刘自鑫,男,汉族,1977年3月出生于四川乐至。中共党员,理学博士、教授、硕士生导师。目前属0638太阳集团统计系,主要从事神经网络稳定性研究和博弈、优化问题的神经网络计算研究。
一、学习经历和主要讲授课程
大学本科:四川师范学院(西华师范大学)数学教育专业;
硕士研究生:电子科技大学运筹学与控制论专业;
博士研究生:电子科技大学应用数学专业;
主要讲授课程为:本科生课程,《常微分方程》、《数学分析》、《ISEC线性代数》、《ISEC微积分》、《高等数学》、《应用多元统计分析》;研究生课程,《应用泛函分析》、《泛函微分方程》。
二、主要成果
主要代表性论文:
1. 2010-2017年发表的期刊论文
[1] Zixin Liu, Yuanan Liu, and Lianglin Xiong, Robust Linear Neural network for constrained quadratic optimization. Discrete Dynamics in Nature and Society. Volume 2017, Article ID 5073640, 10 pages. https://doi.org/10.1155/2017/5073640 (SCI , IF: 0.82).
[2] Zixin Liu, Yuanan Liu, Nengfa Wang, and Lianglin Xiong. Neural Network Method for Compressed Sensing. Advances in Intelligent Systems and Computing. 2017, 686: 497-502. (EI)
[3] Lianglin Xiong, Jun Cheng, Jinde Cao, Zixin Liu, T Simos, Novel inequality with application to improve the stability criterion for dynamical systems with two additive time-varying delays. Applied Mathematics & Computation, 2017, 321: 1339-1351. (SCI, EI, IF:1.349)
[4] 王能发, 杨哲, 刘自鑫, 一般经济均衡价格点集的通有稳定性和本质连通区. 系统科学与数学. 2017, 37(1): 196–202.(核心)
[5] Lianglin Xiong, Haiyang Zhang, Yongkun Li, and Zixin Liu, Improved Stabilization Criteria for Neutral Time-Delay Systems. Mathematical Problems in Engineering.Volume 2016, Article ID 8682543, 13 pages. http://dx.doi.org/10.1155/2016/8682543 (SCI, IF: 1.02)
[6] Lianglin Xiong, Haiyang Zhang, Yongkun Li, Zixin Liu, Improved stability and H∞ performance for neutral systems with uncertain Markovian jump. Nonlinear Analysis: Hybrid Systems, 2016,19:13–25. (SCI, IF: 2.12)
[7] Mingxing Zhang, Jiannan Qiao, Huawei Yang, Zixin Liu, Shrinkage Estimation of Semiparametric Model with Missing Responses for Cluster Data. Open Journal of Statistics, 2015,5: 768-776.
[8] Zixin Liu, Nengfa Wang, Neural network to solve concave games. International Journal of Computer Games Technology, Volume 2014, Article ID 249721, 8 pages http:// dx. doi. org/10.1155/2014/249721. (EI)
[9] Jian Yu, Zixin Liu*, Daoyun Xu, and Dingtao Peng. Existence and stability analysis of optimal control. Optimal Control Applications and Methods, 2014, 35: 721–729. (SCI, IF: 1.062, 通讯作者)
[10] Zixin Liu, Jian Yu, Daoyun Xu, and Dingtao Peng. Applied Mathematics and Computation, 2013, 220(1): 46-52. (SCI, EI IF:1.349)
[11] Zixin Liu, Jian Yu, Daoyun Xu, and Dingtao Peng. Piecewise convex technique for the stability analysis of delayed neural network. Journal of Applied Mathematics, Volume 2013, Article ID 710741, 10 pages, http://dx.doi.org/10.1155/2013/710741. (SCI, IF: 0.834)
[12] Zixin Liu, Jian Yu, Daoyun Xu, and Dingtao Peng. Wirtinger-type inequality and the stability analysis of delayed Lur'e system. Discrete Dynamics in Nature and Society, Volume 2013, Article ID 793686, 9 pages http://dx.doi.org/10.1155/2013/793686. (SCI, IF: 0.82)
[13] Longqiao Zhou, Zixin Liu*, Shu Lü. Improved robust stability criteria of a class of neutral Lur’e systems with interval time-varying delays. International Journal of Mathematical Sciences, 2013, 7(6): 58-65. (EI, 通讯作者)
