Welcome to Youngser Park's Home Page
Recent Grant Awarded:
"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.
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, accepted for publication, 2016.
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.
M. Tang, A. Athreya, D.L. Sussman, V. Lyzinski, Y. Park, C.E. Priebe, “A semiparametric two-sample hypothesis testing problem for random dot product graphs,”
Journal of Computational and Graphical Statistics, accepted for
D. Zheng, D. Mhembere,
Y. Park, J. T. Vogelstein, C. E. Priebe, R.
“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.
V. Lyzinski, D. L. Sussman, D. E. Fishkind, H. Pao, L. Chen,
J. T. Vogelstein, Y. Park, C. E. Priebe,
“Spectral Clustering for
Divide-and-Conquer Graph Matching,” , Parallel Computing, vol. 47, pp. 70-87, 2015, doi:10.1016/j.parco.2015.03.004
Y. Park*, J. Vogelstein*, T. Ohyama*,
R. Kerr, J.W. Truman, C.E. Priebe, M. Zlatic, “Discovery of Brainwide
Neural-Behavioral Maps via Multiscale Unsupervised Structure
Learning,” Science, Vol. 344, No. 6182, pp. 386-392,
doi:10.1126/science.1250298, April 25, 2014.
“… usher in a new era of integrated methods … achieved a technical, multidisciplinary tour de force …”
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.
Submitted to journals:
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,” submitted and under review at Nature, 2016.
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.
Recent / Future Talk:
“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,
Suite 301, Clark Hall,
3400 N. Charles St.,
Johns Hopkins University
Baltimore, MD 21218
(E) youngser at jhu dot edu