职务职称: 数学与应用数学系，教授，博士生导师、硕士生导师 电子邮箱: liqunzhou@tjnu.edu.cn 办公地址: yl6809永利博理楼 B214

个人简介

yl6809永利教师，天津工业与应用数学会常务理事，天津数学会理事，应用数学学科带头人，公司微分方程团队负责人，公司教学督导组组长和方程教研室主任。 研究领域为神经网络理论及应用，提出比例时滞神经网络模型，并应用非线性变换法研究比例时滞神经网络的动力学，突破了有界时滞神经网络理论的研究方法。 提出了比例时滞神经网络多项式稳定性概念，得到国内外学者广泛关注及研究，为比例时滞神经网络动力学及其在二次规划问题和图像加密等领域的应用做了系列基础性工作。 在本学术领域发表学术论文100余篇，其中IEEE Trans. Neural Netw. Learn. Syst.、IEEE Trans. Syst. Man Cybern.: Syst.、IEEE Trans. Netw. Sci. Eng.、IEEE Internet Things J.、 Neural Netw.等期刊发表SCI 50余篇, 在控制理论与应用（英）、系统科学与数学、数学物理学报、电子学报等国内期刊发表论文50余篇。 出版专著一部。主研完成国家自然科学基金项目2项，主持完成天津市自然科学基金面上项目1项和天津市委局级项目1项，主持完成天津市教改项目1项。 目前，主持天津市自然科学基金面上项目1项，主持天津市的研究生教改项目和本科教学教改项目各1项。 指导7篇硕士学位论文获得校级优秀硕士学位论文，其中一篇获得天津市级优秀硕士学位论文。 2024-2025年指导研究生3人获得国家奖学金。

研究方向

神经网络理论及应用；非线性微分方程动力学

承担课程

本科生课程: 《数学分析3-3》、《常微分方程》、《复变函数》、《数学物理方程》、《当代数学前沿》

硕士研究生课程: 《偏微分方程》、《神经网络稳定性理论》、《神经网络导论》、《细胞神经网络动力学》

主持的教改项目和课程建设情况

1. 2025/10-2027/09, 主持天津市高等公司研究生教育改革研究计划项目《基于学科特色的数学研究生学位论文质量保障机制研究与实践》(No. TJYG107), 进行中。

2. 2025/11-2027/10, 主持天津市高等公司本科教学质量与教学改革研究计划项目《“数学思维+”: 以项目和赛事为载体的创新创业核心素养培育路径研究》, 进行中。

3. 2020/10-2022/12, 主持天津市高等公司本科教学质量与教学改革研究计划项目《基于数学建模教学与竞赛活动的探索与实践》(No. B201006505), 已结题。

