Yuan Chen

This publication record appears to span a wide mix of computational topics, including numerical methods for partial differential equations (immersed finite element and interior penalty methods), quantum and classical neural networks, optimization algorithms inspired by nature, and applied machine learning projects in medical imaging, language translation, and smart grids. Because the topics are so varied, this may reflect either a broad individual research agenda or multiple contributors sharing the same name; prospective students should verify which specific subarea and papers correspond to the advisor they are contacting. The work generally combines mathematical/computational methods with practical applications across engineering, medicine, and data science.

Publication output grew from a handful of papers per year in 2017-2019 to a peak of around 14 in 2023, followed by a slight decline in 2024-2025, indicating an overall growing trend over the decade with some recent slowing.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026