Personal Infos

Name :
  Prof .Qu Hong                                                                                                                                 
Chinese Name :   屈 鸿
Birthday :   1977.4
Lab         :   Computational Intelligence Laboratory
Address : School of Computer Science and Engineering
University of Electronic Science and Technology of China
Email : hongqu@uestc.edu.cn

 

Educations

1. 2006, PH.D., Computer science from University of Electronic Science and Technology of China.
2. 2003, M.S., Computer science from University of Electronic Science and Technology of China.
3. 2000, B.S., Computer science from University of Electronic Science and Technology of China.

Research Fields

1. Neural Networks

2.Computational Intelligence

Journal Papers

（1） Wei Suo and Hong Qu, Automatic Image Segmentation Based on PCNN with Adaptive Threshold Time Constant, Neurocomputing, vol. 74, no. 9, pp. 1485-1491, 2011.
（2） Hong Qu,  S.X. Yang, Allan R. Willms and Zhang Yi, Real-Time Robot Path Planning Based on a Modified Pulse-Coupled Neural Network Model, IEEE Transcations on Neural Networks: Regular Papers, vol. 20, no. 11, pp. 1724-1739, 2009.
（3） Hong Qu, Zhang Yi and Xiaobin Wang,  A Winner-Take-All Networks of N Linear Threshold Neurons without Self-Excitatory Connections, Neural Processing Letters，vol. 29, no. 3, pp. 143-154, 2009.
（4）Xiaobin Wang, Hong Qu, and Zhang Yi, A modified pulse coupled neural network for Shortest Path Problem. Neurocomputing, vol. 72, no. 13-15. pp. 3028-3033, 2009.
（5） Hong Qu, Zhang Yi and Xiaobin Wang, Switching Analysis of Neural Networks with Nonsaturating Linear Threshold Transfer Functions, Neurocomputing, vol. 72,  pp. 413-419, 2008.
（6）Hong Qu, Zhang Yi and HuaJin Tang, A Columnar Competitive Model for Solving Multi-Traveling Salesman Problem, Chaos, Solitons and Fractals,  vol. 31, pp. 1009-1029, 2007.
（7） Hong Qu, and Zhang Yi, A new algorithm for finding the shortest paths using PCNNs. Chaos, Solitons and Fractals, vol. 33, no. 4, pp. 1220-1229,  2007. 
（8） Hong Qu, Zhang Yi and HuaJin Tang, Improving Local Minima of Columnar Competitive Model for TSPs, IEEE Transactions on Circuits and Systems, Part I: Regular Papers, vol. 53, no.6, pp. 1353-1362, 2006.

Conference Papers

（1）Fang Xu, Lei Zhang and Hong Qu, Convergence analysis of background neural networks with two sub-networks. IEEE Conference on Cybernetics and Intelligent Systems, pp.440-444, 2008.
（2）Haixian Zhang, Stones Lei Zhang, Jiali Yu, and Hong Qu, Continuous attractors of a class of recurrent neural networks without lateral inhibition. IEEE Conference on Cybernetics and Intelligent Systems, pp.7-11, 2008.
（3）Manli Li, Jiali Yu, Stones Lei Zhang, and Hong Qu, Solving TSP using Lotka-Volterra neural networks without self-excitatory, IEEE Conference on Cybernetics and Intelligent Systems, pp.786-790, 2008.
（4）Hong Qu, Zhang Yi and XiaoLin Xiang, Theoretical Analysis and Parameter Setting of Hopfield Neural Networks, Lecture Notes in Computer Science, Vol.3496,  pp.739-745, 2005.
（5）Hong Qu and Zhang Yi, Convergence and Periodicity of Solutions for a Class of Discrete-Time Recurrent Neural Network with Two Neurons. Lecture Notes in Computer Science, vol. 3971, pp.291-296, 2006.
（6）Hong Qu and Zhang Yi, Global Attractivity of Discrete-Time Recurrent Neural Networks With Un-saturating Piecewise Linear Activation Functions, The Second IEEE International Conference on Neural Networks and Brain, 2005