4. 2022/12, 主持的《常微分方程》在yl6809永利“课程思政”系列优质课程建设项目，结项验收为精品。

5. 2020/3-2023/3，主持完成《常微分方程》天津市一流本科课程建设。

6.  2009/9-2012/9，主持完成《数学物理方程》校级优秀课建设，验收结果为优秀。

7. 2013/9-2016/6，主持完成《常微分方程》校级精品课建设。

8. 2015/9-2019/6，主持完成校通识课《当代数学前沿》校级优秀课建设，验收结果为优秀。

教学获奖情况

1. 2025.6，获yl6809永利“师德先进个人”称号。

2. 2025.4，获yl6809永利“硕士优秀指导教师”称号。

3. 2023.4，指导的硕士学位论文《几类比例时滞神经网络的稳定性、散逸性及同步性研究》获天津市优秀硕士学位论文。

4. 2022.9，获yl6809永利《《常微分方程》教学模式和课程建设的探讨与实践》教学成果二等奖(排名第一)。

5. 2021.6，组建的“微分方程教学团队”获校级"优秀教学团队"称号。

6. 2021年，获yl6809永利“优秀共产党员”称号。

7. 2019年，获yl6809永利“优秀教师”称号。

8. 2018年，获天津市《数学创新型人才培养的探索与实践》教学成果奖二等奖 (排名第三)。

9.  2018年，获yl6809永利《数学创新型人才培养的探索与实践》教学成果奖一等奖 (排名第三)。

10.  2018年，获yl6809永利“师德先进个人”称号。

11. 2016年，获yl6809永利 “教学名师”称号。

12.  2012年，获yl6809永利 “教工先锋岗先进个人”称号。

13.  2010-2015年作为全国老员工数学建模教练，指导全国老员工数学建模竞赛获奖情况如下：

 2010年，获“全国二等奖”一项，“天津市一等奖一项”。

 2011年，获“全国二等奖”一项，“天津市一等奖一项”，“天津市二等奖一项”。

 2012年，获“全国二等奖”两项。2013年，获“天津市一等奖”两项。

 2014年，获“国家一等奖”一项，“天津市一等奖”一项。

 2015年，获“天津市二等奖”一项。

科研项目

主持项目：

1. 天津市自然科学基金项目《具有不确定性的忆阻神经网络同步控制及应用》（No. 24JCYBJC00470），2024年10月-2027年9月，主持，在研

2. 天津市自然科学基金项目《具比例时滞复杂神经网络的动力学行为与仿真研究》（No. JCYBJC85800），2018年10月-2021年6月，主持，已结题

3. 天津市高校科技发展基金计划项目《基于人工神经网络的多约束QoS路由算法研究》（No. 20100813），2010年1月-2013年5月，主持，已结题

4. yl6809永利博士基金项目《延时细胞神经网络的稳定性研究与仿真》(No. 52LX34)，2009年12月-2012年9月，主持，已结题

主要参与项目：

1. 国家自然科学基金项目《基于积分模度量的折线模糊神经网络与广义模糊系统的逼近分析及图像处理》（No. 61374009），2014年1月-2018年12月，第二主研人，已结题

2. 国家自然科学基金项目《基于集值模糊积分的随机延时细胞神经网络的应用研究》（No. 60974144），2009年1月-2013年12月，第二主研人，已结题

3. 天津市自然科学基金联合基金项目《复杂通信环境下无人机群分布式优化与博弈的协作神经动力学算法研究》（No. 25JCLQJC00090），2025年10月-2027年9月，第二主研人，进行中

学术论文

以第一作者或通讯作者已在 IEEE Trans. Neural Netw. Learn. Syst.、IEEE Trans. Syst. Man Cybern.: Syst.、IEEE Trans. Netw. Sci. Eng.、IEEE Internet Things J.、Neural Netw. 等 SCI 期刊上发表50余篇论文。*表示通讯作者。

1.  Yuxian Guo, Liqun Zhou*, Global polynomial synchronization of uncertain complex-valued reaction-diffusion T-S fuzzy memristive neural networks with proportional delays under adaptive event-triggered control, IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2026.3668287.

2.  Yuxian Guo, Liqun Zhou*, Synchronization of uncertain complex-valued antagonistic inertial state-dependent neural networks with piecewise proportional delays by event-triggered control for image encryption, IEEE Internet of Things Journal, DOI:10.1109/JIOT.2026.366207.

3.  Kuo Yan, Liqun Zhou*, Master-slave synchronization of heterogeneous dimensional proportional delay neural networks for image encryption, Neural Networks, 2026, 199: 108703.

4.  Yuxian Guo, Liqun Zhou*, Synchronization of uncertain complex-valued coupled memristive neural networks with proportional delays via event-triggered sliding mode control for image encryption, Journal of Applied Mathematics and Computing, 2026，72: 136 (1-26).

5.   Wenyue Zheng, Liqun Zhou*, Mou Zou, Global polynomial synchronization of neutral-type Cohen-Grossberg neural networks with proportional delays and its application to image encryption, Journal of Computational and Applied Mathematics, 2026, 482: 117330.

6.  Wenyue Zheng, Liqun Zhou*, Global polynomial synchronization of neural networks with bidirectional proportional delays via adaptive pinning control and its application in image encryption, Information Sciences, 2026, 728: 122778.

7.  Liqun Zhou, Jiapeng Han, Zhixue Zhao, Quanxin Zhu*, Tingwen Huang, Global polynomial synchronization of proportional  delay memristive competitive neural networks with uncertain parameters for image encryption, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2025, 55(10): 5424-5434.

8.  Liqun Zhou, Yongkang Zhang，Xinsong Yang*, Jiapeng Han, Adaptive Pinning Controller for Global polynomial synchronization of inertial memristive neural networks with proportional delays and parameter perturbations for image encryption, Neural Networks, 2025, 192: 107889.

9.  Liqun Zhou, Jiapeng Han, Xinsong Yang*, Adaptive synchronization of memristive complex valued neural networks with proportional delays and its application to Image Encryption, Nonlinear Dynamics, 2025, 113: 35255-35271.

