90 citations · 91 across the 5 of their papers we have counts for
6 papers
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…
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…
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…
Efficient Light Field Reconstruction via Spatio-Angular Dense Network
Zexi Hu, Henry Wing Fung Yeung, Xiaoming Chen +2
As an image sensing instrument, light field images can supply extra angular information compared with monocular images and have facilitated a wide range of measurement applications…
A review on vision-based analysis for automatic dietary assessment
Wei Wang, Weiqing Min, Tianhao Li +3
Background: Maintaining a healthy diet is vital to avoid health-related issues, e.g., undernutrition, obesity and many non-communicable diseases. An indispensable part of the healt…
Optimizing seed inputs in fuzzing with machine learning
Liang Cheng, Yang Zhang, Yi Zhang +4
The success of a fuzzing campaign is heavily depending on the quality of seed inputs used for test generation. It is however challenging to compose a corpus of seed inputs that ena…