教育背景
工作经历
项目课题经历
承担的项目国家自然科学基金面上项目,江苏省高校重大项目申报书等
论文、成果、著作等
论文1.Y. Sun, Y. Yang, Q. Liu, and et. al, “Learning non-local regularizedcompressed sensing network with half-quadratic splitting,” IEEE Transactionson Multimedia, online, 2020.2.Y. Sun, J. Chen, Q. Liu, and G. Liu, “Learning image compressedsensing with sub-pixel convolutional generative adversarial network,”Pattern Recognition, vol. 98, p. 107051, 2020.3.Yubao Sun, Sujuan Wang, Qingshan Liu *, Renlong Hang and GuangcanLiu,Hypergraph Embedding for Spatial-Spectral Joint Feature Extraction inHyperspectral Images, Remote Sensing, 2017, 9, 506.4.Sujuan Wang, YubaoSun, Renlong Hang, Qingshan Liu∗, Xiaotong Yuan andGuangcan Liu,Spatial-spectral LocalityConstrained Elastic Net Hypergraph for Hyperspectral Image Clustering, InternationalJournal of Remote Sensing,2017,38(21): 7374–7388.5.Qingshan Liu, YubaoSun, Renlong Hang , Huihui Song, Spatial–SpectralLocality-Constrained Low-Rank Representation with Semi-Supervised HypergraphLearning for Hyperspectral Image Classification ,IEEE Journal of Selected Topicsin Applied Earth Observations and Remote Sensing, 2017,10(9) :4171 - 4182.6.孙玉宝,杭仁龙, 刘青山,朱付平,裴虎诚,Graph-Regularized Low Rank Representation for AerosolOptical Depth Retrieval, International Journal of Remote Sensing,37(24):5749 –5762, 2016.7.刘青山,孙玉宝,王灿田,刘同亮,陶大成,Elastic Net HypergraphLearning for Image Clustering and Semi-supervised Classification, IEEETransactions On Image Processing, 26(1):452 – 463,2017.8.孙玉宝、刘青山、唐金辉、陶大成 ,Learning Discriminative Dictionary for Group SparseRepresentation,IEEE Transactions On ImageProcessing, 23(9):3816-3827, 2014.9.周伟、孙玉宝、刘青山、吴敏 ,运动目标检测的L0群稀疏RPCA模型及其算法 ,电子学报,44(3): 627-632,2016.10.杭仁龙、刘青山、宋慧慧、孙玉宝 ,Matrix-Based Discriminant Subspace Ensemble forHyperspectral Image Spatial–Spectral Feature Fusion ,IEEE Transactions onGeoscience and Remote Sensing, 54(2):783 - 794, 2016.11.杭仁龙, 刘青山, 宋慧慧, 孙玉宝、朱付平、裴虎诚, Graph Regularized Nonlinear Ridge Regression forRemote Sensing Data Analysis,IEEE Journal Of Selected Topics In Applied EarthObservations And Remote Sensing, 10(1):277 – 285, 2017.12.孙玉宝、厉智、吴敏 ,A Rank-Constrained Matrix Representation forHypergraph-Based Subspace Clustering ,Mathematical Problems inEngineering, 572753:1-12, 2015.13.邓健康、孙玉宝、刘青山、卢汉清 ,Low rank driven robust facial landmark regression ,Neurocomputing,151(1):196-206,2015.14.厉智,孙玉宝,王枫,刘青山,基于深度卷积神经网络的服装图像分类检索算法,计算机工程,42(11):309-315,2016.15.邓健康、杨静、孙玉宝、刘青山 ,基于稀疏级联回归的快速人脸配准方法及其在移动设备上的应用,计算机科学,42(10):301-305, 2015.16.孙玉宝、吴泽彬、吴敏、刘青山 ,联合低秩与稀疏先验的高光谱图像压缩感知重建 ,电子学报, 42(11):2219-2224, 2014.17.孙玉宝、李欢、吴敏、吴泽彬、刘青山 ,基于图稀疏正则化多测量向量模型的高光谱压缩感知重建,电子与信息学报,36(12):2942-2948, 2014.18.仓园园,孙玉宝,刘青山,基于分层鲁棒主成分分析的运动目标检测,计算机辅助设计与图形学学报, 26(4):537-544,2014.19.王灿田,孙玉宝,刘青山,基于稀疏重构的超图谱聚类方法,计算机科学, 2014, 41(2)
专利、著作版权等
专利1. 孙玉宝,刘青山,周伟,朱松,孙茂庭等,基于多成分鲁棒PCA的运动目标检测方法,2017.10.27,中国,ZL 201510275727.5.2. 孙玉宝,周伟,刘青山,杭仁龙,邓健康,一种基于群稀疏鲁棒PCA的运动目标检测方法,2017.05.17,中国,ZL201410659365.5.3. 吴泽彬,孙玉宝,韦志辉,徐洋,孙乐,刘建军,基于空谱联合稀疏先验的卫星高光谱压缩感知重建方法,2016.09.21,中国,ZL.201310652415.2.4. 刘青山,王灿田,孙玉宝,邓建康,一种基于超图谱分析的图像分割方法,2016.01.20,中国,ZL201310464992.9.5.刘青山,邓健康,孙玉宝,闫胜业,基于移动平台的人脸特征点定位跟踪方法,发明专利,CN201310429774.1(公开号).6.孙茂庭,孙玉宝,刘青山,一种交互式三维影像靶系统,实用新型,专利号:201620467054.3
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