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Jaehoon Koo
ORCID
Publication Activity (10 Years)
Years Active: 2001-2024
Publications (10 Years): 16
Top Topics
Limited Budget
Recurrent Neural Networks
Marginal Distributions
Reinforcement Learning
Top Venues
CoRR
IEEE BigData
CLUSTER
CNSM
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Publications
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Thomas Randall
,
Jaehoon Koo
,
Brice Videau
,
Michael Kruse
,
Xingfu Wu
,
Paul D. Hovland
,
Mary W. Hall
,
Rong Ge
,
Prasanna Balaprakash
Transfer-Learning-Based Autotuning Using Gaussian Copula.
CoRR
(2024)
Thomas Randall
,
Jaehoon Koo
,
Brice Videau
,
Michael Kruse
,
Xingfu Wu
,
Paul D. Hovland
,
Mary W. Hall
,
Rong Ge
,
Prasanna Balaprakash
Transfer-learning-based Autotuning using Gaussian Copula.
ICS
(2023)
Xingfu Wu
,
Prasanna Balaprakash
,
Michael Kruse
,
Jaehoon Koo
,
Brice Videau
,
Paul D. Hovland
,
Valerie E. Taylor
,
Brad Geltz
,
Siddhartha Jana
,
Mary W. Hall
ytopt: Autotuning Scientific Applications for Energy Efficiency at Large Scales.
CoRR
(2023)
Jaehoon Koo
,
Diego Klabjan
,
Jean Utke
An inverse classification framework with limited budget and maximum number of perturbed samples.
Expert Syst. Appl.
212 (2023)
Matthieu Dorier
,
Romain Egele
,
Prasanna Balaprakash
,
Jaehoon Koo
,
Sandeep Madireddy
,
Srinivasan Ramesh
,
Allen D. Malony
,
Robert B. Ross
HPC Storage Service Autotuning Using Variational- Autoencoder -Guided Asynchronous Bayesian Optimization.
CLUSTER
(2022)
Matthieu Dorier
,
Romain Egele
,
Prasanna Balaprakash
,
Jaehoon Koo
,
Sandeep Madireddy
,
Srinivasan Ramesh
,
Allen D. Malony
,
Robert B. Ross
HPC Storage Service Autotuning Using Variational-Autoencoder-Guided Asynchronous Bayesian Optimization.
CoRR
(2022)
Jaehoon Koo
,
Sangheum Hwang
A Unified Defect Pattern Analysis of Wafer Maps Using Density-Based Clustering.
IEEE Access
9 (2021)
Jaehoon Koo
,
Prasanna Balaprakash
,
Michael Kruse
,
Xingfu Wu
,
Paul D. Hovland
,
Mary W. Hall
Customized Monte Carlo Tree Search for LLVM/Polly's Composable Loop Optimization Transformations.
PMBS
(2021)
Jaehoon Koo
,
Prasanna Balaprakash
,
Michael Kruse
,
Xingfu Wu
,
Paul D. Hovland
,
Mary W. Hall
Customized Monte Carlo Tree Search for LLVM/Polly's Composable Loop Optimization Transformations.
CoRR
(2021)
Jaehoon Koo
,
Diego Klabjan
Improved Classification Based on Deep Belief Networks.
ICANN (1)
(2020)
Jaehoon Koo
,
Diego Klabjan
,
Jean Utke
Combined Convolutional and Recurrent Neural Networks for Hierarchical Classification of Images.
IEEE BigData
(2020)
Jaehoon Koo
,
Diego Klabjan
,
Jean Utke
Inverse Classification with Limited Budget and Maximum Number of Perturbed Samples.
CoRR
(2020)
Jaehoon Koo
,
Veena B. Mendiratta
,
Muntasir Raihan Rahman
,
Anwar Walid
Deep Reinforcement Learning for Network Slicing with Heterogeneous Resource Requirements and Time Varying Traffic Dynamics.
CoRR
(2019)
Jaehoon Koo
,
Veena B. Mendiratta
,
Muntasir Raihan Rahman
,
Anwar Walid
Deep Reinforcement Learning for Network Slicing with Heterogeneous Resource Requirements and Time Varying Traffic Dynamics.
CNSM
(2019)
Jaehoon Koo
,
Diego Klabjan
Improved Classification Based on Deep Belief Networks.
CoRR
(2018)
Jaehoon Koo
,
Diego Klabjan
,
Jean Utke
Combined convolutional and recurrent neural networks for hierarchical classification of images.
CoRR
(2018)
Michael K. Ng
,
Jaehoon Koo
,
Nirmal K. Bose
Constrained total least-squares computations for high-resolution image reconstruction with multisensors.
Int. J. Imaging Syst. Technol.
12 (1) (2002)
Nirmal K. Bose
,
Surapong Lertrattanapanich
,
Jaehoon Koo
Advances in superresolution using L-curve.
ISCAS (2)
(2001)