[14] Zixin Liu, Jian Yu , and Daoyun Xu. Vector Wirtinger-type inequality and the stability analysis of delayed neural network. Communications in Nonlinear Science and Numerical Simulation, 2013, 18: 1246-1257. (SCI, EI IF:2.806)
[15] Zixin Liu, Jian Yu, Daoyun Xu, and Dingtao Peng. Triple-integral method for the stability analysis of delayed neural networks. Neurocomputing, 2013, 99 (1): 283-289. (SCI,EI IF: 1.580)
[16] Zixin Liu, Jian Yu, and Daoyun Xu. Modeling and stability analysis of delayed game network. International Journal of Computational and Mathematical Sciences, 2012, 6: 59-64. (EI)
[17] Zixin Liu, Huawei Yang, Fangwei Chen. New pth moment stable criteria of stochastic neural networks. International Journal of Engineering and Natural Sciences, 2011, 5 (4): 228-233. (EI)
[18] Zixin Liu, Huawei Yang, Fangwei Chen. Mean square exponential synchronization of stochastic neutral type chaotic neural networks with mixed delay. International Journal of Engineering and Applied Sciences, 2011, 7 (4): 268-274. (EI)
[19] Zixin Liu, Shu Lü, Shouming Zhong, and Mao Ye. Augmented Lyapunov approach to exponential stability of discrete-time neural networks. 数学研究与评论, 2011, 3: 479-489.
[20] 刘自鑫, 钟守铭. 网络化控制系统随机容错控制.电子科技大学学报(自然版), 2011, 39 (4): 449-553. (EI)
[21] Zixin Liu, Shu Lü, Shouming Zhong, and Mao Ye. Improved exponential stability criteria fordiscrete-time neural networks with time-varying delay. Neurocomputing, 2010, 73 (4-6): 975-985. (SCI, EI IF:1.580)
[22] Zixin Liu, Shu Lü, Shouming Zhong, and Mao Ye. pth moment exponential synchronization analysis for aclass of stochastic neural networks with mixed delays. Communications in Nonlinear Science and Numerical Simulation, 2010, 15 (7): 899-1909. (SCI, EI, IF: 2.806 )
[23] Zixin Liu, Shu Lü, Shouming Zhong, and Mao Ye. Stabilization analysis for discrete-time systems with time delay. Applied Mathematics and Computation, 2010, 216: 2024-2035. (SCI, EI IF: 1.317)
[24] Zixin Liu, Jianjun Jiao, Wanping Bai. pth moment exponential stability of stochastic recurrent neuralnetworks with distributed delays. International Journal of Computational and Mathematical Sciences, 2010, 4 (1): 52-58. (EI)
[25] Zixin Liu, Shu Lü, Shouming Zhong, and Mao Ye. Improved robust stability and stabilization conditions of discrete-time delayed system. International Journal of Computational and Mathematical Sciences, 2010, 4 (4): 191-197. (EI)
[26] Zixin Liu , Fangwei Chen. Exponential stability analysis for switched cellular neural networks with time-varying delays and impulsive effects. International Journal of Computational and Mathematical Sciences, 2010, 4 (8): 350-356. (EI)
[27] Zixin Liu, Shu Lü, Shouming Zhong, and Mao Ye. Robust BIBO stabilization analysis for discrete-time uncertain system. World Academy of Science, Engineering and Technology, 2010, 4: 272-276. (EI)
[28] Zixin Liu, Shu Lü, Shouming Zhong, and Mao Ye. Augmented Lyapunov method for BIBO stabilization of discrete system. Journal of Mathematics Research, 2010, 2 (1): 116-122.
