A Study on the Application of BPM Systems for Implementation of RosettaNet Based e-Logistics. - Yong Gu Ji; Chiwoo Park; Minsoo Kim 003 (ICCSA (4), 2006)

Dynamic Data-Driven Fault Diagnosis of Wind Turbine Systems. - Yu Ding 002; Eunshin Byon; Chiwoo Park; Jiong Tang; Yi Lu; Xin Wang (International Conference on Computational Science (1), 2007)

Collaborative data reduction for energy efficient sensor networks. - Chiwoo Park; Yu Ding 002; Eunshin Byon (CASE, 2008)

A Computable Plug-In Estimator of Minimum Volume Sets for Novelty Detection. - Chiwoo Park; Jianhua Z. Huang; Yu Ding 002 (Oper. Res., 2010)

Domain Decomposition Approach for Fast Gaussian Process Regression of Large Spatial Data Sets. - Chiwoo Park; Jianhua Z. Huang; Yu Ding 002 (J. Mach. Learn. Res., 2011)

GPLP: A Local and Parallel Computation Toolbox for Gaussian Process Regression. - Chiwoo Park; Jianhua Z. Huang; Yu Ding 002 (J. Mach. Learn. Res., 2012)

Segmentation, Inference and Classification of Partially Overlapping Nanoparticles. - Chiwoo Park; Jianhua Z. Huang; Jim X. Ji; Yu Ding 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Estimating Multiple Pathways of Object Growth Using Nonlongitudinal Image Data. - Chiwoo Park (Technometrics, 2014)

Minimum Cost Multi-Way Data Association for Optimizing Multitarget Tracking of Interacting Objects. - Chiwoo Park; Taylor J. Woehl; James E. Evans; Nigel D. Browning (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Two-Level Structural Sparsity Regularization for Finding Lattice Locations and Defects in Noisy Image Data. - Xin Li; Alex Belianinov; Stephen Jesse; Chiwoo Park (CoRR, 2016)

Optimal Filtered Backprojection for Fast and Accurate Tomography Reconstruction. - Chen Mu; Chiwoo Park (CoRR, 2016)

Robust Matrix Decomposition for Image Segmentation under Heavy Noises and Uneven Background Intensities. - Garret Vo; Chiwoo Park (CoRR, 2016)

Efficient Computation of Gaussian Process Regression for Large Spatial Data Sets by Patching Local Gaussian Processes. - Chiwoo Park; Jianhua Z. Huang (J. Mach. Learn. Res., 2016)

Patchwork Kriging for Large-scale Gaussian Process Regression. - Chiwoo Park; Daniel W. Apley (J. Mach. Learn. Res., 2018)

Robust regression for image binarization under heavy noise and nonuniform background. - Garret Vo; Chiwoo Park (Pattern Recognit., 2018)

Directional Statistics of Preferential Orientations of Two Shapes in Their Aggregate and Its Application to Nanoparticle Aggregation. - Ali Esmaieeli Sikaroudi; David A. Welch 002; Taylor J. Woehl; Roland Faller; James E. Evans; Nigel D. Browning; Chiwoo Park (Technometrics, 2018)

Sequential Adaptive Design for Jump Regression Estimation. - Chiwoo Park; Peihua Qiu (CoRR, 2019)

Dynamic Data-Driven Distribution Tracking of Nanoparticle Morphology. - Chiwoo Park; Yu Ding 002 (DDDAS, 2020)

Variable selection for Gaussian process regression through a sparse projection. - Chiwoo Park; David J. Borth; Nicholas S. Wilson; Chad N. Hunter (CoRR, 2020)

Sparse filtered SIRT for electron tomography. - Chen Mu; Chiwoo Park (Pattern Recognit., 2020)

Gaussian Process Model for Estimating Piecewise Continuous Regression Functions. - Chiwoo Park (CoRR, 2021)

Data association algorithm for large-scale multi-object tracking with complex interactions. - Garret Vo; Dmitri N. Zakharov; Chiwoo Park (J. Electronic Imaging, 2021)

Average Flow Time Estimation and Its Application for Storage Relocation in an Order Picking System. - Jeongwon Park; Permata Vallentino Eko Joatiko; Chiwoo Park; Soondo Hong (APMS (1), 2022)

Jump Gaussian Process Model for Estimating Piecewise Continuous Regression Functions. - Chiwoo Park (J. Mach. Learn. Res., 2022)

Robust Gaussian process regression with a bias model. - Chiwoo Park; David J. Borth; Nicholas S. Wilson; Chad N. Hunter; Fritz J. Friedersdorf (Pattern Recognit., 2022)

Data Science for Motion and Time Analysis with Modern Motion Sensor Data. - Chiwoo Park; Sang Do Noh; Anuj Srivastava (Oper. Res., 2022)

Active Learning of Piecewise Gaussian Process Surrogates. - Chiwoo Park; Robert Waelder; Bonggwon Kang; Benji Maruyama; Soondo Hong; Robert B. Gramacy (CoRR, 2023)

Gaussian process-based storage location assignments with risk assessments for progressive zone picking systems. - Jeongwon Park; Chiwoo Park; Soondo Hong (Comput. Ind. Eng., 2023)

A Wasserstein-Type Distance for Gaussian Mixtures on Vector Bundles with Applications to Shape Analysis. - Michael Wilson; Tom Needham; Chiwoo Park; Suparteek Kundu; Anuj Srivastava (SIAM J. Imaging Sci., 2024)

Bayesian Optimization for the Vehicle Dwelling Policy in a Semiconductor Wafer Fab. - Bonggwon Kang; Chiwoo Park; Haejoong Kim; Soondo Hong (IEEE Trans Autom. Sci. Eng., 2024)

Modular Jump Gaussian Processes. - Anna R. Flowers; Christopher T. Franck; Mickaël Binois; Chiwoo Park; Robert B. Gramacy (CoRR, 2025)

Deep Jump Gaussian Processes for Surrogate Modeling of High-Dimensional Piecewise Continuous Functions. - Yang Xu; Chiwoo Park (CoRR, 2025)