5 papers
A Probabilistic Model for Zero-Inflated Count Tensors with Structured Latent Representations
Elena Tuzhilina, Yaoming Zhen
We propose a unified probabilistic framework for modeling high-dimensional count tensors with excess zeros. Such data arise naturally in a variety of applications, including single…
Probabilistic PCA on tensors
Yaoming Zhen, Piotr Zwiernik
In probabilistic principal component analysis (PPCA), an observed vector is modeled as a linear transformation of a low-dimensional Gaussian factor plus isotropic noise. We general…
Network-based Neighborhood regression
Yaoming Zhen, Jin-Hong Du
Given the ubiquity of modularity in biological systems, module-level regulation analysis is vital for understanding biological systems across various levels and their dynamics. Cur…
Consistent community detection in multi-layer networks with heterogeneous differential privacy
Yaoming Zhen, Shirong Xu, Junhui Wang
As network data has become increasingly prevalent, a substantial amount of attention has been paid to the privacy issue in publishing network data. One of the critical challenges f…
Tensorized Hypergraph Neural Networks
Maolin Wang, Yaoming Zhen, Yu Pan +5
Hypergraph neural networks (HGNN) have recently become attractive and received significant attention due to their excellent performance in various domains. However, most existing H…