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Youngser Park – Research Outputs

Publications

Journals

  1. 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.

  2. 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.

  3. 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,

  4. 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

  5. Cong Mu, Y. Park, Carey E. Priebe, “Dynamic Network Sampling for Community Detection,” Applied Network Science, vol 8, no 5, pp 1-18, 2023.

  6. 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.

  7. 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

  8. 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.

  9. 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.

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. 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.

  16. 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)

  17. 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.

  18. 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.

  19. 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.

  20. 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.

  21. 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, vol 26, no 2, pp 344-354, 2017.

  22. 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.

  23. 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.

  24. 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, 386-392, doi:10.1126/science.1250298, April 25, 2014. (* co-first)

  25. 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.

  26. M. Tang, Y. Park, N.H. Lee, and C.E. Priebe, “Attribute Fusion in a Latent Process Model for Time Series of Graphs,” IEEE Transactions on Signal Processing, Vol. 61, No. 7, pp. 1721-1732, April, 2013.

  27. Y. Park, C.E. Priebe, and A. Youssef, “Anomaly Detection in Time-Series of Graphs using Fusion of Invariant,” IEEE Journal of Selected Topics in Signal Processing, Vol. 7, No. 1, pp. 67-75, February, 2013.

  28. N. Ram Mohan, C.E. Priebe, Y. Park, and M. John, “Statistical Analysis of Hippocampus Shape Using a Modified Mann-Whitney-Wilcoxon Test,” International Journal of Bio-Science and Bio-Technology, Vol. 3, No. 1, pp. 19-26, 2011.

  29. Z. Ma, A. Cardinal-Stakenas, Y. Park, M.W. Trosset, and C.E. Priebe, “Dimensionality Reduction on the Cartesian Product of Embeddings of Multiple Dissimilarity Matrices,” Journal for Classification, vol 27, pp 1-15, October, 2010.

  30. C.E. Priebe, Y. Park, D.J. Marchette, J.M. Conroy, J. Grothendieck, and A.L. Gorin, “Statistical Inference on Attributed Random Graphs: Fusion of Graph Features and Content: An Experiment on Time Series of Enron Graphs,” Computational Statistics and Data Analysis, volume 54, pages 1766–1776, 2010.

  31. M.I. Miller, C.E. Priebe, Qiu, A., Fischl, B., Kolasny, A., Brown, T., Y. Park, Ratnanather, J.T., Busa, E., Jovicich. J., Yu, P., Dickerson, B.C., Buckner, R.L. and the Morphometry BIRN, “Collaborative computational anatomy: An MRI morphometry study of the human brain via diffeomorphic metric mapping”, Human Brain Mapping, 30:2132-2141, Wiley-Liss. July, 2009.

  32. Y. Park, C.E. Priebe, M.I. Miller, N. Ram Mohan and K.N. Botteron, “Statistical Analysis of Twin Populations using Dissimilarity Measurements in Hippocampus Shape Space”, Journal of Biomedicine and Biotechnology, vol 2008, 2008.

  33. M.W. Trosset, C.E. Priebe, Y. Park, and M.I. Miller, “Semisupervised Learning from Dissimilarity Data”, Computational Statistics and Data Analaysis, 52, 4643–5657, 2008. Also presented at the Joint Statistical Meetings 2007, Salt Lake City, Utah.

  34. C.E. Priebe, D.J. Marchette, Y. Park, and R.R. Muise, “An Application of Integrated Sensing and Processing Decision Trees for Target Detection and Localization on Digital Mirror Array Imagery”, Journal of Applied Optics, 45, 13 (2006): 3022–3030.

  35. C.E. Priebe, J.M. Conroy, D.J. Marchette, and Y. Park, “Scan Statistics on Enron Graphs”, Journal of Computational and Mathematical Organization Theory, 11, 229–247, Springer Science, 2005.

  36. J. Hahn, R. Kaufman, A.B. Winick, T. Carleton, Y. Park, R. Lindeman, K.M. Oh, N. al-Ghreimil, R.J. Walsh, M. Loew, J. Gerber, S. Sankar, “Training Environment for Inferior Vena Caval Filter Placement”, The Medicine Meets Virtual Reality, (January 1998).

