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李若霞           师资博士后     
姓名: 李若霞
   
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教育工作经历:

2018/03-至今,电子竞技竞猜平台,电竞竞猜

2015/03-2017/12,东南大学, 数学学院,博士

2012/09-2014/12,燕山大学, 理学院, 硕士

2008/09-2012/07,黄淮学院, 数学科学学系,本科

论文、专著:

[1] Ruoxia Li, Xingbao Gao, Jinde Cao, Exponential state estimation for stochastically disturbed discrete-time memristive neural networks: Multiobjective Approach, IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2019.2938774.

[2] Ruoxia Li, Jinde Cao, Finite-time stability analysis for markovian jump memristive neural networks with partly unknown transition probabilities, IEEE Transactions on Neural Networks and Learning Systems, 2016, 28(12): 2924-2935.

[3] Ruoxia Li, Xingbao Gao, Jinde Cao, Quasi-state estimation and quasi-synchronization control of quaternion-valued fractional-order fuzzy memristive neural networks: Vector ordering approach, Applied Mathematics and Computation, 362 (2019) 124572.

[4] Ruoxia Li, Xingbao Gao, Jinde Cao, Non-fragile state estimation for delayed fractional-order memristive neural networks, Applied Mathematics and Computation, 340 (2019) 221–233. (ESI高被引文章)

[5] Ruoxia Li, Jinde Cao, Exponential stabilization of inertial quaternion-valued Cohen-Grossberg neural networks: lexicographical order method, International Journal of Robust and Nonlinear Control, DOI: 10.1002/rnc.5049.

[6] Ruoxia Li, Xingbao Gao, Jinde Cao, Kai Zhang, Dissipativity and exponential state estimation for quaternion-valued memristive neural networks, Neurocomputing, 363 (2019) 236–245.

[7] Ruoxia Li, Xingbao Gao, Jinde Cao, Exponential synchronization of stochastic memristive neural networks with time-varying delays, Neural Processing Letters, 50 (2019) 459–475.

[8] Ruoxia Li, Xingbao Gao, Jinde Cao, Kai Zhang, Stability analysis of quaternion-valued Cohen-Grossberg neural networks, Mathematical Methods in the Applied Sciences, 42 (2019) 3721–3738.

[9] Ruoxia Li, Xingbao Gao, Jinde Cao, Kai Zhang, Exponential stabilization control of delayed quaternion-valued memristive neural networks: Vector Ordering Approach, Circuits, Systems, and Signal Processing, 39 (2020) 1353–1371.

[10] Ruoxia Li, Jinde Cao, Stability analysis of reaction-diffusion uncertain memristive neural networks with time-varying delays and leakage term, Applied Mathematics and Computation, 2016, 278: 54-69.(ESI高被引文章)(热点论文)

[11] Ruoxia Li, Jinde Cao ,Dissipativity analysis of memristive neural networks with time-varying delays and randomly occurring uncertainties, Mathematical Methods in the Applied Sciences, 2016, 39: 2896-2915.(ESI高被引文章)

[12] Ruoxia Li, Jinde Cao, Ahmad Alsaedi, Fuad Alsaadi, Exponential and fixed-time synchronization of Cohen-Grossberg neural networks with time-varying delays and reaction-diffusion terms, Applied Mathematics and Computation, 2017, 313: 37–51.

[13] Ruoxia Li, Jinde Cao, Ahmed Alsaedi, Bashir Ahmad, Passivity analysis of delayed reaction-diffusion Cohen-Grossberg neural networks via Hardy-Poincarè inequality, Journal of the Franklin Institute, 2017, 354: 3021–3038.

[14] Ruoxia Li, Jinde Cao, Nonlinear measure approach for the robust exponential stability analysis of interval inertial Cohen-Grossberg neural networks, Complexity, 2016, 21(S2): 459-469.

[15] Ruoxia Li, Jinde Cao, Ahmad Alsaedi, Fuad Alsaadi, Stability analysis of fractional-order delayed Neural networks, Nonlinear Analysis: Modelling and Control, 2017, 22: 505–520.

[16] Jinde Cao, Ruoxia Li, Fixed-time synchronization of delayed memristor-based recurrent neural networks, SCIENCE CHINA Information Sciences, 2017, 60: 032201.(ESI高被引文章)

[17] Jinde Cao, Ruoxia Li, et al., Traffic network equilibrium problems with demands uncertainty and capacity constraints of arcs by scalarization approaches, SCIENCE CHINA Technological Sciences, DOI: 10.1007/s11431-017-9172-4.

科研项目:

[1] 国家自然科学基金青年基金项目:基于忆阻的四元数神经网络稳定性分析和优化控制 (61803247,2019.01.01-2021.12.31, 17万元).

[2] 中国博士后科学基金第64批面上一等资助: 具有离散时间的四元数忆阻神经网络的动力学分析 (2018M640948, 2019.1-2020.12, 8万元).

[3] 陕西省博士后科学基金:具有反应扩散项的忆阻四元数网络的动力学分析  (2018BSHEDZZ129, 2019.1-2020.12, 5万元).

[4] 陕西省自然科学基金一般项目(青年): 基于忆阻的分数阶四元数神经网络的动力学分析 (2020JQ-421, 2020.1-2021.12, 3万元).

[5] 中央高校基本科研业务费: 基于离散时间的四元数网络的耗散性分析(GK201903003, 2019.1-2020.12, 6万元).

各种奖励:

讲授课程:

《高等数学》,《线性代数与概率》,《进化算法选讲》,《神经网络》,《分数阶微积分》

历届指导研究生:


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