Scholar
Dongwei Ye
Google Scholar ID: S26qxDwAAAAJ
Xi'an Jiaotong-Liverpool University
Citations & Impact
Citations
119
H-index
7
i10-index
5
Publications
13
Co-authors
6
list available
Publications
Resume (English only)
Academic Achievements
- Excited to share our latest work on RONOM: Reduced-Order Neural Operator Modeling!
- Our work on 'A parametric framework for kernel-based dynamic mode decomposition using deep learning', conducted by UvA computational science master student Konstantinos Kevopoulos, has been available on Arxiv. Congratulation, Kostas!
- Granted one of the National Growth Fund programme AiNed XS project on 'Geometric deep learing of shape variatgions in hemodynamic simulation'. Cheers!
- Presented and shared our latest work on 'Gaussian process learning for nonlinear dynamics' at the Scientific Machine Learning Workshop at CWI!
- Excited to share our latest publication: Data-driven reduced-order modelling for blood flow simulations with geometry-informed snapshots!
Research Experience
- Assistant Professor in Scientific Machine Learning at the Department of Applied Mathematics, Xi’an Jiaotong-Liverpool University.
Background
- His research interest includes but not limited to, reduced-order modelling, Gaussian process and kernel methods, uncertainty quantification, and physics-aware machine learning.