Conferences

  1. 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.

  2. 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.

  3. Avanti Athreya, Zachary Lubberts, Y. Park, Carey E. Priebe, “Discovering underlying dynamics in time series of networks,”, 15th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2022), 17-19 December 2022, King's College, London, UK.

  4. Kelly Marchisio, Y. Park, Ali Saad-Eldin, Anton Alyakin, Kevin Duh, Carey Priebe, Philipp Koehn, “An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces”, EMNLP 2021, Punta Cana, November 7-11, 2021.

  5. 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.

  6. Dan Sussman, Vince Lyzinski, Youngser Park, Carey 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)

  7. A. Liu, H. Wang, Y. Park, C.E. Priebe, "Anomaly Detection in Time Series of Dependent Stochastic Block Model Graphs,’’ Joint Statistics Meeting, Chicago, IL, August, 2016.

  8. 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.

  9. H. Patsolic, V. Lyzinski, Y. Park, C.E. Priebe, "Vertex Nomination via Seeded Graph Matching,’’ Joint Statistics Meeting, August, 2016.

  10. 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.

  11. H. Wang, M. Tang, C.E. Priebe, Y. Park, “Inference in Time Series of Graphs using Locality Statistics,” IEEE Global Conference on Signal and Information Processing, Austin, Texas, Dec 3-5, 2013.

  12. C.E. Priebe, N.H. Lee, Y. Park, M. Tang, “Attribute Fusion in a Latent Process Model for Time Series of Graphs,” IEEE International Workshop on Statistical Signal Processing 2011 (SSP’11), Nice, France, June 28-30, 2011.

  13. Y. Park, C.E. Priebe, A. Youssef, “Anomaly Detection using Fusion of Graph Invariants on a Time Series of Graphs,” Joint Statistical Meetings 2010, Vancouver, August, 2010.

  14. N. Ram Mohan, C.E. Priebe, Y. Park, and M. John, “Statistical Analysis of Hippocampus Shape Using a Modified Mann-Whitney-Wilcoxon Test”, BSBT 2009, Jeju, Korea, Dec. 2009,

  15. Z. Ma, A. Cardinal-Stakenas, Y. Park, C.E. Priebe, “Combining Dissimilarity Representations in Embedding Product Space,” JSM 2009, Washington, DC, August, 2009.

  16. Y. Park, C.E. Priebe, D.J. Marchette, A. Youssef, “Anomaly Detection using Scan Statistics on Time Series Hypergraphs”, JSM 2009, Washington, DC, August, 2009.

  17. B.A. Landman, Y. Park, Z. Ma, C.E. Priebe, “Data Fusion and Inference with Disparate Feature Spaces using Iterative Denoising Trees” JSM 2009, Washington, DC, August, 2009.

  18. N. Ram Mohan, C.E. Priebe, Y. Park, M.John, “Hippocampus shape analysis of clinically depressed twin populations using a modified Mann-Whitney-Wilcoxon statistic” JSM 2009, Washington, DC, August, 2009.

  19. Y. Park, C.E. Priebe, D.J. Marchette, A. Youssef, “Anomaly Detection using Scan Statistics on Time Series of Hypergraphs,”, Workshop on Link Analysis, Counterterrorism and Security at the SIAM International Conference on Data Mining, Sparks, Nevada, May 1-3, 2009

  20. Z. Ma, A. Cardinal-Stakenas, Y. Park, C.E. Priebe, “Combining Dissimilarity Representations in Embedding Product Space”, Interface 2008, Durham, NC, 2008.

  21. A. Cardinal-Stakenas, Z. Ma, Y. Park, C.E. Priebe, “Comparing Dissimilarity Representations of Disparate Information”, Interface 2008, Durham, NC, 2008.

  22. Y. Park, C.E. Priebe, K. Botteron, M.I. Miller, N.R. Mohan, “Hippocampus shape-space analysis of clinically depressed, high risk, and control twin populations”, Frontiers in the Convergence of Bioscience and Information Technologies 2007, Jeju, Korea, 2007.