10.  Qian Yan, Liqun Zhou*, Adaptive synchronization of a class of neural networks with proportional delays, Complex Systems Stability \& Control, 2025, 1(1): 6.

11. Yaru Wang, Liqun Zhou*, General decay projection synchronization of proportional delay memristive competitive neural networks with uncertain parameters for image encryption, Information Sciences, 2025,  712: 122136.

12. Jiapeng Han, Liqun Zhou*, Fixed-time synchronization of proportional delay memristive complex-valued competitive neural networks, Neural Networks, 2025,  188: 107411.

13. Yan Wan, Liqun Zhou*, Jiapeng Han, Global polynomial synchronization of proportional delay memristive neural  networks with uncertain parameters and its application to image encryption, Engineering Applications of Artificial Intelligence, 2025, 14: 10290.

14. Liqun Zhou, Zhixue Zhao, Quanxin Zhu*, Rui Zhou, Tingwen Huang, Global polynomial stabilization of impulsive neural networks with bidirectional proportional delays, IEEE Transactions on Network Science and Engineering, 2024, 1(1): 471-484.

15.  Shuyi Jia, Liqun Zhou*, Fixed-time stabilization of fuzzy neutral-type inertial neural networks with proportional delays, ISA Transactions, 2024, 144: 167-175.

16. Yan Wan, Liqun Zhou*, Fixed-time synchronization of discontinuous proportional delay inertial neural networks with uncertain parameters, Information Sciences, 2024, 678: 120931.

17. Yongkang Zhang, Liqun Zhou*, State estimation for proportional delayed complex-valued memristive neural networks, Information Sciences, 2024, 680: 121150.

18. Jiapeng Han, Liqun Zhou*, Finite-time synchronization of proportional delay memristive competitive neural networks, Neurocomputing, 2024, 610: 128612.

19. Liqun Zhou*, Zhixue Zhao, Delay-dependent passivity of impulsive coupled reaction-diffusion neural networks with multi-proportional delays, Communications in Nonlinear Science and Numerical Simulation, 2023, 126: 10741.

20. Liqun Zhou, Quanxin Zhu*, Tingwen Huang, Global polynomial synchronization of proportional delayed inertial neural networks, IEEE Transactions on Systems, Man and Cybernetics: Systems, 2023, 53(7): 4487-4497.

21. Qian Li, Liqun Zhou*, Global asymptotic synchronization of inertial memristive Cohen-Grossberg neural networks with proportional delays, Communications in Nonlinear Science and Numerical Simulation, 2023, 123: 107295.

22. Qian Li, Liqun Zhou*, Global polynomial stabilization of proportional delayed inertial memristive neural networks, Information Sciences, 2023, 623: 729-747.

23. Xiehui Song, Liqun Zhou*, Yu Wang, Shiru Zhang, Yuji Zhang, Stability analysis of proportional delayed projection neural network for quadratic programming problems, International Journal of Biomathematics, 2023, 16(1): 2250070.

24. Liqun Zhou*, Zhixue Zhao, Global polynomial periodicity and polynomial stability of Cohen-Grossberg neural networks with proportional delays, ISA Transactions, 2022, 122: 205-217.

25. Yongkang Zhang, Liqun Zhou*, Stabilization and lag synchronization of proportional delayed impulsive complex-valued inertial neural networks, Neurocomputing, 2022, 507: 428-440.

26. Yongkang Zhang, Liqun Zhou*, Novel global polynomial stability criteria of impulsive complex-valued neural networks with multi-proportional delays, Neural Computing and Applications, 2022, 34: 2913-2924.

27. Liqun Zhou*, Global exponential dissipativity of impulsive recurrent neural networks with multi-proportional delays, Neural Processing Letters, 2021, 53: 1435-1452.

28. Liqun Zhou*, Zhixue Zhao, Asymptotic stability and polynomial stability of impulsive Cohen-Grossberg neural networks with multi-proportional delays, Neural Processing Letters, 2020, 51(2): 2607-2627.

29. Zhou Liqun*, Zhao Zhixue, Exponential synchronization and polynomial synchronization of recurrent neural networks with and without proportional delays, Neurocomputing, 2020, 372(1): 109-116.

30. Rui Zhou, Liqun Zhou*, Global polynomial stabilization and global asymptotic stabilization of coupled neural networks with multi-proportional delays, Mathematical Methods in the Applied Sciences, 2020, 43(12): 7345-7360.

