Assistant Professor, Xi'an Jiaotong University
2 papers at NeurIPS 2025
We propose a novel joint Velocity-Growth Flow Matching (VGFM) approach, driven by semi-relaxed optimal transport, for single-cell dynamics modeling.
This paper introduces a novel imaging knowledge-informed dynamic optimal transport framework incorporating imging physics into both transport cost and equation, enabling to learn from unpaired real data for prospective medical image reconstruction.