Welcome to Youngser Park's Home Page
Recent Grant Awarded:
"LoGE: Graph Embedding for Next Generation Military Logistics and
Supply Chain Management,’’ DARPA LogX, Co-PI with Carey E. Priebe
(PI), Walter Andrews, 2020.
"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:
Tianyi Chen, Y. Park, Ali Saad-Eldin, Zachary Lubberts, Avanti
Athreya, Benjamin D. Pedigo, Joshua T. Vogelstein, Francesca Puppo,
Gabriel A. Silva, Alysson R. Muotri, Weiwei Yang, Christopher
M. White, Carey E Priebe, “Discovering a change point in a time
series of organoid networks via the iso-mirror,” Applied Network
Science, accepted for publication, 2023
A. Athreya, Z. Lubberts, C. Priebe, Y. Park,
“Discovering underlying dynamics in time series of networks”, 6th International Conference on Econometrics and Statistics
1-3 August 2023, Waseda University, Tokyo, Japan.
Z. Lubberts, A. Athreya, C. Priebe, Y. Park,
“Beyond the adjacency matrix: Random line graphs and inference for
networks with edge attributes”, 6th International Conference on Econometrics and Statistics
1-3 August 2023, Waseda University, Tokyo, Japan.
Michael Winding, Benjamin D Pedigo, Christopher L Barnes, Heather G
Patsolic, Y. Park, Tom Kazimiers, Akira Fushiki, Ingrid V
Andrade, Feng Li, Javier Valdes-Aleman, Avinash Khandelwal, Nadine
Randel, Elizabeth Barsotti, Ana Correia, Richard D Fetter, Volker
Hartenstein, Carey E Priebe, Joshua T Vogelstein, Albert Cardona,
Marta Zlatic, “The connectome of
an insect brain,” Science, vol 379, no 6636, 2023,
Cong Mu, Y. Park, Carey E. Priebe, “Dynamic Network Sampling
for Community Detection,” Applied Network Science, vol 8, no 5, pp
1-18, 2023.
Konstantinos Pantazis, Daniel L. Sussman, Y. Park, Carey E Priebe, Vince Lyzinski,
“Multiplex graph matching matched filters,” Applied Network Science, vol 7, no 29, 2022
Avanti Athreya, Michael Kane, Bryan Lewis, Zachary Lubberts, Vince
Lyzinski, Y. Park, Carey E. Priebe, Minh Tang, “Numerical
tolerance for spectral decompositions of random dot product graphs,”
Journal of Computational and Graphical Statistics, vol 0, no 0, pp
1-12, 2022.
Michael J. Harrower, Joseph C. Mazzariello, A. Catherine D'Andrea,
Smiti Nathan, Habtamu Mekonnen, Ioana A. Dumitru, Carey E. Priebe,
Kifle Zerue, Y. Park, “Aksumite Settlement Patterns: Site Size
Hierarchy and Spatial Clustering Analyses,” Journal of
Archaeological Research, 2022
Congyuan Yang, Carey E. Priebe, Y. Park, David J. Marchette,
“Simultaneous Dimensionality and Complexity Model Selection for
Spectral Graph Clustering,” , Journal of Computation and Graphical
Statistics, vol 30, no 2, pp 422-441, 2021.
Avanti Athreya, Minh Tang, Y. Park, Carey E. Priebe, “On
estimation and inference in latent structure random graphs,”
Statistical Science, vol 36, no 1, pp 68-88, 2021.
Nian Wang, Robert J Anderson, David G Ashbrook, Vivek
Gopalakrishnan, Y. Park, Carey E Priebe, Yi Qi, Joshua T
Vogelstein, Robert W Williams, G. Allan Johnson, “Node-Specific
Heritability in the Mouse Connectome,” NeuroImage, vol 222, no 15, 2020.
D. L. Sussman, V. Lyzinski, Y. Park, C. E. Priebe,
“Matched Filters for
Noisy Induced Subgraph Detection,” IEEE Transactions on Pattern
Analysis and Machine Intelligence, vol 42, no 11, pp 2887-2900, 2020.
Joshua Agterberg, Y. Park, Jonathan Larson, Christopher White,
Carey E. Priebe, and Vince Lyzinski, “Vertex Nomination, Consistent
Estimation, and Adversarial Modification,” Electronic Journal of
Statistics, vol. 14, no. 2, pp. 3230-3267, 2020.
H. G. Patsolic, Y. Park, V. Lyzinski, C.E. Priebe,
“Vertex Nomination Via Local Neighborhood Matching,” Statistical Analysis and Data Mining, 2020;1-16, March, 2020.
K. Pantazis, D. L. Sussman, Y. Park, C. E. Priebe, V. Lyzinski,
“Multiplex graph matching matched filters”,
GTA3 2019 Workshop on Graph Techniques for Adversarial Activity Analytics, in conjuction
with 12th ACM International Conference on Web Search and Data
Mining, Los Angeles, CA, December 9, 2019.
C. E. Priebe, Y. Park, J. T. Vogelstein, J. M. Conroy, V. Lyzinskic, M. Tang, A. Athreya, J. Cape,
and E. 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.
D. Sussman, V. Lyzinski, Y. Park, C. E. Priebe, “Matched
Filters for Noisy Indued Subgraph Detection”, GTA³ 2018: Workshop on
Graph Techniques for Adversarial Activity Analytics, in conjuction
with 11th ACM International Conference on Web Search and Data
Mining, Marina Del Rey, CA, Feb 9, 2018. (won the best paper award)
A. Athreya, D. E. Fishkind, K. Levin, V. Lyzinski,
Y. Park, Y. Qin, D. L. Sussman, M. Tang, J.
T. Vogelstein, C. 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.
Submitted to journals:
Hayden S. Helm, Marah Abdin, Benjamin D. Pedigo, Shweti Mahajan,
Vince Lyzinski, Y. Park, Amitabh Basu, PialiChoudhury,
Christopher M. White, Weiwei Yang, Carey E. Priebe, “Leveraging
semantically similar queries for ranking via combining
representations,” Submitted, 2021
Amitabh Basu, Avanti Athreya, Y. Park, Carey E. Priebe,
Christopher White, Joshua Vogelstein, Michael Winding, Marta Zlatic,
Albert Cardona, Patrick Bourke, Weiwei Yang, Jonathan Larson,
“Distance-based Positive and Unlabeled Learning for Ranking,”
Submitted, 2021
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