[29] 刘自鑫,吕恕,钟守铭,叶茂.离散时滞网络化系统H∞控制.计算机工程与应用, 2010, 46 (1): 18-20.
[30] 刘自鑫,吕恕,钟守铭,叶茂.网络化系统控制器设计的矩阵分解方法. 计算机工程与应用, 2010, 46 (4): 18-21.
[31] 刘自鑫,吕恕,钟守铭,叶茂.二次规划问题的神经网络方法及其数值仿真.计算机仿真, 2010, 9: 161-164.
[32] 刘自鑫, 吕恕, 钟守铭, 叶茂. 时滞网络化控制系统控制器设计新方法. 计算机工程, 2010, 36: 32-36.
[33] 刘自鑫,吕恕,钟守铭,叶茂.一类网络化系统控制器设计新方法. 微电子学与计算机, 2010, 12: 14-17.
2. 2008-2009年发表的期刊论文:
[1] Zixin Liu, Shu Lü, and Shouming Zhong. Novel exponential stability conditions for a class of interval projection networks. International Journal of Biomathematics, 2009, 7 (2):165-170. (SCI IF: 1.667)
[2] Zixin Liu, Shu Lü, Shouming Zhong, and Mao Ye. New improved exponential stability criteria for discrete-time neural networks with time-varying delay Discrete Dynamics in Nature and Society,Volume 2009, Article ID 874582, 23 pages doi:10.1155/2009/874582. (SCI IF: 0.688)
[3] Zixin Liu, Shu Lü, Shouming Zhong, and Mao Ye. Improved robust stability criteria of uncertain neutral systems with mixed delays. Abstract and Applied Analysis, Volume 2009, Article ID 294845,18 pages doi:10.1155/2009/294845. (SCI IF: 1.313)
[4] Zixin Liu, Shu Lü, Shouming Zhong, and Mao Ye. Advanced Gronwall-Bellman-Type integral inequalities and their applications. International Journal of Computational and Mathematical Sciences, 2009, 3 (2): 74-79. (EI)
[5] Zixin Liu, Shu Lü, and Shouming Zhong. Design of synchronization controller for delayed chaotic systems with parameter mismatch. Journal of Computational Information Systems, 2009, 5 (5): 1409-1417. (EI)
[6] Zixin Liu, Shu Lü, Shouming Zhong, and Mao Ye. pth moment exponential synchronization of a class of chaotic neural networks with mixed delays. International Journal of Applied Mathematics and Computer Sciences, 2009, 5 (3): 144-149. (EI)
[7] Zixin Liu, Shu Lü, Shouming Zhong, and Mao Ye. Exponential stability and periodicity of a class of cellular neural networks with time-varying. International Journal of Engineering and Mathematical Sciences, 2009, 5 (2): 174-181. (EI)
[8] Zixin Liu, Shu Lü, and Shouming Zhong. Design of dynamic controller for neutral differential system with multiple delays in control input. Journal of Electronics Science and Technology of China, 2009, 7 (2): 165-170.
[9]刘自鑫,吕恕,钟守铭,叶茂.基于分块矩阵的投影神经网络收敛性分析.计算机应用研究, 2009, 26 (4): 1286-1228.
[10]刘自鑫,吕恕,钟守铭,叶茂.细胞神网路指数稳定及周期解的新判据.计算机应用研究, 2009, 26 (8): 2879-2880.
[11]刘自鑫,吕恕,钟守铭,叶茂.离散神经网络指数稳定改进条件. 数学的实践与认识, 2009, 23: 33-41.
[12]刘自鑫,吕恕,钟守铭,叶茂. 混沌时滞随机神经网络同步控制. 纯粹数学与应用数学, 2009, 23: 219-226.
