邱常新｜宁波大学｜学者主页

期刊论文

2026

Auto-PINNs: A reinforcement learning framework for solving coupled fluid–porous media flows with Beavers–Joseph interface conditions

Menghan Guo, Changxin Qiu, Zhiping Mao

Journal of Computational Physics

DOI

2026

Analysis of a joint Stokes–Darcy Ritz-projection and multi-step BDF schemes for decoupling the unsteady Navier–Stokes–Darcy model

Changxin Qiu, Kai Wang, Xiaoming He, Yanping Lin

IMA Journal of Numerical Analysis

DOI

2026

Solving an inverse source problem for nonlocal diffusion-wave equations through Laplace-based physics-informed neural networks

Weiyue Sun, Changxin Qiu, Zhiyuan Li

Electronic Research Archive

DOI

2025

A high order ensemble algorithm for dual-porosity-Navier-Stokes flows

Changxin Qiu, Jiangyong Hou, Yinhua Xia, Shan Li

Journal of Computational Physics

DOI

2025

Laplace based physical informed neural network for the time-fractional partial differential equations

Lili Wang, Changxin Qiu, Yanxin Wang, Min Wang

International Journal of Computer Mathematics

DOI

2025

Laplace-based physics-informed neural networks for solving nonlinear coefficient inverse problem for acoustic equation with fractional derivative

Z. Chen, Changxin Qiu, Zhiyuan Li, Song Xu

Physics of Fluids

DOI

2025

Subregion–identified physics-informed neural networks for the Navier–Stokes/Darcy interface model

Mulin Wang, Jinyi Luo, Xiangpeng Xin, Changxin Qiu

Electronic Research Archive

DOI

2025

Training data studies for the cell-average-based neural network method for linear hyperbolic and parabolic equations

Ty Kroells, Ethan Schmidt, Changxin Qiu, Jue Yan

Beijing Journal of Pure and Applied Mathematics

DOI

2024

Direct Discontinuous Galerkin Method with Interface Correction for the Keller-Segel Chemotaxis Model

Xinghui Zhong, Changxin Qiu, Jue Yan

Journal of Scientific Computing

DOI

2024

The cell-average based neural network for numerical approximation of the nonlinear Schrödinger equation

Dielan Hu, Changxin Qiu, Bo Yang, Biao Li

Nonlinear Dynamics

DOI

2024

Advanced Physics-informed neural networks for numerical approximation of the coupled Schrödinger–KdV equation

Qiongni Zhang, Changxin Qiu, Jiangyong Hou, Wenjing Yan

Communications in Nonlinear Science and Numerical Simulation

DOI

2024

Cell-Average Based Neural Network Method for Hunter-Saxton Equations

Chunjie Zhang, Changxin Qiu, Xiaofang Zhou, Xiaoming He

Advances in Applied Mathematics and Mechanics

DOI

2023

Accuracy and Architecture Studies of Residual Neural Network Method for Ordinary Differential Equations

Changxin Qiu, Aaron Bendickson, Joshua Kalyanapu, Jue Yan

Journal of Scientific Computing

DOI

2022

A Multigrid Multilevel Monte Carlo Method for Stokes–Darcy Model with Random Hydraulic Conductivity and Beavers–Joseph Condition

Zhipeng Yang, Ming Ju, Changxin Qiu, Maojun Li, Xiaoming He

Journal of Scientific Computing

DOI

2022

Mastering the Cahn–Hilliard equation and Camassa–Holm equation with cell-average-based neural network method

Xiaofang Zhou, Changxin Qiu, Wenjing Yan, Biao Li

Nonlinear Dynamics

DOI

2021

Modeling and a Robin-type decoupled finite element method for dual-porosity–Navier–Stokes system with application to flows around multistage fractured horizontal wellbore

Jiangyong Hou, Dan Hu, Xiaoming He, Changxin Qiu

Computer Methods in Applied Mechanics and Engineering

DOI

2021

Numerical analysis of a second order ensemble algorithm for numerical approximation of stochastic Stokes-Darcy equations

N. Jiang, Changxin Qiu

Journal of Computational and Applied Mathematics

DOI

2021

Third order positivity-preserving direct discontinuous Galerkin method with interface correction for chemotaxis Keller-Segel equations

Changxin Qiu, Qing-Yuan Liu, Jue Yan

Journal of Computational Physics

DOI

2021

Cell-average based neural network method for hyperbolic and parabolic partial differential equations

Changxin Qiu, Jue Yan

arXiv.org

2020

A Coupled Multiphysics Model and a Decoupled Stabilized Finite Element Method for the Closed-Loop Geothermal System

Md. Abdullah Al Mahbub, Xiao-Ming He, N. Nasu, Changxin Qiu, Yifan Wang, Hai-Biao Zheng

SIAM Journal on Scientific Computing

DOI

2020

A domain decomposition method for the time-dependent Navier-Stokes-Darcy model with Beavers-Joseph interface condition and defective boundary condition

Changxin Qiu, Xiao-Ming He, Jian Li, Yan-Ping Lin

Journal of Computational Physics

DOI

2020

A generalized finite difference method for solving elliptic interface problems

Y. Xing, Lina Song, Xiao-Ming He, Changxin Qiu

Mathematics and Computers in Simulation

DOI

2019

An efficient ensemble algorithm for numerical approximation of stochastic Stokes–Darcy equations

