activity
20192025
most citedWLS-ENO Remap: Superconvergent and Non-Oscillatory Weighted Least Squares Data Transfer on Surfaces

14 citations · 37 across the 9 of their papers we have counts for

collaborators

9 papers

math.NA2025

Inverse Random Source Problem for the Helmholtz Equation from Statistical Phaseless Data

Qiao-Ping Chen, Hongyu Liu, Zejun Sun +2

This paper investigates the problem of reconstructing a random source from statistical phaseless data for the two-dimensional Helmholtz equation. The major challenge of this proble…

math.NA2023

Robust Discontinuity Indicators for High-Order Reconstruction of Piecewise Smooth Functions

Yipeng Li, Qiao Chen, Xiangmin Jiao

In many applications, piecewise continuous functions are commonly interpolated over meshes. However, accurate high-order manipulations of such functions can be challenging due to p…

cs.CV2022

Motion Estimation for Large Displacements and Deformations

Qiao Chen, Charalambos Poullis

Large displacement optical flow is an integral part of many computer vision tasks. Variational optical flow techniques based on a coarse-to-fine scheme interpolate sparse matches a…

math.NA2021★ 2 cited

HIFIR: Hybrid Incomplete Factorization with Iterative Refinement for Preconditioning Ill-conditioned and Singular Systems

Qiao Chen, Xiangmin Jiao

We introduce a software package called HIFIR for preconditioning sparse, unsymmetric, ill-conditioned, and potentially singular systems. HIFIR computes a hybrid incomplete factoriz…

math.NA2020★ 9 cited

Optimal and Low-Memory Near-Optimal Preconditioning of Fully Implicit Runge-Kutta Schemes for Parabolic PDEs

Xiangmin Jiao, Xuebin Wang, Qiao Chen

Runge-Kutta (RK) schemes, especially Gauss-Legendre and some other fully implicit RK (FIRK) schemes, are desirable for the time integration of parabolic partial differential equati…

cs.CE2020★ 6 cited

Robust and Efficient Multilevel-ILU Preconditioning of Hybrid Newton-GMRES for Incompressible Navier-Stokes Equations

Qiao Chen, Xiangmin Jiao, Oliver Yang

We introduce a robust and efficient preconditioner for a hybrid Newton-GMRES method for solving the nonlinear systems arising from incompressible Navier-Stokes equations. When the…

math.NA2020★ 1 cited

Approximate Generalized Inverses with Iterative Refinement for -Accurate Preconditioning of Singular Systems

Xiangmin Jiao, Qiao Chen

We introduce a new class of preconditioners to enable flexible GMRES to find a least-squares solution, and potentially the pseudoinverse solution, of large-scale sparse, asymmetric…

math.NA2019★ 14 cited

WLS-ENO Remap: Superconvergent and Non-Oscillatory Weighted Least Squares Data Transfer on Surfaces

Yipeng Li, Qiao Chen, Xuebin Wang +1

Data remap between non-matching meshes is a critical step in multiphysics coupling using a partitioned approach. The data fields being transferred often have jumps in function valu…

math.NA2019★ 5 cited

HILUCSI: Simple, Robust, and Fast Multilevel ILU for Large-Scale Saddle-Point Problems from PDEs

Qiao Chen, Aditi Ghai, Xiangmin Jiao

Incomplete factorization is a widely used preconditioning technique for Krylov subspace methods for solving large-scale sparse linear systems. Its multilevel variants, such as ILUP…