工作经历 1.2016/08-至今，南京理工大学，计算机科学与工程学院，博士后，合作导师：曹国 2.2015/06-至今，南京理工大学，计算机科学与工程学院，讲师

教育经历 1.2009/9-2015/6，南京理工大学，模式识别与智能系统，博士，导师：孙权森 2.2013 /9-2014/9，澳大利亚悉尼大学，访问学者，合作导师：冯大淦 2.2005/9-2009/6，南京理工大学，软件工程，学士

主要从事模式识别、遥感图像处理等方向的研究工作

[1]Fu P, Xu Q, Zhang J, Geng L. A noise-resistant superpixel segmentation algorithm for hyperspectral images[J]. Computers Materials & Continua, 2019, 59(2): 509-515.

[2]Fu P, Sun X, Sun Q. Estimation of signal-dependent and -independent noise from hyperspectral images using a wavelet-based superpixel model[J]. Remote Sensing Letters, 2018, 9(9): 906-915.

[3]Wang T, Yang J, Sun Q, Ji Z, Fu P*, Ge Q. Global graph diffusion for interactive object extraction[J]. Information Sciences, 2018: 103-114.

[4]Fu P, Sun X, Sun Q. Hyperspectral image segmentation via frequency-based similarity for mixed noise estimation[J]. Remote Sensing, 2017, 9(12), 1237.

[5]Fu P, Li C, Cai W, Sun Q. A spatially cohesive superpixel model for image noise level estimation[J]. Neurocomputing, 2017(266): 420-432.

[6]Fu P, Sun Q, Ji Z. A spectral-spatial information based approach for the mixed noise estimation from hyperspectral remote sensing images[J]. Journal of Infrared and Millimeter Waves, 2015, 34(2): 236-242.

[7]Fu P, Li C, Xia Y, Ji Z, Sun Q, Cai W, Feng D. Adaptive noise estimation from highly textured hyperspectral images[J]. Applied Optics, 2014, 53(30): 7059-7071.

[8]Fu P, Li C, Sun Q, Cai W, Feng D. Image noise level estimation based on a new adaptive superpixel classification[C]//Proceedings of the IEEE International Conference on Image Processing, 2014: 2649-2653.