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wanjie wang
Title
Cited by
Cited by
Year
Influential features PCA for high dimensional clustering
J Jin, W Wang
1042016
Phase transitions for high dimensional clustering and related problems
J Jin, ZT Ke, W Wang
612017
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
512019
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
72023
Graph matching beyond perfectly-overlapping Erdős–Rényi random graphs
Y Hu, W Wang, Y Yu
Statistics and Computing 32 (1), 19, 2022
62022
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
22022
High Dimensional Quadratic Discriminant Analysis: Optimality and Phase Transitions
W Wang, J Wu, Z Yao
arXiv preprint arXiv:2108.10802, 2021
2*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
22015
Supplementary material for “Influential Features PCA for high dimensional clustering”
J Jin, W Wang
Manuscript, 2015
22015
Supplementary material for “Phase transitions for high dimensional clustering and related problems.”
J Jin, ZT Ke, W Wang
DOI, 2017
12017
Network-adjusted covariates for community detection
Y Hu, W Wang
Biometrika, asae011, 2024
2024
PCA matrix denoising is uniform
XT Tong, W Wang, Y Wang
arXiv preprint 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
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