夏旻教授

博士生导师 硕士生导师

主要任职:江苏省大数据分析技术重点实验室副主任

职称:教授

性别:男

所在单位:自动化学院

学科:计算机科学与技术

办公地点:学科楼3号楼C403

联系方式:xiamin@nuist.edu.cn

个人简介

学习与工作经历:

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

社会兼职:

IEEE会员、中国计算机学会会员、江苏省计算机学会会员、江苏省人工智能学会会员。 目前担任国际期刊International Journal of Applied Nonlinear Science编辑,Complexity特刊的客座主编。

研究领域:

现主要研究方向为人工智能及大数据分析理论,具体有:大规模异质数据的关联性知识挖掘,机器学习理论,多源图像数据分析、卫星遥感图像分类等。

科研成果(论文):

2022年文章


[1] Bingyu Chen, Min Xia (通讯作者), Ming Qian & Junqing Huang. MANet: a multilevel aggregation network for semantic segmentation of high-resolution remote sensing images, International Journal of Remote Sensing, 2022,  DOI: 10.1080/01431161.2022.2073795

[2] Chen Lu, Min Xia (通讯作者), Ming Qian and Bingyu Chen. Dual-Branch Network for Cloud and Cloud Shadow Segmentation. IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-12, 2022,  5410012, doi: 10.1109/TGRS.2022.3175613.

[3] Min Xia (通讯作者), Zhiwei Wang, Ming Lu, Lingling Pan. MFAGCN: A new framework for identifying power grid branch parameters,  Electric Power Systems Research 207 (2022) 107855. https://doi.org/10.1016/j.epsr.2022.107855

[4] Jiahong Gao, Liguo Weng, Min Xia  and Haifeng Lin.  MLNet: multichannel feature fusion lozenge network for land segmentation, Journal of Applied Remote Sensing, 2022, Vol. 16(1): 016513. DOI: 10.1117/1.JRS.16.016513

[5] Kai Hu, Dongsheng Zhang, Min Xia (通讯作者), Ming Qian and Bingyu Chen. LCDNet: Light-Weighted Cloud Detection Network for High-Resolution Remote Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 4809-4823, 2022, doi: 10.1109/JSTARS.2022.3181303.

[6] Zhiwei Wang, Min Xia (通讯作者), Min Lu, Lingling Pan, Jun Liu, Parameter Identification in Power Transmission Systems Based on Graph Convolution Network, IEEE Transactions on Power Delivery, 2022 https://doi.org/10.1109/TPWRD.2021.3124528.

[7] Shoukuan Miao, Min Xia (通讯作者), Ming Qian, Yonghong Zhang, Jia Liu & Haifeng Lin (2022): Cloud/shadow segmentation based on multi-level feature enhanced network for remote sensing imagery, International Journal of Remote Sensing, DOI: 10.1080/01431161.2021.2014077

[8] Chen Lu, Min  Xia (通讯作者), Haifeng Lin, Multi-scale strip pooling feature aggregation network for cloud and cloud shadow segmentation. Neural Computing and Applications (2022). https://doi.org/10.1007/s00521-021-06802-0

[9] Kai Hu, Meng Li, Min Xia (通讯作者), Haifeng Lin. Multi-Scale Feature Aggregation Network for Water Area Segmentation. Remote Sensing. 2022; 14(1):206. https://doi.org/10.3390/rs14010206

[10] Xudong Sun, Min Xia (通讯作者), Tianfang Dai, Controllable Fused Semantic Segmentation with Adaptive Edge Loss for Remote Sensing Parsing. Remote Sensing. 2022; 14(1):207. https://doi.org/10.3390/rs14010207

 

2021年文章:

[1] Min Xia (通讯作者), Yi Qu, Haifeng Lin, PADANet: parallel asymmetric double attention network for clouds and its shadow detection, Journal of Applied Remote Sensing, 15(4), 046512 (2021), doi: 10.1117/1.JRS.15.046512.

[2] Lei Song, Min Xia (通讯作者), Junlan Jin, Ming Qian, Yonghong Zhang, SUACDNet: Attentional change detection network based on siamese U-shaped structure, International Journal of Applied Earth Observation and Geoinformation, Volume 105, 2021, 102597. https://doi.org/10.1016/j.jag.2021.102597.

