41 citations · 77 across the 10 of their papers we have counts for
4 papers · 1 filter
LordNet: An Efficient Neural Network for Learning to Solve Parametric Partial Differential Equations without Simulated Data
Xinquan Huang, Wenlei Shi, Xiaotian Gao +5
Neural operators, as a powerful approximation to the non-linear operators between infinite-dimensional function spaces, have proved to be promising in accelerating the solution of…
Dynamic Relation Discovery and Utilization in Multi-Entity Time Series Forecasting
Lin Huang, Lijun Wu, Jia Zhang +2
Time series forecasting plays a key role in a variety of domains. In a lot of real-world scenarios, there exist multiple forecasting entities (e.g. power station in the solar syste…
AF: Adaptive Focus Framework for Aerial Imagery Segmentation
Lin Huang, Qiyuan Dong, Lijun Wu +3
As a specific semantic segmentation task, aerial imagery segmentation has been widely employed in high spatial resolution (HSR) remote sensing images understanding. Besides common…
Learning Physics-Informed Neural Networks without Stacked Back-propagation
Di He, Shanda Li, Wenlei Shi +5
Physics-Informed Neural Network (PINN) has become a commonly used machine learning approach to solve partial differential equations (PDE). But, facing high-dimensional secondorder…