Guozhi Dong

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 19

Top Topics

Global Optimization

Infinite Dimensional

Magnetic Resonance Imaging

Top Venues

SIAM J. Imaging Sci.

Publications

Guozhi Dong, Hailong Guo, Shuo Yang
Accelerated gradient flows for large bending deformations of nonlinear plates. CoRR (2024)
Guozhi Dong, Hailong Guo, Chengrun Jiang, Zuoqiang Shi
Gradient enhanced ADMM Algorithm for dynamic optimal transport on surfaces. CoRR (2024)
Haifan Chen, Guozhi Dong, José A. Iglesias, Wei Liu, Ziqing Xie
Second-order flows for approaching stationary points of a class of non-convex energies via convex-splitting schemes. CoRR (2024)
Guozhi Dong, Michael Hintermüller, Kostas Papafitsoros
A Descent Algorithm for the Optimal Control of ReLU Neural Network Informed PDEs Based on Approximate Directional Derivatives. SIAM J. Optim. 34 (3) (2024)
Haifan Chen, Guozhi Dong, Wei Liu, Ziqing Xie
Second-order flows for computing the ground states of rotating Bose-Einstein condensates. J. Comput. Phys. 475 (2023)
Kaifeng Yang, Sixuan Liu, Michael Affenzeller, Guozhi Dong
Gradients of Acquisition Functions for Bi-objective Bayesian optimization. ICNC-FSKD (2023)
Kaifeng Yang, Guozhi Dong, Michael Affenzeller
A Parallel Technique for Multi-objective Bayesian Global Optimization: Using a Batch Selection of Probability of Improvement. CoRR (2022)
Haifan Chen, Guozhi Dong, Wei Liu, Ziqing Xie
Second-order flows for computing the ground states of rotating Bose-Einstein condensates. CoRR (2022)
Kaifeng Yang, Michael Affenzeller, Guozhi Dong
A parallel technique for multi-objective Bayesian global optimization: Using a batch selection of probability of improvement. Swarm Evol. Comput. 75 (2022)
Radu Bot, Guozhi Dong, Peter Elbau, Otmar Scherzer
Convergence Rates of First- and Higher-Order Dynamics for Solving Linear Ill-Posed Problems. Found. Comput. Math. 22 (5) (2022)
Guozhi Dong, Michael Hintermueller, Ye Zhang
A Class of Second-Order Geometric Quasilinear Hyperbolic PDEs and Their Application in Imaging. SIAM J. Imaging Sci. 14 (2) (2021)
Guozhi Dong, Hailong Guo, Zuoqiang Shi
Discontinuous Galerkin methods for the Laplace-Beltrami operator on point cloud. CoRR (2020)
Guozhi Dong, Hailong Guo
Parametric Polynomial Preserving Recovery on Manifolds. SIAM J. Sci. Comput. 42 (3) (2020)
Guozhi Dong, Michael Hintermüller, Kostas Papafitsoros
Optimization with learning-informed differential equation constraints and its applications. CoRR (2020)
Guozhi Dong, Michael Hintermüller, Kostas Papafitsoros
Quantitative Magnetic Resonance Imaging: From Fingerprinting to Integrated Physics-Based Models. SIAM J. Imaging Sci. 12 (2) (2019)
Guozhi Dong, Hailong Guo
Superconvergence of gradient recovery on deviated discretized manifolds. CoRR (2019)
Guozhi Dong, Otmar Scherzer
Nonlinear Flows for Displacement Correction and Applications in Tomography. SSVM (2017)
Congcong Yang, Alfred Taudes, Guozhi Dong
Efficiency analysis of European Freight Villages: three peers for benchmarking. Central Eur. J. Oper. Res. 25 (1) (2017)
Guozhi Dong, Aniello Raffaele Patrone, Otmar Scherzer, Ozan Öktem
Infinite Dimensional Optimization Models and PDEs for Dejittering. SSVM (2015)
Guozhi Dong, Markus Grasmair, Sung Ha Kang, Otmar Scherzer
Scale and Edge Detection with Topological Derivatives. SSVM (2013)