[3] Liguo Weng, Junqing Huang, Bingyu Chen, Min Xia (通讯作者), and Haifeng Lin, CDFFNet: cross dimensional feature fusion network for urban land use detection, Journal of Applied Remote Sensing 15(3), 036514, 2021. https://doi.org/10.1117/1.JRS.15.036514.

[4] Hu, Kai, Lang Tian, Chenghang Weng, Liguo Weng, Qiang Zang, Min Xia, and Guodong Qin, Data-Driven Control Algorithm for Snake Manipulator, Applied Sciences, 11, no. 17: 8146, 2021. https://doi.org/10.3390/app11178146.

[5] Yi Qu, Min Xia (通讯作者) and Yonghong Zhang, Strip pooling channel spatial attention network for the segmentation of cloud and cloud shadow. Computers and Geosciences, 2021. https://doi.org/10.1016/j.cageo.2021.104940.

[6] Kai Hu, Yaogen Li, Min Xia (通讯作者), Jiasheng Wu, Meixia Lu, Shuai Zhang, and Liguo Weng, Federated Learning: A Distributed Shared Machine Learning Method, Complexity, 8261663, 2021, https://doi.org/10.1155/2021/8261663.

[7] Wanan Liu, Hong Fan, Min Xia, Multi-grained and multi-layered gradient boosting decision tree for credit scoring. Applied Intelligence, 2021. https://doi.org/10.1007/s10489-021-02715-6.

[8] Kai Hu, Jiasheng Wu, Liguo Weng, Yanwen Zhang, Fei Zheng, Zichao Pang, Min Xia, A novel federated learning approach based on the confidence of federated Kalman filters, International Journal of Machine Learning and Cybernetics, 2021, https://doi.org/10.1007/s13042-021-01410-9.

[9] Lexuan Wang, Liguo Weng, Min Xia, Jia Liu, and Haifeng Lin, Multi-Resolution Supervision Network with an Adaptive Weighted Loss for Desert Segmentation, Remote Sensing 13, no. 11: 2054, 2021. https://doi.org/10.3390/rs13112054.

[10] Wanan Liu, Hong Fan, Min Xia, Step-wise multi-grained augmented gradient boosting decision trees for credit scoring, Engineering Applications of Artificial Intelligence, Volume 97, 104036, 2021. https://doi.org/10.1016/j.engappai.2020.104036.

[11]    Junqing Huang, Liguo Weng, Bingyu Chen, Min Xia, DFFAN: Dual Function Feature Aggregation Network for Semantic Segmentation of Land Cover. ISPRS International Journal of Geo-Information, 10(3):125, 2021. https://doi.org/10.3390/ijgi10030125

[12]    Bingyu Chen, Min Xia (通讯作者), Junqing Huang, MFANet: A Multi-Level Feature Aggregation Network for Semantic Segmentation of Land Cover. Remote Sensing, 13:731, 2021. https://doi.org/10.3390/rs13040731

[13]    Min Xia (通讯作者), Tao Wang, Yonghong Zhang, Jia Liu, Yiqing Xu, Cloud/shadow segmentation based on global attention feature fusion residual network for remote sensing imagery, International Journal of Remote Sensing, 42(6):2022-2045, 2021. https://doi.org/10.1080/01431161.2020.1849852

[14]   Min Xia (通讯作者), Yichen Cui, Yonghong Zhang, Yiming Xu, Jia Liu and Yiqing Xu, DAU-Net: A Novel Water Areas Segmentation Structure for Remote Sensing Image, International Journal of Remote Sensing, 42(7):2594-2621, 2021. https://doi.org/10.1080/01431161.2020.1856964

[15]    Liguo Weng, Lexuan Wang, Min Xia (通讯作者), Huixiang Shen, Jia Liu, Yiqing Xu, Desert classification based on a multi-scale residual network with an attention mechanism, Geosciences Journal, 25(3):387-399, 2021. https://doi.org/10.1007/s12303-020-0022-y

[16] Cheng Ding, Liguo Weng, Min Xia, Haifeng Lin, Non-Local Feature Search Network for Building and Road Segmentation of Remote Sensing Image, ISPRS International Journal of Geo-information, 10(4), 245, 2021. https://doi.org/10.3390/ijgi10040245

 

2020年文章:

