Guozhi Dong
Guozhi Dong
associated Professor
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Cited by
Cited by
Efficiency analysis of European Freight Villages: three peers for benchmarking
C Yang, A Taudes, G Dong
Central European Journal of Operations Research 25, 91-122, 2017
Convergence rates of first and higher order dynamics for solving linear ill-posed problems
R Boþ, G Dong, P Elbau, O Scherzer
Foundations of Computational Mathematics, 2022
Quantitative magnetic resonance imaging: From fingerprinting to integrated physics-based models
G Dong, M Hintermüller, K Papafitsoros
SIAM Journal on Imaging Sciences 12 (2), 927-971, 2019
Infinite dimensional optimization models and pdes for dejittering
G Dong, AR Patrone, O Scherzer, O Öktem
Scale Space and Variational Methods in Computer Vision: 5th International …, 2015
Optimization with learning-informed differential equation constraints and its applications
G Dong, M Hintermüller, K Papafitsoros
ESAIM: Control, Optimisation and Calculus of Variations 28, 3, 2022
A class of second-order geometric quasilinear hyperbolic PDEs and their application in imaging
G Dong, M Hintermüller, Y Zhang
SIAM Journal on Imaging Sciences, 2021
First-order conditions for the optimal control of learning-informed nonsmooth PDEs
G Dong, M Hintermüller, K Papafitsoros, K Völkner
arXiv preprint arXiv:2206.00297, 2022
Convergence of Tikhonov regularization for solving ill-posed operator equations with solutions defined on surfaces
G Dong, B Jüttler, O Scherzer, T Takacs
Inverse Problems and Imaging, 2017, 11(2): 221-246., 2017
Nonlinear flows for displacement correction and applications in tomography
G Dong, O Scherzer
Scale Space and Variational Methods in Computer Vision: 6th International …, 2017
Second-order flows for computing the ground states of rotating Bose-Einstein condensates
H Chen, G Dong, W Liu, Z Xie
Journal of Computational Physics 475, 111872, 2023
A parallel technique for multi-objective Bayesian global optimization: Using a batch selection of probability of improvement
K Yang, M Affenzeller, G Dong
Swarm and evolutionary computation 75, 101183, 2022
A descent algorithm for the optimal control of ReLU neural network informed PDEs based on approximate directional derivatives
G Dong, M Hintermüller, K Papafitsoros
arXiv preprint arXiv:2210.07900, 2022
Parametric polynomial preserving recovery on manifolds
G Dong, H Guo
SIAM Journal on Scientific Computing,, 2020
Discontinuous Galerkin methods for the Laplace-Beltrami operator on point cloud
G Dong, H Guo, Z Shi
arXiv preprint arXiv:2012.15433, 2020
Superconvergence of differential structure on manifolds and its applications
G Dong, H Guo
arXiv preprint arXiv:1910.14093, 2019
Data-driven methods for quantitative imaging
G Dong, M Flaschel, M Hintermüller, K Papafitsoros, C Sirotenko, ...
arXiv preprint arXiv:2404.07886, 2024
Accelerated gradient flows for large bending deformations of nonlinear plates
G Dong, H Guo, S Yang
arXiv preprint arXiv:2402.12152, 2024
Second-order flows for approaching stationary points of a class of non-convex energies via convex-splitting schemes
H Chen, G Dong, JA Iglesias, W Liu, Z Xie
arXiv preprint arXiv:2402.12173, 2024
Gradients of Acquisition Functions for Bi-objective Bayesian optimization
K Yang, S Liu, M Affenzeller, G Dong
2023 19th International Conference on Natural Computation, Fuzzy Systems and …, 2023
Geometric supercloseness on deviated discretized manifolds
G Dong, H Guo
arXiv preprint arXiv:1910.14093, 2019
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