8 citations · 9 across the 6 of their papers we have counts for
6 papers
Multilayer-Dynamic Network Clustering with Application to World Trade Data
Mengze Huang, Wenqing Su, Xiao Guo +2
International trade data, such as the FAO dataset, can be naturally represented as \emph{multilayer-dynamic networks}, where countries are nodes, trade relationships are edges, dif…
On the efficacy of higher-order spectral clustering under weighted stochastic block models
Xiao Guo, Hai Zhang, Xiangyu Chang
Higher-order structures of networks, namely, small subgraphs of networks (also called network motifs), are widely known to be crucial and essential to the organization of networks.…
FedPower: Privacy-Preserving Distributed Eigenspace Estimation
Xiao Guo, Xiang Li, Xiangyu Chang +2
Eigenspace estimation is fundamental in machine learning and statistics, which has found applications in PCA, dimension reduction, and clustering, among others. The modern machine…
Randomized spectral co-clustering for large-scale directed networks
Xiao Guo, Yixuan Qiu, Hai Zhang +1
Directed networks are broadly used to represent asymmetric relationships among units. Co-clustering aims to cluster the senders and receivers of directed networks simultaneously. I…
Randomized Spectral Clustering in Large-Scale Stochastic Block Models
Hai Zhang, Xiao Guo, Xiangyu Chang
Spectral clustering has been one of the widely used methods for community detection in networks. However, large-scale networks bring computational challenges to the eigenvalue deco…
Differentially Private Precision Matrix Estimation
Wenqing Su, Xiao Guo, Hai Zhang
In this paper, we study the problem of precision matrix estimation when the dataset contains sensitive information. In the differential privacy framework, we develop a differential…