1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.GR2024
3DMeshNet: A Three-Dimensional Differential Neural Network for Structured Mesh Generation
Jiaming Peng, Xinhai Chen, Jie Liu
Mesh generation is a crucial step in numerical simulations, significantly impacting simulation accuracy and efficiency. However, generating meshes remains time-consuming and requir…
cs.LG2024★ 1 cited
More Than Routing: Joint GPS and Route Modeling for Refine Trajectory Representation Learning
Zhipeng Ma, Zheyan Tu, Xinhai Chen +6
Trajectory representation learning plays a pivotal role in supporting various downstream tasks. Traditional methods in order to filter the noise in GPS trajectories tend to focus o…
cs.LG2023★ 1 cited
Auxiliary-Tasks Learning for Physics-Informed Neural Network-Based Partial Differential Equations Solving
Junjun Yan, Xinhai Chen, Zhichao Wang +2
Physics-informed neural networks (PINNs) have emerged as promising surrogate modes for solving partial differential equations (PDEs). Their effectiveness lies in the ability to cap…