Welcome to Youngser Park's Home Page
Recent Grant Awarded:
“Models for Statistical Inference in Neuroscience Connectomics,” Microsoft Research, PI, 2019.
"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:
Avanti Athreya, Zachary Lubberts, Y. Park, Carey E. Priebe, “Euclidean mirrors and dynamics in network time series,” Journal of the American Statistical Association, accepted for publication, 2024
Tiona Zuzul, Emily Cox Pahnke, Jonathan Larson, Patrick Bourke, Nicholas Caurvina, Fereshteh Amini, Neha Parikh Shah, Y. Park, Joshua Vogelstein, Jeffrey Weston, Christopher White, Carey E. Priebe, “Dynamic Silos: Increased Modularity in Intra-organizational Communication Networks during the Covid-19 Pandemic,” Management Science, accepted for publication, 2024
Cencheng Shen, Jonathan Larson, Ha Trinh, Xihan Qin, Y. Park, Carey E Priebe, “Discovering Communication Pattern Shifts in Large-Scale Networks using Encoder Embedding and Vertex Dynamics,” IEEE Transactions on Network Science and Engineering, vol 11, no 2, pp 2100-2109, 2024.
Hayden S. Helm, Amitabh Basu, Avanti Athreya, Y. Park, Joshua T. Vogelstein, Michael Winding, Marta Zlatic, Albert Cardona, Patrick Bourke, Jonathan Larson, Chris White, Carey E Priebe, “Distance-based Positive and Unlabeled Learning for Ranking,” Pattern Recognition, accepted for publication, 2023
Aranyak Acharyya, Joshua Agterberg, Michael W. Trosset, Y. Park, Carey E Priebe, “Semisupervised regression in latent structure networks on unknown manifolds”, Applied Network Science, vol 8, no 75, 2023.
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, vol 8, no 45, 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.
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 32, no 1, pp 145-156, 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
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:
Tianyi Chen, Zachary Lubberts, Avanti Athreya, Y. Park, Carey E. Priebe, “Euclidean mirrors and first-order changepoints in network time series,” Submitted, 2024
Aranyak Acharyya, Jesús Arroyo Relión, Michael Clayton, Marta Zlatic, Y. Park,, Carey E. Priebe, “Consistent response prediction for multilayer networks on unknown manifolds,” Submitted, 2024
Cencheng Shen, Y. Park, Carey E Priebe, “Graph Encoder Ensemble for Simultaneous Vertex Embedding and Community Detection,” Submitted, 2023
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