[1]    Liguo Weng, Ming Qian, Min Xia (通讯作者), Yiqing Xu, Chunzheng Li, Land Use/Land Cover Recognition in Arid Zone Using A Multi-dimensional Multi-grained Residual Forest, Computers and Geosciences, 144:104557, 2020. https://doi.org/10.1016/j.cageo.2020.104557

[2]    Junhao Qian, Min Xia (通讯作者), Yonghong Zhang, Jia Liu and Yiqing Xu, TCDNet: Trilateral Change Detection Network for Google Earth Image, Remote Sensing, 12, 2669, 2020. https://doi.org/10.3390/rs12172669

[3]    Min Xia (通讯作者), Wan’an Liu, Ke Wang, Wenzhu Songa, Chunling Chen and Yaping Li, Non-intrusive load disaggregation based on composite deep long short-term memory network, Expert Systems with Applications, 160:113669, 2020. https://doi.org/10.1016/j.eswa.2020.113669

[4]    Min Xia (通讯作者), Namei Tian, Yonghong Zhang, Yiqing Xu, Xu Zhang, Dilated Multi-scale Deep Forest for Satellite Cloud Image Detection, International Journal of Remote Sensing, 41:20, 7779-7800, 2020. https://doi.org/10.1080/01431161.2020.1763511

[5]    Liguo Weng, Xudong Sun, Min Xia (通讯作者)Yiqing Xu, Jia Liu Portfolio Optimization of Digital Currency: A Deep Reinforcement Learning with Multidimensional Attention Gating MechanismNeurocomputing402, 171-182, 2020. https://doi.org/10.1016/j.neucom.2020.04.004

[6]    Liguo Weng, Yiming Xu, Min Xia (通讯作者), Yonghong Zhang, Jia Liu, Yiqing Xu, Water areas segmentation from remote sensing images using a separable residual Segnet network, ISPRS International Journal of Geo-information, 9, 256, 2020. https://doi.org/10.3390/ijgi9040256

[7]    Min Xia (通讯作者), Yang Li, Yonghong Zhang, Liguo Weng, Jia Liu, Cloud/snow recognition of satellite cloud images based on multi-scale fusion attention network, Journal of Applied Remote Sensing,  14(3), 032609, 2020. https://doi.org/10.1117/1.JRS.14.032609

[8]    Min Xia (通讯作者), Xu Zhang, Wan’an Liu, Liguo Weng,Yiqing Xu, Multi-stage Feature Constraints Learning for Age Estimation, IEEE Transactions on Information Forensics and Security, 15(1):2417-2428, 2020. https://doi.org/10.1109/TIFS.2020.2969552

[9] Min Xia (通讯作者), Wenzhu Song, Xudong Sun, Jia Liu, Tao Ye, Yiqing Xu, Weighted Densely Connected Convolutional Networks for Reinforcement Learning, International Journal of Pattern Recognition and Artificial Intelligence, 34(4):2052001, 2020. https://doi.org/10.1142/S0218001420520011

[10] Min Xia (通讯作者), Jie Wang, Jia Liu, Liguo Weng, Yiqing Xu, Density-based semi-supervised online sequential extreme learning machine, Neural Computing and Applications, 32:7747-7758, 2020. https://doi.org/10.1007/s00521-019-04066-3

[11] Min Xia (通讯作者), Junhao Qian , Xiaodong Zhang , Jia Liu, Yiqing Xu, River Segmentation Based on Separable Attention Residual Network, Journal of Applied Remote Sensing, 14(3), 032602, 2020. https://doi.org/10.1117/1.JRS.14.032602

 

 2020年之前的文章:

[1]    Min Xia (通讯作者), Wan’an Liu, Yiqing Xu, Ke Wang, Xu Zhang, Dilated Residual Attention Network for Load Disaggregation, Neural Computing and Applications, 31(12):8931-8953, 2019. https://doi.org/10.1007/s00521-019-04414-3

[2]    Min Xia (通讯作者), Chong Zhang, Yin Wang, Jia Liu, Chunzheng Li, Memory based decision making: a spiking neural circuit model, Neural Network World, 29(3): 135-149, 2019. https://doi.org/10.14311/NNW.2019.29.010

[3]    Wan’an Liu, Liguo Weng, Min Xia (通讯作者)Yiqing XuKe Wang Zhuhan Qiao Multi-scale Residual Network for Energy DisaggregationInternational Journal of Sensor Networks2019,  30(3):172:183. https://doi.org/10.1504/IJSNET.2019.10021955

