Minh Tang


 

Employment
 
Associate Research Professor @ AMS, Johns Hopkins University. [CV]
 
Contact
 
Whitehead 306E
3400 N. Charles St
Baltimore, MD 21218, USA.
Email: firstname @ cis dot jhu dot edu
 
Education
 
 
PhD in Computer Science, Indiana University Bloomington, 2010
MS in Computer Science, University of Wisconsin-Milwaukee, 2004
BS in Computer Science, Assumption University of Thailand, 2001
 
Interests
 
statistical pattern recognition, dimensionality reduction, high-dimensional data analysis
 
Preprints Asymptotically efficient estimators for stochastic blockmodels: the naive MLE, the rank-constrained MLE, and the spectral [pdf]
Minh Tang and Joshua Cape and Carey E. Priebe

The generalised random dot product graph [pdf]
Patrick Rubin-Delanchy and Carey E. Priebe and Minh Tang

Robust estimation from multiple graphs under gross error contamination [pdf]
Runze Tang and Minh Tang and Joshua T. Vogelstein and Carey E. Priebe

The two-to-infinity norm and singular subspace geometry with applications to high-dimensional statistics [pdf]
Joshua Cape and Minh Tang and Carey E. Priebe

A central limit theorem for an omnibus embedding of random dot product graphs [pdf]
Keith Levin and Avanti Athreya and Minh Tang and Vince Lyzinski and Carey E. Priebe

Consistency of adjacency spectral embedding for the mixed membership stochastic blockmodel [pdf]
Patrick Rubin-Delanchy and Carey E. Priebe and Minh Tang

Numerical tolerance for spectral decompositions of random dot product graphs [pdf]
Avanti Athreya and Minh Tang and Vince Lyzinski and Youngser Park and Bryan Lewis and Michael Kane and Carey E. Priebe

Out-of-sample extension for latent position graphs [pdf]
Minh Tang and Youngser Park and Carey E. Priebe

Papers 21. Statistical inference on random dot product graphs: a survey [pdf]
Avanti Athreya and Donniell E. Fishkind and Keith Levin and Vince Lyzinski and Youngser Park
and Yichen Qin and Daniel L. Sussman and Minh Tang and Joshua T. Vogelstein and Carey E. Priebe.
Journal of Machine Learning Research, accepted for publication.

20. Limit theorems for eigenvectors of the normalized Laplacian for random graphs [pdf]
Minh Tang and Carey E. Priebe
Annals of Statistics, accepted for publication.

19. The Kato-Temple inequality and eigenvalue concentration [pdf]
Joshua Cape and Minh Tang and Carey E. Priebe
Electronic Journal of Statistics, Vol. 11, pp. 3954--3978, 2017.

18. A semiparametric two-sample hypothesis testing problem for random dot product graphs [pdf]
Minh Tang and Avanti Athreya and Daniel L. Sussman and Vince Lyzinski and Youngser Park and Carey E. Priebe
Journal of Computational and Graphical Statistics, Vol. 26, pp. 344--354, 2017.

17. Community detection and classification in hierarchical stochastic blockmodels [pdf]
Vince Lyzinski and Minh Tang and Avanti Athreya and Youngser Park and Carey E. Priebe
IEEE Transactions on Network Science and Engineering, Vol. 4, pp. 13--26, 2017.

16. A nonparametric two-sample hypothesis testing problem for random dot product graphs [pdf]
Minh Tang and Avanti Athreya and Daniel L. Sussman and Vince Lyzinski and Carey E. Priebe
Bernoulli, Vol. 23, pp. 1599--1630, 2017.

15. Empirical Bayes estimation for the stochastic blockmodel [pdf]
Shakira Suwan and Dominic S. Lee and Runze Tang and Daniel L. Sussman and Minh Tang and Carey E. Priebe
Electronic Journal of Statistics, Vol. 10, pp. 761--782, 2016.

14. A limit theorem for scaled eigenvectors of random dot product graphs [pdf]
Avanti Athreya and Vince Lyzinski and David J. Marchette and Carey E. Priebe and Daniel L. Sussman and Minh Tang
Sankhya Series A, Vol. 78, pp. 1--18, 2016.

13. Statistical inference on errorfully observed graphs [pdf]
Carey E. Priebe and Daniel L. Sussman and Minh Tang and Joshua T. Vogelstein
Journal of Computational and Graphical Statistics, Vol. 24, pp. 930--953, 2015.

12. Perfect clustering for stochastic blockmodel graphs via adjacency spectral embedding [pdf]
Vince Lyzinski and Daniel L. Sussman and Minh Tang and Avanti Athreya and Carey E. Priebe
Electronic Journal of Statistics, Vol. 8, pp. 2905--2922, 2014.

11. Generalized canonical correlation analysis for classification in high dimensions [pdf]
Cencheng Shen and Ming Sun and Minh Tang and Carey E. Priebe
Journal of Multivariate Analysis, Vol. 130, pp. 310--322, 2014.

10. Locality statistics for anomaly detection in time series of graphs [pdf]
Heng Wang and Minh Tang and Youngser Park and Carey E. Priebe
IEEE Transactions on Signal Processing, Vol. 62, pp. 703--717, 2014.

9. Consistent latent position estimation and vertex classification for RDPG [pdf]
Daniel L. Sussman and Minh Tang and Carey E. Priebe
IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 36, pp. 48--57, 2014.

8. On latent position inference from doubly stochastic messaging activities [pdf]
Nam H. Lee and Jordan Yoder and Minh Tang and Carey E. Priebe
Multiscale Modeling and Simulation, Vol. 11, pp. 683--718, 2013.

7. Universally consistent vertex classification for latent position graphs [pdf]
Minh Tang and Daniel L. Sussman and Carey E. Priebe
Annals of Statistics, Vol. 41, pp. 1406--1430, 2013.

6. Attribute fusion in a latent process model for time series of graphs [pdf]
Minh Tang and Youngser Park and Nam H. Lee and Carey E. Priebe
IEEE Transactions in Signal Processing, Vol. 61, pp. 1721--1732, 2013.

5. Consistent adjacency-spectral partitioning for the stochastic block
model when the model parameters are unknown
[pdf]
Donniell E. Fishkind and Daniel L. Sussman and Minh Tang and Joshua T. Vogelstein and Carey E. Priebe
SIAM Journal on Matrix Analysis and Applications, Vol. 34, pp. 23--39, 2013.

4. Generalized canonical correlation analysis for disparate data fusion [pdf]
Ming Sun and Carey E. Priebe and Minh Tang.
Pattern Recognition Letters, Vol. 34, pp. 194--200, 2013.

3. A consistent adjacency spectral embedding for stochastic blockmodel graphs [pdf]
Daniel L. Sussman and Minh Tang and Donniell E. Fishkind and Carey E. Priebe
Journal of the American Statistical Association, Vol. 107, pp.1119--1128, 2012.

2. Generating functions and the solutions of full-history recurrence equations
Minh Tang
Electronic Notes in Discrete Mathematics, Vol. 29, pp.445--449, 2007.

1. State-space planning with variants of A*
Amol D. Mali and Minh Tang
International Journal on Artificial Intelligence Tools, Vol. 15, pp.433--464, 2006.