个人简介
教授，博导
教育经历
1987/9 - 1991/7，东华大学，工业电气自动化，学士
1991/9 - 1994/3，东华大学，控制理论与控制工程，硕士
1994/4 - 1997/4，东华大学，控制理论与控制工程，博士
工作经历
1997/4 - 1999/9，东华大学，信息科学与技术学院，讲师
2000/10 – 2002/9, 日本东京大学，博士后
2010/10 – 2011/9, 香港理工大学，研究员
1999/10 - 2005/9，东华大学，信息科学与技术学院，副教授
2005/10 - 至今，东华大学，信息科学与技术学院，教授
主要研究领域及成果
一直从事深度学习、类脑计算、机器人、认知神经动力学、智能优化等有关的智能科学与技术方面的研究工作。是国内最早从事遗传算法有关的智能技术的研究者之一，于1992年发表了有关遗传算法方面的研究论文。2000.10-2012.10在日本东京大学Aihara教授实验室完成了认知神经动力学方面的博士后研究工作。主持完成了国家自然科学基金面上项目等科研项目10多项。在《Physical Review E》、《Neural Networks》、《IEEE Transactions on Neural Networks and Learning Systems》、《Neural Computation》、《Nerocomputing》等国际著名杂志及其它重要出版物上发表了神经计算、类脑智能、深度学习等方面的研究论文30多篇。曾获中国纺织工业协会纺织高等教育教学成果奖一等奖、上海市优秀教学成果一等奖。已培养博士研究生、硕士研究生50多名。

目前承担的科研项目
1 丝绸图像的识别与自动检索，国家重点研发计划子课题，主持
2 动态银行网络系统稳定性及实证研究，上海市项目，主持
3 OA系统开发与人事、财务管理系统开发，横向项目，主持
4 神经网络系统中刺激诱发的可调高频同步及其信息处理的动力学研究，国家自然科学基金面上项目，参与
5 宏观经济波动下的动态复杂银行网络系统稳定性及宏观审慎监管研究，国家自然科学基金面上项目，参与
代表性论文
Zhijie Wang, Hong Fan, Kazuyuki Aihara, Three synaptic components contributing to robust network synchronization, Physical Review E,83,051905,2011.
Zhijie Wang, W.K. Wong, Key role of voltage-dependent properties of synaptic currents in robust network synchronization, Neural Networks, 43:55-62, 2013.
Zhijie Wang, Hong Fan, Fang Han, A new regime for highly robust gamma oscillation with co-exist of accurate and weak synchronization in excitatory-inhibitory networks, Cognitive Neurodynamics, 2014, 8: 335-344.
Min Xia,W.K.Wong,Zhijie Wang, Sequence memory based on coherent spin-interaction neural networks. Neural Computation,2014, 26(12):2944-2961.
Fang Han, Zhijie Wang, Hong Fan, Xiaojuan Sun, Optimum neural tuning curves for information efficiency with rate coding and finite-time window, Frontiers in ComputationalNeuroscience, 2015, 9: 67
Fang Han, Zhijie Wang, Hong Fan, Tao Gong, Robust synchronization in an E/I network with medium synaptic delay and high level of heterogeneity, Chinese Physics Letters, 2015, 32(4): 40502
Liuwei Zhou, Zhijie Wang, Xiantao Hu, Bo Chu, Wuneng Zhou, Adaptive almost sure asymptotically stability for neutral-type neural networks with stochastic perturbation and markovian switching, Neurocomputing, 2015, 156: 151-156.
Liuwei Zhou, Zhijie Wang, Jun Zhou, Wuneng Zhou, Mean square synchronization of neural networks with Lévy noise via sampled-data and actuator saturating controller, Neurocomputing, 2016, 173:1235-1244.
Liuwei Zhou，Quanyan Zhu，Zhijie Wang，Wuneng Zhou，Hongye Su，Adaptive exponential synchronization of multislave time-delayed recurrent neural networks with Lévy noise and regime switching，IEEE Transactions on Neural Networks and Learning Systems，2017, 28(12): 2885-2898.
Fang Han, Zhijie Wang, Hong Fan, Determine neuronal tuning curves by exploring optimum firing rate distribution for information efficiency, Frontiers in Computational Neuroscience, 2017 ,11, Article No: 10,10.3389/fncom.2017.00010.
Babar Khan, Zhijie Wang,Fang Han, et al.,Fabric weave pattern and yarn color recognition and classification using a deep ELM network, Algorithms 2017, 10, 117.
Qianqian Zheng，Zhijie Wang，Jianwei Shen,Pattern Dynamics of network-organized system with cross-diffusion，Chinese Physics B，2017.01.01，26（2）：020501.
Qianqian Zheng，Zhijie Wang，Jianwei Shen，Hussain Muhammad Atherlqbal，Turing bifurcation and pattern formation of stochastic reaction-diffusion system，Advances in Mathematical Physics，2017，10.1155/2017/**.
G. Song, Zhijie Wang, H. Fang, et al., Music auto-tagging using deep Recurrent Neural Networks, Neurocomputing, 2018, 292: 104-110
Fang Han,Xiaochun Gu,Zhijie Wang, et al., Global firingrate contrast enhancement in E/I neuronal networksby recurrent synchronized inhibition, Chaos 2018, 28:106324.
X. Peng, Zhijie Wang, H. Fang, et al., A novel time-event-driven algorithm for simulating spiking neural networks based on circular array, Neurocomputing, 2018, 292: 121-129
S. Ding,ZhijieWang,W. Kong, et. al., Electrode regulating system modeling in electrical smelting furnace using recurrent neural network with attention mechanism, Neurocomputing, 2019, 359: 32-40
Zhijie Wang, Xia Peng, Fang Han, et al., A novel parallel clock-driven algorithm for simulation of neuronal networks based on virtual synapse, Simulation, 2020, 96(4):415-427.
Guangxiao Song,Yu Sun,Jiaming Liu,Zhijie Wang,Ulugbek S. Kamilov,A new recurrent plug-and-play prior based on the multiple self-similarity network, IEEE Signal Processing Letters, 2020, 27:451-455.

联系信息
电子邮箱：wangzj@dhu.edu.cn