EM Estimation for Finite Mixture Models with Known Mixture Component Size. - Chen Teel; Taeyoung Park; Allan R. Sampson (Commun. Stat. Simul. Comput., 2015)

Partially Collapsed Gibbs Sampling for Linear Mixed-effects Models. - Taeyoung Park; Seunghyun Min (Commun. Stat. Simul. Comput., 2016)

Analysis of binary longitudinal data with time-varying effects. - Seonghyun Jeong; Minjae Park 001; Taeyoung Park (Comput. Stat. Data Anal., 2017)

Bayesian variable selection in Poisson change-point regression analysis. - Seunghyun Min; Taeyoung Park (Commun. Stat. Simul. Comput., 2017)

Partially collapsed Gibbs sampling for latent Dirichlet allocation. - Hongju Park; Taeyoung Park; Yung-Seop Lee (Expert Syst. Appl., 2019)

Bayesian Model Selection in Additive Partial Linear Models Via Locally Adaptive Splines. - Seonghyun Jeong; Taeyoung Park; David A. Van Dyk (J. Comput. Graph. Stat., 2022)

Functional clustering methods for binary longitudinal data with temporal heterogeneity. - Jinwon Sohn; Seonghyun Jeong; Young Min Cho; Taeyoung Park (Comput. Stat. Data Anal., 2023)

Soft Contrastive Learning for Time Series. - Seunghan Lee; Taeyoung Park; Kibok Lee 003 (ICLR, 2024)

Learning to Embed Time Series Patches Independently. - Seunghan Lee; Taeyoung Park; Kibok Lee 003 (ICLR, 2024)

ANT: Adaptive Noise Schedule for Time Series Diffusion Models. - Seunghan Lee; Kibok Lee 003; Taeyoung Park (NeurIPS, 2024)

Partial Channel Dependence with Channel Masks for Time Series Foundation Models. - Seunghan Lee; Taeyoung Park; Kibok Lee 003 (CoRR, 2024)

Sequential Order-Robust Mamba for Time Series Forecasting. - Seunghan Lee; Juri Hong; Kibok Lee 003; Taeyoung Park (CoRR, 2024)

To Predict or Not to Predict? Proportionally Masked Autoencoders for Tabular Data Imputation. - Jungkyu Kim; Kibok Lee 003; Taeyoung Park (AAAI, 2025)

Channel Normalization for Time Series Channel Identification. - Seunghan Lee; Taeyoung Park; Kibok Lee 003 (CoRR, 2025)