3. 2008-2017年发表的会议论文:
[1] Zixin Liu,Yuanan Liu. Differential Inclusion Neural Network for Compressed Sensing. Advances in Engineering Research, volume 119: Page: 62-65. 2nd International Conference on Automatic Control and Information Engineering (ICACIE 2017) (EI, ISTP)
[2] Mingxing Zhang, Zixin Liu, Jiannan Qiao, Back-fitting Estimation of Semiparametric Partially Linear Varying-coefficient Models with PCA. International Conference on Education, 2015,1:92-97. ( ISTP)
[3] Zixin Liu, Shu Lü, and Shouming Zhong. A new delayed projection neural network for solving linear variational inequalities and quadratic optimization problem. 2008 International Symposium on Computational Intelligence and Design Wuhan, P. R. China, 2008, 10: 211-214. (EI)
[4] Zixin Liu, Shu Lü, Shouming Zhong, and Mao Ye. Exponential synchronization of a class of delayed stochastic neural networks with impulsive effects. Fourth International Conference on Natural Computation, 2008: 573- 577. (EI)
[5] Zixin Liu, Shu Lü, Shouming Zhong, and Mao Ye. Exponentially stable conditions of parametric uncertainty impulsive switched systems with time delay. The IEEE International Conference on Apperceiving Computing and Intelligence Analysis 2008 Proceeding, 2008: 369-372. (EI)
[6] Zixin Liu, Shu Lü, and Shouming Zhong. Exponentially stable conditions of a class of impulsive cellular neural networks with time delays. Proceedings of the 6th Conference of Biomathematics Tai’an, P. R. China, 2008, 8 (25-28): 893-896. (ISTP)
[7] Zixin Liu, Shu Lü. A Fair Comparison of Randomized Response Model. Conference proceedings of 2008 international institute of applied statistics studies, 2008, 1: 425-429. (ISTP)
[8] Zixin Liu, Shu Lü, and Shouming Zhong. Synchronization of neutral type neural networks with time delay. Proceedings of the 6th conference of Biomathematics, Advances in Biomathematics, 2008, 2: 875-879. (ISTP)
主持的课题:
主持和第一参与人身份参与过的重要科研项目:
[1]《神经网络在优化问题中的应用研究》,贵州省教育厅拔尖人才项目,起止年月:2019年1月-2023年12月。(主持,在研)
[2]《大数据分析的神经网络方法研究》,太阳成集团校级重点项目,起止年月:2019年1月-2020年12月。(主持,在研)
[3]《面向智能计算的神经网络稳定性集值映射方法研究》,国家基金委自然基金项目(面上项目),起止年月:2015年1月-2018年12月。(主持,已准备提交结题材料)
[4]《马尔科夫跳跃中立型系统的分析与设计》,国家基金委自然基金项目(地区基金),起止年月:2015年1 月-2018年12月。(第一参与人,已准备提交结题材料)
[5]《有限理性下的一般经济均衡稳定性及其相关问题研究》,贵州省教育自科项目(黔教合KY字[2015]421) ,起止年月:2015年11月-2018年4月。(第一参与人,已结题)
[6]《智能神经网络算法在电商闭环供应链中的应用研究》,贵州省教育厅优秀科技创新人才奖励计划(黔教合KY字[2014]243号) ,起止年月:2015年1月-2018年4月。(主持,已结题)
[7]《中立型随机时滞脉冲神经网络稳定性分析》,中国博士后第52批面上基金项目(博管会),起止年月:2012年10月-2014年6月。(主持,已结题)
[8]《基于BP神经网络的贵州生态经济分区及可持续发展预测研究》,贵州省科技厅软科学基金项目([2011]2004),起止年月:2011年12月-2017年12月。(主持,已结题)
[9]《中立型随机时滞脉冲神经网络稳定性分析》,贵州省科技厅自然科学基金项目([2010] 2139),起止年月:2010年12月-2013年12月。(主持,已结题)
[10]《贵州喀斯特地区环境变化对生物多样性影响的动力学模型研究》,国家基金委自然基金项目(地区基金)(10961008),起止年月 2009年3月-2012年12月(第一参与人,已结题)