BIMSA > 刘铎
博士后 刘铎

团队: 偏微分方程理论与计算

办公室: A3-4-209

邮箱: liuduo@bimsa.cn

研究方向: 计算数学

研究兴趣

  • 逆问题、层析成像、光学成像、正则化理论、迭代方法

教育经历

  • 2019 - 2025      北京交通大学      计算数学      Ph.D
  • 2015 - 2019      北京交通大学      计算数学      B.Sc.

工作经历

  • 2026 -      BIMSA      博士后

出版物

  • [1] W Wang, D Liu, G Qu, ME Hochstenbach, Deterministic and randomized Kaczmarz methods for $AXB=C$ with applications to color image restoration: W. Wang et al., BIT Numerical Mathematics, 66(1), 13 (2026)
  • [2] G Qu, S Gao, D Liu, Filtered back projection-deconvolution method for light field reconstruction from the focal stack, Optics and Lasers in Engineering, 184, 108576 (2025)
  • [3] D Liu, Q Huang, Q Jin, A revisit on Nesterov acceleration for linear ill-posed problems, Journal of Complexity, 87, 101920 (2025)
  • [4] Q Jin, D Liu, Randomized block coordinate descent method for linear ill-posed problems, Inverse Problems, 41(3), 035012 (2025)
  • [5] D Liu, W Wang, G Qu, Preconditioned block Kaczmarz methods for linear equations with an application to computed tomography, Journal of X-Ray Science and Technology, 33(2), 472-487 (2025)
  • [6] D Liu, G Qu, S Gao, The photography transforms and their analytic inversion formulas, arXiv, 2502.02596 (2025)
  • [7] D Liu, G Qu, A class of Landweber-type iterative methods based on the Radon transform for incomplete view tomography, Journal of X-Ray Science and Technology, 33(1), 187-203 (2025)
  • [8] Y Ge, G Qu, Y Huang, D Liu, Coded aperture compressive temporal imaging via unsupervised lightweight local-global networks with geometric characteristics, Applied Optics, 63(15), 4109-4117 (2024)
  • [9] W Wang, G Qu, C Song, D Liu, Block-row and block-column iterative algorithms for solving linear matrix equation, Computational and Applied Mathematics, 42(4), 174 (2023)
  • [10] YR Ge, GR Qu, YH Huang, D Liu, Coded aperture compression temporal imaging based on a dual-mask and deep denoiser, Journal of the Optical Society of America A, 40(7), 1468-1477 (2023)

 

更新时间: 2026-04-07 18:00:13