11 citations · 18 across the 3 of their papers we have counts for
5 papers · 1 filter
A Novel Adaptive Causal Sampling Method for Physics-Informed Neural Networks
Jia Guo, Haifeng Wang, Chenping Hou
Physics-Informed Neural Networks (PINNs) have become a kind of attractive machine learning method for obtaining solutions of partial differential equations (PDEs). Training PINNs c…
Latent Complete Row Space Recovery for Multi-view Subspace Clustering
Hong Tao, Chenping Hou, Yuhua Qian +2
Multi-view subspace clustering has been applied to applications such as image processing and video surveillance, and has attracted increasing attention. Most existing methods learn…
Joint Embedding Learning and Low-Rank Approximation: A Framework for Incomplete Multi-view Learning
Hong Tao, Chenping Hou, Dongyun Yi +2
In real-world applications, not all instances in multi-view data are fully represented. To deal with incomplete data, Incomplete Multi-view Learning (IML) rises. In this paper, we…
Secure Classification With Augmented Features
Chenping Hou, Ling-Li Zeng, Dewen Hu
With the evolution of data collection ways, it is possible to produce abundant data described by multiple feature sets. Previous studies show that including more features does not…
Effective Discriminative Feature Selection with Non-trivial Solutions
Hong Tao, Chenping Hou, Feiping Nie +2
Feature selection and feature transformation, the two main ways to reduce dimensionality, are often presented separately. In this paper, a feature selection method is proposed by c…