Uncertainty quantification of a 3D In-Stent Restenosis model with surrogate modelling. - Dongwei Ye; Pavel Zun; Valeria V. Krzhizhanovskaya; Alfons G. Hoekstra (CoRR, 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; et al. (J. Comput. Sci., 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)

Inverse uncertainty quantification of a mechanical model of arterial tissue with surrogate modeling. - Salome Kakhaia; Pavel Zun; Dongwei Ye; Valeria V. Krzhizhanovskaya (CoRR, 2022)

Bayesian approach to Gaussian process regression with uncertain inputs. - Dongwei Ye; Mengwu Guo (CoRR, 2023)

Novel View Synthesis Of Transparent Object From a Single Image. - Shizhe Zhou; Zezu Wang; Dongwei Ye (Comput. Graph. Forum, 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., 2023)

Gaussian process learning of nonlinear dynamics. - Dongwei Ye; Mengwu Guo (Commun. Nonlinear Sci. Numer. Simul., 2024)

A parametric framework for kernel-based dynamic mode decomposition using deep learning. - Konstantinos Kevopoulos; Dongwei Ye (CoRR, 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., 2024)

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; et al. (CoRR, 2025)

RONOM: Reduced-Order Neural Operator Modeling. - Sven Dummer; Dongwei Ye; Christoph Brune (CoRR, 2025)

TransparentGS: Fast Inverse Rendering of Transparent Objects with Gaussians. - Letian Huang; Dongwei Ye; Jialin Dan; Chengzhi Tao; Huiwen Liu; Kun Zhou 001; Bo Ren 003; Yuanqi Li; Yanwen Guo 001; Jie Guo 001 (ACM Trans. Graph., 2025)