Influential features PCA for high dimensional clustering J Jin, W Wang | 107 | 2016 |
Phase transitions for high dimensional clustering and related problems J Jin, ZT Ke, W Wang | 66 | 2017 |
Optimal estimation of genetic relatedness in high-dimensional linear models Z Guo, W Wang, TT Cai, H Li Journal of the American Statistical Association 114 (525), 358-369, 2019 | 54 | 2019 |
Truncated rank-based tests for two-part models with excessive zeros and applications to microbiome data W Wang, E Chen, H Li The Annals of Applied Statistics 17 (2), 1663-1680, 2023 | 8 | 2023 |
Graph matching beyond perfectly-overlapping Erdős–Rényi random graphs Y Hu, W Wang, Y Yu Statistics and Computing 32 (1), 19, 2022 | 6 | 2022 |
Network-adjusted covariates for community detection Y Hu, W Wang Biometrika, asae011, 2024 | 3 | 2024 |
Sparse block signal detection and identification for shared cross-trait association analysis J Wang, W Wang, H Li The Annals of Applied Statistics 16 (2), 866-886, 2022 | 3 | 2022 |
High Dimensional Quadratic Discriminant Analysis: Optimality and Phase Transitions W Wang, J Wu, Z Yao arXiv preprint arXiv:2108.10802, 2021 | 3* | 2021 |
An empirical model for reliable spiking activity W Wang, SJ Tripathy, K Padmanabhan, NN Urban, RE Kass Neural computation 27 (8), 1609-1623, 2015 | 3 | 2015 |
PCA matrix denoising is uniform XT Tong, W Wang, Y Wang arXiv preprint arXiv:2306.12690, 2023 | 2 | 2023 |
Supplementary material for “Influential Features PCA for high dimensional clustering” J Jin, W Wang Manuscript, 2015 | 2 | 2015 |
Temporal label recovery from noisy dynamical data Y Khoo, XT Tong, W Wang, Y Wang arXiv preprint arXiv:2406.13635, 2024 | 1 | 2024 |
Supplementary material for “Phase transitions for high dimensional clustering and related problems.” J Jin, ZT Ke, W Wang DOI, 2017 | 1 | 2017 |
Feature Selection in High-Dimensional Data W Wang | | 2024 |
Uniform error bound for PCA matrix denoising XT Tong, W Wang, Y Wang arXiv e-prints, arXiv: 2306.12690, 2023 | | 2023 |
Tutorial on Large Scale Networks W Wang Workshop and Tutorial on Social Networks 12, 16, 2018 | | 2018 |
Tutorial on High Dimensional Statistics with Rare and Weak Signals X Tong, W Wang Workshop and Tutorial on High Dimensional Data Analysis 5, 9, 2018 | | 2018 |
Clustering Problems for High Dimensional Data W Wang Carnegie Mellon University, 2014 | | 2014 |
Supplement to “Optimal Estimation of Genetic Relatedness in High-dimensional Linear Models” Z Guo, W Wang, TT Cai, H Li | | |
Large Scale Inference when Signals are Rare and Weak W Wang | | |