Zongming Ma - RankMe

30 papers B 1Journal 27Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	IndiSeek learns information-guided disentangled representations. CoRR Yu Gui, Cong Ma, Zongming Ma
2025	J	`jnl`	Multi-modal contrastive learning adapts to intrinsic dimensions of shared latent variables. CoRR Yu Gui, Cong Ma, Zongming Ma
2023	J	`jnl`	Community Detection With Contextual Multilayer Networks. IEEE Trans. Inf. Theory Zongming Ma, Sagnik Nandy
2023	J	`jnl`	Sparse GCA and Thresholded Gradient Descent. J. Mach. Learn. Res. Sheng Gao, Zongming Ma
2022	J	`jnl`	Community detection in sparse latent space models. J. Mach. Learn. Res. Fengnan Gao, Zongming Ma, Hongsong Yuan
2022	J	`jnl`	Nonconvex Matrix Completion with Linearly Parameterized Factors. J. Mach. Learn. Res. Ji Chen, Xiaodong Li, Zongming Ma
2022	J	`jnl`	One-Way Matching of Datasets with Low Rank Signals. CoRR Shuxiao Chen, Sizun Jiang, Zongming Ma, Garry P. Nolan, Bokai Zhu
2021	J	`jnl`	Community Detection with Contextual Multilayer Networks. CoRR Zongming Ma, Sagnik Nandy
2021	J	`jnl`	Sparse GCA and Thresholded Gradient Descent. CoRR Sheng Gao, Zongming Ma
2020	J	`jnl`	Community detection in sparse latent space models. CoRR Fengnan Gao, Zongming Ma, Hongsong Yuan
2020	J	`jnl`	Global and Individualized Community Detection in Inhomogeneous Multilayer Networks. CoRR Shuxiao Chen, Sifan Liu, Zongming Ma
2020	J	`jnl`	Nonconvex Matrix Completion with Linearly Parameterized Factors. CoRR Ji Chen, Xiaodong Li, Zongming Ma
2020	J	`jnl`	Universal Latent Space Model Fitting for Large Networks with Edge Covariates. J. Mach. Learn. Res. Zhuang Ma, Zongming Ma, Hongsong Yuan
2018	J	`jnl`	Asymptotic normality and analysis of variance of log-likelihood ratios in spiked random matrix models. CoRR Debapratim Banerjee, Zongming Ma
2018	J	`jnl`	Efficient random graph matching via degree profiles. CoRR Jian Ding, Zongming Ma, Yihong Wu, Jiaming Xu
2018	J	`jnl`	Minimax Rates in Network Analysis: Graphon Estimation, Community Detection and Hypothesis Testing. CoRR Chao Gao, Zongming Ma
2017	J	`jnl`	Achieving Optimal Misclassification Proportion in Stochastic Block Models. J. Mach. Learn. Res. Chao Gao, Zongming Ma, Anderson Y. Zhang, Harrison H. Zhou
2017	J	`jnl`	Exploration of Large Networks via Fast and Universal Latent Space Model Fitting. CoRR Zhuang Ma, Zongming Ma
2017	J	`jnl`	Optimal hypothesis testing for stochastic block models with growing degrees. CoRR Debapratim Banerjee, Zongming Ma
2016	J	`jnl`	Community Detection in Degree-Corrected Block Models. CoRR Chao Gao, Zongming Ma, Anderson Y. Zhang, Harrison H. Zhou
2016	J	`jnl`	Optimal Estimation and Completion of Matrices with Biclustering Structures. J. Mach. Learn. Res. Chao Gao, Yu Lu, Zongming Ma, Harrison H. Zhou
2016	J	`jnl`	Rate Optimal Denoising of Simultaneously Sparse and Low Rank Matrices. J. Mach. Learn. Res. Dan Yang, Zongming Ma, Andreas Buja
2015	J	`jnl`	Achieving Optimal Misclassification Proportion in Stochastic Block Model. CoRR Chao Gao, Zongming Ma, Anderson Y. Zhang, Harrison H. Zhou
2015	J	`jnl`	Optimal Rates of Convergence for Noisy Sparse Phase Retrieval via Thresholded Wirtinger Flow. CoRR T. Tony Cai, Xiaodong Li, Zongming Ma
2015	J	`jnl`	Volume Ratio, Sparsity, and Minimaxity Under Unitarily Invariant Norms. IEEE Trans. Inf. Theory Zongming Ma, Yihong Wu
2013	J	`jnl`	Computational Barriers in Minimax Submatrix Detection. CoRR Zongming Ma, Yihong Wu
2013	—	`conf`	Optimal denoising of simultaneously sparse and low rank matrices in high dimensions. Allerton Andreas Buja, Zongming Ma, Dan Yang
2013	—	`conf`	Recent results on sparse principle component analysis. CAMSAP T. Tony Cai, Zongming Ma, Yihong Wu
2013	J	`jnl`	Volume Ratio, Sparsity, and Minimaxity under Unitarily Invariant Norms. CoRR Zongming Ma, Yihong Wu
2013	B	`conf`	Volume ratio, sparsity, and minimaxity under unitarily invariant norms. ISIT Zongming Ma, Yihong Wu