Lot sizing with minimum order quantity. - Young Woong Park; Diego Klabjan (Discret. Appl. Math., 2015)

Lifting for mixed integer programs with variable upper bounds. - Sergey Shebalov; Young Woong Park; Diego Klabjan (Discret. Appl. Math., 2015)

Iteratively Reweighted Least Squares Algorithms for L1-Norm Principal Component Analysis. - Young Woong Park; Diego Klabjan (ICDM, 2016)

Algorithms for Generalized Cluster-wise Linear Regression. - Young Woong Park; Yan Jiang; Diego Klabjan; Loren Williams (CoRR, 2016)

An aggregate and iterative disaggregate algorithm with proven optimality in machine learning. - Young Woong Park; Diego Klabjan (Mach. Learn., 2016)

Algorithms for Generalized Clusterwise Linear Regression. - Young Woong Park; Yan Jiang; Diego Klabjan; Loren Williams (INFORMS J. Comput., 2017)

Bayesian Network Learning via Topological Order. - Young Woong Park; Diego Klabjan (J. Mach. Learn. Res., 2017)

Three iteratively reweighted least squares algorithms for L1 -norm principal component analysis. - Young Woong Park; Diego Klabjan (Knowl. Inf. Syst., 2018)

MILP Models for Complex System Reliability Redundancy Allocation with Mixed Components. - Young Woong Park (INFORMS J. Comput., 2020)

Subset selection for multiple linear regression via optimization. - Young Woong Park; Diego Klabjan (J. Glob. Optim., 2020)

A mathematical programming approach for integrated multiple linear regression subset selection and validation. - Seokhyun Chung; Young Woong Park; Taesu Cheong (Pattern Recognit., 2020)

A Mathematical Programming Approach for Imputation of Unknown Journal Ratings in a Combined Journal Quality List. - Jinhak Kim; Young Woong Park; Alvin J. Williams (Decis. Sci., 2021)

Optimization for L1-Norm Error Fitting via Data Aggregation. - Young Woong Park (INFORMS J. Comput., 2021)

An analysis of the ripple effect for disruptions occurring in circular flows of a supply chain network. - Young Woong Park; Jennifer Blackhurst; Chinju Paul; Kevin P. Scheibe (Int. J. Prod. Res., 2022)

CIO Turnover and its Consequences for Competitors. - Yeasung Jeong; Kang-Bok Lee; Sumin Han; Young Woong Park; Junyoung Park (AMCIS, 2023)

Joint Effects and Sequencing of Government Regulations in Sharing Economy Era. - Jiana Meng; Young Woong Park; Chen Zhang (AMCIS, 2024)

Observation weights matching approach for causal inference. - Kangbok Lee; Sumin Han; Hyeoncheol Baik; Yeasung Jeong; Young Woong Park (Pattern Recognit., 2024)

Discordance minimization-based imputation algorithms for missing values in rating data. - Young Woong Park; Jinhak Kim; Dan Zhu (Mach. Learn., 2024)

A systematic approach for learning imbalanced data: enhancing zero-inflated models through boosting. - Yeasung Jeong; Kangbok Lee; Young Woong Park; Sumin Han (Mach. Learn., 2024)

Integrated subset selection and bandwidth estimation algorithm for geographically weighted regression. - Hyunwoo Lee; Young Woong Park (Pattern Recognit., 2025)