Rungang Han, Rebecca Willett, Anru Zhang, "An Optimal Statistical and Computational Framework for Generalized Tensor Estimation.", Annals of Statistics, to appear, 2021. Paper
Rungang Han, Yuetian Luo, Miaoyan Wang, Anru Zhang, "Exact Clustering in Tensor Block Model: Statistical Optimality and Computational Limit.", submitted, 2020. Arxiv (This paper received the Best Student's Paper Award from the Statistical Learning and Data Science Section of the American Statistical Association, 2021)
T. Tony Cai, Rungang Han, Anru Zhang, "On the Non-Asymptotic Concentration of Heteroskedastic Wishart-type Matrix.", submitted, 2020. Arxiv
Yuetian Luo, Rungang Han, Anru Zhang, "A Schatten-q matrix perturbation theory via Perturbation Projection Error Bound.", submitted, 2020. Arxiv
Chenyu Zhang, Rungang Han, Anru Zhang, Paul Voyles, "Denoising Atomic Resolution 4D Scanning Transmission Electron Microscopy Data with Tensor Singular Value Decomposition", Ultramicroscopy, p. 113 -123, 2020. Paper
Anru Zhang, Rungang Han, "Optimal sparse singular value decomposition for high-dimensional high-order data.", Journal of the American Statistical Association 114 (528), 1708-1725, 2019. Paper
Daniel Zhang, Rungang Han, Dong Wang, Chao Huang, "On robust truth discovery in sparse social media sensing.", IEEE International Conference on Big Data (Big Data), 1076-1081, 2016. Paper