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ORCIDDongwei Ye
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2020 – today
- 2024
[j6]Dongwei Ye
, Mengwu Guo:
Gaussian process learning of nonlinear dynamics. Commun. Nonlinear Sci. Numer. Simul. 138: 108184 (2024)- [j5]Dongwei Ye, Valeria V. Krzhizhanovskaya, Alfons G. Hoekstra:
Data-driven reduced-order modelling for blood flow simulations with geometry-informed snapshots. J. Comput. Phys. 497: 112639 (2024) - [i6]Konstantinos Kevopoulos, Dongwei Ye:
A parametric framework for kernel-based dynamic mode decomposition using deep learning. CoRR abs/2409.16817 (2024) - 2023
- [j4]Shizhe Zhou, Zezu Wang, Dongwei Ye:
Novel View Synthesis Of Transparent Object From a Single Image. Comput. Graph. Forum 42(1): 21-32 (2023) - [j3]Salome Kakhaia, Pavel Zun, Dongwei Ye, Valeria V. Krzhizhanovskaya:
Inverse uncertainty quantification of a mechanical model of arterial tissue with surrogate modelling. Reliab. Eng. Syst. Saf. 238: 109393 (2023) - [i5]Dongwei Ye, Valeria V. Krzhizhanovskaya, Alfons G. Hoekstra:
Data-driven reduced-order modelling for blood flow simulations with geometry-informed snapshots. CoRR abs/2302.11006 (2023) - [i4]Dongwei Ye, Mengwu Guo:
Bayesian approach to Gaussian process regression with uncertain inputs. CoRR abs/2305.11586 (2023) - [i3]Dongwei Ye, Mengwu Guo:
Gaussian process learning of nonlinear dynamics. CoRR abs/2312.12193 (2023) - 2022
- [i2]Salome Kakhaia, Pavel Zun, Dongwei Ye, Valeria V. Krzhizhanovskaya:
Inverse uncertainty quantification of a mechanical model of arterial tissue with surrogate modeling. CoRR abs/2204.02167 (2022) - 2021
- [j2]Diana Suleimenova, Hamid Arabnejad, Wouter Edeling, David Coster, Onnie O. Luk, Jalal Lakhlili, Vytautas Jancauskas, Michal Kulczewski, Lourens E. Veen, Dongwei Ye, Pavel Zun, Valeria V. Krzhizhanovskaya, Alfons G. Hoekstra, Daan Crommelin, Peter V. Coveney, Derek Groen:
Tutorial applications for Verification, Validation and Uncertainty Quantification using VECMA toolkit. J. Comput. Sci. 53: 101402 (2021) - [j1]Dongwei Ye, Anna Nikishova, Lourens E. Veen, Pavel Zun, Alfons G. Hoekstra:
Non-intrusive and semi-intrusive uncertainty quantification of a multiscale in-stent restenosis model. Reliab. Eng. Syst. Saf. 214: 107734 (2021) - [i1]Dongwei Ye, Pavel Zun, Valeria V. Krzhizhanovskaya, Alfons G. Hoekstra:
Uncertainty quantification of a 3D In-Stent Restenosis model with surrogate modelling. CoRR abs/2111.06173 (2021)
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