人物經歷
擔任過二十多個國際學術會議的程式委員會委員,出版主席等。為包括IEEE Transactions on Neural Networks;IEEE Transactions on Circuits and Systems I;IEEE Transactions on Circuits and Systems –II;IEEE Transactions on Systems Man and Cybernetics - Part B;IEEE Transactions on Automatic Control;Automatica在內的二十四個國際學術刊物審稿。希望招收的研究生具有自動化、數學、計算機等相關專業背景。
主講課程
自動控制原理。
研究方向
神經網路理論與套用;切換系統控制理論與套用;計算智慧型;動力系統穩定性;模式識別與聯想記憶。
主要貢獻
主持基金項目
(1)
中國博士後科學基金:人工神經網路的收斂性及其在模式識別中的套用(2004035579)。
(2)國家自然科學基金:一種新的基於RNN簇吸引子的模式流識別方法研究(60405002)。
(3)教育部 “新世紀優秀人才支持計畫” (NCET-06-0658)“基於神經網路的模式識別和聯想記憶的理論研究”。
(4)國家自然科學基金:網路簇多吸引子協調切換及多目標流異聯想研究(60774051)資助。
(5)霍英東第十一屆青年教師基金:“基於切換網路簇多吸引子的動態灰度流記憶研究(111068)”
部分發表論文
(1) Zhigang Zeng, Jun Wang, “Design and analysis of high-capacity associative memories based on a class of discrete-time recurrent neural networks,”IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, Vol. 38, No. 6, pp. 1525-1536, 2008.
(2) Zhigang Zeng, Pei Yu and Xiaoxin Liao, “A new comparison method for stability theory of differential systems with time-varying delays,” International Journal of Bifurcations and Chaos, Vol.18, No. 1, pp. 169-186, 2008.
(3)Zhigang Zeng, De-Shuang Huang and Zengfu Wang, “Pattern memory analysis base on stability theory of cellular neural networks,” Applied Mathematical Modelling, Vol.32, No.1, pp.112-121, 2008.
(4)Zhigang Zeng, Jun Wang, “Analysis and design of associative memories based on recurrent neural networks with linear saturation activation functions and time-varying delays,” Neural Computation, Vol. 19, No. 8, pp. 2149-2182, 2007.
(5)Zhigang Zeng, Jun Wang, “Global exponential stability of recurrent neural networks with time- varying delays in the presence of strong external stimuli,” Neural Networks, Vol. 19, No. 10, pp. 1528-1537, 2006.
(6)Zhigang Zeng, Jun Wang, “Multiperiodicity of discrete-time delayed neural networks evoked by periodic external inputs,” IEEE Transactions on Neural Networks, (Regular Papers), Vol. 17, No.5, pp. 1141-1151,2006.
(7)Zhigang Zeng, Jun Wang, “Improved conditions for global exponential stability of recurrent neural networks with time-varying delays,” IEEE Transactions on Neural Networks, (Regular Papers), Vol. 17, No.3, pp. 623-635,2006.
(8)Zhigang Zeng, Jun Wang, “Complete stability of cellular neural networks with time-varying delays,” IEEE Transactions on Circuits and Systems-I: Regular Papers, Vol. 53, No. 4, pp. 944-955,2006.
(9)Zhigang Zeng, Jun Wang, “Multiperiodicity and exponential attractivity evoked by periodic external inputs in delayed cellular neural networks,” Neural Computation, Vol. 18, No.4, pp.848-870, 2006.
(10)Zhigang Zeng, De-Shuang Huang and Zengfu Wang, “Global stability of a general class of discrete-time recurrent neural networks,” Neural Processing Letters, Vol.22, No.1, pp.33-47, 2005.
(11)Zhigang Zeng, Jun Wang and Xiaoxin Liao, “Global asymptotic stability and global exponential stability of neural networks with unbounded time-varying delays,” IEEE Transactions on Circuits and Systems II, Express Briefs, Vol.52, No.3, pp.168-173, 2005.
(12)Zhigang Zeng, De-Shuang Huang and Zengfu Wang, “Memory pattern analysis of cellular neural network,” Physics Letters A, Vol.342, No.1-2, pp.114–128, 2005.
(13)Zhigang Zeng, Jun Wang and Xiaoxin Liao, “Stability analysis of delayed cellular neural networks described using cloning templates,” IEEE Transactions on Circuits and Systems-I: Regular Papers. Vol.51, No.11, pp.2313-2324, 2004.
(14)Zhigang Zeng, De-Shuang Huang and Zengfu Wang, “Attractability and location of equilibrium point of cellular neural networks with time-varying delays,” International Journal of Neural Systems, Vol. 14, No. 5, pp.337-345, 2004.
(15)Zhigang Zeng, Jun Wang and Xiaoxin Liao, “Global exponential stability of neural networks with time-varying delays,” IEEE Transactions on Circuits and Systems-I: Fundamental Theory and Applications, Vol.50, No.10, pp.1353-1358, 2003.