Minh Tang
Minh Tang
Verified email at ncsu.edu
Title
Cited by
Cited by
Year
A consistent adjacency spectral embedding for stochastic blockmodel graphs
DL Sussman, M Tang, DE Fishkind, CE Priebe
Journal of the American Statistical Association 107 (499), 1119-1128, 2012
2302012
Statistical inference on random dot product graphs: a survey
A Athreya, DE Fishkind, M Tang, CE Priebe, Y Park, JT Vogelstein, ...
The Journal of Machine Learning Research 18 (1), 8393-8484, 2017
1192017
Universally consistent vertex classification for latent positions graphs
M Tang, DL Sussman, CE Priebe
The Annals of Statistics 41 (3), 1406-1430, 2013
1102013
Community detection and classification in hierarchical stochastic blockmodels
V Lyzinski, M Tang, A Athreya, Y Park, CE Priebe
IEEE Transactions on Network Science and Engineering 4 (1), 13-26, 2016
1052016
Consistent adjacency-spectral partitioning for the stochastic block model when the model parameters are unknown
DE Fishkind, DL Sussman, M Tang, JT Vogelstein, CE Priebe
SIAM Journal on Matrix Analysis and Applications 34 (1), 23-39, 2013
992013
Locality statistics for anomaly detection in time series of graphs
H Wang, M Tang, Y Park, CE Priebe
IEEE Transactions on Signal Processing 62 (3), 703-717, 2013
922013
A limit theorem for scaled eigenvectors of random dot product graphs
A Athreya, CE Priebe, M Tang, V Lyzinski, DJ Marchette, DL Sussman
Sankhya A 78 (1), 1-18, 2016
91*2016
Consistent latent position estimation and vertex classification for random dot product graphs
DL Sussman, M Tang, CE Priebe
IEEE transactions on pattern analysis and machine intelligence 36 (1), 48-57, 2013
882013
Perfect clustering for stochastic blockmodel graphs via adjacency spectral embedding
V Lyzinski, DL Sussman, M Tang, A Athreya, CE Priebe
Electronic journal of statistics 8 (2), 2905-2922, 2014
852014
A semiparametric two-sample hypothesis testing problem for random graphs
M Tang, A Athreya, DL Sussman, V Lyzinski, Y Park, CE Priebe
Journal of Computational and Graphical Statistics 26 (2), 344-354, 2017
812017
A nonparametric two-sample hypothesis testing problem for random graphs
M Tang, A Athreya, DL Sussman, V Lyzinski, CE Priebe
Bernoulli 23 (3), 1599-1630, 2017
662017
The two-to-infinity norm and singular subspace geometry with applications to high-dimensional statistics
J Cape, M Tang, CE Priebe
The Annals of Statistics 47 (5), 2405-2439, 2019
622019
Limit theorems for eigenvectors of the normalized Laplacian for random graphs
M Tang, CE Priebe
The Annals of Statistics 46 (5), 2360-2415, 2018
502018
Statistical inference on errorfully observed graphs
CE Priebe, DL Sussman, M Tang, JT Vogelstein
Journal of Computational and Graphical Statistics 24 (4), 930-953, 2015
402015
A statistical interpretation of spectral embedding: the generalised random dot product graph
P Rubin-Delanchy, J Cape, M Tang, CE Priebe
arXiv preprint arXiv:1709.05506, 2017
382017
On a two-truths phenomenon in spectral graph clustering
CE Priebe, Y Park, JT Vogelstein, JM Conroy, V Lyzinski, M Tang, ...
Proceedings of the National Academy of Sciences 116 (13), 5995-6000, 2019
372019
Signal-plus-noise matrix models: eigenvector deviations and fluctuations
J Cape, M Tang, CE Priebe
Biometrika 106 (1), 243-250, 2019
262019
Generalized canonical correlation analysis for classification
C Shen, M Sun, M Tang, CE Priebe
Journal of Multivariate Analysis 130, 310-322, 2014
262014
Empirical Bayes estimation for the stochastic blockmodel
S Suwan, DS Lee, R Tang, DL Sussman, M Tang, CE Priebe
Electronic Journal of Statistics 10 (1), 761-782, 2016
222016
A central limit theorem for an omnibus embedding of random dot product graphs
K Levin, A Athreya, M Tang, V Lyzinski, CE Priebe
arXiv preprint arXiv:1705.09355, 2017
212017
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Articles 1–20