Welcome to Youngser Park's Home Page

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Youngser Park (박영서)
Associate Research Scientist
Center for Imaging Science (CIS)
The Institute for Computational Medicine (ICM)
The Johns Hopkins University

Short bio
Full CV

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.

Recent Publication:

  • 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 publication, 2016.

  • 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.

  • 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, 2014.


Suite 301, Clark Hall,
3400 N. Charles St.,
Johns Hopkins University
Baltimore, MD 21218
(E) youngser at jhu dot edu
(W) http://www.cis.jhu.edu/~parky/

Academic Interests

  • clustering algorithms

  • pattern classification

  • data mining for high-dimensional data

  • statistical inference on graph data