68 citations · 159 across the 8 of their papers we have counts for
8 papers
Fast Second-Order Online Kernel Learning through Incremental Matrix Sketching and Decomposition
Dongxie Wen, Xiao Zhang, Zhewei Wei +3
Online Kernel Learning (OKL) has attracted considerable research interest due to its promising predictive performance in streaming environments. Second-order approaches are particu…
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…
Adaptive weighted approach for high-dimensional statistical learning and inference
Jun Lu, Xiaoyu Mao, Mengyao Li +1
We propose a new weighted average estimator for the high dimensional parameters under the distributed learning system, in which the weight assigned to each coordinate is precisely…
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…