Commutation error in reduced order modeling of fluid flows. - Birgul Koc; Muhammad Mohebujjaman; Changhong Mou; Traian Iliescu (Adv. Comput. Math., 2019)

Data-Driven Correction Reduced Order Models for the Quasi-Geostrophic Equations: A Numerical Investigation. - Changhong Mou; Honghu Liu; David R. Wells; Traian Iliescu (CoRR, 2019)

Data-Driven Variational Multiscale Reduced Order Models. - Changhong Mou; Birgul Koc; Omer San; Traian Iliescu (CoRR, 2020)

Reduced Order Models for the Quasi-Geostrophic Equations: A Brief Survey. - Changhong Mou; Zhu Wang 003; David R. Wells; Xuping Xie; Traian Iliescu (CoRR, 2020)

A Numerical Investigation of the Lengthscale in the Mixing-Length Reduced Order Model of the Turbulent Channel Flow. - Changhong Mou; Elia Merzari; Omer San; Traian Iliescu (CoRR, 2021)

A Multifidelity Ensemble Kalman Filter with Reduced Order Control Variates. - Andrey A. Popov; Changhong Mou; Adrian Sandu; Traian Iliescu (SIAM J. Sci. Comput., 2021)

Reduced Order Model Closures: A Brief Tutorial. - William Snyder; Changhong Mou; Honghu Liu; Omer San; Raffaella De Vita; Traian Iliescu (CoRR, 2022)

Stochastic Data-Driven Variational Multiscale Reduced Order Models. - Fei Lu 016; Changhong Mou; Honghu Liu; Traian Iliescu (CoRR, 2022)

An Energy-Based Lengthscale for Reduced Order Models of Turbulent Flows. - Changhong Mou; Elia Merzari; Omer San; Traian Iliescu (CoRR, 2022)

A Two-Level Galerkin Reduced Order Model for the Steady Navier-Stokes Equations. - Dylan Park; Changhong Mou; Honghu Liu; Adrian Sandu; Traian Iliescu (CoRR, 2022)

Verifiability of the Data-Driven Variational Multiscale Reduced Order Model. - Birgul Koc; Changhong Mou; Honghu Liu; Zhu Wang 003; Gianluigi Rozza; Traian Iliescu (J. Sci. Comput., 2022)

An efficient data-driven multiscale stochastic reduced order modeling framework for complex systems. - Changhong Mou; Nan Chen 004; Traian Iliescu (J. Comput. Phys., 2023)

A Stochastic Precipitating Quasi-Geostrophic Model. - Nan Chen; Changhong Mou; Leslie M. Smith; Yeyu Zhang (CoRR, 2024)

Energy-dissipative evolutionary Kolmogorov-Arnold networks for complex PDE systems. - Guang Lin 001; Changhong Mou; Jiahao Zhang 002 (J. Comput. Phys., 2025)

MoPINNEnKF: Iterative Model Inference using generic-PINN-based ensemble Kalman filter. - Binghang Lu; Changhong Mou; Guang Lin (CoRR, 2025)