何兴，男，汉族，中共党员，四川巴中人，西南大学电子信息工程学院教授，博士生导师。研究领域包括：神经网络，智能电网，分岔理论，神经动力学优化理论，非线性动力系统等。目前主持国家自然科学基金2项和重庆市科委项目2项。
近年来，以第一作者或通讯作者身份发表或录用SCI论文20余篇，其中包括IEEE Trans. Control Syst. Technol., IEEE Trans. Neural Netw. Learn. Syst., IEEE Trans. Cybernetics, IEEE Trans. Syst.，Man Cybern.: Syst.，Neural Networks，Journal of the Franklin Institute, Nonlinear Analysis：RWA, Science China，中国科学等国内外著名期刊,并且担任多个国际期刊和学术会议的审稿人,如IEEE TNNLS，IEEE TSMC-A，IEEE TCYB，IEEE TII, IEEE TSG, WCCI2014，ICONIP 2012，ISNN2013等。
联系邮箱：
hexingdoc@swu.edu.cn,hexingdoc@hotmail.com.
学习和工作经历
2018.07-现在 西南大学电子信息工程学院 教授
2014.01-2018.6西南大学电子信息工程学院 副教授
2016.8-2018.11中科院自动化研究所博士后
2015.12-2016.02香港城市大学访问****
2009.9-2013.12重庆大学计算机学院工学博士
2012.11-2013.10Texas A&M University at Qatar (Research Assistant)
2005.9-2009.7贵州大学理学院理学学士
获奖情况：
2017重庆市自然科学一等奖（排名第5），2018.1.15
西南大学 优秀研究生班主任2018.01
重庆市优秀博士论文2016.9
重庆大学优秀博士论文2015.9
科研项目主持：
1.国家自然科学基金面上项目：基于神经动力学算法的多微网互联模式下的需求响应策略，2018.01-2021.12.
2.国家自然科学青年基金：具有时滞项的离散惯性神经网络的余维2分岔，2015/01-2017/12.
3.重庆市基础与前沿研究计划一般项目：时滞离散Hopfied神经网络的余维2分岔，2014/07-2017/06.
指导研究生创新项目
1.符早中央高校基本科研业务费一般项目学生项目：分布式神经网络算法研究及其在智能电网中的应用2016.05-2016.12.
2.赵友中央高校基本科研业务费一般项目学生项目：基于ADMM算法的智能电网中动态经济分配问题的研究2017.05-2017.12
指导本科生获奖
1.葛灵普等，全国大学生数学建模重庆赛区二等奖，2015年
2.孙淼等，美国大学生数学建模三等奖，2017年
3.汪天才，西南大学本科优秀毕业论文二等奖，2017年
主要论文
1.第一作者论文
[1]Xing He, Junzhi Yu, Tingwen Huang, Chaojie Li, Distributed Power Management for Dynamic Economic Dispatch in the Multi-micro-grids Environment,IEEE Transactions on Control Systems Technology,2018,DOI: 10.1109/TCST.2018.**.
[2]Xing He，Daniel W.C. Ho, Tingwen Huang, Junzhi Yu, Haitham Abu-Rub and Chaojie Li，Second-Order Continuous-Time Algorithms for Economic Power Dispatch in Smart Grids,IEEE Transactions on Systems, Man, and Cybernetics: Systems,2017. DOI: 10.1109/TSMC.2017.**.
[3]Xing He, Tingwen Huang, Junzhi Yu, Chuandong Li and Chaojie Li, An Inertial Projection Neural Network for Solving Variational Inequalities,IEEE Transactions on Cybernetics,47(3)，809-814，2017.
[4]Xing He, Chuandong Li, Tingwen Huang, Chaojie Li,and Junjian Huang, A Recurrent Neural Network for Solving Bilevel Linear Programming Problem.IEEE Transactions on Neural Networks and Learning Systems,25(4), 824-830, 2014.
[5]Xing He, Chuandong Li, Tingwen Huang, Chaojie Li，Bogdanov-Takens Singularity in Tri-Neuron Network With Time Delay，IEEE Transactions on Neural Networks and Learning Systems, 24(6), 1001-1007, 2013.
[6]Xing He,Tingwen Huang,et al. A Continuous-Time Algorithm for Distributed Optimization Based on Multiagent Networks,IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017,DOI:10.1109/TSMC.2017.**.
[7]Xing He, Junzhi Yu, Tingwen Huang, Chuandong Li, and Chaojie Li, Neural networks for solving Nash Equilibrium problem in application of multiuser power control,Neural Networks57(9), 73-78, 2014.
[8]Xing He ,Chuandong Li*, Tingwen Huang and Chaojie Li, Codimension two bifurcation in a delayed neural network with unidirectional coupling.Nonlinear analysis: Real World Application14(2), 1191-1202, 2013.
[9]Xing He*, Chuandong Li, Tingwen Huang and Junzhi Yu,Bifurcation behaviors of an Euler discretized inertial delayed neuron model,Science China Technological Sciences,59 (3)：418~427, 2016.
[10]Xing He*, Chuandong Li, Tingwen Huang, Junjian Huang, Zero-Hopf singularity in bidirectional ring network model with delay.Nonlinear Dynamics, 78:2605-2616, 2014.
2.通讯作者论文
[1] Chaojie Li, Xinghuo Yu, Tingwen Huang, Guo Chen andXing He*,A Generalized Hopfield Network for Nonsmooth Constrained Convex Optimization: Lie Derivative Approach,IEEE Transactions on Neural Networks and Learning Systems,27(2), 308-321, 2016.
[2] You Zhao,Xing He*, Tingwen Huang, et al. Smoothing inertial projection neural network for minimization Lp? q in sparse signal reconstruction,Neural Networks, 99, 31-41, 2018.
[3] Zao Fu,Xing He*, Tingwen Huang and Haitham Abu-Rub, A distributed continuous time algorithm for maximize social welfare in micro grid,Journal of the Franklin Institute, 353(15), 3966-3984，2016.
[4]符早，何兴*，李传东，黄廷文，分布式一致性算法在微网社会福利问题中的应用.中国科学:信息科学,2016, DOI:10.1360/N112016-00112.
[5] Ting Deng,Xing He*, Zhigang Zeng,Recurrent neural network for combined economic and emission dispatch，Applied Intelligence，https://doi.org/10.1007/s10489-017-1072-3，2017.
[6] Tiancai Wang,Xing He*, Tingwen Huang, Chuandong Li, Wei Zhang，Collective neurodynamic optimization for economic emission dispatch problem considering valve point effect in microgrid，Neural Networks,93, 126-136, 2017
[7] Yao Yao, Xing He*, Tingwen Huang, Chaojie Li, and Dawen Xia, A projection neural network for optimal demand response in smart grid environment,Neural Computing Applications,2016, DOI:10.1007/s00521-016-2532-0.
[8] Miao Sun,Xing He*, Tiancai Wang, Jie Tan, Dawen Xia,Circuit implementation of digitally programmable transconductance amplifier in analog simulation of reaction-diffusion neural model,Neurocomputing,227, 74-81, 2017.