[4]    Min Xia (通讯作者), Wan’an Liu, Ke Wang, Xu Zhang, Yiqing Xu, Non-intrusive load disaggregation based on deep dilated residual network, Electric Power Systems Research, 2019, vol.170, 277–285. https://doi.org/10.1016/j.epsr.2019.01.034

[5]    Min Xia (通讯作者), Wan’an Liu, Bicheng Shi, Liguo Weng and Jia Liu, Cloud/snow recognition for multispectral satellite imagery based on a multidimensional deep residual network, International Journal of Remote Sensing, 2019, vol.40, No.1, 156–170. https://doi.org/10.1080/01431161.2018.1508917

[6]    Min Xia (通讯作者), Chong Zhang, Liguo Weng, Jia Liu and Ying Wang, Robot path planning based on multi-objective optimization with local search, Journal of Intelligent and Fuzzy Systems, 2018, vol.35, 1755–1764. https://doi.org/10.3233/JIFS-169711

[7]    Min Xia (通讯作者), Shen Maoyang, Wang Jianfeng, et al. Anti-spurious-state neural network using nonlinear outer product and dynamic synapses. Neural network World, 2016, 26(4):377-392. https://doi.org/10.14311/NNW.2016.26.022

[8]    Min Xia (通讯作者), Lu W, Yang J, et al. 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. https://doi.org/10.1016/j.neucom.2015.02.022

[9]    Qian J, Xia M, Yue X. Parallel knowledge acquisition algorithms for big data using MapReduce. International Journal of Machine Learning & Cybernetics, 2015, 1(2):1-15. https://doi.org/10.1007/s13042-016-0624-x

[10] 夏旻(通讯作者),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,2018, 30(5):1623-1630. https://doi.org/CNKI:SUN:XTFZ.0.2018-05-001

[11] Hu K, Song A, Xia M, et al. An Image Filter Based on Shearlet Transformation and Particle Swarm Optimization Algorithm. Mathematical Problems in Engineering, 2015, (2015-10-11), 2015, 2015(4):1-9. https://doi.org/10.1155/2015/414561

[12] Weng L, Min Xia, Wang W, et al. Crew exploration vehicle (CEV) attitude control using a neural–immunology/memory network. International Journal of Systems Science, 2015, 46(1):152-158. https://doi.org/10.1080/00207721.2013.775389

[13] Min Xia, (通讯作者), Weng L G, Wang Z J, et al. Sequence memory based on an oscillatory neural network. Science China Information Sciences, 2014, 57(7):72203-072203. https://doi.org/10.1007/s11432-013-4998-z

[14] Weng L, Liu Q, Xia M, et al. Immune network-based swarm intelligence and its application to unmanned aerial vehicle (UAV) swarm coordination. Neurocomputing, 2014, 125(125):134-141. https://doi.org/10.1016/j.neucom.2012.06.053

[15] Min Xia, Wong W K. A seasonal discrete grey forecasting model for fashion retailing. Knowledge-Based Systems, 2014, 57(2):119-126. https://doi.org/10.1016/j.knosys.2013.12.014

[16] Min Xia(通讯作者), Liguo Weng, Zhijie Wang, Sequence Memory based on Coherent Spin-interaction Neural Networks, Neural Computation, 2014,26(12):2944-61. https://doi.org/10.1162/NECO_a_00663

[17] Weng L, Min Xia, Hu K, et al. Micro Aerial Vehicle (MAV) Flapping Motion Control Using an Immune Network with Different Immune Factors. International Journal of Advanced Robotic Systems, 2013, 10(13):1. http://dx.doi.org/10.5772/56733

[18] Wang W, Ma H, Min Xia, et al. Attitude and Altitude Controller Design for Quad-Rotor Type MAVs. Mathematical Problems in Engineering, 2013, (2013-5-9), 2013, 2013(1-2):707-724. https://doi.org/10.1155/2013/587098

[19] Weng L, Min Xia, Hu K, et al. A Memory/Immunology-Based Control Approach with Applications to Multiple Spacecraft Formation Flying. Mathematical Problems in Engineering, 2013, (2013-5-2), 2013, 2013(3):707-724. https://doi.org/10.1155/2013/456410

