2018.03 - 2023.02: PhD, Industrial Systems & Engineering, KAIST
2016.03 - 2018.02: MS, Industrial Systems & Engineering, KAIST
2008.03 - 2016.02: BS, Mathematics, UOS

2024.07 - 2026.02: Postdoc, ABI team, RIKEN AIP
2023.03 - 2024.06: Postdoc, SIML lab, KAIST AI

*:equal contribution, †:corresponding author

Yohan Jung, Hyungi Lee, Wenlong Chen, Thomas Möllenhoff, Yingzhen Li, Juho Lee, Mohammad Emtiyaz Khan, Compact Memory for Continual Logistic Regression. Neural Information Processing Systems (NeurIPS), 2025.

Sungjun Lim, Jeyoon Yeom, Sooyon Kim, Hoyoon Byun, Jinho Kang, Yohan Jung†, Jiyoung Jung†, Kyungwoo Song†, Flat Posterior Does Matter for Bayesian Model Averaging. Conference on Uncertainty in Artificial Intelligence (UAI), 2025.

Yohan Jung, Jinkyoo Park, Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior. International Conference on Artificial Intelligence and Statistics (AISTATS), 2023.

Yohan Jung, Kyungwoo Song, Jinkyoo Park, Efficient Approximate Inference for Stationary Kernel on Frequency Domain. International Conference on Machine Learning (ICML), 2022.

Yohan Jung, Jinkyoo Park, Scalable Inference for Hybrid Bayesian Hidden Markov Model Using Gaussian Process Emission. Journal of Computational and Graphical Statistics (JCGS), 2022.

Kyungwoo Song, Yohan Jung, Dongjun Kim, Il-Chul Moon, Implicit Kernel Attention. AAAI Conference on Artificial Intelligence (AAAI), 2021.