个人简述:

1. 2015.9，入选西北工业大学“翱翔新星”计划；2. 2014.10, 陕西省优秀博士论文；3. 2012.1, 陕西省科技进步奖二等奖（排名第6）；4. 2011.6, 陕西省高校科技进步一等奖（排名第6）；5. 2010.9, 教育部、国务院学位委员会博士研究生学术新人奖；6. 2014.5, 西北工业大学优秀博士论文；7. 2013.9, 西北工业大学优秀青年教师；8. 2013.1, 西北工业大学三航科技奖之青年学者奖；9. 2012.6, 入选西北工业大学“翱翔之星”。

科研工作:

1.2015/5至今，西北工业大学电子信息学院，副教授；2. 2011/10-2015/4，西北工业大学电子信息学院，讲师。 科研项目：    先后主持国家自然科学基金面上项目和青年项目、 国家863计划课题、陕西省自然科学基金青年人才项目、西北工业大学基础研究基金项目、西北工业大学引进高层次人才项目、横向合作项目等10多项，参与国家自然科学基金重点项目、重点国际地区合作项目和面上项目等10多项，并先后入选西北工业大学“翱翔之星”计划，“翱翔新星”计划。 截止目前，共发表论文40多篇，SCI索引10多篇。期刊代表文章：[1]. Shaohui Mei, Junhui Hou, JieChen, Lap-Pui Chau, Qian Du. Simultaneous Spatial and Spectral Low-Rank Representationof Hyperspectral Images for Classification [J]. IEEE Transactions on Geoscienceand Remote Sensing, 2017, DOI: 10.1109/TGRS.2017.2785359. [2]. Shaohui Mei, Xin Yuan,Jingyu Ji, and et al. Hyperspectral ImageSpatial Super-Resolution via 3D Full Convolutional Neural Network[J]. RemoteSensing, 2017, 9(11):1139. (Code: https://github.com/MeiShaohui/Hyperspectral-Image-Spatial-Super-Resolution-via-3D-Full-Convolutional-Neural-Network.).[3]. Shaohui Mei, Jingyu Ji, Junhui Hou, and et al. Learning Sensor-Specific Spatial-Spectral Features of Hyperspectral Images via Convolutional Neural Networks. IEEE Transaction on Geoscience and Remote Sensing, 2017, DOI: 10..1109/TGRS.2017.2693346. (Code: https://github.com/MeiShaohui/Sensor-Specific-Hyperspectral-Image-Feature-Learning.)[4]. Shaohui Mei, Qianqian Bi, Jingyu Ji, and et al. Hyperspectral Image Classification by Exploring Low-rank Property in both Spectral-Spatial Domain. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10(6):2910-2921. [5]. Shaohui Mei, Qianqian Bi, Jingyu Ji, Junhui Hou, and Qian Du. Spectral Variation Alleviation by Low-Rank Matrix Approximation for Hyperspectral Image Analysis. IEEE Geoscience and Remote Sensing Letters, 2016, 13(6): 796-800.[6]. Shaohui Mei, Qian Du, Mingyi He. Equivalent-sparse Unmixing through Spatial and Spectral Constrained Endmember Selection from An Image-derived Spectral Library.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8(6): 2665-2675.[7]. Shaohui Mei, Genliang Guan, Zhiyong Wang, and ea al. Videosummarization via minimum sparse reconstruction. Pattern Recognition,2015, 48(2): 522-533.[8].Shaohui Mei,Mingyi HE, Zhiyong Wang, David Feng. Unsupervised Spectral Mixture Analysis ofHighly Mixed Data with Hopfield Neural Network.IEEE Journal of Selected Topicsin Applied Earth Observations and Remote Sensing, 2014, 7(6):1922-1935.[9].Shaohui Mei,Mingyi He, Zhiming Shen. Optimizing Hopfield Neural Network for SpectralMixture Unmixing on GPU Platform.IEEEGeoscience and Remote Sensing Letters, 2014，11(4): 818-812.[10].Mohamed Bendoumi, Mingyi He, Shaohui Mei.Hyperspectral Image ResolutionEnhancement Using High Resolution Multispectral Image Based on Spectral Unmixing.IEEETransactions on Geoscience and Remote Sensing, 2014, 52(10):6574-6583.[11].Genliang Guan, Zhiyong Wang, Shaohui Mei, MaxOtt, Mingyi He, Dagan Feng.A Top-down Approach for VideoSummarization. ACM Transactions on Multimedia Computing Communications& Applications, 2014, 11(1): 4.[12].Shaohui Mei, Mingyi HE, Yifan Zhang, Zhiyong Wang, David Feng. ImprovingSpatial-Spectral Endmember Extraction in the Presence of Anomalous GroundObjects.IEEE Transactionon Geoscience and Remote Sensing, 2011, 49(11): 4210-4222.[13]. Shaohui Mei, Mingyi HE, Zhiyong Wang, David Feng.Spatial Purity Based Endmember Extraction for Spectral Mixture Analysis.IEEE Transaction on Geoscienceand Remote Sensing, 2010, 48(9): 3434-3445.