[20] Kai H, Aiguo S, Mia Xia, et al. An Adaptive Filtering Algorithm Based on Genetic Algorithm-Backpropagation Network. Mathematical Problems in Engineering, 2013, (2013-4-16), 2013, 2013(4):289-307. https://doi.org/10.1155/2013/573941

[21] Min Xia (通讯作者), Zhang Y, Weng L, et al. Fashion retailing forecasting based on extreme learning machine with adaptive metrics of inputs. Knowledge-Based Systems, 2012, 36(6):253-259. https://doi.org/10.1016/j.knosys.2012.07.002

[22] Weng L, Min Xia, Liu Q, et al. An Immunology-inspired Fault Detection and Identification System. International Journal of Advanced Robotic Systems, 2012, 9(5):1. http://dx.doi.org/10.5772/51010

[23] 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. 2011:2134-2137. http://www.cnki.com.cn/Article/CJFDTotal-XTFZ201110023.htm

[24] Min Xia, Wang Z, Fang J. Temporal association based on dynamic depression synapses and chaotic neurons. Neurocomputing, 2011, 74(17):3242-3247. https://doi.org/10.1016/j.neucom.2011.05.009

[25] Min Xia, Tang Y, Pan F. Efficient multi-sequence memory with controllable steady-state period and high sequence storage capacity. Neural Computing & Applications, 2011, 20(1):17-24. https://doi.org/10.1007/s00521-010-0453-x

[26] Wong W K, Min Xia Chu W C.  Adaptive neural network model for time-series forecasting. European Journal of Operational Research, 2010, 207(2):807-816. https://doi.org/10.1016/j.ejor.2010.05.022

[27] Tang Y, Fang J A, Min Xia, et al. Synchronization of Takagi–Sugeno fuzzy stochastic discrete-time complex networks with mixed time-varying delays. Applied Mathematical Modelling, 2010, 34(4):843-855. https://doi.org/10.1016/j.apm.2009.07.015

[28] Min Xia, Fang J, Tang Y, et al. Dynamic depression control of chaotic neural networks for associative memory. Neurocomputing, 2010, 73(4-6):776-783. https://doi.org/10.1016/j.neucom.2009.10.015

[29] Min Xia, Fang J, Pan F, et al. Robust sequence memory in sparsely-connected networks with controllable steady-state period. Neurocomputing, 2009, 72(13–15):3123-3130.  https://doi.org/10.1016/j.neucom.2009.03.004 

科研成果(发明专利):

一种基于多层无监督稀疏学习网络的云图云量计算方法,授权号:ZL201611107944.4

一种基于记忆免疫学的多个飞行器飞行控制方法,授权号:ZL201810119423.3

一种基于卷积神经网络的卫星云量计算方法,授权号:ZL201410798632.7

主持的主要项目:

国家自然科学基金面上项目(42075130),多源数据协同的高寒地区高分辨率积雪参数估计研究——以青藏高原为例,58万,2021-2024

国家自然科学基金青年项目(61105115),基于突触可塑性的情景记忆机理研究,23万,结题

江苏省自然科学基金面上项目(BK20161533),深度视觉信息处理的神经动力学机理研究,10万,结题

企业合作项目(国家电网科技计划项目),面向典型场景的电网调度人工智能应用验证平台构建技术研究,75万,在研

企业合作项目(国家电网科技计划项目),计及分布式资源的母线节点聚合建模与短期负荷预测技术研究,50万,在研

企业合作项目(国家电网科技计划项目)面向千万级市场主体的电力交易平台高并发访问及海量数据高性能处理关键技术研究,45万,在研

企业合作项目(国家电网科技计划项目),基于数据和模型双驱动的电网支路参数辨识技术研究,58万,结题

企业合作项目(国家电网科技计划项目),电力通信网发展需求标准化预测与规划应用,78万,结题

企业合作项目(国家电网科技计划项目),大规模多样化需求侧资源的动态需求响应控制基础理论,40万,结题

企业合作项目(国家电网科技计划项目,电力通信网可靠性分析及带宽优化研究,39万,结题

企业合作项目(郑州软通合力计算机技术有限公司),非侵入式负荷辨识技术开发,25万,结题

荣誉:

2014年获得江苏省“六大人才高峰”高层次人才资助



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