N. Jiang, Changxin Qiu

Computer Methods in Applied Mechanics and Engineering

DOI

2019

Coupled and decoupled stabilized mixed finite element methods for nonstationary dual‐porosity‐Stokes fluid flow model

Md. Abdullah Al Mahbub, Xiao-Ming He, N. Nasu, Changxin Qiu, Hai-Biao Zheng

International Journal for Numerical Methods in Engineering

DOI

2019

An artificial compressibility ensemble algorithm for a stochastic Stokes‐Darcy model with random hydraulic conductivity and interface conditions

Xiao-Ming He, N. Jiang, Changxin Qiu

International Journal for Numerical Methods in Engineering

DOI

2019

Decoupling methods for the time-dependent Navier-Stokes-Darcy interface model

Changxin Qiu

2016

基于有限元方法求解的具有交界面边界条件的Stokes-Darcy耦合系统

邱常新

《青岛大学》

预印本

2026

High-order, long-time stable and parallel decoupled GBDF$k$ SAV ensemble schemes for the Navier--Stokes--Darcy flow with random hydraulic conductivity tensors

Wei-Wei Han, Fukeng Huang, Changxin Qiu

arXiv (Cornell University)

DOI

2026

ViT-K: A Few-Shot Learning Model for Coupled Fluid-Porous Media Flows with Interface Conditions

Mengjia Chen, Changxin Qiu, Zhiping Mao, Menghui Xu

arXiv (Cornell University)

DOI

2026

A Semi-Implicit Spectral Deferred Correction Ensemble Domain Decomposition Algorithm for Dual-Porosity-Navier-Stokes System With Random Hydraulic Conductivity

Jiangyong Hou, Changxin Qiu, Fengna Yan, Yinhua Xia

SSRN Electronic Journal

DOI

邱常新

精选作品

期刊论文

Auto-PINNs: A reinforcement learning framework for solving coupled fluid–porous media flows with Beavers–Joseph interface conditions

Analysis of a joint Stokes–Darcy Ritz-projection and multi-step BDF schemes for decoupling the unsteady Navier–Stokes–Darcy model

Solving an inverse source problem for nonlocal diffusion-wave equations through Laplace-based physics-informed neural networks

A high order ensemble algorithm for dual-porosity-Navier-Stokes flows

Laplace based physical informed neural network for the time-fractional partial differential equations

Laplace-based physics-informed neural networks for solving nonlinear coefficient inverse problem for acoustic equation with fractional derivative

Subregion–identified physics-informed neural networks for the Navier–Stokes/Darcy interface model

Training data studies for the cell-average-based neural network method for linear hyperbolic and parabolic equations

Direct Discontinuous Galerkin Method with Interface Correction for the Keller-Segel Chemotaxis Model

The cell-average based neural network for numerical approximation of the nonlinear Schrödinger equation

Advanced Physics-informed neural networks for numerical approximation of the coupled Schrödinger–KdV equation

Cell-Average Based Neural Network Method for Hunter-Saxton Equations

Accuracy and Architecture Studies of Residual Neural Network Method for Ordinary Differential Equations

A Multigrid Multilevel Monte Carlo Method for Stokes–Darcy Model with Random Hydraulic Conductivity and Beavers–Joseph Condition

Mastering the Cahn–Hilliard equation and Camassa–Holm equation with cell-average-based neural network method

Modeling and a Robin-type decoupled finite element method for dual-porosity–Navier–Stokes system with application to flows around multistage fractured horizontal wellbore

Numerical analysis of a second order ensemble algorithm for numerical approximation of stochastic Stokes-Darcy equations

Third order positivity-preserving direct discontinuous Galerkin method with interface correction for chemotaxis Keller-Segel equations

Cell-average based neural network method for hyperbolic and parabolic partial differential equations

A Coupled Multiphysics Model and a Decoupled Stabilized Finite Element Method for the Closed-Loop Geothermal System

A domain decomposition method for the time-dependent Navier-Stokes-Darcy model with Beavers-Joseph interface condition and defective boundary condition

A generalized finite difference method for solving elliptic interface problems

An efficient ensemble algorithm for numerical approximation of stochastic Stokes–Darcy equations

Coupled and decoupled stabilized mixed finite element methods for nonstationary dual‐porosity‐Stokes fluid flow model

An artificial compressibility ensemble algorithm for a stochastic Stokes‐Darcy model with random hydraulic conductivity and interface conditions

Decoupling methods for the time-dependent Navier-Stokes-Darcy interface model

基于有限元方法求解的具有交界面边界条件的Stokes-Darcy耦合系统

预印本

High-order, long-time stable and parallel decoupled GBDF$k$ SAV ensemble schemes for the Navier--Stokes--Darcy flow with random hydraulic conductivity tensors

ViT-K: A Few-Shot Learning Model for Coupled Fluid-Porous Media Flows with Interface Conditions

A Semi-Implicit Spectral Deferred Correction Ensemble Domain Decomposition Algorithm for Dual-Porosity-Navier-Stokes System With Random Hydraulic Conductivity

研究方向