25 citations · 25 across the 6 of their papers we have counts for
8 papers
Robust augmented Block Preconditioning for two-phase Incompressible Inductionless MHD
Bijie Song, Lingxiao Li, Jie Zhang
In this paper, we develop a robust augmented block preconditioner for three-dimensional, two-phase, incompressible inductionless MHD equations. We employ a high-order monolithic an…
High-order Energy-stable and Charge-conservative Lagrangian FEM for 3D Incompressible Inductionless MHD equations with Variable Density
Lingxiao Li, Bijie Song, Haiyan Su +1
In this paper, we develop a high-order, energy-stable and charge-conservative Lagrangian finite element method for variable-density incompressible inductionless magnetohydrodynamic…
Robust Block Preconditioning for 3D nonlinear steady-state radiation transport equations
Yunpan Ma, Lingxiao Li, Changhui Yao
In this work, based on the discrete ordinate method, we propose a robust block preconditioning strategy for the 3D nonlinear steady-state radiation transport equation with heat dif…
Parametric charge-conservative mixed finite element method for 3D incompressible inductionless MHD equations on curved domains
Xue Jiang, Lei Li, Lingxiao Li
This paper develops a charge-conservative mixed finite element method with optimal convergence rates for the stationary incompressible inductionless MHD equations on three-dimensio…
Optimal error estimate of an isoparametric upwind discontinuous Galerkin method for radiation transport equation on curved domains
Changhui Yao, Yunpan Ma, Lingxiao Li
In recent years, high-order finite element methods on high-order meshes have attracted considerable attention. This work investigates the isoparametric upwind discontinuous Galerki…
A divergence-free parametric finite element method for 3D Stokes equations on curved domains
Lingxiao Li, Haiyan Su, He Zhang +1
The Stokes equations play an important role in the incompressible flow simulation. In this paper, a novel divergence-free parametric mixed finite element method is proposed for sol…
radarODE: An ODE-Embedded Deep Learning Model for Contactless ECG Reconstruction from Millimeter-Wave Radar
Yuanyuan Zhang, Runwei Guan, Lingxiao Li +3
Radar-based contactless cardiac monitoring has become a popular research direction recently, but the fine-grained electrocardiogram (ECG) signal is still hard to reconstruct from m…
Debiased Distribution Compression
Lingxiao Li, Raaz Dwivedi, Lester Mackey
Modern compression methods can summarize a target distribution more succinctly than i.i.d. sampling but require access to a low-bias input sequence like a Markov chain…