1 citations · 2 across the 3 of their papers we have counts for
8 papers
Fast Community Detection in Dynamic and Heterogeneous Networks
Maoyu Zhang, Jingfei Zhang, Wenlin Dai
Dynamic heterogeneous networks describe the temporal evolution of interactions among nodes and edges of different types. While there is a rich literature on finding communities in…
Multi-task Learning for Gaussian Graphical Regressions with High Dimensional Covariates
Jingfei Zhang, Yi Li
Gaussian graphical regression is a powerful means that regresses the precision matrix of a Gaussian graphical model on covariates, permitting the numbers of the response variables…
Fast Network Community Detection with Profile-Pseudo Likelihood Methods
Jiangzhou Wang, Jingfei Zhang, Binghui Liu +2
The stochastic block model is one of the most studied network models for community detection. It is well-known that most algorithms proposed for fitting the stochastic block model…
Latent Network Structure Learning from High Dimensional Multivariate Point Processes
Biao Cai, Jingfei Zhang, Yongtao Guan
Learning the latent network structure from large scale multivariate point process data is an important task in a wide range of scientific and business applications. For instance, w…
Sparse Tensor Additive Regression
Botao Hao, Boxiang Wang, Pengyuan Wang +3
Tensors are becoming prevalent in modern applications such as medical imaging and digital marketing. In this paper, we propose a sparse tensor additive regression (STAR) that model…
Generalized Connectivity Matrix Response Regression with Applications in Brain Connectivity Studies
Jingfei Zhang, Will Wei Sun, Lexin Li
Multiple-subject network data are fast emerging in recent years, where a separate connectivity matrix is measured over a common set of nodes for each individual subject, along with…