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Seong-Hwan Jun, PhD

Professor Seong-Hwan JunResearch Assistant Professor
Ph.D. (2018) University of British Columbia

Contact Information

University of Rochester
Dept of Biostatistics and Computational Biology
265 Crittenden Boulevard, CU 420630 
Rochester, New York 14642-0630
 
Office: Saunders Research Building 4203
Phone: (585) 276-3079
Fax: (585) 273-1031
E-mail: seonghwan_jun@urmc.rochester.edu 

Selected Publications

  • Mohaghegh Neyshabouri, M., Jun, S-H., and Lagergren, J., 2020. Inferring tumor progression in large datasets. PLoS Computational Biology, 16(10), p.e1008183
  • Jun, S-H., Wong, S.W., Zidk, J.V., and Bouchard-Cote, A., 2019. Sequential decision model for inference and prediction on non-uniform hypergraphs with application to knot matching from computational forestry. The Annals of Applied Statistics, 13(3), pp. 1678-1707.
  • Haber, E., Ruthotto, L., Holtham, E., and Jun, S-H., 2018. Learning across scales - A multiscale method for convolution neural networks. AAAI Conference on Artificial Intelligence. arXiv:1703.02009
  • Jun, S-H., Wong, S.W., Zidek, J.V., and Bouchard-Cote, A., 2017. Sequential Graph Matching with sequential monte carlo. International Conference on Artificial Intelligence and Statistics. 20: 107  5-1084. 
  • Jun, S-H. and Bouchard-Cote, A., 2014. memory (and time) efficient sequential Monte Carlo. International Conference in Machine Learning. 31: 514-522. Acceptance rate: 310/1238
  • Jun, S-H., Wang, L., and Bouchard-Cote, A., 2012. Entangled Monte Carlo. Advances in Nueral Information Processing Systems. 25:2735-2743. Acceptance rate: 370/1467. Spotlight talk: 72/1467.