姓名：刘晶晶
职称：讲师
所在学院：数理学院
研究方向：图像处理；大数据分析；深度学习
联系方式：15501003826
电子邮箱：liujj@ncepu.edu.cn
个人简介：
刘晶晶，女，2019年博士毕业于中国工程物理研究院北京应用物理与计算数学研究所，2021年于北京大学博士后出站。主要从事图像处理，大数据分析，以及深度学习等方向的研究。
主要科研项目情况：
中央高校基金面上项目”基于边缘增强的多模态医学图像融合方法研究”(2022.5-2024.5)
代表性文章：
[1] Shaowen Yan,Guoxi Ni*,Jingjing Liu, A fractional-order regularization with sparsity constraint for blind restoration of images, Inverse Problems in Science and Engineering, 29(13)(2021), 3305–3321.
[2] Jingjing Liu, Anqi Ni and Guoxi Ni, A nonconvex l1(l1 − l2) model for image restoration with impulse noise, Journal of Computational and Applied Mathematics, 378(2020) 112934.
[3] Jingjing Liu, Yifei Lou, Guoxi Ni and Tieyong Zeng, An Image Sharpening Operator Combined with Framelet for Image Deblurring, Inverse Problems, 36(4)(2020).
[4] Jingjing Liu, Guoxi Ni and Shaowen Yan, Alternating Method Based on Framelet l0-norm and TV regularization for Image Restoration, Inverse Problems in Science and Engineering, 27(6)(2019) .
[5]Jingjing Liu, Xianyang Zeng and Guoxi Ni, Euler Numerical Methods for Reactive Flow with General Equation of States in Two Dimensions, Chinese Journal of computational physics, 35(1)(2018).
[6] Jingjing Liu, Yuying Shi and Yonggui Zhu, A fast and robust algorithm for image restoration with periodic boundary conditions, Journal of Computational Analysis and Applications, 17(3)(2014).
