Jaehoon Koo

According to our database, Jaehoon Koo authored at least 12 papers between 2001 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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, Brad Geltz, Siddhartha Jana, Mary W. Hall

CoRR, 2023

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, Prasanna Balaprakash

Proceedings of the 37th International Conference on Supercomputing, 2023

2022

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

Proceedings of the IEEE International Conference on Cluster Computing, 2022

2021

A Unified Defect Pattern Analysis of Wafer Maps Using Density-Based Clustering.

Jaehoon Koo, Sangheum Hwang

IEEE Access, 2021

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

Proceedings of the 2021 International Workshop on Performance Modeling, 2021

2020

Inverse Classification with Limited Budget and Maximum Number of Perturbed Samples.

Jaehoon Koo, Diego Klabjan, Jean Utke

CoRR, 2020

Improved Classification Based on Deep Belief Networks.

Jaehoon Koo, Diego Klabjan

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Combined Convolutional and Recurrent Neural Networks for Hierarchical Classification of Images.

Jaehoon Koo, Diego Klabjan, Jean Utke

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

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

Proceedings of the 15th International Conference on Network and Service Management, 2019

2002

Constrained total least-squares computations for high-resolution image reconstruction with multisensors.

Michael K. Ng, Jaehoon Koo, Nirmal K. Bose

Int. J. Imaging Syst. Technol., 2002

2001

Advances in superresolution using L-curve.

Nirmal K. Bose, Surapong Lertrattanapanich, Jaehoon Koo

Proceedings of the 2001 International Symposium on Circuits and Systems, 2001