中南大学周清平

周清平

职称：讲师
所在单位：数学与统计学院

讲师

所在单位：数学与统计学院
办公地点：数理楼661
联系方式：qpzhou@csu.edu.cn

论文成果

[1]Didi Lv, Xiaoqun Zhang, QIngping Zhou, Jae Kyu Choi, Jinglai Li, Xiaoqun Zhang.Nonlocal TV-Gaussian prior for Bayesian inverse problems with applications to limited CT reconstruction[J].Inverse Problems & Imaging, 2020, 14 (1) : 117-132.
[2]Qingping Zhou, Jinglai Li, Tengchao Yu, Xiaoqun Zhang, Jinglai Li.Bayesian Inference and Uncertainty Quantification for Medical Image Reconstruction with Poisson Data[J].SIAM Journal on Imaging Sciences, 2020, 13 (1) : 29-52.
[3]Qingping Zhou, Youssef M Marzouk, Wenqing Liu, Jinglai Li, Youssef M Marzouk.An approximate empirical Bayesian method for large-scale linear-Gaussian inverse problems[J].Inverse Problems, 2018, 34 (2018) : 095001.
[4]Qingping Zhou, Jinglai Li, Zixi Hu, Zhewei Yao, Jinglai Li.A Hybrid Adaptive MCMC Algorithm in Function Spaces[J].SIAM/ASA Journal on Uncertainty Quantification, 2017, 5: 621-639.
[5]lJianzhou Wang, Haiyan Jiang, QingpingZhou, Jie Wu, Shanshan Qin.China’s natural gas production and consumption analysis based on the multicycle Hubbert model and rolling Grey model[J].Renewable and Sustainable Energy Reviews, 2015, 53: 1149-1167.
[6]Jianzhou Wang, Shanshan Qin, QingpingZhou, Haiyan Jiang.Medium-term wind speeds forecasting utilizing hybrid models for three different sites in Xinjiang, China[J].Renewable Energy, 2014, 76: 91-101.
[7]Qingping Zhou, Haiyan Jiang, Jianzhou Wang, Jianling Zhou.A hybrid model for PM2.5 forecasting based on ensemble empirical mode decomposition and a general regression neural network[J].Science of The Total Environment, 2014, 496: 264-274.

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个人简介

主要研究兴趣有反问题、贝叶斯科学计算、不确定性量化, 特别关注使用新的贝叶斯方法解决数学和工程问题。论文发表在Inverse Problems、SIAM Journal on Imaging Sciences、SIAM/ASA Journal on Uncertainty Quantification、Journal of Scientific Computing、Inverse Problems and Imaging、Journal of Chemical Information and Modeling等国内外重要期刊上

更多信息见：https://zhouqp631.github.io/

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