1 citations · 1 across the 5 of their papers we have counts for
5 papers
Starter-Iterator Neural Operator: A Unified Architecture for High-Fidelity Forward and Inverse PDE Problems
Kuilin Qin, Lianfang Wang, Xu Sun +4
Operator learning is an emerging field at the intersection of machine learning and scientific computing. By learning mappings between function spaces, neural operators provide data…
Deep Neural Networks Inspired by Differential Equations
Yongshuai Liu, Lianfang Wang, Kuilin Qin +6
Deep learning has become a pivotal technology in fields such as computer vision, scientific computing, and dynamical systems, significantly advancing these disciplines. However, ne…
Noise-adapted Neural Operator for Robust Non-Line-of-Sight Imaging
Lianfang Wang, Kuilin Qin, Xueying Liu +3
This work has been submitted for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible. Computational imaging, esp…
Geometric Constrained Non-Line-of-Sight Imaging
Xueying Liu, Lianfang Wang, Jun Liu +2
Normal reconstruction is crucial in non-line-of-sight (NLOS) imaging, as it provides key geometric and lighting information about hidden objects, which significantly improves recon…
Nonconvex weighted variational metal artifacts removal via convergent primal-dual algorithms
Lianfang Wang, Zhangling Chen, Zhifang Liu +4
Direct reconstruction through filtered back projection engenders metal artifacts in polychromatic computed tomography images, attributed to highly attenuating implants, which furth…