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ORCIDGuozhi Dong
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2020 – today
- 2024
[j8]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): 2314-2349 (2024)- [i9]Guozhi Dong, Hailong Guo, Shuo Yang:
Accelerated gradient flows for large bending deformations of nonlinear plates. CoRR abs/2402.12152 (2024) - [i8]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 abs/2402.12173 (2024) - [i7]Guozhi Dong, Hailong Guo, Chengrun Jiang, Zuoqiang Shi:
Gradient enhanced ADMM Algorithm for dynamic optimal transport on surfaces. CoRR abs/2406.16285 (2024) - [i6]Guozhi Dong, Zikang Gong, Ziqing Xie, Shuo Yang:
BDF schemes for accelerated gradient flows in projection-free approximation of nonconvex constrained variational minimization. CoRR abs/2409.14670 (2024) - 2023
- [j7]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: 111872 (2023) - [c4]Kaifeng Yang, Sixuan Liu, Michael Affenzeller, Guozhi Dong:
Gradients of Acquisition Functions for Bi-objective Bayesian optimization. ICNC-FSKD 2023: 1-9 - 2022
- [j6]Radu Ioan 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): 1567-1629 (2022) - [j5]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: 101183 (2022) - [i5]Haifan Chen, Guozhi Dong, Wei Liu, Ziqing Xie:
Second-order flows for computing the ground states of rotating Bose-Einstein condensates. CoRR abs/2205.00805 (2022) - [i4]Kaifeng Yang, Guozhi Dong, Michael Affenzeller:
A Parallel Technique for Multi-objective Bayesian Global Optimization: Using a Batch Selection of Probability of Improvement. CoRR abs/2208.03685 (2022) - 2021
- [j4]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): 645-688 (2021) - 2020
- [j3]Guozhi Dong, Hailong Guo:
Parametric Polynomial Preserving Recovery on Manifolds. SIAM J. Sci. Comput. 42(3): A1885-A1912 (2020) - [i3]Guozhi Dong, Michael Hintermüller, Kostas Papafitsoros:
Optimization with learning-informed differential equation constraints and its applications. CoRR abs/2008.10893 (2020) - [i2]Guozhi Dong, Hailong Guo, Zuoqiang Shi:
Discontinuous Galerkin methods for the Laplace-Beltrami operator on point cloud. CoRR abs/2012.15433 (2020)
2010 – 2019
- 2019
- [j2]Guozhi Dong, Michael Hintermüller, Kostas Papafitsoros:
Quantitative Magnetic Resonance Imaging: From Fingerprinting to Integrated Physics-Based Models. SIAM J. Imaging Sci. 12(2): 927-971 (2019) - [i1]Guozhi Dong, Hailong Guo:
Superconvergence of gradient recovery on deviated discretized manifolds. CoRR abs/1910.14093 (2019) - 2017
- [j1]Congcong Yang, Alfred Taudes, Guozhi Dong:
Efficiency analysis of European Freight Villages: three peers for benchmarking. Central Eur. J. Oper. Res. 25(1): 91-122 (2017) - [c3]Guozhi Dong, Otmar Scherzer:
Nonlinear Flows for Displacement Correction and Applications in Tomography. SSVM 2017: 283-294 - 2015
- [c2]Guozhi Dong, Aniello Raffaele Patrone, Otmar Scherzer, Ozan Öktem:
Infinite Dimensional Optimization Models and PDEs for Dejittering. SSVM 2015: 678-689 - 2013
- [c1]Guozhi Dong, Markus Grasmair, Sung Ha Kang, Otmar Scherzer:
Scale and Edge Detection with Topological Derivatives. SSVM 2013: 404-415
Coauthor Index
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