基本资料
姓名：李彦里
导师：高忠科
年级：2017级
学历：硕士
电子信箱：cesareli@tju.edu.cn
学习经历
（1）2017.09-2020.01 天津大学， 电气自动化与信息工程学院，控制工程，硕士
（2）2013.09-2017.07 天津大学， 电气自动化与信息工程学院， 自动化专业，学士
研究领域
(1) 信号处理
(2) 机器学习
(3) 多相流检测技术
(4) 人机交互系统
科研成果
(1)ZK Gao, YL Li, et.al, A coincidence filtering-based approach for CNNs in EEG-based recognition, IEEE Transactions on Industrial Informatics, DOI: 10.1109/TII.2019.2955447. JCR 1区, IF= 7.377.
(2)ZK Gao, YL Li, et.al, A GPSO-optimized convolutional neural network for EEG-based emotion recognition, Neurocomputing, 2020, DOI: 10.1016/j.neucom.2019.10.096. JCR 2区，IF=4.072.
(3)ZK Gao, YL Li, et.al, A recurrence network-based convolutional neural network for fatigue driving detection from EEG, Chaos: An Interdisciplinary Journal of Nonlinear Science, vol. 29, 113126 (2019); https://doi.org/10.1063/1.5120538. JCR 3区，IF=2.643.
(4)YX Yang, ZK Gao, YL Li, et.al, A complex network-based broad learning system for detecting driver fatigue from EEG signals, IEEE Transactions on Systems, Man, and Cybernetics: Systems, accepted, to be published in 2020. JCR 1区，IF=7.351.
(5)YX Yang, ZK Gao, XM Wang, YL Li, et.al, A recurrence quantification analysis-based channel-frequency convolutional neural network for emotion recognition from EEG, Chaos: An Interdisciplinary Journal of Nonlinear Science, 2018, 28: 085724. JCR 3区，IF=2.643.
(6)ZK Gao, XM Wang, YX Yang, YL Li, et.al, A channel-fused dense convolutional network for EEG-based emotion recognition, IEEE Transactions on Cognitive and Developmental Systems. JCR2区, IF=2.755.
(7)一种基于多目标微粒群算法优化的深度学习模型及应用，专利号201810169310.4.
