教师简介

张著洪，男，毕业于重庆大学，博士，教授，大数据系主任。

电子邮件：zhzhang@gzu.edu.cn。

招生学科方向：信号与信息处理、大数据技术与工程。

主要研究领域与方向：智能优化、视觉进化神经网络、深度学习与大数据分析。

主要贡献

2017年以来主要承担的科研项目：

[1]主持.参数扰动或概率约束优化问题的微种群免疫协同进化算法及应用研究(61563009)，国家自然科学基金，2015-2019

[2]主持.基于果蝇视觉神经系统的高维非线性约束优化神经网络及其理论与应用，国家自然科学基金，2021-2025

2017年以来主要发表学术论著：

[1] Zhuhong Zhang*, Tianyu Xiao, Xiuchang Qin,Fly visual evolutionary neural networksolving large-scale global optimization. Int J Intell Syst.2021,36: 6680-6712.SCI

[2] Lun Li, Zhuhong Zhang*, Jiaxuan Lu. Artificial fly visual joint perception neural networkinspired by multiple-regional collision detection. Neural Networks 135 (2021)13-281. SCI

[3]Bin Hu, Zhuhong Zhang*. Bio-inspired visual neural network on spatio-temporal depthrotation perception, Neural Computing and Applications, 2021,33:10351-10370.SCI

[4]Zhuhong Zhang*, Lun Li, Jiaxuan Lu. Gradient-based fly immune visual recurrent neuralnetwork solving large-scale global optimization.Neurocomputing 454(2021)238-253SCI.

[5]Zhuhong Zhang, Renchong Zhang.Danger theory inspired micro-population immuneoptimization for probabilistic constrained programming. Evolving Systems, 2020, 11(2):333-348.EI.

[6]Zhuhong Zhang. Fast multiobjective immune optimization approach solving multiobjective interval number programming.Swarm and Evolutionary Computation, 2019,51: 100578SCI.

[7]Dan Wang,Zhuhong Zhang. Variational Bayesian inference based robust multiplemeasurement sparse signal recovery, Digital Signal Processing, 2019, 89: 131-144, SCI

[8] Dan Wang, Zhuhong Zhang. KKT condition-based smoothing recurrent neural network fornonsmooth nonconvex optimization in compressed sensing. Neural Comput & Applic, 201931:2905-2920.SCI.

[9] Bin Hu, Zhuhong Zhang. Bio-plausible visual neural network for spatio-temporally spiralmotion perception.Neurocomputing.2018, 310: 96-114, SCI.

[10]Zhuhong Zhang, Xiaoxia Wang, Jiaxuan Lu. Multi-objective immune genetic algorithmsolving nonlinear interval-valued programming. Engineering Applications of ArtificialIntelligence,2018,67: 235-245,SCI.

[11] Kai Yang, Zhuhong Zhang, Jiaxuan Lu. Adaptive racing ranking-based immuneoptimization approach solving multi-objective expected value programming. Soft Comput.2018.22:2139-2158.SCI

[12] Bin Hu, Zhuhong Zhang, Lun Li. LGMD-based visual neural network for detectingcrowd escape behavior. Proceedings ofCCIS2018, p.772-778, EI.

[13] Dan Wang, Zhuhong Zhang. Smoothing neural network for robust sparse signal recoveryProceedings ofCCIS2018, p.772-778,EI.

[14] Bin Hu, Shigang Yue, Zhuhong Zhang. A rotational motion perception neural networkbased on asymmetric spatiotemporal visual information processing. lEEE Transactions onNeural Networks and Learning Systems,2017,28(11):2803~2821, SCI.

[15]Dan Wang, Zhuhong Zhang. Generalized sparse recovery model and its neural dynamicaloptimization method for compressed sensing. Circuits Syst Signal Process, 2017, 36:4326~4353.SCI.

[16]Juan Tao, Zhuhong Zhang.Continuous dependence and exponential stability ofsemi-linear interval-valued differential equations, Journal of Intelligent & Fuzzy Systems,2017，33:761~778.SCI.

[17]Zhuhong Zhang,Lun Li,Renchong Zhang.Danger theory based micro immuneoptimization algorithm solving probabilistic constrained optimization, 2017, 2nd IEEEInternational Conference onComputational Intelligence and Applications, Beijing.2017.9.8-2017.9.11.EI.

[18]刘健,张著洪”.求解约束函数优化的改进型果蝇视觉进化神经网络，微电子学与计算机，2022，39(4):41-48,中文核心.

[19]肖天字，张著洪.求解大规模函数优化的粒子群优化算法.计算机工程与设计2021,42(6):1614-1622,中文核心

[20]张仁崇，张著洪。非线性多目标概率约束规划免疫优化算法，北京航空航天大学学报，2020，5:900-914,中文核心，EI.

2017年以来获得发明专利、科研(教学)成果奖及成果推广情况：

[1]张著洪，谢雪峰，王开明，田坤.泵功图计量稳定性方法，发明专利，2017，ZL20141 0675007.3

[2]张著洪，杨昌熙，胡滨，胡常俊.基于生物视觉的智能视频监控与预警系统，发明专利，2022，No.2019110839345，已授权.

学术兼职及荣誉称号：

2009-2015:Applied Soft Computing, Associate Editor.