96 citations · 199 across the 12 of their papers we have counts for
12 papers
Enhancing Spectral Embedding through Robust and Flexible Knowledge Transfer in Electronic Health Records
Feiqing Huang, Zongqi Xia, Rong Ma +1
We propose a spectral-based, unsupervised representation learning framework to derive low-dimensional embeddings for clinical concepts and patients in rare disease cohorts from ele…
Statistical Inference for Genetic Relatedness Based on High-Dimensional Logistic Regression
Rong Ma, Zijian Guo, T. Tony Cai +1
This paper studies the problem of statistical inference for genetic relatedness between binary traits based on individual-level genome-wide association data. Specifically, under th…
Matrix Reordering for Noisy Disordered Matrices: Optimality and Computationally Efficient Algorithms
T. Tony Cai, Rong Ma
Motivated by applications in single-cell biology and metagenomics, we investigate the problem of matrix reordering based on a noisy disordered monotone Toeplitz matrix model. We es…
Statistical Inference for High-Dimensional Linear Regression with Blockwise Missing Data
Fei Xue, Rong Ma, Hongzhe Li
Blockwise missing data occurs frequently when we integrate multisource or multimodality data where different sources or modalities contain complementary information. In this paper,…
Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data
T. Tony Cai, Rong Ma
This paper investigates the theoretical foundations of the t-distributed stochastic neighbor embedding (t-SNE) algorithm, a popular nonlinear dimension reduction and data visualiza…
Estimation, Confidence Intervals, and Large-Scale Hypotheses Testing for High-Dimensional Mixed Linear Regression
Linjun Zhang, Rong Ma, T. Tony Cai +1
This paper studies the high-dimensional mixed linear regression (MLR) where the output variable comes from one of the two linear regression models with an unknown mixing proportion…
The Asymptotic Distribution of Modularity in Weighted Signed Networks
Rong Ma, Ian Barnett
Modularity is a popular metric for quantifying the degree of community structure within a network. The distribution of the largest eigenvalue of a network's edge weight or adjacenc…
Optimal Structured Principal Subspace Estimation: Metric Entropy and Minimax Rates
T. Tony Cai, Hongzhe Li, Rong Ma
Driven by a wide range of applications, many principal subspace estimation problems have been studied individually under different structural constraints. This paper presents a uni…
Optimal Estimation of Bacterial Growth Rates Based on Permuted Monotone Matrix
Rong Ma, T. Tony Cai, Hongzhe Li
Motivated by the problem of estimating the bacterial growth rates for genome assemblies from shotgun metagenomic data, we consider the permuted monotone matrix model , wher…
Optimal Permutation Recovery in Permuted Monotone Matrix Model
Rong Ma, T. Tony Cai, Hongzhe Li
Motivated by recent research on quantifying bacterial growth dynamics based on genome assemblies, we consider a permuted monotone matrix model , where the rows represent di…
Global and Simultaneous Hypothesis Testing for High-Dimensional Logistic Regression Models
Rong Ma, T. Tony Cai, Hongzhe Li
High-dimensional logistic regression is widely used in analyzing data with binary outcomes. In this paper, global testing and large-scale multiple testing for the regression coeffi…
Optimal Estimation of Simultaneous Signals Using Absolute Inner Product with Applications to Integrative Genomics
Rong Ma, T. Tony Cai, Hongzhe Li
Integrating the summary statistics from genome-wide association study (\textsc{gwas}) and expression quantitative trait loci (e\textsc{qtl}) data provides a powerful way of identif…