Articles Published (Corresponding Author in Blue)

  • K. Yan and H.S. Ryoo, "Graph, Clique and Facet of Boolean Logical Polytope," Journal of Global Optimization, 82:1015–1052, 2022 (https://doi.org/10.1007/s10898-021-01107-x)

  • C. Guo and H.S. Ryoo, "On Pareto-Optimal Boolean Logical Patterns for Numerical Data," Applied Mathematics and Computation, 403:126-153, 2021

  • Z. Ma and H.S. Ryoo, "Spherical Classification of Data; a New Rule-Based Learning Method," Journal of Classification, 38:44-71, 2021

  • K. Yan and H.S. Ryoo, "A Multi-Term, Polyhedral Relaxation of a 0-1 Multilinear Function for Boolean Logical Pattern Generation," Journal of Global Optimization, 74:705-735, 2019

  • K. Yan and H.S. Ryoo, "Strong Valid Inequalities for Boolean Logical Pattern Generation," Journal of Global Optimization, 69(1):183-230, 2017

  • K. Yan and H.S. Ryoo, "0-1 Multilinear Programming as a Unifying Theory for LAD Pattern Generation," Discrete Applied Mathematics, 218:21-39, February, 2017

  • C. Guo and H.S. Ryoo, “Compact MILP Models for Optimal and Pareto-Optimal LAD Patterns,” Discrete Applied Mathematics, 160(16-17):2339-2348, 2012

  • Z. Ma and H.S. Ryoo, “General Set Covering for Feature Selection in Data Mining,” Management Science & Financial Engineering, 18(2):13-17, 2012

  • H.S. Ryoo and In-Yong Jang, “MILP Approach to Pattern Generation in Logical Analysis of Data,” Discrete Applied Mathematics, 157(4):749-761, 2009

  • H.S. Ryoo and M. Ehrgott, “Biomedical Informatics and OR,” OR Spectrum, 30(2):219-221, 2008

  • K. Kim and H.S. Ryoo, “A LAD-based method for selecting short oligo probes for genotyping applications,” OR Spectrum, 30(2):249-268, 2008

  • K. Kim and H.S. Ryoo, “Nonlinear separation of data via mixed 0-1 integer and linear programming,” Applied Mathematics and Computation, 193(1):183-196, 2007

  • H.S. Ryoo, “A compact mean-variance-skewness model for large-scale portfolio optimization and its application to the NYSE Market,” Journal of the OR Society, 58(4):505-515, 2007

  • K. Kim and H.S. Ryoo, “Data separation via a finite number of discriminant functions: a global optimization approach,” Applied Mathematics and Computation, 190(1):476-489, 2007

  • H.S. Ryoo, “Pattern classification via k-piecewise linear discriminants,” Computers & IE, 51(1):79-89, 2006

  • H.S. Ryoo and P. Ayyalasomayajula, “A Simulation-Based Heuristic Procedure for Analyzing Human Postural Balance,” OR Spectrum, 28:399-415, 2006

  • H.S. Ryoo, “Robust metaheuristic algorithm for redundancy optimization in large-scale complex systems,” Annals of Operations Research, 133:209-228, 2005

  • H.S. Ryoo and N.V. Sahinidis, “Global Optimization of Multiplicative Programs,” Journal of Global Optimization, 25(4):387-418, 2003

  • H.S. Ryoo and N.V. Sahinidis, “Analysis of Bounds for Multilinear Functions,” Journal of Global Optimization, 19(4):403-424, 2001

  • H.S. Ryoo and N.V. Sahinidis, “A Branch-and-Reduce Approach to Global Optimization,” Journal of Global Optimization, 8(2):107-138, 1996

  • H.S. Ryoo and N.V. Sahinidis, “Global Optimization of Nonconvex NLPs and MINLPs with Applications in Process Design,” Computers & Chemical Engineering, 19(5):551-566, 1995

Articles Published in Refereed Conference Proceedings (Corresponding Author in Blue)

  • D. Kang, S. Kim, Y. Jung and H.S. Ryoo, "Generating Interpretable Patterns for Biomedical Image Classification," In 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), IEEE, 1658-1660, 2021

  • T. Jung and H.S. Ryoo, "Analysis of Brain fMRI Data via Topological Data Clustering Method IoPS," In 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), IEEE, 1655-1657, 2021

  • S. Kim, S. Noh, and H.S. Ryoo, "Identifying Combinatorial Significance for Classification of Alzheimer’s Disease Proteomics Expression with Logical Analysis of Data," In 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), IEEE, 1661-1663, 2021

  • K. Yan and H.S. Ryoo, "Cliques for Multi-Term Linearization of 0–1 Multilinear Program for Boolean Logical Pattern Generation," In: Optimization of Complex Systems: Theory, Models, Algorithms and Applications, Advances in Intelligent Systems and Computing 991, 376-386, 2019

  • I.-Y. Jang and H.S. Ryoo, “A heuristic method for selecting support features from large datasets,” LNCS 4508, 411-423, 2007 (The acceptance rate for AAIM 2007 was 30%.)

  • K. Kim and H.S. Ryoo, “Selecting genotyping oligo prbes via logical analysis of data,” LNAI 4509, 86-97, 2007 (The acceptance rate for CanAI 2007 was 20%.)

  • M. Caserta and H.S. Ryoo, “Efficient Tabu Search-Based Procedure for Optimal Redundancy Allocation in Complex System Reliability,” The Proceedings of 5th International Conference on Optimization: Theory and Applications, 2, 592-599, 2001