Dongwei Ye

17 papers Journal 17
YearRankTypeTitle / Venue / Authors
2025 J jnl
PDE-constrained Gaussian process surrogate modeling with uncertain data locations.
Adv. Model. Simul. Eng. Sci.
Dongwei Ye, Weihao Yan, Christoph Brune, Mengwu Guo
2025 J jnl
RONOM: Reduced-Order Neural Operator Modeling.
CoRR
Sven Dummer, Dongwei Ye, Christoph Brune
2025 J jnl
Towards scientific machine learning for granular material simulations - challenges and opportunities.
CoRR
Marc Fransen, Andreas Fürst, Deepak Tunuguntla, Daniel N. Wilke, Benedikt Alkin, Daniel Barreto, Johannes Brandstetter, Miguel Angel Cabrera, Xinyan Fan, Mengwu Guo, Bram Kieskamp, Krishna Kumar, John Morrissey, Jonathan Nuttall, Jin Y. Ooi, Luisa Orozco, Stefanos-Aldo Papanicolopulos, Tongming Qu, Dingena Schott, Takayuki Shuku, WaiChing Sun, Thomas Weinhart, Dongwei Ye, Hongyang Cheng
2025 J jnl
TransparentGS: Fast Inverse Rendering of Transparent Objects with Gaussians.
CoRR
Letian Huang, Dongwei Ye, Jialin Dan, Chengzhi Tao, Huiwen Liu, Kun Zhou, Bo Ren, Yuanqi Li, Yanwen Guo, Jie Guo
2025 J jnl
TransparentGS: Fast Inverse Rendering of Transparent Objects with Gaussians.
ACM Trans. Graph.
Letian Huang, Dongwei Ye, Jialin Dan, Chengzhi Tao, Huiwen Liu, Kun Zhou, Bo Ren, Yuanqi Li, Yanwen Guo, Jie Guo
2024 J jnl
A parametric framework for kernel-based dynamic mode decomposition using deep learning.
CoRR
Konstantinos Kevopoulos, Dongwei Ye
2024 J jnl
Data-driven reduced-order modelling for blood flow simulations with geometry-informed snapshots.
J. Comput. Phys.
Dongwei Ye, Valeria V. Krzhizhanovskaya, Alfons G. Hoekstra
2024 J jnl
Gaussian process learning of nonlinear dynamics.
Commun. Nonlinear Sci. Numer. Simul.
Dongwei Ye, Mengwu Guo
2023 J jnl
Bayesian approach to Gaussian process regression with uncertain inputs.
CoRR
Dongwei Ye, Mengwu Guo
2023 J jnl
Data-driven reduced-order modelling for blood flow simulations with geometry-informed snapshots.
CoRR
Dongwei Ye, Valeria V. Krzhizhanovskaya, Alfons G. Hoekstra
2023 J jnl
Gaussian process learning of nonlinear dynamics.
CoRR
Dongwei Ye, Mengwu Guo
2023 J jnl
Inverse uncertainty quantification of a mechanical model of arterial tissue with surrogate modelling.
Reliab. Eng. Syst. Saf.
Salome Kakhaia, Pavel Zun, Dongwei Ye, Valeria V. Krzhizhanovskaya
2023 J jnl
Novel View Synthesis Of Transparent Object From a Single Image.
Comput. Graph. Forum
Shizhe Zhou, Zezu Wang, Dongwei Ye
2022 J jnl
Inverse uncertainty quantification of a mechanical model of arterial tissue with surrogate modeling.
CoRR
Salome Kakhaia, Pavel Zun, Dongwei Ye, Valeria V. Krzhizhanovskaya
2021 J jnl
Non-intrusive and semi-intrusive uncertainty quantification of a multiscale in-stent restenosis model.
Reliab. Eng. Syst. Saf.
Dongwei Ye, Anna Nikishova, Lourens E. Veen, Pavel Zun, Alfons G. Hoekstra
2021 J jnl
Tutorial applications for Verification, Validation and Uncertainty Quantification using VECMA toolkit.
J. Comput. Sci.
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
2021 J jnl
Uncertainty quantification of a 3D In-Stent Restenosis model with surrogate modelling.
CoRR
Dongwei Ye, Pavel Zun, Valeria V. Krzhizhanovskaya, Alfons G. Hoekstra