夏旻

 

基本信息

性  别:
出生年月:

1983.10.20

民  族:

汉族

电  话:

15161488227

办公时间:

E - mail:

xiamin@nuist.edu.cn

专  业: 控制理论工程
职  务:
   
主页网址:

办公地点:

学科楼2号楼N210

工作单位:

信息与控制学院

讲授课程:

人工智能、机器学习

招生方向:

机器学习

学  院: 信息与控制学院
职  称: 副教授/副高
   
教育与工作经历

2005年7月获得山东大学信息与计算科学专业学士学位,同年被免试推荐为东华大学硕博连读研究生
2009年11月毕业于东华大学控制理论与控制工程专业,获工学博士学位
2008年8月至2010年4月在香港理工大学作为Research Associate从事复杂系统建模方面的研究工作
2010年4月至今在南京信息工程大学任教
2012年3月至2012年8月在中国气象科学研究院做访问学者

学术与社会兼职

 

研究领域与方向

大数据分析、机器学习、认知系统建模

主要项目、论文、专著和专利

   

Journal paper:

[1] Li Di, Zheng Zheng, Song Wang, Ruidong Zhang, Min Xia, Kai Hu , Electric Power Communication Bandwidth Prediction Based on Adaptive Extreme Learning Machine, International Journal of Embedded SystemsEI期刊已录用)

[2] 夏旻,申茂阳,王舰锋,基于卷积神经网络的卫星云图云量计算,系统仿真学报,已录用.(中文核心)

[3] Di L, Zheng Z, Xia M, et al. Robot Path Planning Based on an Improved Multi-Objective PSO Method[C]// International Conference on Computer Engineering, Information Science & Application Technology. 2016. EI期刊)

[4] L DiZ ZhengM Xia , Electric power communication network evaluation based on clustering by fast search and finding of density peaks, International Journal of Simulation Systems, Science & Technology, 2016.EI期刊)

[5] L DiZ ZhengM XiaA novel application of the wild geese multi-objective optimization method to routing recovery in electric power communication networks, The Open Automation and Control Systems Journal,2016. EI期刊)

[6] 狄立, 郑征, 夏旻,. 基于快速密度聚类的电力通信网节点重要性评估[J]. 电力系统保护与控制, 2016, 44(13):90-95. (中文核心)

[7] 翁理国, 王骥, 夏旻,. 自适应种群更新策略的多目标粒子群算法, 2016108[J]. 计算机工程与应用, 2016. (中文核心)
[8]Min Xia, Shen M, Wang J, et al. Anti-spurious-state neural network using nonlinear outer product and dynamic synapses[J]. Neural network World, 2016, 26(4):377-392.

[9]Min Xia, Weitao Lu, Jun Yang; Biao Zhu; Ying Ma, Wen Yao, Zichen Zheng, A hybrid method based on extreme learning machine and k nearest neighbor for cloud classification of ground based visible cloud image,  neurocomputing 2015, 160(C):238-249.

[10] Min Xia, Liguo Weng, Zhijie Wang, Sequence Memory based on Coherent Spin-interaction Neural Networks, Neural Computation,2014 Dec;26(12):2944-61.

[11] Min Xia, Liguo Weng, Zhijie Wang, Jian’an Fang, Sequence memory based on an oscillatory neural network, Science China, Vol. 57 072203:1–072203:12,2014.

[12] Min Xia, W.K. Wong, A seasonal discrete grey forecasting model for fashion retailing,Knowledge-Based Systems, 57, pp. 119-126, 2014.

[13]Liguo Weng, Min Xia Kai Hu and Zhuhan Qiao .A Memory/Immunology – based Control Approach with Applications to Multiple Spacecraft Formation Flying.International Journal of Advanced Robotic Systems.2012.

[14]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.2013.

[15]Liguo Weng, Min Xia. Micro Aerial Vehicle (MAV) Flapping Motion Control Using an Immune Network with Different Immune Factors, Journal of Advanced Robotic Systems.2013.

[16]Liguo Weng, Qingshan Liu, Min Xia, Y.D. Song.Immune Network-based Swarm Intelligence and its Application to Unmanned Aerial Vehicle (UAV) Swarm Coordination.Neurocomputing.2012.

[17] 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, 2013. doi:10.1155/2013/456410

[18] 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, doi:10.1155/2013/573941, 2013.

[19] Wei Wang, Hao Ma,Min Xia, LiguoWeng, and Xuefei Ye, Attitude and Altitude Controller Design for Quad-Rotor Type MAVs, Mathematical Problems in Engineering,2013. doi:10.1155/2013/587098.

[20] 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.

[21] Min Xia, Zhijie Wang, Jian’an Fang, Temporal association based on dynamic depression synapses and chaotic neurons, Neurocomputing, 74 (2011) 3242–3247. 

[22] 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).

[23] 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 vol20p17-24,2011.         

[24] Min Xia, Jian’an Fang, Yang Tang, Zhijie Wang, Dynamic depression control of chaotic neural networks for associative memory, Neurocomputing, 73 (2010) 776–783 . 

[25] 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.   

[26] 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.  

[27] 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.

[28] 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.

[29] 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.

[30]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.

[31] 李林,刘青山,夏旻, 基于极限学习机的地基可见光云图的云分类, 大气科学学报,2014.

[32] 夏旻,翁理国,张颖超, 基于神经元协同激励的稳定时间可控情景记忆, 系统仿真学报,vol.23, No.10,2011.

[33]翁理国,夏旻, 张凯,乔著汉,基于免疫学的错误识别分类系统, 系统仿真学报,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 delaysProceedings 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 YeEfficient 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.

 

主持和参加的主要项目主持和参加的主要项目

国家自然科学基金项目,基于突触可塑性的情景记忆机理研究(61105115 主持

江苏省自然科学基金,深度视觉信息处理的神经动力学机理研究(BK20161533)主持

获奖情况

2014年获得江苏省“六大人才高峰”高层次人才资助

其它学术成果

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