90 citations · 91 across the 5 of their papers we have counts for
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cs.CE2026
A physics-enhanced bidirectional multi-order graph fusion network for interpretable bearing remaining useful life prediction
Haoxuan Zhang, Dinghao Yang, Kangning Zhang +4
Accurate prediction of bearing remaining useful life (RUL) is a key challenge for intelligent maintenance. Although deep learning-based prediction methods have showed effectiveness…
cs.CE2025
PINN-MG: A physics-informed neural network for mesh generation
Min Wang, Haisheng Li, Haoxuan Zhang +2
In numerical simulation, structured mesh generation often requires a lot of time and manpower investment. The general scheme for structured quad mesh generation is to find a mappin…
cs.CE2023★ 1 cited
MQENet: A Mesh Quality Evaluation Neural Network Based on Dynamic Graph Attention
Haoxuan Zhang, Haisheng Li, Nan Li +1
With the development of computational fluid dynamics, the requirements for the fluid simulation accuracy in industrial applications have also increased. The quality of the generate…