Publications
Published and accepted papers. Manuscripts and preprints appear under Research by Topic.
2026
Subspace Decompositions for Association Structure Learning in Multivariate Categorical Data Analysis
Hongru Zhao, Aaron J. Molstad and Adam J. Rothman
Distributed Algorithms for High-Dimensional Statistical Inference and Structure Learning with Heterogeneous Data
Hongru Zhao and Xiaotong Shen
Testing models for angular power spectra: A distribution-free approach
Sara Algeri, Xiangyu Zhang, Erik Floden, Hongru Zhao, Galin L. Jones, Vuk Mandic and Jesse Miller
Validating Angular Power Spectral Models for the Stochastic Gravitational-Wave Background Without Distributional Assumptions
Xiangyu Zhang, Erik Floden, Hongru Zhao, Sara Algeri, Galin Jones, Vuk Mandic and Jesse Miller
Microstructure-sensitive modeling of foam concrete based on pore-scale effect quantification and nonlinear assessment of its multifunctional performance
Zhibo Zhang, Bixiong Li, Zhiwen Wang, Lianghui Li, Qingshun Nong and Hongru Zhao
2025
Globally-Optimal Greedy Active Sequential Estimation
Xiaoou Li and Hongru Zhao
2024
Convergence Analysis and Trajectory Comparison of Gradient Descent for Overparameterized Deep Linear Networks
Hongru Zhao and Jinchao Xu
Exponential stability of the linear KdV-BBM equation
Kangsheng Liu, Zhuangyi Liu and Hongru Zhao
2021
Limiting empirical spectral distribution for products of rectangular matrices
Yongcheng Qi and Hongru Zhao