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研究领域

稀疏低秩学习理论与方法、大数据分析技术、高光谱遥感影像处理与分析等。具体研究问题包括:矩阵低秩稀疏分解理论及其应用、多维信号稀疏表示与压缩感知、图\超图模型、图像处理反问题等

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1. Yubao Sun, Sujuan Wang, Qingshan Liu *, Renlong Hang and Guangcan Liu,Hypergraph Embedding for Spatial-Spectral Joint Feature Extraction in Hyperspectral Images, Remote Sensing, 2017, 9, 506. 2. Sujuan Wang, Yubao Sun, Renlong Hang, Qingshan Liu∗, Xiaotong Yuan and Guangcan Liu,Spatial-spectral Locality Constrained Elastic Net Hypergraph for Hyperspectral Image Clustering, International Journal of Remote Sensing,2017,38(21): 7374–7388. 3. Qingshan Liu, Yubao Sun, Renlong Hang , Huihui Song, Spatial–Spectral Locality-Constrained Low-Rank Representation with Semi-Supervised Hypergraph Learning for Hyperspectral Image Classification ,IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017,10(9) :4171 - 4182. 4. 孙玉宝,杭仁龙, 刘青山,朱付平,裴虎诚,Graph-Regularized Low Rank Representation for Aerosol Optical Depth Retrieval, International Journal of Remote Sensing,37(24):5749 –5762, 2016. 5. 刘青山,孙玉宝,王灿田,刘同亮,陶大成,Elastic Net Hypergraph Learning for Image Clustering and Semi-supervised Classification, IEEE Transactions On Image Processing, 26(1):452 – 463,2017. 6. 孙玉宝、刘青山、唐金辉、陶大成 ,Learning Discriminative Dictionary for Group Sparse Representation,IEEE Transactions On Image Processing, 23(9):3816-3827, 2014. 7. 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. 8. 杭仁龙、刘青山、宋慧慧、孙玉宝 ,Matrix-Based Discriminant Subspace Ensemble for Hyperspectral Image Spatial–Spectral Feature Fusion ,IEEE Transactions on Geoscience and Remote Sensing, 54(2):783 - 794, 2016. 9. 杭仁龙, 刘青山, 宋慧慧, 孙玉宝、朱付平、裴虎诚, Graph Regularized Nonlinear Ridge Regression for Remote Sensing Data Analysis,IEEE Journal Of Selected Topics In Applied Earth Observations And Remote Sensing, 10(1):277 – 285, 2017. 10. 孙玉宝、厉智、吴敏 ,A Rank-Constrained Matrix Representation for Hypergraph-Based Subspace Clustering ,Mathematical Problems in Engineering, 572753:1-12, 2015. 11. 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. 12. 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. 13. 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. 14. 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. 15. 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. 16. 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. 17. 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):145-"

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