17 citations · 17 across the 8 of their papers we have counts for
9 papers
Exact Community Recovery in Bipartite Networks
Huan Qing
Community detection in bipartite networks is a fundamental problem in modern data analysis, with applications in recommendation systems, biological networks, and social network ana…
A Subsampled Davis-Kahan Bound for Large-Scale Eigenspace Estimation
Huan Qing
The Davis-Kahan theorem is a fundamental tool in spectral analysis, providing quantitative control over the distance between the eigenspaces of a symmetric matrix and its perturbat…
Fast estimation of Gaussian mixture components via centering and singular value thresholding
Huan Qing
Estimating the number of components is a fundamental challenge in unsupervised learning, particularly when dealing with high-dimensional data with many components or severely imbal…
Individual-heterogeneous sub-Gaussian Mixture Models
Huan Qing
The classical Gaussian mixture model assumes homogeneity within clusters, an assumption that often fails in real-world data where observations naturally exhibit varying scales or i…
Community detection in multi-layer networks by regularized debiased spectral clustering
Huan Qing
Community detection is a crucial problem in the analysis of multi-layer networks. While regularized spectral clustering methods using the classical regularized Laplacian matrix hav…
Discovering overlapping communities in multi-layer directed networks
Huan Qing
Community detection in multi-layer undirected networks has attracted considerable attention in recent years. However, multi-layer directed networks are common in the real world, an…
Community detection in multi-layer bipartite networks
Huan Qing
The problem of community detection in multi-layer undirected networks has received considerable attention in recent years. However, practical scenarios often involve multi-layer bi…
Estimating mixed memberships in multi-layer networks
Huan Qing
Community detection in multi-layer networks has emerged as a crucial area of modern network analysis. However, conventional approaches often assume that nodes belong exclusively to…
Community detection by spectral methods in multi-layer networks
Huan Qing
Community detection in multi-layer networks is a crucial problem in network analysis. In this paper, we analyze the performance of two spectral clustering algorithms for community…