1 citations · 1 across the 3 of their papers we have counts for
4 papers
Optimal Personalized Subspace Learning for Multi-view Tensor Observations
Kangxiang Qin, Zeyu Li, Xinbing Kong +1
In this work, we model the observed multi-view tensors by decomposing the underlying signal in each view into two components: (i) the shared component that captures common dynamics…
Transfer Learning for Degree-Corrected Mixed Membership Network Models
Yong He, Kangxiang Qin, Haoran Tang
Statistical analysis of network data has attracted considerable attention in recent years, due to the rapid advancement of well-trained network models and the accessibility of larg…
Representational Transfer Learning for Matrix Completion
Yong He, Zeyu Li, Dong Liu +2
We propose to transfer representational knowledge from multiple sources to a target noisy matrix completion task by aggregating singular subspaces information. Under our representa…
Knowledge Transfer across Multiple Principal Component Analysis Studies
Zeyu Li, Kangxiang Qin, Yong He +2
Transfer learning has aroused great interest in the statistical community. In this article, we focus on knowledge transfer for unsupervised learning tasks in contrast to the superv…