肖亮 - 南京理工大学 - 计算机科学与工程学院

个人简介

工作经历 (1) 2013.4-至今, 南京理工大学, 计算机科学与工程学院, 教授 (2) 2007.4-2013.3, 南京理工大学, 计算机科学与工程学院, 副教授 (3) 2004.3-2007.4, 南京理工大学, 计算机科学与工程学院, 讲师 (4) 2009.6-2010.7, 美国伦斯勒理工学院, 博士后, 合作导师: Badrineath Roysam (5) 2006.1-2008.12, 南京理工大学控制科学与工程博士后流动站, 博士后, 合作导师: 韦志辉教育经历 (1) 1999.9–2004.3, 南京理工大学, 计算机应用技术, 博士, 导师: 吴慧中 (2) 1995.9–1999.7, 南京理工大学, 计算数学与应用软件, 学士,导师: 韦志辉

研究领域

计算机视觉与图像理解（目前集中于压缩感知技术，超分辨重建，图像增强，图像分割等）；光谱与光谱成像数据智能处理与系统应用；虚拟现实与科学计算可视化；生物医学图像处理[http://www.farsight-toolkit.org/wiki/Roysam_Laboratory]等

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

[1]肖亮，韦志辉，邵文泽.基于图像先验建模的图像超分辨理论与算法：变分PDE, 稀疏正则化与贝叶斯方法.国防出版社，ISBN 978-7-1185042, 2017.7 专著 [2]肖亮，张军，刘鹏飞.稀疏图像与信号处理：小波，曲波，形态多样性，.国防工业出版社，2015，译著。 [3]Ge Qi, Jing Xiaoyuan, Wu Fei, Wei Zhihui, Xiao Liang, Shao Wenze, Yue Dong, and Li Haibo. Structure-Based Low-Rank Model With Graph Nuclear Norm Regularization for Noise Removal, IEEE Transaction on Image Processing, 2017,26(7):3098-3012. [4]Wang Liqian, Xiao Liang（*）, Liu Hongyi, Wei Zhihui. Variational Bayesian Method for Retinex. IEEE Transactions on Image Processing, 2014, 23(8):3381-3396. [5]Song Jie; Xiao Liang（*）; Lian Zhichao. Boundary-to-Marker Evidence-Controlled Segmentation and MDL-Based Contour Inference for Overlapping Nuclei. IEEE Journal of Biomedical and Health Informatics, 2017,21(2): 451-464 . [6]Liu Pengfei, Xiao Liang(*), Zhang Jun, Bushra Naz, Spatial-Hessian-Feature-Guided Variational Model for Pan-Sharpening, [7] Huang Wei, Xiao Liang（*）, Wei Zhihui, Tang Songze, A New Pan-Sharpening Method With Deep Neural Networks, IEEE Geoscience and Remote Sensing Letters, 2015, 12(5):1037-1041. [8]Liu Jianjun, Wu Zebin, Wei Zhihui, Xiao Liang, Sun Le, Spatial-Spectral Kernel Sparse Representation for Hyperspectral Image Classification, IEEE Journal of Selected Topics in Alied Earth Observations and Remote Sensing, 2013, 6(6):2462-2471. [9]Fei Xuan, Wei Zhihui, Xiao Liang, Iterative directional total variation refinement for compressive sensing image reconstruction, IEEE Signal Processing Letters, 2013, 20(11):1070-1073. [10]Tang Songze ; Xiao Liang ; Liu Pengfei ; Huang Lili ; Zhou Nan; Xu Yang, Pansharpening via sparse regression, Optical Engineering, 2017, 56(9), 093105. [11]Wu Huicong; Xiao Liang（*）; Shim Hiuk Jae ; Tang Songze. Video stabilisation with total warping variation model,IET Image Processing, 2017, 11(7): 465-474. [12]Liu Pengfei, Xiao Liang（*）, Efficient multiplicative noise removal method using isotropic second order total variation, Computers & Mathematics with Applications, 2015, 70(8):2029-2048. [13]Wang Kai, Xiao Liang（*）, Wei Zhihui, Motion blur kernel estimation in steerable gradient domain of decomposed image, Multidimensional Systems and Signal Processing, 2016 , 27 (2) :577-596. [14]Tang Songze, Xiao Liang（*）, Liu Pengfei, Zhang Jun, Huang Lili , Edge and color preserving single image super-resolution , Journal of Electronic Imaging, 2014 , 033002 (23) :3. [15]Wang Liqian, Xiao Liang（*）, Wei Zhihui, Image dehazing using two dimensional canonical correlation analysis, IET Computer Vision, 2015, 9(6):903-913. [17]Wang Liqian, Xiao Liang（*）, Liu Hongyi, Wei Zhihui, Local brightness adaptive image color enhancement with Wasserstein distance, IET Image Processing, 2014, 9(1):43-53. [18]Wang Liqian, Xiao Liang（*）, Zhang Jun, Wei Zhihui, New image restoration method associated with tetrolets shrinkage and weighted anisotropic total variation, Signal Processing, 2013, 93(4):661-670. [19]Xiao Liang（*）, Shao Jun, Huang Lili, Wei Zhihui , A novel compound regularization and fast algorithm for compressive sensing deconvolution, Neurocomputing, 2013, 119(1):131-138. [20]Liu Pengfei, Xiao Liang（*）, Xiu Liancun, Mixed Higher Order Variational Model for Image Recovery, Mathematical Problems in Engineering, 2014,(2014-2-27), 2014, 2014(1):Article ID 924686.