research
∙
08/03/2023
Is your data alignable? Principled and interpretable alignability testing and integration of single-cell data
Single-cell data integration can provide a comprehensive molecular view ...
share
research
∙
10/25/2022
A Spectral Method for Assessing and Combining Multiple Data Visualizations
Dimension reduction and data visualization aim to project a high-dimensi...
research
∙
02/28/2022
Learning Low-Dimensional Nonlinear Structures from High-Dimensional Noisy Data: An Integral Operator Approach
We propose a kernel-spectral embedding algorithm for learning low-dimens...
research
∙
02/21/2022
Statistical Inference for Genetic Relatedness Based on High-Dimensional Logistic Regression
This paper studies the problem of statistical inference for genetic rela...
research
∙
02/04/2022
CFP-SLAM: A Real-time Visual SLAM Based on Coarse-to-Fine Probability in Dynamic Environments
The dynamic factors in the environment will lead to the decline of camer...
research
∙
01/17/2022
Matrix Reordering for Noisy Disordered Matrices: Optimality and Computationally Efficient Algorithms
Motivated by applications in single-cell biology and metagenomics, we co...
research
∙
06/07/2021
Semi-Supervised Statistical Inference for High-Dimensional Linear Regression with Blockwise Missing Data
Blockwise missing data occurs frequently when we integrate multisource o...
research
∙
05/16/2021
Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data
This study investigates the theoretical foundations of t-distributed sto...
research
∙
11/06/2020
Estimation, Confidence Intervals, and Large-Scale Hypotheses Testing for High-Dimensional Mixed Linear Regression
This paper studies the high-dimensional mixed linear regression (MLR) wh...
research
∙
04/09/2020
The Asymptotic Distribution of Modularity in Weighted Signed Networks
Modularity is a popular metric for quantifying the degree of community s...
research
∙
02/18/2020
Optimal Structured Principal Subspace Estimation: Metric Entropy and Minimax Rates
Driven by a wide range of applications, many principal subspace estimati...
research
∙
11/28/2019
Optimal and Adaptive Estimation of Extreme Values in the Permuted Monotone Matrix Model
Motivated by applications in metagenomics, we consider the permuted mono...
research
∙
11/24/2019
Optimal Permutation Recovery in Permuted Monotone Matrix Model
Motivated by recent research on quantifying bacterial growth dynamics ba...
research
∙
05/17/2018
Global and Simultaneous Hypothesis Testing for High-Dimensional Logistic Regression Models
High-dimensional logistic regression is widely used in analyzing data wi...
research
∙
01/24/2018
Optimal Estimation of Simultaneous Signals Using Absolute Inner Product with Applications to Integrative Genomics
Integrating the summary statistics from genome-wide association study (G...
research
∙
12/11/2017