Xiaoxia Liu
time: 2025-11-17

Xiaoxia Liu

Position: Associate Professor
Email: xiaoxliu@scut.edu.cn

Research Interests

  • Image Processing: Image denoising, medical image reconstruction, data recovery, etc.

  • Optimization: Nonconvex nonsmooth optimization, proximal algorithms, etc.

  • Deep Learning: Proximal denoisers, plug-and-play algorithms, etc.

  • Inverse Problems: Low-rank regularization, sparse representations, etc.

Education and Work Experience

Education:

  • 2012/08-2018/06: Ph.D. in Mathematics, Syracuse University

  • 2008/09-2012/06: B.Sc. in Information and Computational Science, Sun Yat-sen University

Work Experience:

  • 2025/07-Present:Associate Professor, School of Mathematics, South China University of Technology

  • 2022/01-2025/06:Research Assistant Professor, Department of Applied Mathematics, The Hong Kong Polytechnic University

  • 2021/04-2022/01: Associate Researcher, College of Mathematics and Statistics, Shenzhen University

  • 2018/10-2020/12: Postdoctoral Fellow, College of Mathematics and Statistics, Shenzhen University

Selected Publications

  • Xiaoxia Liu, Shijie Yu*, Provably convergent plug-and-play proximal block coordinate descent method for hyperspectral anomaly detection, International Journal of Numerical Analysis and Modeling, 23(1), 63-82, 2026.

  • Xiaoxia Liu, Shijie Yu, Jian Lu, Xiaojun Chen*, Orthogonal constrained minimization with tensor l_{2,p} regularization for HSI denoising and destriping, SIAM Journal on Imaging Sciences, 18(4), 2313-2346, 2025.

  • Jian Lu#, Lin Huang#, Xiaoxia Liu*, Ning Xie*, Qingtang Jiang, Yuru Zou, 3D Poissonian image deblurring via patch-based tensor logarithmic Schatten-p minimization, Inverse Problems, 40(6), 065010, 2024.

  • Hong Zhu#, Xiaoxia Liu#, Lin Huang, Zhaosong Lu, Jian Lu*, Michael K. Ng, Augmented Lagrangian method for tensor low-rank and sparsity models in multi-dimensional image recovery, Advances in Computational Mathematics, 50(75), 2024.

  • Jian Lu#, Chen Xu#, Zhenwei Hu, Xiaoxia Liu*, Qingtang Jiang, Deyu Meng and Zhouchen Lin, A new nonlocal low-rank regularization method with applications to magnetic resonance image denoising, Inverse Problems, 38(6), 065012, 2022.

  • Chen Xu#, Xiaoxia Liu#, Jian Zheng, Lixin Shen, Qingtang Jiang, Jian Lu*, Nonlocal low-rank regularized two-phase approach for mixed noise removal, Inverse Problems, 37(8), 085001, 2021.

  • Xiaoxia Liu, Jian Lu*, Lixin Shen, Chen Xu, Yuesheng Xu, Multiplicative noise removal: Nonlocal low-rank model and its proximal alternating reweighted minimization algorithm, SIAM Journal on Imaging Sciences, 13(3), 1595-1629, 2020.

OthersAwardsResearch Grants…etc

Awards:

  • The second prize for outstanding young academic achievements by the Guangdong Province Computational Mathematical Society.

Research Grants:

  • NSFC Schemes - Young Scientists Fund [Category C]: Plug-and-play based Models and Algorithms for Joint Hyperspectral Image Reconstruction and Restoration, 2026-2028.