Stilt: Easy Emulation of Time Series AR(1) Computer Model Output in Multidimensional Parameter Space. - Roman Olson; Kelsey L. Ruckert; Won Chang; Klaus Keller; Murali Haran; Soon-Il An (R J., 2018)

Deep Convolutional Framelet Denosing for Low-Dose CT via Wavelet Residual Network. - Eunhee Kang; Won Chang; Jaejun Yoo 001; Jong Chul Ye (IEEE Trans. Medical Imaging, 2018)

Bayesian pollution source identification via an inverse physics model. - Youngdeok Hwang; Hang J. Kim; Won Chang; Kyongmin Yeo; Yongku Kim (Comput. Stat. Data Anal., 2019)

Fast and accurate learned multiresolution dynamical downscaling for precipitation. - Jiali Wang; Zhengchun Liu; Ian T. Foster; Won Chang; Rajkumar Kettimuthu; Rao Kotamarthi (CoRR, 2021)

Enabling dynamic emulation of high-dimensional model outputs: Demonstration for Mexico City groundwater management. - Jacob Tracy; Won Chang; Sarah St George Freeman; Casey Brown; Adriana Palma Nava; Patrick Ray (Environ. Model. Softw., 2022)

Computer Model Calibration with Time Series Data Using Deep Learning and Quantile Regression. - Saumya Bhatnagar; Won Chang; Seonjin Kim; Jiali Wang (SIAM/ASA J. Uncertain. Quantification, 2022)

Analysis of East Asia Wind Vectors Using Space-Time Cross-Covariance Models. - Jaehong Jeong; Won Chang (Remote. Sens., 2023)

Density physics-informed neural networks reveal sources of cell heterogeneity in signal transduction. - Hyeontae Jo; Hyukpyo Hong; Hyung Ju Hwang; Won Chang; Jae Kyoung Kim (Patterns, 2024)

Accelerating Diffusion: Task-Optimized latent diffusion models for rapid CT denoising. - Jongmin Jee; Won Chang; Euyoung Kim; Kyong Joon Lee (Comput. Biol. Medicine, 2025)

Fast Computer Model Calibration using Annealed and Transformed Variational Inference. - Dongkyu Derek Cho; Won Chang; Jaewoo Park (J. Comput. Graph. Stat., 2025)

Bayesian Model Calibration and Sensitivity Analysis for Oscillating Biological Experiments. - Youngdeok Hwang; Hang J. Kim; Won Chang; Christian Hong; Steven N. MacEachern (Technometrics, 2025)