董国志｜中南大学｜学者主页

期刊论文

2026

An FDM-sFEM Scheme on Time-Space Manifolds and Its Superconvergence Analysis

Chengrun Jiang, Guozhi Dong, Hailong Guo, Zuoqiang Shi

Journal of Scientific Computing

DOI

2025

Discontinuous Galerkin methods for the Laplace-Beltrami operator on point clouds

Guozhi Dong, Hailong Guo, Zuoqiang Shi

Science China Mathematics

DOI

2025

When surface evolution meets Fokker-Planck equation: A novel tangential velocity model for uniform parametrization

Jiangong Pan, Guozhi Dong, Hailong Guo, Zuoqiang Shi

Journal of Computational Physics

DOI

2025

Accelerated Gradient Flows for Large Bending Deformations of Nonlinear Plates

Guozhi Dong, Hailong Guo, Shuo Yang

SIAM Journal on Scientific Computing

DOI

2025

Dictionary learning based regularization in quantitative MRI: a nested alternating optimization framework

Guozhi Dong, Michael Hintermüller, Clemens Sirotenko

Inverse Problems

DOI

2025

Second-Order Flows for Approaching Stationary Points of a Class of Nonconvex Energies via Convex-Splitting Schemes

Haifan Chen, Guozhi Dong, José A. Iglesias, Wei Liu, Ziqing Xie

SIAM Journal on Scientific Computing

DOI

2025

Gradient enhanced ADMM algorithm for dynamic optimal transport on surfaces

Guozhi Dong, Hailong Guo, Chengrun Jiang, Zuoqiang Shi

Journal of Computational Physics

DOI

2025

First-Order Conditions for the Optimal Control of Learning-Informed Nonsmooth PDEs

Guozhi Dong, Michael Hintermüller, Kostas Papafitsoros, Kathrin Völkner

Numerical Functional Analysis and Optimization

DOI

2024

A Descent Algorithm for the Optimal Control of ReLU Neural Network Informed PDEs Based on Approximate Directional Derivatives

Guozhi Dong, Michael Hintermüller, Kostas Papafitsoros

SIAM Journal on Optimization

DOI

2024

Data‐driven methods for quantitative imaging

Guozhi Dong, Moritz Flaschel, Michael Hintermüller, Kostas Papafitsoros, Clemens Sirotenko, Karsten Tabelow

GAMM-Mitteilungen

DOI

2024

Superconvergence of Differential Structure for Finite Element Methods on Perturbed Surface Meshes

Guozhi Dong, Hailong Guo, Ting Guo

Journal of Computational Mathematics

DOI

2023

Gradients of Acquisition Functions for Bi-objective Bayesian optimization

Kaifeng Yang, Sixuan Liu, Michael Affenzeller, Guozhi Dong

International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)

DOI

2022

Second-order flows for computing the ground states of rotating Bose-Einstein condensates

Haifan Chen, Guozhi Dong, Wei Liu, Ziqing Xie

Journal of Computational Physics

DOI

2022

A parallel technique for multi-objective Bayesian global optimization: Using a batch selection of probability of improvement

Kaifeng Yang, Michael Affenzeller, Guozhi Dong

Swarm and Evolutionary Computation

DOI

2021

A Class of Second-Order Geometric Quasilinear Hyperbolic PDEs and Their Application in Imaging

Guozhi Dong, M. Hintermueller, Ye Zhang

SIAM Journal of Imaging Sciences

2012

反问题的正则化方法及其计算

董国志

《湖南师范大学》

预印本

2024

BDF schemes for accelerated gradient flows in projection-free approximation of nonconvex constrained variational minimization

Guozhi Dong, Gong, Zikang, Ziqing Xie, Shuo Yang

arXiv (Cornell University)

DOI

董国志

精选作品

期刊论文

An FDM-sFEM Scheme on Time-Space Manifolds and Its Superconvergence Analysis

Discontinuous Galerkin methods for the Laplace-Beltrami operator on point clouds

When surface evolution meets Fokker-Planck equation: A novel tangential velocity model for uniform parametrization

Accelerated Gradient Flows for Large Bending Deformations of Nonlinear Plates

Dictionary learning based regularization in quantitative MRI: a nested alternating optimization framework

Second-Order Flows for Approaching Stationary Points of a Class of Nonconvex Energies via Convex-Splitting Schemes

Gradient enhanced ADMM algorithm for dynamic optimal transport on surfaces

First-Order Conditions for the Optimal Control of Learning-Informed Nonsmooth PDEs

A Descent Algorithm for the Optimal Control of ReLU Neural Network Informed PDEs Based on Approximate Directional Derivatives

Data‐driven methods for quantitative imaging

Superconvergence of Differential Structure for Finite Element Methods on Perturbed Surface Meshes

Gradients of Acquisition Functions for Bi-objective Bayesian optimization

Second-order flows for computing the ground states of rotating Bose-Einstein condensates

A parallel technique for multi-objective Bayesian global optimization: Using a batch selection of probability of improvement

A Class of Second-Order Geometric Quasilinear Hyperbolic PDEs and Their Application in Imaging

反问题的正则化方法及其计算

预印本

BDF schemes for accelerated gradient flows in projection-free approximation of nonconvex constrained variational minimization

研究方向