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Min Xia

2018-08-23

Name: Min Xia
Title: Dr. and Associate Professor
Research Interests: Main research fields are in the area of the computational neuroscience, artificial intelligence, machine learning, and statistical/computational approaches
Telephone: +86 25 5873 1276
Fax: +86 25 5873 1276
Email: xiamin_wh@hotmail.com;xiamin@nuist.edu.cn

Journal paper:
[1]Liguo Weng, Qingshan Liua, Min Xia, Y.D. Song  Immune network-based swarm intelligence and its application to unmanned aerial vehicle (UAV) swarm coordination，Neurocomputing, 2013, In press.
[2]Liguo Weng, Min Xia, Wei Wang, Qingshan Liu, Crew exploration vehicle (CEV) attitude control using a neural–immunology/memory network, International Journal of Systems Science, [3]DOI:10.1080/00207721.2013.775389, 2013,  In press.
Liguo Weng , Min Xia, Qingshan Liu and Wei Wang, An Immunology-inspired Fault Detection and Identification System, International Journal of Advanced Robotic Systems, 2012, Vol. 9, 64:2012
[4] LiguoWeng, Min Xia, Kai Hu,1and Zhuhan Qiao, A Memory/Immunology-Based Control Approach with Applications to Multiple Spacecraft Formation Flying, Mathematical Problems in Engineering, Volume 2013, Article ID 456410, 2013. doi:10.1155/2013/456410.
[5] Kai Hu,  Aiguo Song, Min Xia, XiaoLing Ye, and YanYan Dou,  An Adaptive Filtering Algorithm Based on Genetic Algorithm-Backpropagation Network, Mathematical Problems in Engineering, Volume 2013, Article ID 573941, 2013. doi:10.1155/2013/573941.
[6] WeiWang, Hao Ma,Min Xia, LiguoWeng, and Xuefei Ye, Attitude and Altitude Controller Design for Quad-Rotor Type MAVs, Mathematical Problems in Engineering , Volume 2013, Article ID 587098 ,2013. doi:10.1155/2013/587098.
[7] Min Xia, Yingchao Zhang, Liguo Weng, Xiaoling Ye, Fashion retailing forecasting based on extreme learning machine with adaptive metrics of inputs,  Knowledge-Based Systems 36 (2012) 253–259.
[8] Min Xia, Zhijie Wang, Jian’an Fang, Temporal association based on dynamic depression synapses and chaotic neurons, Neurocomputing, 74 (2011) 3242–3247. 
[9] Min Xia, Liguo Weng, Xiaoling Ye, Sequence Memory based on Ordered Pattern Interrelation, Advanced science letters, Volume 5, Number 2, February 2012 , pp. 547-551(5).
[10] Min Xia, Jian’an Fang, Yang Tang, Efficient multi-sequence memory with controllable steady-state period and high sequence storage capacity, Neural Computing and Applications， vol20，p17-24,2011.           
[11] Min Xia, Jian’an Fang, Yang Tang, Zhijie Wang, Dynamic depression control of chaotic neural networks for associative memory, Neurocomputing, 73 (2010) 776–783 .  
[12] W.K.Wong, Min Xia, and W.C. Chu, Adaptive neural network model for time-series forecasting, European Journal of Operational research 207 (2010) 807–816.     
[13] Min Xia, Jian’an Fang, Feng Pan, En’jian Bai ， Robust sequence memory in sparsely-connected networks with controllable steady-state period, Neurocomputing 72 (2009) 3123–3130.       
[14] Yang Tang, Jian-an Fang, Min Xia, Xiaojing Gu, Synchronization of Takagi–Sugeno fuzzy stochastic discrete-time complex networks with mixed time-varying delays, Applied Mathematical Modelling, vol.34, issue 4, pp843-855,2010.
[15] Chen Yan, Min Xia, Zhijie Wang, Associative memory with anti-spurious-state based on the nonlinear function constitution, Journal of system simulation, 2009, Vol.21, No.4,pp1040-1046.
[16] Yang Tang, Jian-an Fang, Min Xia, Dongmei Yu, delay-distribution dependent stability of stochastic discrete-time neural networks with randomly mixed time-varying delays, Neurocomputing 72 (2009) 3830–3838.
[17]Yang Tang, Runhe Qiu, Jian-an Fang, Qingying Miao, Min Xia, Adaptive lag synchronization in unknown stochastic chaotic neural networks with discrete and distributed time-varying delays, Physics Letters A 372 (2008) 4425-4433.
[18] Min Xia，Liguo Weng，Yingchao Zhang, Episodic memory with controllable steady-state period using coherent spin-interaction neural networks, Journal of system simulation，vol.23, No.10,2011.
[19] Liguo Weng, Min Xia, Kai Zhang，Zhuhan Qiao，Immunology Inspired Fault Detection and Identification Systems, Journal of system simulation，vol.23, No.10,2011.
Conference paper:
[1] Min Xia, Yang Tang, Jian’an Fang, Performance of Associative Memory Using Partially-connected Networks, Proceedings of 2008 3rd International Conference on Intelligent System and Knowledge Engineering, Vol.1: 867-872 2008.
[2] Min Xia, Jian’an Fang, Yang Tang, Multi-sequence Memory with Controllable Steady-state Period, Proceedings of 2009 International Conference on Intelligent Computation Technology and Automation, 2009,vol.1, pp814-819.
[3] Min Xia, ZhijieWang, Jian’an Fang, Sequence Memory with Dynamic Synapses and Chaotic Neurons. Advances in Cognitive Neurodynamics, Springer, 2008, pp219-223.
[4] Jian’an Fang, Min Xia, Yang Tang, Multi-sequence memory with dynamic synapses and controllable steady-state period, Proceedings of 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems.
[5] Yang Tang, Jian’an Fang, Min Xia, Synchronization of Takagi-Sugeno fuzzy stochastic complex networks with mixed delays，Proceedings of 2009 International Conference on Intelligent Computation Technology and Automation, 2009, vol.2, pp 810-13.
[6] Feng Pan, Min Xia, En'jian Bai, A new hybrid model for time-series prediction, Proceedings of 2009 8th IEEE International Conference on Cognitive Informatics, pp281-6.
[7] Min Xia, Yingchao Zhang1b, Xiaoling Ye，Efficient associative memory based on a nonlinear function constitution and dynamic synapses, Advanced Materials Research Vols. 225-226 (2011) pp 479-482.
[8] Min Xia, Liguo Weng, Xiaoling Ye, A neural network based on ordered pattern interrelation for episodic memory, Processing of The 3rd International Conference on Information Science and Engineering, 2011.
[9] Liguo Weng, Wei Wang, Min Xia and David Y. Song, Smooth Variable Structure Control for the Flapping Motion of Micro Aerial Vehicles (MAVs), Processing of The 7rd International conference on intelligenct Unmanned Systems, Japan, 2011.

Projects:
1. National Natural Science Foundation of PR China (61105115)
2. National Natural Science Foundation of PR China (60874113)
3. The Key Creative Project of Shanghai Education Community(09ZZ66)
4. Shanghai Natural Science Foundation (08ZR1400400)
5. The Ph.D. Programs Foundation of Ministry of Education of China (200820550007).