10 citations · 24 across the 10 of their papers we have counts for
11 papers
Nonparametric undirected graphical model selection using diffusion models
Hyeok Kyu Kwon, Myeonggu Kang, Minwoo Chae +1
Undirected graphical models provide a fundamental framework for representing conditional independence structures among high-dimensional random variables. While undirected graphical…
Fixed-order PCA: Theory for Overestimated Factor Models
Yuan Liao, Xin Tong, Wanjie Wang +1
We develop asymptotic theory for principal component analysis (PCA) of a high-dimensional factor model in which the working dimension is fixed and only required to satisfy $R \…
Network-Adjusted Covariates for Community Detection
Yaofang Hu, Wanjie Wang
Community detection is a crucial task in network analysis that can be significantly improved by incorporating subject-level information, i.e. covariates. However, current methods o…
Uniform error bound for PCA matrix denoising
Xin T. Tong, Wanjie Wang, Yuguan Wang
Principal component analysis (PCA) is a simple and popular tool for processing high-dimensional data. We investigate its effectiveness for matrix denoising. We consider the clean d…
Covariate-Assisted Community Detection on Sparse Networks
Yaofang Hu, Wanjie Wang
Community detection is an important problem when processing network data. Traditionally, this is done by exploiting the connections between nodes, but connections can be too sparse…
Truncated Rank-Based Tests for Two-Part Models with Excessive Zeros and Applications to Microbiome Data
Wanjie Wang, Eric Z. Chen, Hongzhe Li
High-throughput sequencing technology allows us to test the compositional difference of bacteria in different populations. One important feature of human microbiome data is that it…
High Dimensional Quadratic Discriminant Analysis: Optimality and Phase Transitions
Wanjie Wang, Jingjing Wu, Zhigang Yao
Consider a two-class classification problem where we observe samples for i = 1, ..., n, and in {0, 1}. Given , is assumed to follow…
Graph matching beyond perfectly-overlapping Erdős--Rényi random graphs
Yaofang Hu, Wanjie Wang, Yi Yu
Graph matching is a fruitful area in terms of both algorithms and theories. In this paper, we exploit the degree information, which was previously used only in noiseless graphs and…
Optimal Estimation of Co-heritability in High-dimensional Linear Models
Zijian Guo, Wanjie Wang, T. Tony Cai +1
Co-heritability is an important concept that characterizes the genetic associations within pairs of quantitative traits. There has been significant recent interest in estimating th…
Phase Transitions for High Dimensional Clustering and Related Problems
Jiashun Jin, Zheng Tracy Ke, Wanjie Wang
Consider a two-class clustering problem where we observe , , . The feature vector is unknown bu…
Influential Feature PCA for high dimensional clustering
Jiashun Jin, Wanjie Wang
We consider a clustering problem where we observe feature vectors , , from possible classes. The class labels are unknown and the main interes…