9 citations · 13 across the 4 of their papers we have counts for
4 papers
Learning the Energy Landscapes of Dynamical Systems via Energetic Variational Optimal Transport under Data Quantity--Quality Trade-offs
Shun Wang, Chun Liu, Wenrui Hao
Dynamic optimal transport unifies optimal transport, fluid mechanics, and gradient-flow theory within a continuous dynamical framework, offering a geometry-aware language for appli…
Parameter Identifiability beyond the Fisher Information Approximation in Data-Driven Modeling
Shun Wang, Wenrui Hao
Data-driven mechanistic modeling of high-dimensional biological data requires rigorous parameter identifiability. Profile likelihood entails costly repeated optimization, while Fis…
ZENN: A Thermodynamics-Inspired Computational Framework for Heterogeneous Data-Driven Modeling
Shun Wang, Shun-Li Shang, Zi-Kui Liu +1
Traditional entropy-based methods - such as cross-entropy loss in classification problems - have long been essential tools for representing the information uncertainty and physical…
A Systematic Computational Framework for Practical Identifiability Analysis in Mathematical Models Arising from Biology
Shun Wang, Wenrui Hao
Practical identifiability is a critical concern in data-driven modeling of mathematical systems. In this paper, we propose a novel framework for practical identifiability analysis…