1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Target-Guided Selective Reweighting for Physics-Informed Neural Network Inverse Problems: A Transfer Learning Approach
Qian Hu, Bin Fan, Yao Xiao +2
Physics-informed neural networks (PINNs) often face ill-posed optimization, competing losses, and parameter compensation in partial differential equation (PDE) inverse problems. Tr…
math.NA2023
Clustering based Multiple Anchors High-Dimensional Model Representation
Meixin Xiong, Liuhong Chen, Ju Ming +2
In this work, a cut high-dimensional model representation (cut-HDMR) expansion based on multiple anchors is constructed via the clustering method. Specifically, a set of random inp…
math.NA2022★ 1 cited
Pre-classification based stochastic reduced-order model for time-dependent complex system
Meixin Xiong, Liuhong Chen, Ju Ming +1
We propose a novel stochastic reduced-order model (SROM) for complex systems by combining clustering and classification strategies. Specifically, the distance and centroid of centr…