Changhong Mou
Scholar

Changhong Mou

Google Scholar ID: zkuksMQAAAAJ
Assistant Professor, Department of Mathematics & Statistics, Utah State University
Reduced Order ModelingData AssimilationMachine LearningComputational Mathematics
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Citations & Impact
All-time
Citations
350
 
H-index
10
 
i10-index
10
 
Publications
20
 
Co-authors
17
list available
Contact
No contact links provided.
Publications
7 items
Physics-Aligned Canonical Equivariant Fourier Neural Operator under Symmetry-Induced Shifts
2026
Cited
0
Muon-OGD: Muon-based Spectral Orthogonal Gradient Projection for LLM Continual Learning
2026
Cited
0
AdamFLIP: Adaptive Momentum Feedback Linearization Optimization for Hard Constrained PINN Training
2026
Cited
0
Neural-POD: A Plug-and-Play Neural Operator Framework for Infinite-Dimensional Functional Nonlinear Proper Orthogonal Decomposition
2026
Cited
0
PIP$^2$ Net: Physics-informed Partition Penalty Deep Operator Network
2025
Cited
0
An Evolutionary Multi-objective Optimization for Replica-Exchange-based Physics-informed Operator Learning Network
2025
Cited
0
MoPINNEnKF: Iterative Model Inference using generic-PINN-based ensemble Kalman filter
2025
Cited
0
Resume (English only)
Co-authors
17 total
Traian Iliescu
Traian Iliescu
Professor of Mathematics, Virginia Tech
Co-author 2
Co-author 2
Omer San
Omer San
Associate Professor, Mechanical and Aerospace Engineering, University of Tennessee
Co-author 4
Co-author 4
Nan Chen
Nan Chen
Associate Professor of Mathematics, University of Wisconsin-Madison
Adrian Sandu
Adrian Sandu
Professor of Computer Science, Virginia Tech
Co-author 7
Co-author 7
Andrey A. Popov
Andrey A. Popov
Assistant Professor, Information and Computer Sciences, University of Hawaiʻi at Mānoa