PhD student, Peking University
3 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.
Var-RUOT is a new framework improving RUOT for recovering dynamics from high-dimensional snapshots. It incorporates first-order optimality conditions, achieving better performance on single-cell datasets.
We introduce CytoBridge, a new deep learning approach that models unbalanced stochastic cellular dynamics and interactions from snapshot data.
