Guozhi Dong

According to our database, Guozhi Dong authored at least 19 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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 J. Optim., 2024

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

Guozhi Dong, Zikang Gong, Ziqing Xie, Shuo Yang

CoRR, 2024

Gradient enhanced ADMM Algorithm for dynamic optimal transport on surfaces.

Guozhi Dong, Hailong Guo, Chengrun Jiang, Zuoqiang Shi

CoRR, 2024

Second-order flows for approaching stationary points of a class of non-convex energies via convex-splitting schemes.

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

CoRR, 2024

Accelerated gradient flows for large bending deformations of nonlinear plates.

Guozhi Dong, Hailong Guo, Shuo Yang

CoRR, 2024

2023

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

Haifan Chen, Guozhi Dong, Wei Liu, Ziqing Xie

J. Comput. Phys., February, 2023

Gradients of Acquisition Functions for Bi-objective Bayesian optimization.

Kaifeng Yang, Sixuan Liu, Michael Affenzeller, Guozhi Dong

Proceedings of the 19th International Conference on Natural Computation, 2023

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 Evol. Comput., 2022

Convergence Rates of First- and Higher-Order Dynamics for Solving Linear Ill-Posed Problems.

Radu Ioan Bot, Guozhi Dong, Peter Elbau, Otmar Scherzer

Found. Comput. Math., 2022

2021

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

Guozhi Dong, Michael Hintermueller, Ye Zhang

SIAM J. Imaging Sci., 2021

2020

Parametric Polynomial Preserving Recovery on Manifolds.

Guozhi Dong, Hailong Guo

SIAM J. Sci. Comput., 2020

Discontinuous Galerkin methods for the Laplace-Beltrami operator on point cloud.

Guozhi Dong, Hailong Guo, Zuoqiang Shi

CoRR, 2020

Optimization with learning-informed differential equation constraints and its applications.

Guozhi Dong, Michael Hintermüller, Kostas Papafitsoros

CoRR, 2020

2019

Quantitative Magnetic Resonance Imaging: From Fingerprinting to Integrated Physics-Based Models.

Guozhi Dong, Michael Hintermüller, Kostas Papafitsoros

SIAM J. Imaging Sci., 2019

Superconvergence of gradient recovery on deviated discretized manifolds.

Guozhi Dong, Hailong Guo

CoRR, 2019

2017

Efficiency analysis of European Freight Villages: three peers for benchmarking.

Congcong Yang, Alfred Taudes, Guozhi Dong

Central Eur. J. Oper. Res., 2017

Nonlinear Flows for Displacement Correction and Applications in Tomography.

Guozhi Dong, Otmar Scherzer

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

2015

Infinite Dimensional Optimization Models and PDEs for Dejittering.

Guozhi Dong, Aniello Raffaele Patrone, Otmar Scherzer, Ozan Öktem

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

2013

Scale and Edge Detection with Topological Derivatives.

Guozhi Dong, Markus Grasmair, Sung Ha Kang, Otmar Scherzer

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013