Dongwei Ye

According to our database, Dongwei Ye authored at least 13 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

TransparentGS: Fast Inverse Rendering of Transparent Objects with Gaussians.

Letian Huang, Dongwei Ye, Jialin Dan, Chengzhi Tao, Huiwen Liu, Kun Zhou, Bo Ren, Yuanqi Li, Yanwen Guo, Jie Guo

ACM Trans. Graph., August, 2025

RONOM: Reduced-Order Neural Operator Modeling.

Sven Dummer, Dongwei Ye, Christoph Brune

CoRR, July, 2025

Towards scientific machine learning for granular material simulations - challenges and opportunities.

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

CoRR, April, 2025

2024

Data-driven reduced-order modelling for blood flow simulations with geometry-informed snapshots.

Dongwei Ye, Valeria V. Krzhizhanovskaya, Alfons G. Hoekstra

J. Comput. Phys., January, 2024

A parametric framework for kernel-based dynamic mode decomposition using deep learning.

Konstantinos Kevopoulos, Dongwei Ye

CoRR, 2024

Gaussian process learning of nonlinear dynamics.

Dongwei Ye, Mengwu Guo

Commun. Nonlinear Sci. Numer. Simul., 2024

2023

Inverse uncertainty quantification of a mechanical model of arterial tissue with surrogate modelling.

Salome Kakhaia, Pavel Zun, Dongwei Ye, Valeria V. Krzhizhanovskaya

Reliab. Eng. Syst. Saf., October, 2023

Novel View Synthesis Of Transparent Object From a Single Image.

Shizhe Zhou, Zezu Wang, Dongwei Ye

Comput. Graph. Forum, February, 2023

Bayesian approach to Gaussian process regression with uncertain inputs.

Dongwei Ye, Mengwu Guo

CoRR, 2023

2022

Inverse uncertainty quantification of a mechanical model of arterial tissue with surrogate modeling.

Salome Kakhaia, Pavel Zun, Dongwei Ye, Valeria V. Krzhizhanovskaya

CoRR, 2022

2021

Non-intrusive and semi-intrusive uncertainty quantification of a multiscale in-stent restenosis model.

Dongwei Ye, Anna Nikishova, Lourens E. Veen, Pavel Zun, Alfons G. Hoekstra

Reliab. Eng. Syst. Saf., 2021

Tutorial applications for Verification, Validation and Uncertainty Quantification using VECMA toolkit.

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

J. Comput. Sci., 2021

Uncertainty quantification of a 3D In-Stent Restenosis model with surrogate modelling.

Dongwei Ye, Pavel Zun, Valeria V. Krzhizhanovskaya, Alfons G. Hoekstra

CoRR, 2021