Wenrui Hao

Orcid: 0000-0002-6925-7424

According to our database1, Wenrui Hao authored at least 61 papers between 2009 and 2025.

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Bibliography

2025
Stability and robustness of time-discretization schemes for the Allen-Cahn equation via bifurcation and perturbation analysis.
J. Comput. Phys., 2025

2024
Gauss Newton Method for Solving Variational Problems of PDEs with Neural Network Discretizaitons.
J. Sci. Comput., July, 2024

A Numerical Method for Solving Elliptic Equations on Real Closed Algebraic Curves and Surfaces.
J. Sci. Comput., May, 2024

HomPINNs: Homotopy physics-informed neural networks for solving the inverse problems of nonlinear differential equations with multiple solutions.
J. Comput. Phys., March, 2024

Multiscale Neural Networks for Approximating Green's Functions.
CoRR, 2024

On pattern formation in the thermodynamically-consistent variational Gray-Scott model.
CoRR, 2024

Automatic Differentiation is Essential in Training Neural Networks for Solving Differential Equations.
CoRR, 2024

Newton Informed Neural Operator for Computing Multiple Solutions of Nonlinear Partials Differential Equations.
CoRR, 2024

An Adaptive Orthogonal Basis Method for Computing Multiple Solutions of Differential Equations with polynomial nonlinearities.
CoRR, 2024

Companion-based multi-level finite element method for computing multiple solutions of nonlinear differential equations.
Comput. Math. Appl., 2024

2023
Greedy training algorithms for neural networks and applications to PDEs.
J. Comput. Phys., July, 2023

Homotopy Relaxation Training Algorithms for Infinite-Width Two-Layer ReLU Neural Networks.
CoRR, 2023

Gauss Newton method for solving variational problems of PDEs with neural network discretizaitons.
CoRR, 2023

Deep Learning via Neural Energy Descent.
CoRR, 2023

2022
Optimal anti-amyloid-beta therapy for Alzheimer's disease via a personalized mathematical model.
PLoS Comput. Biol., September, 2022

Data-driven causal model discovery and personalized prediction in Alzheimer's disease.
npj Digit. Medicine, 2022

Randomized Newton's Method for Solving Differential Equations Based on the Neural Network Discretization.
J. Sci. Comput., 2022

Power series expansion neural network.
J. Comput. Sci., 2022

Nonlinear simulation of vascular tumor growth with chemotaxis and the control of necrosis.
J. Comput. Phys., 2022

Exploring approaches for predictive cancer patient digital twins: Opportunities for collaboration and innovation.
Frontiers Digit. Health, 2022

Bifurcation Analysis Reveals Solution Structures of Phase Field Models.
CoRR, 2022

Stability Preserving Data-driven Models With Latent Dynamics.
CoRR, 2022

HomPINNs: Homotopy physics-informed neural networks for learning multiple solutions of nonlinear elliptic differential equations.
Comput. Math. Appl., 2022

An adaptive homotopy tracking algorithm for solving nonlinear parametric systems with applications in nonlinear ODEs.
Appl. Math. Lett., 2022

A weight initialization based on the linear product structure for neural networks.
Appl. Math. Comput., 2022

2021
A Stochastic Homotopy Tracking Algorithm for Parametric Systems of Nonlinear Equations.
J. Sci. Comput., 2021

Multiscale and monolithic arbitrary Lagrangian-Eulerian finite element method for a hemodynamic fluid-structure interaction problem involving aneurysms.
J. Comput. Phys., 2021

Learn bifurcations of nonlinear parametric systems via equation-driven neural networks.
CoRR, 2021

Two neural-network-based methods for solving obstacle problems.
CoRR, 2021

An efficient greedy training algorithm for neural networks and applications in PDEs.
CoRR, 2021

Projection based model reduction for the immersed boundary method.
CoRR, 2021

Convergence analysis of neural networks for solving a free boundary problem.
Comput. Math. Appl., 2021

A gradient descent method for solving a system of nonlinear equations.
Appl. Math. Lett., 2021

2020
An Adaptive Homotopy Method for Computing Bifurcations of Nonlinear Parametric Systems.
J. Sci. Comput., 2020

A Homotopy Method with Adaptive Basis Selection for Computing Multiple Solutions of Differential Equations.
J. Sci. Comput., 2020

Convergence analysis of neural networks for solving a free boundary system.
CoRR, 2020

2019
A machine learning method correlating pulse pressure wave data with pregnancy.
CoRR, 2019

Computational Causal Modeling of the Dynamic Biomarker Cascade in Alzheimer's Disease.
Comput. Math. Methods Medicine, 2019

2018
Two-Level Spectral Methods for Nonlinear Elliptic Equations with Multiple Solutions.
SIAM J. Sci. Comput., 2018

A Homotopy Method for Parameter Estimation of Nonlinear Differential Equations with Multiple Optima.
J. Sci. Comput., 2018

Convergence of boundary integral method for a free boundary system.
J. Comput. Appl. Math., 2018

2017
Algorithm 976: Bertini_real: Numerical Decomposition of Real Algebraic Curves and Surfaces.
ACM Trans. Math. Softw., 2017

Algorithm to improve accuracy of energy expended in a room calorimeter.
Medical Biol. Eng. Comput., 2017

2016
Mathematical model on Alzheimer's disease.
BMC Syst. Biol., 2016

2015
A fictitious domain method with a hybrid cell model for simulating motion of cells in fluid flow.
J. Comput. Phys., 2015

2014
A bootstrapping approach for computing multiple solutions of differential equations.
J. Comput. Appl. Math., 2014

Bertini_real: Software for One- and Two-Dimensional Real Algebraic Sets.
Proceedings of the Mathematical Software - ICMS 2014, 2014

2013
Algorithm 931: An algorithm and software for computing multiplicity structures at zeros of nonlinear systems.
ACM Trans. Math. Softw., 2013

Uncertainty importance measure for models with correlated normal variables.
Reliab. Eng. Syst. Saf., 2013

Cell Cycle Control and Bifurcation for a Free Boundary Problem Modeling Tissue Growth.
J. Sci. Comput., 2013

A homotopy method based on WENO schemes for solving steady state problems of hyperbolic conservation laws.
J. Comput. Phys., 2013

Computing steady-state solutions for a free boundary problem modeling tumor growth by Stokes equation.
J. Comput. Appl. Math., 2013

A new interpretation and validation of variance based importance measures for models with correlated inputs.
Comput. Phys. Commun., 2013

Domain decomposition schemes with high-order accuracy and unconditional stability.
Appl. Math. Comput., 2013

2012
Importance measure of correlated normal variables and its sensitivity analysis.
Reliab. Eng. Syst. Saf., 2012

Continuation Along Bifurcation Branches for a Tumor Model with a Necrotic Core.
J. Sci. Comput., 2012

Efficient sampling methods for global reliability sensitivity analysis.
Comput. Phys. Commun., 2012

2011
A three-dimensional steady-state tumor system.
Appl. Math. Comput., 2011

2010
High-order Parallel Iterative Method For The Heat Equations.
Proceedings of the 2010 International Conference on Scientific Computing, 2010

2009
An algorithmic approach to finding factorial designs with generalized minimum aberration.
J. Complex., 2009

Parallel iterative methods for parabolic equations.
Int. J. Comput. Math., 2009


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