[14].Shaohui Mei,Mingyi HE, Zhiyong Wang, David Feng. Mixture Analysis by Multichannel HopfieldNeural Network.IEEEGeoscience and Remote Sensing Letters, 2010, 7(3): 455-459.代表会议论文：[1]. ShaohuiMei, Yanfu Chen, Jingyu Ji, Junhui Hou, Qian Du. Fusing Different Levels ofDeep Features by Deep Stacked Neural Network for Hyperspectral Images[C] IEEEGeoscience and Remote Sensing Symposium, 2017:759-762.[2]. ShaohuiMei, Xin Yuan, Jingyu Ji, Shuai Wan, Junhui Hou, Qian Du. Hyperspectral imagesuper-resolution via convolutional neural network[C]. IEEE International Conferenceon Image Processing, 2017:4297-4301.[3]. Shaohui Mei, Ruoqiao Jiang,Jingyu Ji, Jun Sun, Yang Peng, Yifan Zhang. Invariant feature extraction forimage classification via multi-channel convolutional neural network. IEEEInternational Symposium on Intelligent Signal Processing and CommunicationSystems, 2017.[4]. Shaohui Mei, Jingyu Ji, Qianqian Bi, Junhui Hou, Wei Li, and Qian Du. IntegratingSpectral and Spatial Information into Deep Convolutional Neural Networks forHyperspectral Classification. IEEE International Geoscience and Remote SensingSymposium 2016 (IGARSS 2016).[5]Shaohui Mei, QianqianBi, Jingyu Ji, Junhui Hou, and Qian Du Howto fully explore the low-rank property for data recovery of hyperspectralimages. IEEE International Geoscienceand Remote Sensing Symposium 2016 (IGARSS 2016).[6] Shaohui Mei, Qian Du, Mingyi He, Yihang Wang. Endmember extractionby L2,0 constrained sparse dictionary selection. 7th Workshop on HyperspectralImage and Signal Processing: Evolution in Remote Sensing. 2015.5[7] Shaohui Mei, Qian Du, Mingyi He, Yihang Wang. Spatial Preprocessingfor Spectral Endmember Extraction by Local Linear Embedding. IEEE InternationalGeoscience and Remote Sensing Symposium (IGARSS), 2015.7.[8] Shaohui Mei, Zhiyong Wang, Mingyi He, and Dagan Feng. Resource restrictedon-line Video Summarization with Minimum sparse reconstruction. 31st PictureCoding Symposium, 2015.5.[9].ShaohuiMei, Genliang Guan, ZhiyongWang, and et al. Iterative Keyframe Selection by Orthogonal Subspace Projection.IEEE International Conference on Image Processing 2014 (ICIP 2014).[10]. Shaohui Mei, Genliang Guan,Zhiyong Wang, and et al. L2,0constrained Sparse Dictionary Selection for Video Summarization. 2014 IEEEInternational Conference on Multimedia and Expo.[11].Shaohui Mei, Mingyi He, et al.Neighborhood Preserving Nonnegative Matrix Factorization for Spectral MixtureAnalysis. IEEE International Geoscience and Remote Sensing Symposium (IGARSS),2013.[12].Shaohui Mei, Mingyi HE, et al.Unsupervised Spectral Mixture Analysis with Hopfield Neural Network forHyperspectral Images. International Conference on Image Processing (ICIP),2012.[13].Shaohui Mei, Mingyi He. Minimumendmember-wise distance constrained nonnegative matrix factorization forspectral mixture analysis of hyperspectral images. IEEE internationalGeoscience and Remote Sensing Symposium, 2011.[14].Shaohui Mei, Mingyi HE, Yuchao Dai.Robust Spatial Purity based Endmember Extraction in the Presence of Rare GroundObjects. Asia-Pacific Signal and Information Processing Association(APSIPA)Annual Summitand Conference 2010. Dec. 2010.[15].Shaohui Mei, Mingyi HE, Yuchao Dai.Virtual Dimensionality Estimation by Double Subspace Projection forHyperspectral Images. 2010 Second IITA Conference on Geoscience and RemoteSensing, Aug. 2010.

教育背景:

1. 2005/09 - 2011/10，西北工业大学，信号与信息处理，博士（硕博连读），导师：何明一 教授；2. 2007/11 – 2008/10，悉尼大学，信息学院，联合培养博士，导师：冯大淦 教授/院士；3. 2001/09 - 2005/07，西北工业大学，电子信息工程，学士（本硕连读）。