  23. “LDDMM Software Suite: an evolving BIRN technology”, 2006 TeraGrid Conference, Indianapolis, IN, (June, 2006).

  24. “BIRN and Computational Anatomy: A TeraGrid Technology”, 2006 TeraGrid Conference, Indianapolis, IN, (June, 2006).

  25. D.J. Marchette, C.E. Priebe, Y. Park, D. Karakos, “Iterative Denoising for Adaptive Sensors”, Hawaii International Conference on Statistics, Mathematics and Related Fields, (January 2006).

  26. “Pattern Classification of Hippocampal Shape Analysis in a Study of Alzheimer's Disease”, Human Brain Mapping 2005, (June 2005).

  27. C.E. Priebe, D.J. Marchette, J.Conroy, Y. Park, “Scan Statistics on Enron Graphs”, SIAM International Conference on Data Mining (SDM’05), Workshop on Link Analysis, Counterterrorism and Security, (April 2005).

  28. D.J. Marchhe, C.E. Priebe, Y. Park, “Comparing Apples and Oranges: Method for Comparing the Incomparable”, Hawaii International Conference on Statistics and Related Fields, (August 2004).

  29. C.E. Priebe, D.J. Marchette, Y. Park, E. Wegman, J. Solka, D. Socolinsky, D. Karakos, K. Church, R. Guglielmi, R. Coifman, D. Lin, D. Healy, M. Jacobs, A. Tsao, “Iterative Denoising for Cross-Corpus Discovery”, COMPSTAT 2004, (August 2004).

  30. Y. Park, P. Bock, “Discovering Clusters In High-Dimensional Noisy Feature Spaces Using A Dynamic Agglomerative Decimation Clustering Algorithm”, ANNIE2002, (November 2002).

  31. Y. Park, P. Bock, “Discovering Clusters in High-Dimensional Noisy Feature Spaces Using a Dynamic Agglomerative Decimation Clustering Algorithm”, NGDM2002, (October 2002).

  32. Y. Park, R. Lindeman, J. Hahn, “X-Ray Casting: Fast Volume Visualization Using 2D Texture Mapping Techniques”, IEEE Visualization’96 Late Breaking Hot Topics, (October 1996).

Talks

  1. “On a 'Two Truths’ Phenomenon in Spectral Graph Clustering,” Data Mining Center, Seoul National University, Seoul, Korea, April 26, 2019.

  2. “Structure Discovery in the Drosophila Connectome,” BK21+ Seminar, Seoul National University, Seoul, Korea, July 23, 2018.

  3. “Vertex Nomination via Seed Graph Matching,” BK21+ Seminar, Seould National University, Seoul, Korea, January 11, 2017.

  4. “Repeated Motif Hierarchical Stochastic Blockmodels,” Theoretical Foundations for Statistical Network Analysis, Isaac Newton Institute for Mathematical Sciences, Cambridge, England, July 15, 2016.

  5. “Anomaly Detection in Time-Series of Graphs,” BK21+ Seminar, Seould National University, Seoul, Korea, July 21, 2015.

  6. “Discovery of Brainwide Neural-Behavioral Maps via Multiscale Unsupervised Structure Learning,” BK21+ Seminar, Seoul National University, Seoul, Korea, June 27, 2014.

  7. “Anomaly Detection using Scan Statistics on Enron Graphs and Hypergraphs,” IASC 2008 Statistical Modeling for Computer Security, Seoul, Korea, December, 2008.

  8. “On the Exploitation of Multiple Disparate Dissimilarities,” JSM 2008, Denver, CO, August, 2008.

  9. “Scan Statistics in Hypergraphs,” Interface 2008, Durham, NC, May, 2008.

  10. “Disparate Information Fusion: On the Exploitation of Multiple Disparate Dissimilarities,”, Interface 2008, Durham, NC, May, 2008.

  11. “Statistical Analysis of Twin Populations using Dissimilarity Measurements in Hippocampus Shape Space,”, CS departmental seminar series, Virginia Commonwealth University, November, 2007.