Long-range dependence in a changing Internet traffic mix. - Cheolwoo Park; Félix Hernández-Campos; J. S. Marron; F. Donelson Smith (Comput. Networks, 2005)

On the wavelet spectrum diagnostic for Hurst parameter estimation in the analysis of Internet traffic. - Stilian Stoev; Murad S. Taqqu; Cheolwoo Park; J. S. Marron (Comput. Networks, 2005)

Capturing the Elusive Poissonity in Web Traffic. - Cheolwoo Park; H. Shen; J. S. Marron; Félix Hernández-Campos; Darryl Veitch (MASCOTS, 2006)

Gene selection using support vector machines with non-convex penalty. - Hao Helen Zhang; Jeongyoun Ahn; Xiaodong Lin 004; Cheolwoo Park (Bioinform., 2006)

LASS: a tool for the local analysis of self-similarity. - Stilian Stoev; Murad S. Taqqu; Cheolwoo Park; George Michailidis; J. S. Marron (Comput. Stat. Data Anal., 2006)

Support vector machines with adaptive Lq penalty. - Yufeng Liu; Hao Helen Zhang; Cheolwoo Park; Jeongyoun Ahn (Comput. Stat. Data Anal., 2007)

Visualization and inference based on wavelet coefficients, SiZer and SiNos. - Cheolwoo Park; Fred Godtliebsen; Murad S. Taqqu; Stilian Stoev; J. S. Marron (Comput. Stat. Data Anal., 2007)

SiZer analysis for the comparison of regression curves. - Cheolwoo Park; Kee-Hoon Kang (Comput. Stat. Data Anal., 2008)

Analysis of dependence among size, rate and duration in internet flows - Cheolwoo Park; Félix Hernández-Campos; J. S. Marron; Kevin Jeffay; F. Donelson Smith (CoRR, 2010)

A resampling approach for interval-valued data regression. - Jeongyoun Ahn; Muliang Peng; Cheolwoo Park; Yongho Jeon (Stat. Anal. Data Min., 2012)

Statistical inference and visualization in scale-space using local likelihood. - Cheolwoo Park; Jib Huh (Comput. Stat. Data Anal., 2013)

A Nonparametric Kernel Approach to Interval-Valued Data Analysis. - Yongho Jeon; Jeongyoun Ahn; Cheolwoo Park (Technometrics, 2015)

Tracking concept drift using a constrained penalized regression combiner. - Li-Yu Wang; Cheolwoo Park; Kyupil Yeon; Hosik Choi (Comput. Stat. Data Anal., 2017)

Kernel Methods for Radial Transformed Compositional Data with Many Zeros. - Junyoung Park; Changwon Yoon; Cheolwoo Park; Jeongyoun Ahn (ICML, 2022)

Learning High Dimensional Multi-response Linear Models with Non-oracular Quantum Search. - Jinyang Chen; Cheolwoo Park; Yuan Ke (QCE, 2022)

A group comparison in fMRI data using a semiparametric model under shape invariance. - Arunava Samaddar; Brooke S. Jackson; Christopher J. Helms; Nicole A. Lazar; Jennifer E. McDowell; Cheolwoo Park (Comput. Stat. Data Anal., 2022)

Low-rank, Orthogonally Decomposable Tensor Regression With Application to Visual Stimulus Decoding of fMRI Data. - J. C. Poythress; Jeongyoun Ahn; Cheolwoo Park (J. Comput. Graph. Stat., 2022)

Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via Amalgamation. - Junyoung Park; Jeongyoun Ahn; Cheolwoo Park (ICML, 2023)

Minimax Risks and Optimal Procedures for Estimation under Functional Local Differential Privacy. - Bonwoo Lee; Jeongyoun Ahn; Cheolwoo Park (NeurIPS, 2023)

Fréchet distance-based cluster analysis for multi-dimensional functional data. - Il-Suk Kang; Hosik Choi; Young Joo Yoon; Junyoung Park; Soon-Sun Kwon; Cheolwoo Park (Stat. Comput., 2023)

Quantile estimation for encrypted data. - Minje Park; Jaeseon Kim; Sungchul Shin; Cheolwoo Park; Jong-June Jeon; Soon-Sun Kwon; Hosik Choi (Appl. Intell., 2023)

Differential Privacy in Scalable General Kernel Learning via $K$-means Nystr{ "o}m Random Features. - Bonwoo Lee; Jeongyoun Ahn; Cheolwoo Park (NeurIPS, 2024)

A deep learning paradigm for medical imaging data. - Jinyang Chen; Cheolwoo Park (Expert Syst. Appl., 2024)

Joint estimation of precision matrices for long-memory time series. - Qihu Zhang; Jongik Chung; Cheolwoo Park (Comput. Stat. Data Anal., 2025)

Deep Symbolic Learning for Histogram-Valued Regression Data. - Il-Suk Kang; Donghwa Kim; Hosik Choi; Young Joo Yoon; Cheolwoo Park (Stat. Anal. Data Min., 2025)

Optimal differentially private kernel learning with random projection. - Bonwoo Lee; Cheolwoo Park; Jeongyoun Ahn (CoRR, 2025)

Joint graphical lasso with regularized aggregation. - Jongik Chung; Qihu Zhang; Jennifer E. McDowell; Cheolwoo Park (J. Multivar. Anal., 2026)