most citedA Systematic Computational Framework for Practical Identifiability Analysis in Mathematical Models Arising from Biology

9 citations · 13 across the 4 of their papers we have counts for

collaborators

5 papers

q-bio.QM2026

Multiscale modeling of host-pathogen interactions and mucociliary clearance during non-tuberculous mycobacterial pulmonary infection

Jindong Wang, Kali Konstantinopoulos, Po-Chun Kuo +4

Non-tuberculous mycobacterial (NTM) infections are a clinical challenge in cystic fibrosis (CF), where impaired mucociliary clearance and altered mucus rheology promote bacterial c…

math.DS2026

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…

q-bio.QM2026

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…

cs.LG2025★ 4 cited

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…

q-bio.QM2025★ 9 cited

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…