Publication

* = corresponding author, † = co-first author

Kwangmin Lee, Sewon Park*, Seongmin Kim, Jaeyong Lee (2025). Bayesian analysis of spiked covariance models: correcting eigenvalue bias and determining the number of spikes (working paper).

Seongmin Kim, Kwangmin Lee, Sewon Park, Jaeyong Lee (2025). Eigenstructure inference for high-dimensional covariance with generalized shrinkage inverse-Wishart prior (working paper).

Jinsung Jeon, Jaehyeon Park, Sewon Park, Jeongwhan Choi, Minjung Kim, Noseong Park (2025). Possibility for Proactive Anomaly Detection. In ICLR 2025 Workshop on ICBINB.

Haksoo Lim, Sewon Park†, Minjung Kim, Jaehoon Lee, Seonkyu Lim, Noseong Park (2023). MadSGM: Multivariate Anomaly Detection with Score-based Generative Models. In CIKM 2023.

Sewon Park, Hee-Seok Oh, Jaeyong Lee (2023). Lévy Adaptive B-Spline Regression via Overcomplete Systems. Statistica Sinica, 33 (4).

Sewon Park, Kyeongwon Lee, Da-Eun Jeong, Heung-Kook Ko, Jaeyong Lee (2023). Bayesian Nonparametric Classification for Incomplete Data With a High Missing Rate: an Application to Semiconductor Manufacturing Data. IEEE Transactions on Semiconductor Manufacturing, 36 (2).

Jayoung Kim, Chaejeong Lee, Yehjin Shin, Sewon Park, Minjung Kim, Noseong Park, Jihoon Cho (2022). SOS: Score-based oversampling for tabular data. In KDD 2022.

Suji Lee, Sukjin Han, Sewon Park*, Kyeongwon Lee, Jaeyong Lee (2019). Korean speech recognition using deep learning (in Korean). The Korean Journal of Applied Statistics, 32 (2).