Optimal denoising of simultaneously sparse and low rank matrices in high dimensions. - Andreas Buja; Zongming Ma; Dan Yang (Allerton, 2013)

Recent results on sparse principle component analysis. - T. Tony Cai; Zongming Ma; Yihong Wu 001 (CAMSAP, 2013)

Computational Barriers in Minimax Submatrix Detection. - Zongming Ma; Yihong Wu 001 (CoRR, 2013)

Optimal Rates of Convergence for Noisy Sparse Phase Retrieval via Thresholded Wirtinger Flow. - T. Tony Cai; Xiaodong Li; Zongming Ma (CoRR, 2015)

Achieving Optimal Misclassification Proportion in Stochastic Block Model. - Chao Gao; Zongming Ma; Anderson Y. Zhang; Harrison H. Zhou (CoRR, 2015)

Volume Ratio, Sparsity, and Minimaxity Under Unitarily Invariant Norms. - Zongming Ma; Yihong Wu 001 (IEEE Trans. Inf. Theory, 2015)

Community Detection in Degree-Corrected Block Models. - Chao Gao; Zongming Ma; Anderson Y. Zhang; Harrison H. Zhou (CoRR, 2016)

Optimal Estimation and Completion of Matrices with Biclustering Structures. - Chao Gao; Yu Lu; Zongming Ma; Harrison H. Zhou (J. Mach. Learn. Res., 2016)

Rate Optimal Denoising of Simultaneously Sparse and Low Rank Matrices. - Dan Yang; Zongming Ma; Andreas Buja (J. Mach. Learn. Res., 2016)

Optimal hypothesis testing for stochastic block models with growing degrees. - Debapratim Banerjee; Zongming Ma (CoRR, 2017)

Exploration of Large Networks via Fast and Universal Latent Space Model Fitting. - Zhuang Ma; Zongming Ma (CoRR, 2017)

Achieving Optimal Misclassification Proportion in Stochastic Block Models. - Chao Gao; Zongming Ma; Anderson Y. Zhang; Harrison H. Zhou (J. Mach. Learn. Res., 2017)

Asymptotic normality and analysis of variance of log-likelihood ratios in spiked random matrix models. - Debapratim Banerjee; Zongming Ma (CoRR, 2018)

Minimax Rates in Network Analysis: Graphon Estimation, Community Detection and Hypothesis Testing. - Chao Gao; Zongming Ma (CoRR, 2018)

Efficient random graph matching via degree profiles. - Jian Ding; Zongming Ma; Yihong Wu 001; Jiaming Xu 002 (CoRR, 2018)

Global and Individualized Community Detection in Inhomogeneous Multilayer Networks. - Shuxiao Chen; Sifan Liu; Zongming Ma (CoRR, 2020)

Universal Latent Space Model Fitting for Large Networks with Edge Covariates. - Zhuang Ma; Zongming Ma; Hongsong Yuan (J. Mach. Learn. Res., 2020)

One-Way Matching of Datasets with Low Rank Signals. - Shuxiao Chen; Sizun Jiang; Zongming Ma; Garry P. Nolan; Bokai Zhu (CoRR, 2022)

Nonconvex Matrix Completion with Linearly Parameterized Factors. - Ji Chen; Xiaodong Li; Zongming Ma (J. Mach. Learn. Res., 2022)

Community detection in sparse latent space models. - Fengnan Gao; Zongming Ma; Hongsong Yuan (J. Mach. Learn. Res., 2022)

Sparse GCA and Thresholded Gradient Descent. - Sheng Gao 003; Zongming Ma (J. Mach. Learn. Res., 2023)

Community Detection With Contextual Multilayer Networks. - Zongming Ma; Sagnik Nandy (IEEE Trans. Inf. Theory, 2023)

Multi-modal contrastive learning adapts to intrinsic dimensions of shared latent variables. - Yu Gui; Cong Ma; Zongming Ma (CoRR, 2025)