Advances in superresolution using L-curve. - Nirmal K. Bose; Surapong Lertrattanapanich; Jaehoon Koo (ISCAS (2), 2001)

Constrained total least-squares computations for high-resolution image reconstruction with multisensors. - Michael K. Ng 001; Jaehoon Koo; Nirmal K. Bose (Int. J. Imaging Syst. Technol., 2002)

Deep Reinforcement Learning for Network Slicing with Heterogeneous Resource Requirements and Time Varying Traffic Dynamics. - Jaehoon Koo; Veena B. Mendiratta; Muntasir Raihan Rahman; Anwar Walid (CNSM, 2019)

Combined Convolutional and Recurrent Neural Networks for Hierarchical Classification of Images. - Jaehoon Koo; Diego Klabjan; Jean Utke (IEEE BigData, 2020)

Improved Classification Based on Deep Belief Networks. - Jaehoon Koo; Diego Klabjan (ICANN (1), 2020)

Inverse Classification with Limited Budget and Maximum Number of Perturbed Samples. - Jaehoon Koo; Diego Klabjan; Jean Utke (CoRR, 2020)

Customized Monte Carlo Tree Search for LLVM/Polly's Composable Loop Optimization Transformations. - Jaehoon Koo; Prasanna Balaprakash; Michael Kruse; Xingfu Wu; Paul D. Hovland; Mary W. Hall (PMBS, 2021)

A Unified Defect Pattern Analysis of Wafer Maps Using Density-Based Clustering. - Jaehoon Koo; Sangheum Hwang (IEEE Access, 2021)

HPC Storage Service Autotuning Using Variational- Autoencoder -Guided Asynchronous Bayesian Optimization. - Matthieu Dorier; Romain Egele; Prasanna Balaprakash; Jaehoon Koo; Sandeep Madireddy; Srinivasan Ramesh; Allen D. Malony; Robert B. Ross (CLUSTER, 2022)

Transfer-learning-based Autotuning using Gaussian Copula. - Thomas Randall; Jaehoon Koo; Brice Videau; Michael Kruse; Xingfu Wu; Paul D. Hovland; Mary W. Hall; Rong Ge 002; Prasanna Balaprakash (ICS, 2023)

An inverse classification framework with limited budget and maximum number of perturbed samples. - Jaehoon Koo; Diego Klabjan; Jean Utke (Expert Syst. Appl., 2023)

ytopt: Autotuning Scientific Applications for Energy Efficiency at Large Scales. - Xingfu Wu; Prasanna Balaprakash; Michael Kruse; Jaehoon Koo; Brice Videau; Paul D. Hovland; Valerie Taylor 001; Brad Geltz; Siddhartha Jana; Mary W. Hall (Concurr. Comput. Pract. Exp., 2025)