activity
20182026
most citedMachine Learning for Prediction with Missing Dynamics

64 citations · 126 across the 15 of their papers we have counts for

collaborators

15 papers

math.NA2026

RBF-Generated Finite Difference Method Coupled with Quadratic Programming for Solving PDEs on Surfaces with Derivative Boundary Conditions

Peng Chen, Shixiao Willing Jiang, Rongji Li +1

Derivative boundary conditions introduce challenges for mesh-free discretizations of PDEs on surfaces, especially when the domain is represented by randomly sampled point clouds. T…

math.NA2025

Two-step Generalized RBF-Generated Finite Difference Method on Manifolds

Rongji Li, Haichuan Di, Shixiao Willing Jiang

Solving partial differential equations (PDEs) on manifolds defined by randomly sampled point clouds is a challenging problem in scientific computing and has broad applications in v…

math.NA2024

Generalized Moving Least-Squares Methods for Solving Vector-valued PDEs on Unknown Manifolds

Rongji Li, Qile Yan, Shixiao W. Jiang

In this paper, we extend the Generalized Moving Least-Squares (GMLS) method in two different ways to solve the vector-valued PDEs on unknown smooth 2D manifolds without boundaries…

math.NA2023★ 1 cited

Generalized Finite Difference Method on unknown manifolds

Shixiao W. Jiang, Rongji Li, Qile Yan +1

In this paper, we extend the Generalized Finite Difference Method (GFDM) on unknown compact submanifolds of the Euclidean domain, identified by randomly sampled data that (almost s…

math.NA2022★ 8 cited

Spectral methods for solving elliptic PDEs on unknown manifolds

Qile Yan, Shixiao Jiang, John Harlim

In this paper, we propose a mesh-free numerical method for solving elliptic PDEs on unknown manifolds, identified with randomly sampled point cloud data. The PDE solver is formulat…

math.NA2022★ 4 cited

Radial basis approximation of tensor fields on manifolds: From operator estimation to manifold learning

John Harlim, Shixiao Willing Jiang, John Wilson Peoples

In this paper, we study the Radial Basis Function (RBF) approximation to differential operators on smooth tensor fields defined on closed Riemannian submanifolds of Euclidean space…