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Li Wan (CV)

2018年04月02日 15:28 Wan Li 点击:[]


Curriculum Vitae


Personal Profiles:

Full name : Li Wan            

Gender: Male        

Citizenship: P. R. China                

Status :   Professor    

        

Address:

School of Mathematics & Computer Science, Wuhan Textile University,Wuhan, China

Tel: +86-186-7233-7312 (Cell phone)

E-mail: wanlinju@aliyun.com


Experience and Education:

Professor, 2014.12-, School of Mathematics & Computer Science, Wuhan Textile University ,  Wuhan,  P. R. China

Postdoctoral, 2007.5-2009.5, School Mathematics & Statistics, Huazhong University of Science and Technology, Wuhan, P. R. China, Supervisor: Prof. Jinqiao Duan

Ph.D, 2003.9—2006.6, Department of Mathematics, Nanjing University, Nanjing, P. R. China


Research Interests:

Neural Networks, Stochastic Differential Equation, Dynamical System      


Published papers:

[1] Li Wan,Jianhua Sun,Mean square exponential stability of stochastic delayed Hopfield neural networks, Physics Lett A. 343(2005)306-318.

[2] Li Wan,Jianhua Sun, Global asymptotic stability of Cohen–Grossberg neural network with continuously distributed delays, Physics Letters A. 342 (2005) 331-340.

[3] Li Wan,Qinghua Zhou, Global exponential stability of BAM neural networks with time-varying delays and diffusion terms, Physics letters A, 371 (2007) 83–89.

[4] Li Wan,Qinghua Zhou,Convergence analysis of stochastic hybrid bidirectional associative memory neural networks with delays, Physics letters A, 370 (2007) 423–432.

[5] Li Wan,Qinghua Zhou,Mean value exponential stability of stochastic reaction-diffusion generalized Cohen-Grossberg neural networks with time-varying delay, International Journal of Bifurcation and Chaos, 17 (2007) 3219–3227.

[6] Li Wan,Qinghua Zhou,Exponential stability of stochastic reaction–diffusion Cohen–Grossberg neural networks with delays, Applied Mathematics and Computation, 206 (2008) 818–824.

[7] Li Wan,Jinqiao Duan,Exponential stability of non-autonomous stochastic partial differential equations with finite memory, Statistics & Probability Letters, 78 (2008) 490–498.

[8] Li Wan,Qinghua Zhou, Stochastic Lotka_Volterra model with infinite delay,Statistics and Probability Letters, 79 (2009) 698-706.

[9] Li Wan,Jinqiao Duan, Exponential stability of the multi-layer quasi-geostrophic ocean model with delays, Nonlinear Analysis:Theory,Methods & Applications , 71 (2009) 799–811.

[10]Li Wan,Qinghua Zhou, Almost sure exponential stability of stochastic recurrent neural networks with time-varying delays, International Journal of Bifurcation and Chaos,  20(2),  2010, 539–544.

[11]Li Wan,Qinghua Zhou, Asymptotic behaviors of stochastic two-dimensional Navier–Stokes equations with finite memory, Journal of Mathematical Physics 52, 042703 (2011).

[12]Li Wan,Qinghua Zhou,  Attractor and ultimate boundedness for stochastic cellular neural networks with delays, Nonlinear Analysis: Real World Applications, 12 (2011) 2561–2566.

[13]Li Wan,Qinghua Zhou, Pei Wang, Ultimate boundedness of stochastic Hopfield neural networks with time-varying delays,Neurocomputing 74 (2011) 2967–2971.

[14] Li Wan,Qinghua Zhou, Ultimate boundedness of stochastic Hopfield neural networks Source: Journal of Convergence Information Technology, v 6, n 8, p 244-248, August 2011

[15] Li Wan,Qinghua Zhou, Pei Wang, Jizi Li, Ultimate boundedness and an attractor for stochastic Hopfield neural networks with time-varying delays,Nonlinear Analysis: Real World Applications 13 (2012) 953–958.

[16] Li Wan,Qinghua Zhou, Pei Wang,Weak attractor for stochastic Cohen–Grossberg neural networks with delays, Nonlinear Dynamics, 67 (2012) 1753–1759.

[17] Li Wan,Qinghua Zhou,  Attractor and boundedness for stochastic Cohen–Grossberg neural networks with delays, Neurocomputing 79 (2012) 164–167.

[18] Li Wan,Qinghua Zhou, Jizi Li, Dynamical behaviors of stochastic reaction-diffusion Cohen-Grossberg neural networks with delays,Abstract and Applied Analysis Volume 2012, Article ID 369725, 14 pages doi:10.1155/2012/369725

[19] Li Wan,Qinghua Zhou, Zhigang Zhou, Pei Wang, Dynamical Behaviors of the Stochastic Hopfield Neural Networks with Mixed Time Delays,Abstract and Applied Analysis Volume 2013, Article ID 384981, 8 pages http://dx.doi.org/10.1155/2013/384981

[20]Li Wan, Qinghua, Zhou, Asymptotic behaviors of stochastic Cohen-Grossberg neural networks with mixed time-delays, Applied Mathematics and Computation 225 (2013) 541-549.

[21] Qinghua Zhou, Li Wan, Hongbo Fu, Qunjiao Zhang,Pullback attractor for Cohen–Grossberg neural networks with time-varying delays, Neurocomputing, 171 (2016)510-514.

[22] Li Wan, Qinghua Zhou, Jie Liu, Delay-dependent attractor analysis of Hopfield neural networks with time-varying delays, Chaos, Solitons & Fractals, 101 (2017) 68–72.


Funding

1. (NSFC) Attractor and bifurcation for stochastic neural networks with delays.  No. 11271295, 2013.01-2016.12 ¥60,0000

2. (NSFC) Dynamical behaviors for stochastic neural networks with delays.   No. 10801109, 2009.01-2011.12,¥8,0000



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