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CS:Ke Qin

published: 2015-12-09 21:09:40       hits: 

name : QIN, KE Sex: Male phone: 138-80363890
email: qinke@uestc.edu.cn office-address: B1-308, Main building
PH.D  Supervisor: NO Master Supervisor: YES
major: Computer Applied Technology        
research interst: Computation Theory, Machine Learning and Pattern Recognition, Cloud computing and Big data
Biography:  
Education experience: 2003.09-2006.06 University of Electronic Science and Technology of China. Master Degree. 2006.09-2010.06. University of Electronic Science and Technology of China. PhD.
Selected Publications: [1] Ke Qin, B. J. Oommen. Adachi-like Chaotic Neural Networks Requiring Linear-time Computations by Enforcing a Tree-shaped Topology. IEEE Transactions on Neural Networks, 2009, 20(11):1797-1809.

[2] Ke Qin, B. J. Oommen. The Entire Range of chaotic Pattern Recognition Properties Possessed by the Adachi Neural Network. Intelligent Decision Technologies, 2012, 01(06):27-41.

[3] Ke Qin, B. J. Oommen. Ideal Chaotic Pattern Recognition Using the Modified Adachi Neural Network. Chaotic Modeling and Simulation, 2012, 4:701-710.

[4] Ke Qin, B. J. Oommen. Ideal Chaotic Pattern Recognition is Achievable: The Ideal-M-AdNN - Its Design and Properties. Transactions on Computational Intelligence XI, 2013, 8065:22-51.

[5] Ke Qin, B. J. Oommen. Chaotic Neural Networks with a Random Topology Can Achieve Pattern Recognition. Chaotic Modeling and Simulation, 2013, 4:583-590.

[6] Ke Qin, B. J. Oommen. Logistic Neural Networks: Their Chaotic and Pattern Recognition Properties. Neurocomputing, 2014, 125(2):184-194.

[7] Ke Qin, B. J. Oommen. Chaotic Neural Networks with a ``Small-World'' Topology Can Achieve Pattern Recognition. Chaotic Modeling and Simulation, 2014, 4:379-386.

[8] Ke Qin, B. J. Oommen. On the Cryptanalysis of Two Cryptographic Algorithms That Utilize Chaotic Neural Networks. Mathematical Problems in Engineering, 2015, http://dx.doi.org/10.1155/2015/468567.

[9] Ke. Qin. On Chaotic Neural Network Design — A New Framework. Neural Processing Letters, 1-19, 2015. DOI: 10.1007/s11063-016-9525-y.

[10] Guangchun Luo, Jinsheng Ren, Ke Qin. Dynamical Associative Memory: The Properties of the New Weighted Chaotic Adachi Neural Network by Enforcing the INSTAR Learning Rule. IEICE Transactions on Information and Systems, 2012, E95-D(8):2158-2162. (Corresponding Author).

[11] Jinsheng Ren, Ke Qin, Guangchun Luo, Ying Ma. On Software Defect Prediction Using Machine Learning. Journal of Applied Mathematics, 2014, http://dx.doi.org/10.1155/2014/785435. (Corresponding Author).

Refereed Conference Papers

[12] Ke Qin, Mingtian Zhou, Naiqi Liu. A Novel Group Key Management Based on Jacobian Elliptic Chebyshev Rational Map. In: Proceedings of NPC 2007, the International Conference on Network and Parallel Computing, Dalian, China, 2007, Lecture Notes in Computer Science, 4672: 287-295.

[13] Ke Qin and B. J. Oommen. Chaotic Pattern Recognition: The Spectrum of Properties of the Adachi Neural Network. In: Proceedings of SSSPR 2008, the 2008 International Conference on Structural and Syntactic Pattern Recognition and Statistical Techniques in Pattern Recognition, Florida, USA, 2008. Lecture Notes in Computer Science, 5342:540-550.

[14] Ke Qin, B. J. Oommen. An Enhanced Tree-shaped Adachi-like Chaotic Neural Network Requiring Linear-time Computations. In: Proceedings of The 2th Chaotic Modeling and Simulation International Conference. Chania, Greece, 2009. 284-293.

[15] Ke Qin, Mingtian Zhou, Yong Feng. A Novel Multicast Key Exchange Algorithm Based on Extended Chebyshev Map. In: Proceedings of CISIS2010, the 2010 International Conference on Complex, Intelligent and Software Intensive Systems, Krakow, Poland. 2010, 643-648.

[16] Ke Qin, B. J. Oommen. Chaotic and Pattern Recognition Properties of a Network of Logistic Neurons. In: Proceedings of ICCET2010, the 2010 International Conference on Computer Engineering and Technology, Chengdu, China. 2010, v3:82-86.

[17] Ke Qin, B. J. Oommen. Networking Logistic Neurons can Yield Chaotic and Pattern Recognition Properties. In: Proceedings of CIMSA2011, the IEEE International Conference on Computational Intelligence for Measure Systems and Applications. Ottawa, Canada, 2011. 134-139

[18] Ke Qin, B. J. Oommen. Ideal Chaotic Pattern Recognition Using the Modified Adachi Neural Network. In: Proceedings of The 5th Chaotic Modeling and Simulation International Conference. Athens, Greece, 2012. 499-508.

[19] Ke Qin, B. J. Oommen. Chaotic Pattern Recognition Using the Adachi Neural Network Modified in a Random Manner. In: Proceedings of The 6th Chaotic Modeling and Simulation International Conference. Istanbul, Turkey, 2013. 453-460.

[20] Ke Qin, B. J. Oommen. Chaotic Pattern Recognition Using the Adachi Neural Network Modified in a Small-World Way. In: Proceedings of The 7th Chaotic Modeling and Simulation International Conference. Lisbon, Portugal, 2014. 391-398.

[21] Ke Qin, B. J. Oommen. Cryptanalysis of a Cryptographic Algorithm that Utilizes Chaotic Neural Networks. In: Proceedings of the 29th International Symposium on Computer and Information Sciences, Krakow, Poland, 2014. 167-174.
Books: