Changhong Mou - RankMe

24 papers Journal 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Neural-POD: A Plug-and-Play Neural Operator Framework for Infinite-Dimensional Functional Nonlinear Proper Orthogonal Decomposition. CoRR Changhong Mou, Binghang Lu, Guang Lin
2026	J	`jnl`	iPINNER: An iterative physics-informed neural network with ensemble Kalman filter. J. Comput. Phys. Binghang Lu, Changhong Mou, Guang Lin
2025	J	`jnl`	An Evolutionary Multi-objective Optimization for Replica-Exchange-based Physics-informed Operator Learning Network. CoRR Binghang Lu, Changhong Mou, Guang Lin
2025	J	`jnl`	Energy-Dissipative Evolutionary Kolmogorov-Arnold Networks for Complex PDE Systems. CoRR Guang Lin, Changhong Mou, Jiahao Zhang
2025	J	`jnl`	Energy-dissipative evolutionary Kolmogorov-Arnold networks for complex PDE systems. J. Comput. Phys. Guang Lin, Changhong Mou, Jiahao Zhang
2025	J	`jnl`	MoPINNEnKF: Iterative Model Inference using generic-PINN-based ensemble Kalman filter. CoRR Binghang Lu, Changhong Mou, Guang Lin
2025	J	`jnl`	PAS-Net: Physics-informed Adaptive Scale Deep Operator Network. CoRR Changhong Mou, Yeyu Zhang, Xuewen Zhu, Qiao Zhuang
2025	J	`jnl`	PIP CoRR Hongjin Mi, Huiqiang Lun, Changhong Mou, Yeyu Zhang
2024	J	`jnl`	A Stochastic Precipitating Quasi-Geostrophic Model. CoRR Nan Chen, Changhong Mou, Leslie M. Smith, Yeyu Zhang
2023	J	`jnl`	An efficient data-driven multiscale stochastic reduced order modeling framework for complex systems. J. Comput. Phys. Changhong Mou, Nan Chen, Traian Iliescu
2022	J	`jnl`	A Two-Level Galerkin Reduced Order Model for the Steady Navier-Stokes Equations. CoRR Dylan Park, Changhong Mou, Honghu Liu, Adrian Sandu, Traian Iliescu
2022	J	`jnl`	An Efficient Data-Driven Multiscale Stochastic Reduced Order Modeling Framework for Complex Systems. CoRR Changhong Mou, Nan Chen, Traian Iliescu
2022	J	`jnl`	An Energy-Based Lengthscale for Reduced Order Models of Turbulent Flows. CoRR Changhong Mou, Elia Merzari, Omer San, Traian Iliescu
2022	J	`jnl`	Reduced Order Model Closures: A Brief Tutorial. CoRR William Snyder, Changhong Mou, Honghu Liu, Omer San, Raffaella De Vita, Traian Iliescu
2022	J	`jnl`	Stochastic Data-Driven Variational Multiscale Reduced Order Models. CoRR Fei Lu, Changhong Mou, Honghu Liu, Traian Iliescu
2022	J	`jnl`	Verifiability of the Data-Driven Variational Multiscale Reduced Order Model. J. Sci. Comput. Birgul Koc, Changhong Mou, Honghu Liu, Zhu Wang, Gianluigi Rozza, Traian Iliescu
2021	J	`jnl`	A Multifidelity Ensemble Kalman Filter with Reduced Order Control Variates. SIAM J. Sci. Comput. Andrey A. Popov, Changhong Mou, Adrian Sandu, Traian Iliescu
2021	J	`jnl`	A Numerical Investigation of the Lengthscale in the Mixing-Length Reduced Order Model of the Turbulent Channel Flow. CoRR Changhong Mou, Elia Merzari, Omer San, Traian Iliescu
2021	J	`jnl`	Verifiability of the Data-Driven Variational Multiscale Reduced Order Model. CoRR Birgul Koc, Changhong Mou, Honghu Liu, Zhu Wang, Gianluigi Rozza, Traian Iliescu
2020	J	`jnl`	A Multifidelity Ensemble Kalman Filter with Reduced Order Control Variates. CoRR Andrey A. Popov, Changhong Mou, Traian Iliescu, Adrian Sandu
2020	J	`jnl`	Data-Driven Variational Multiscale Reduced Order Models. CoRR Changhong Mou, Birgul Koc, Omer San, Traian Iliescu
2020	J	`jnl`	Reduced Order Models for the Quasi-Geostrophic Equations: A Brief Survey. CoRR Changhong Mou, Zhu Wang, David R. Wells, Xuping Xie, Traian Iliescu
2019	J	`jnl`	Commutation error in reduced order modeling of fluid flows. Adv. Comput. Math. Birgul Koc, Muhammad Mohebujjaman, Changhong Mou, Traian Iliescu
2019	J	`jnl`	Data-Driven Correction Reduced Order Models for the Quasi-Geostrophic Equations: A Numerical Investigation. CoRR Changhong Mou, Honghu Liu, David R. Wells, Traian Iliescu