Qingping Zhou (周清平)

Lecturer, School of Mathematics and Statistics
Central South University

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Welcome to my homepage!
I am a Lecturer at the School of Mathematics and Statistics of Central South University. I studied Mathematics and Applied Mathematics and received a B.S. in 2012, followed by an M.S. in Probability Theory and Mathematical Statistics in 2015, both from Lanzhou University. In 2019, I obtained a Ph.D. in Mathematics from Shanghai Jiao Tong University, under the supervision of Prof. Jinglai Li and Prof. Xiaoqun Zhang. Subsequently, I worked as an Algorithm Engineer at Meituan from 2019 to 2020. In July 2020, I joined Central South University.

news

Sep 13, 2024 Our paper Fused L1/2 prior for large scale linear inverse problem with Gibbs bouncy particle sampler has been arxived
Apr 10, 2024 Our paper Bayesian imaging inverse problem with SA-Roundtrip prior via HMC-pCN sampler has been published in Computational Statistics & Data Analysis
Mar 23, 2024 Our paper on Surrogate Model for Infinite Bayesian PDE Inversion has been accepted for publication in Journal of Computational Physics
Mar 20, 2024 Our paper Deep unrolling networks with recurrent momentum acceleration for nonlinear inverse problems has been accepted for publication in Inverse Problems
Feb 27, 2024 Congratulations to Mr. Guixian Xu on being awarded a full scholarship from the School of Mathematics at University of Birmingham to pursue a PhD in Applied Mathematics :tada:
Jan 09, 2024 Congratulations to Ms. Huihui Wang on being awarded a full scholarship from the School of Mathematics at the King’s College London to pursue a PhD in Statistics :tada:

selected publications

  1. GibbsBPS.jpg
    Fused L1/2 prior for large scale linear inverse problem with Gibbs bouncy particle sampler
    Xiongwen Ke , Yanan Fan , and Qingping Zhou
    2024
  2. DuNets.jpg
    Deep unrolling networks with recurrent momentum acceleration for nonlinear inverse problems
    Qingping Zhou, Jiayu Qian , Junqi Tang , and Jinglai Li
    Inverse Problems, 2024
  3. dgmEIT.jpg
    A comparative study of variational autoencoders, normalizing flows, and score-based diffusion models for electrical impedance tomography
    Huihui Wang , Guixian Xu , and Qingping Zhou
    Journal of Inverse and Ill-posed Problems, 2024
  4. BayesianPET.jpg
    Bayesian Inference and Uncertainty Quantification for Medical Image Reconstruction with Poisson Data
    Qingping Zhou, Tengchao Yu , Xiaoqun Zhang , and Jinglai Li
    SIAM Journal on Imaging Sciences, 2020