I'm a senior undergraduate in Engineering Mechanics at Zhejiang University, working under the guidance of
Prof. Shiying Xiong. My research lies at the intersection of
scientific machine learning and scientific computing, focusing on neural operators and computational methods
for PDEs, with applications to fluid systems, Schrödinger-type models, and reduced-order modeling.
A lightweight local-to-global framework learns PDE solution operators from compact local representations,
aiming for efficient prediction with improved stability and interpretability.
LatentDDM pairs pretrained local neural operators with a lightweight learnable composition module,
enabling efficient transfer to larger domains and previously unseen operating conditions.
Education
Zhejiang University
Sep 2023 – Jun 2027 (expected)
Bachelor's degree, Engineering Mechanics
Note: The following works are ongoing research projects. They may be under submission,
in drafting, or at the conceptual stage, and
should NOT be regarded as final published versions.
Animations are for illustration only and do not reproduce manuscript figures.
Authors with * are corresponding authors.
Exploring learned representations for complex flow systems, with a focus on preserving broad physical
structure while supporting efficient prediction across varying geometric settings.
Studying broad connections between organized flow patterns and localized climate behavior through idealized
computational experiments, with emphasis on qualitative mechanisms rather than site-specific forecasts.
Investigating data-driven descriptions of structured continuum systems, with an emphasis on linking general
physical principles, compact representations, and reliable computation.
World Gold Medal! (Top 0.1%), International College Student Engineering Mechanics Competition, Apr 2025
Chinese National Zhou Peiyuan Mechanics Competition, First Prize, Nov 2025
Zhejiang Provincial Government Scholarship, 2023–2024 and 2024–2025
China Aerospace Scholarship, 2024–2025
Chu Kochen Honors College Scholarship for Outstanding Students, 2024–2025
Mathematics Competition for College Students, First Prize, Nov 2023
Collaboration
I am open to any academic collaboration related to fluid dynamics, scientific
machine learning, neural operators, and physical modeling.
Please feel free to contact me!
Last updated: 2026.11.2 | Thanks to Jon Barron for the website template.