31. Lin Xing, Liqun Zhou*, Polynomial dissipativity of proportional delayed BAM neural networks. International Journal of Biomathematics, 2020, 13(6): 2050050.

32. Liqun Zhou*, Zhixue Zhao, Global asymptotic periodicity of impulsive Cohen-Grossberg neural networks with multi-proportional delays, Proceedings of the 39th Chinese Control Conference, July 27-29, Shenyang, China, 2020.

33. Lijuan Su, Liqun Zhou*, Exponential synchronization of memristor-based recurrent neural networks with multi-proportional delays, Neural Computing and Applications, 2019, 31(11): 7907-7920.

34. Liqun Zhou*, Delay-dependent and independent passivity of a class of recurrent neural networks with impulse and multi-proportional delays, Neurocomputing, 2018, 308: 235-244.

35. Lijuan Su, Liqun Zhou*, Passivity of memristor-based recurrent neural networks with multi-proportional delay, Neurocomputing, 2017, 266: 485-493.

36. Liqun Zhou*, Xueting Liu, Mean-square exponential input-to-state stability of stochastic recurrent neural networks with multi-proportional delays, Neurocomputing, 2017, 219: 396-403.

37. Liqun Zhou*, Delay-dependent exponential stability of recurrent neural networks with Markovian jumping parameters and proportional delay, Neural Computing and Application, 2017, 28(s1): 765-773.

38. Liqun Zhou*, Yanyan Zhang, Global exponential periodicity and stability of recurrent neural networks with multi-proportional delays, ISA Transactions, 2016, 60: 89-95.

39. Liqun Zhou*, Yanyan Zhang, Global exponential stability of a class of impulsive recurrent neural networks with proportional delays via fixed point theory, Journal of the Franklin Institute, 2016, 353(2): 561-575.

40. Liqun Zhou*, Zhongying Zhao, Exponential stability of a class of competitive neural networks with multi-proportional delays, Neural Processing Letters, 2016, 44(3): 651-663.

41. Liqun Zhou*, Delay-dependent exponential synchronization of recurrent neural networks with multiple proportional delays, Neural Processing Letters, 2015, 42(3): 619-632.

42. Liqun Zhou*, Yanyan Zhang, Global exponential stability of cellular neural networks with multi-proportional delays, International Journal of Biomathematics, 2015, 8(6): 1550071.

43. Liqun Zhou*, Novel global exponential stability criteria for hybrid BAM neural networks with proportional delays, Neurocomputing, 2015,161: 99-106.

44. Liqun Zhou*, Global asymptotic stability of cellular neural networks with proportional delays. Nonlinear Dynamics, Neurocomputing, 2014, 77(1): 41-47.

45. Liqun Zhou*, Xiubo hen, Yixian Yang, Asymptotic stability of cellular neural networks with multi-proportional delays, Applied Mathematics and Computation, 2014, 229: 457-466.

46. Liqun Zhou*, Dissipativity of a class of cellular neural networks with proportional delays. Nonlinear Dynamics, 2013, 73(3): 1895-1903.

47. Liqun Zhou*, Delay-dependent exponential stability of cellular neural networks with multi-proportional delays, Neural Processing Letters, 2013, 38(3): 347-359.

48. Liqun Zhou*, On the global dissipativity of a class of cellular neural networks with multi-pantograph delays, Advances in Artificial Neural Systems, 2011, 2011: 941426.

49. Liqun Zhou*, Guangda Hu, Global exponential periodicity and stability of cellular neural networks with variable and distributed delays, Applied Mathematics and Computation, 2008, 195(2): 402-411.

50. Liqun Zhou*, Guangda Hu, Almost sure exponential stability of neural stochastic delayed cellular neural networks, Journal of Control Theory and Application, 2008, 6(2): 195-200.

51. Liqun Zhou*, Guangda Hu, A new sufficient condition on the complete stability of a class of cellular neural networks, Third International Symposium on Neural Networks, Chengdu, China, May 28-June 1,2006. Proceedings, Lecture Notes in Computer Science,  Springer-Verlag, Berlin Heidelberg New York, 2006, 3971: 211-216. (SCI：BEM20)

专著

1. 周立群, 具比例时滞递归神经网络的稳定性及其仿真与应用, 北京：机械工业出版社, 2019.1.