Youngser Park, Ph.D.

Affiliations: 
2011 Computer Science The George Washington University, Washington, DC, United States 
Area:
Computer Science, Statistics
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"Youngser Park"

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Abdou Youssef grad student 2011 The George Washington University
 (Anomaly Detection in Time-Series of Graphs and Hypergraphs using Graph Features.)
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Publications

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Patsolic HG, Park Y, Lyzinski V, et al. (2020) Vertex nomination via seeded graph matching Statistical Analysis and Data Mining: the Asa Data Science Journal. 13: 229-244
Sussman D, Park Y, Priebe CE, et al. (2019) Matched Filters for Noisy Induced Subgraph Detection. Ieee Transactions On Pattern Analysis and Machine Intelligence
Priebe CE, Park Y, Vogelstein JT, et al. (2019) On a two-truths phenomenon in spectral graph clustering. Proceedings of the National Academy of Sciences of the United States of America
Lyzinski V, Tang M, Athreya A, et al. (2017) Community Detection and Classification in Hierarchical Stochastic Blockmodels Ieee Transactions On Network Science and Engineering. 4: 13-26
Tang M, Athreya A, Sussman DL, et al. (2017) A Semiparametric Two-Sample Hypothesis Testing Problem for Random Graphs Journal of Computational and Graphical Statistics. 26: 344-354
Wang H, Tang M, Park Y, et al. (2014) Locality statistics for anomaly detection in time series of graphs Ieee Transactions On Signal Processing. 62: 703-717
Tang M, Park Y, Lee NH, et al. (2013) Attribute fusion in a latent process model for time series of graphs Ieee Transactions On Signal Processing. 61: 1721-1732
Park Y, Priebe CE, Youssef A. (2013) Anomaly detection in time series of graphs using fusion of graph invariants Ieee Journal On Selected Topics in Signal Processing. 7: 67-75
Priebe CE, Park Y, Marchette DJ, et al. (2010) Statistical inference on attributed random graphs: Fusion of graph features and content: An experiment on time series of Enron graphs Computational Statistics and Data Analysis. 54: 1766-1776
Priebe CE, Conroy JM, Marchette DJ, et al. (2005) Scan statistics on enron graphs Computational and Mathematical Organization Theory. 11: 229-247
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