Entangled Monte Carlo. - Seong-Hwan Jun; Liangliang Wang; Alexandre Bouchard-Côté (NIPS, 2012)

Memory (and Time) Efficient Sequential Monte Carlo. - Seong-Hwan Jun; Alexandre Bouchard-Côté (ICML, 2014)

Sequential Graph Matching with Sequential Monte Carlo. - Seong-Hwan Jun; Samuel W. K. Wong; James V. Zidek; Alexandre Bouchard-Côté (AISTATS, 2017)

Learning Across Scales - Multiscale Methods for Convolution Neural Networks. - Eldad Haber; Lars Ruthotto; Elliot Holtham; Seong-Hwan Jun (AAAI, 2018)

Inferring tumor progression in large datasets. - Mohammadreza Mohaghegh Neyshabouri; Seong-Hwan Jun; Jens Lagergren (PLoS Comput. Biol., 2020)

A topology-marginal composite likelihood via a generalized phylogenetic pruning algorithm. - Seong-Hwan Jun; Hassan Nasif; Chris Jennings-Shaffer; David H. Rich; Anna Kooperberg; Mathieu Fourment; Cheng Zhang; Marc A. Suchard; Frederick A. Matsen IV (Algorithms Mol. Biol., 2023)

Scuphr: A probabilistic framework for cell lineage tree reconstruction. - Hazal Koptagel; Seong-Hwan Jun; Joanna Hård; Jens Lagergren (PLoS Comput. Biol., 2024)