基本情况
2018/03-至今，陕西师范大学，数学与信息科学学院
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
代表性学术论文
[1] Ruoxia Li, Jinde Cao, Exponential H∞ State Estimation for Memristive Neural Networks: Vector Optimization Approach，IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2020.**.
[2] Ruoxia Li, Jinde Cao, Passivity and Dissipativity of Fractional-Order Quaternion-Valued Fuzzy Memristive Neural Networks: Nonlinear Scalarization Approach, IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2020.**.
[3] Ruoxia Li, Jinde Cao, Changfeng Xue, R. Manivannan, Quasi-stability and quasi-synchronization control of quaternion-valued fractional-order discrete-time memristive neural networks, Applied Mathematics and Computation, 395 (2021) 125851.
[4] 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, 31(9) (2020) 3168-3177.
[5] 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, 28 (12) (2016) 2924-2935.
[6] 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.
[7] 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）
[8] Ruoxia Li, Jinde Cao, Exponential stabilization of inertial quaternion-valued Cohen-Grossberg neural networks: lexicographical order method, International Journal of Robust and Nonlinear Control, 30 (2020) 5205-5220.
[9] Ruoxia Li, Xingbao Gao, Jinde Cao, Kai Zhang, Dissipativity and exponential state estimation for quaternion-valued memristive neural networks, Neurocomputing, 363 (2019) 236-245.
[10] Ruoxia Li, Xingbao Gao, Jinde Cao, Exponential synchronization of stochastic memristive neural networks with time-varying delays, Neural Processing Letters, 50 (2019) 459-475.
[11] 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.
[12] 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.
[13] Ruoxia Li, Jinde Cao, Stability analysis of reaction-diffusion uncertain memristive neural networks with time-varying delays and leakage term, Applied Mathematics and Computation, 278 (2016) 54-69.（ESI高被引文章）（热点论文）
[14] Ruoxia Li, Jinde Cao ,Dissipativity analysis of memristive neural networks with time-varying delays and randomly occurring uncertainties, Mathematical Methods in the Applied Sciences, 39 (2016) 2896-2915.（ESI高被引文章）
[15] Ruoxia Li, Jinde Cao, Ahmad Alsaedi, Fuad Alsaadi, Exponential and ?xed-time synchronization of Cohen-Grossberg neural networks with time-varying delays and reaction-diffusion terms, Applied Mathematics and Computation, 313 (2017) 37-51.
[16] Ruoxia Li, Jinde Cao, Ahmed Alsaedi, Bashir Ahmad, Passivity analysis of delayed reaction-diffusion Cohen-Grossberg neural networks via Hardy-Poincare inequality, Journal of the Franklin Institute, 354 (2017) 3021-3038.
[17] Ruoxia Li, Jinde Cao, Nonlinear measure approach for the robust exponential stability analysis of interval inertial Cohen-Grossberg neural networks, Complexity, 21(S2) (2016) 459-469.
[18] Ruoxia Li, Jinde Cao, Ahmad Alsaedi, Fuad Alsaadi, Stability analysis of fractional-order delayed Neural networks, Nonlinear Analysis: Modelling and Control, 22 (2017) 505-520.
[19] Jinde Cao, Ruoxia Li, Fixed-time synchronization of delayed memristor-based recurrent neural networks, SCIENCE CHINA Information Sciences, 60 (2017) 032201.（ESI高被引文章）
[20] 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, 61 (11) (2018) 1642-1653.
教育科研项目
[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 (**，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(GK, 2019.1-2020.12, 6万元).
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》






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