li, et al. Separated channel convolutional neural network to realize the training free motor imagery BCI systems[J]. Biomedical Signal Processing and Control, 2019, 49: 396-403.

[8]   Bore, Joyce Chelangat, Chanlin Yi, Peiyang Li, et al. Bore J C, Yi C, Li P, et al. Sparse EEG Source Localization Using LAPPS: Least Absolute lP (0< p< 1) Penalized Solution[J]. IEEE Transactions on Biomedical Engineering, 2018.

[9]   Joyce ChelangatBore, PeiyangLi , Dennis JoeHarmaha, et al. Directed EEG neural network analysis by LAPPS (p≤ 1) Penalized sparse Granger approach[J]. Neural Networks, 2020, 124: 213-222.

更多论文见https://scholar.google.com/citations?hl=zh-CN&pli=1&user=SakG-ywAAAAJ