Source: http://cis.jhu.edu/~parky/
Timestamp: 2019-04-25 12:43:24+00:00

Document:
"Universally Useful Primitives for Aligning Networks Across Time and Space,’’ DARPA MAA, Co-PI with Vince Lyzinski (PI), C.E. Priebe, and Daniel Sussman, 2017.
“What Would Tukey Do? <enter>,” DARPA D\(^3\)M, 2/1/2017–1/31/2021, Co-PI with C.E. Priebe (PI), M. Tang, A. Athreya, V. Lyzinski, and J. Vogelstein.
Carey E. Priebe, Youngser Park, Joshua T. Vogelstein, John M. Conroy, Vince Lyzinskic, Minh Tang, Avanti Athreya, Joshua Cape, and Eric Bridgeford, “On a 'Two Truths’ Phenomenon in Spectral Graph Clustering,” Proceedings of the National Acedemy of Sciences, vol. 116, no. 13, pp 5995-6000, 2019.
Avanti Athreya, Donniell E. Fishkind, Keith Levin, Vince Lyzinski, Youngser Park, Yichen Qin, Daniel L. Sussman, Minh Tang, Joshua T. Vogelstein, Carey E. Priebe, “Statistical inference on random dot product graphs: a survey,” Journal of Machine Learning Research, 18(226):1-92, 2018.
K. Eichler, F. Li, A. L. Kumar, Y. Park, I. Andrade, C. Schneider-Mizell, T. Saumweber, A. Huser, D. Bonnery, B. Gerber, R. D. Fetter, J. W. Truman, C.E Priebe, L. F. Abbott, A. Thum, M. Zlatic, and A. Cardona, “The complete wiring diagram of a high-order learning and memory center, the insect mushroom body,” Nature, no. 548, pp. 175-182, 2017.
V. Lyzinski, Y. Park, C. E. Priebe, M. W. Trosset, “Fast Embedding for JOFC Using the Raw Stress Criterion,” , Journal of Computational and Graphical Statistics, vol 26, no 4, pp 786-802, 2017.
V. Lyzinski, M. Tang, A. Athreya, Y. Park, C. E. Priebe, “Community Detection and Classification in Hierarchical Stochastic Blockmodels,” , IEEE Transactions on Network Science and Engineering, vol. 4, no. 1, pp 13-26, 2017.
D. Zheng, D. Mhembere, Y. Park, J. T. Vogelstein, C. E. Priebe, R. Burns. “Spectral Clustering For Billion-Node Graphs,” SIAM Workshop on Network Science (NS2016), Boston, MA, July, 2016.
Y. Park, H. Wang, T. Nobauer, A. Vaziri, C. E. Priebe, “Anomaly Detection on Whole-Brain Functional Imaging of Neuronal Activity using Graph Scan Statistics” ACM Conference on Knowledge Discovery and Data Mining (KDD), Workshop on Outlier Definition, Detection, and Description (ODDx3), August 10, 2015.
D. E. Fishkind, C. Shen, Y. Park, C.E. Priebe, “On the Incommensurability Phenomenon,” Journal of Classification, Vol. 33, No. 2, pp. 185-209, 2016. Data link.
H. Wang, M. Tang, Y. Park, and C.E. Priebe, “Locality Statistics for Anomaly Detection in Time Series of Graphs,” IEEE Transactions on Signal Processing, Vol. 62, No. 3, pp. 703-717, February, 2014.
Congyuan Yang, Carey E. Priebe, Y. Park, David J. Marchette, “Simultaneous Dimensionality and Complexity Model Selection for Spectral Graph Clustering,” submitted, 2019.
A. Athreya, M. Tang, Y. Park, C. E. Priebe, “On estimation and inference in latent structure random graphs,” submitted, 2018.
D. L. Sussman, V. Lyzinski, Y. Park, C. E. Priebe, “Matched Filters for Noisy Induced Subgraph Detection,” submitted, 2018.
C.E. Priebe, Y. Park, M. Tang, A, Athreya, V. Lyzinski, J. Vogelstein, Y. Qin, B. Cocanougher, K. Eichler, M. Zlatic, A. Cardona, “Semiparametric spectral modeling of the Drosophila connectome,” submitted, 2017.
H. G. Patsolic, Y. Park, V. Lyzinski, C.E. Priebe, “Vertex Nomination Via Local Neighborhood Matching,” submitted, 2017.
A. Athreya, M. Tang, V. Lyzinski, Y. Park, B. Lewis, M. Kane, C.E. Priebe, “Numerical tolerance for spectral decompositions of random dot product graphs,” submitted, 2016.
N. H. Lee, I. J. Wang, Y. Park, C. E. Priebe, M. Rosen, “Techniques for clustering interaction data as a collection of graphs,” 2014.
M. Tang, Y. Park, and C. E. Priebe, “Out-of-sample Extension for Latent Position Graphs,” 2013.
V. Lyzinski, S. Adali, J. T. Vogelstein, Y. Park, C. E. Priebe, “Seeded Graph Matching Via Joint Optimization of Fidelity and Commensurability,” 2013.
“Structure Discovery in the Drosophila Connectome,” BK21+ Seminar, Seoul National University, Seoul, Korea, July 23, 2018.
“Vertex Nomination via Seed Graph Matching,” BK21+ Seminar, Seoul National University, Seoul, Korea, January 11, 2017.
“Repeated Motif Hierarchical Stochastic Blockmodels,” Theoretical Foundations for Statistical Network Analysis, Isaac Newton Institute for Mathematical Sciences, Cambridge, England, July 15, 2016.
“Anomaly Detection in Time-Series of Graphs,” BK21+ Seminar, Seoul National University, Seoul, Korea, July 21, 2015.
“Discovery of Brainwide Neural-Behavioral Maps via Multiscale Unsupervised Structure Learning,” BK21+ Seminar, Seoul National University, Seoul, Korea, June 27, 2014.
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