张瑞梅 - 四川大学 - 网络空间安全学院

个人简介

个人简介 2019年12月在电子科技大学获理学博士学位，2017年9月—2018年8在加拿大University of Waterloo访学，2018年10月—2019年10月在韩国Yeungnam University访学，2020年3月作为引进人才加入四川大学网络空间安全学院。入选四川大学“双百人才工程B计划”。科研情况一直从事神经网络和网络安全控制的研究，发表学术论文30余篇。以第一作者/通讯作者身份在IEEE Transactions on Cybernetics, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Fuzzy Systems, Fuzzy Sets and Systems, Information Sciences等国际期刊上发表SCI论文26篇，其中包括10篇IEEE Transactions系列汇刊论文，4篇ESI高被引论文，论文总被引用700余次(Google学术统计)。主持国家自然科学基金1项。现担任国家自然科学基金项目通讯评审专家，美国《数学评论》评论员和10余个国际SCI期刊的审稿人。近年主持的科研项目 1. 国家自然科学基金青年项目，62003229，反应扩散神经网络系统的优化采样控制问题研究，2021/01-2023/12，主持。

研究领域

神经网络、网络安全控制

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

1. R. Zhang, D. Zeng, J.H. Park*, H.K. Lam, X. Xie, Fuzzy sampled-data control for synchronization of T-S fuzzy reaction-diffusion neural networks with additive time-varying delays,IEEE Transactions on Cybernetics, vol. 51, no. 5, pp. 2384-2397, 2021. 2. R. Zhang, D. Zeng, J.H. Park, Y. Liu, X. Xie, Adaptive event-triggered synchronization of reaction-diffusion neural networks,IEEE Transactions on Neural Networks and Learning Systems, DOI:10.1109/TNNLS.2020.3027284. 3. R. Zhang, D. Zeng, J.H. Park*, H.K. Lam*, S. Zhong, Fuzzy adaptive event-triggered sampled-data control for stabilization of T-S fuzzy memristive neural networks with reaction-diffusion terms,IEEE Transactions on Fuzzy Systems, vol. 29, no. 7, pp. 1775-1785, 2021. 4. R. Zhang, D. Zeng, J.H. Park*, Y. Liu, S. Zhong, A new approach to stabilization of chaotic systems with non-fragile fuzzy proportional retarded sampled-data control,IEEE Transactions on Cybernetics, vol. 49, no. 9, pp. 3218-3229, 2019. 5. R. Zhang, D. Zeng, J.H. Park*, Y. Liu, S. Zhong, A new approach to stochastic stability of Markovian neural networks with generalized transition rates,IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 2, pp. 499-510, 2019. 6. R. Zhang, D. Zeng, J.H. Park*, Y. Liu, S. Zhong, Pinning event-triggered sampling control for synchronization of T-S fuzzy complex networks with partial and discrete-time couplings,IEEE Transactions on Fuzzy Systems, vol. 27, no. 12, pp. 2368-2380, 2019. 7. R. Zhang, D. Zeng, X. Liu*, S. Zhong, J. Cheng, New results on stability analysis for delayed Markovian generalized neural networks with partly unknown transition rates,IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 11, pp. 3384-3395, 2019. 8. R. Zhang, D. Zeng, J.H. Park*, Y. Liu, S. Zhong, Quantized sampled-data control for synchronization of inertial neural networks with heterogeneous time-varying delays,IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 12, pp. 6385-6395, 2018. 9. R. Zhang, D. Zeng, J.H. Park*, Y. Liu, S. Zhong, Nonfragile sampled-data synchronization for delayed complex dynamical networks with randomly occurring controller gain fluctuations,IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 48, no. 12, pp. 2271-2281, 2018. 10. D. Zeng,R. Zhang*, J.H. Park*, Z. Pu, Y. Liu, Pinning synchronization of directed coupled reaction-diffusion neural networks with sampled-data communications,IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 6, pp. 2092-2103, 2020.