Jaehoon Koo - RankMe

19 papers A 1B 1C 1Journal 12Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ytopt: Autotuning Scientific Applications for Energy Efficiency at Large Scales. Concurr. Comput. Pract. Exp. Xingfu Wu, Prasanna Balaprakash, Michael Kruse, Jaehoon Koo, Brice Videau, Paul D. Hovland, Valerie Taylor, Brad Geltz, Siddhartha Jana, Mary W. Hall
2024	J	`jnl`	Transfer-Learning-Based Autotuning Using Gaussian Copula. CoRR Thomas Randall, Jaehoon Koo, Brice Videau, Michael Kruse, Xingfu Wu, Paul D. Hovland, Mary W. Hall, Rong Ge, Prasanna Balaprakash
2023	J	`jnl`	An inverse classification framework with limited budget and maximum number of perturbed samples. Expert Syst. Appl. Jaehoon Koo, Diego Klabjan, Jean Utke
2023	A	`conf`	Transfer-learning-based Autotuning using Gaussian Copula. ICS Thomas Randall, Jaehoon Koo, Brice Videau, Michael Kruse, Xingfu Wu, Paul D. Hovland, Mary W. Hall, Rong Ge, Prasanna Balaprakash
2023	J	`jnl`	ytopt: Autotuning Scientific Applications for Energy Efficiency at Large Scales. CoRR Xingfu Wu, Prasanna Balaprakash, Michael Kruse, Jaehoon Koo, Brice Videau, Paul D. Hovland, Valerie Taylor, Brad Geltz, Siddhartha Jana, Mary W. Hall
2022	C	`conf`	HPC Storage Service Autotuning Using Variational- Autoencoder -Guided Asynchronous Bayesian Optimization. CLUSTER Matthieu Dorier, Romain Egele, Prasanna Balaprakash, Jaehoon Koo, Sandeep Madireddy, Srinivasan Ramesh, Allen D. Malony, Robert B. Ross
2022	J	`jnl`	HPC Storage Service Autotuning Using Variational-Autoencoder-Guided Asynchronous Bayesian Optimization. CoRR Matthieu Dorier, Romain Egele, Prasanna Balaprakash, Jaehoon Koo, Sandeep Madireddy, Srinivasan Ramesh, Allen D. Malony, Robert B. Ross
2021	J	`jnl`	A Unified Defect Pattern Analysis of Wafer Maps Using Density-Based Clustering. IEEE Access Jaehoon Koo, Sangheum Hwang
2021	—	`conf`	Customized Monte Carlo Tree Search for LLVM/Polly's Composable Loop Optimization Transformations. PMBS Jaehoon Koo, Prasanna Balaprakash, Michael Kruse, Xingfu Wu, Paul D. Hovland, Mary W. Hall
2021	J	`jnl`	Customized Monte Carlo Tree Search for LLVM/Polly's Composable Loop Optimization Transformations. CoRR Jaehoon Koo, Prasanna Balaprakash, Michael Kruse, Xingfu Wu, Paul D. Hovland, Mary W. Hall
2020	—	`conf`	Combined Convolutional and Recurrent Neural Networks for Hierarchical Classification of Images. IEEE BigData Jaehoon Koo, Diego Klabjan, Jean Utke
2020	—	`conf`	Improved Classification Based on Deep Belief Networks. ICANN (1) Jaehoon Koo, Diego Klabjan
2020	J	`jnl`	Inverse Classification with Limited Budget and Maximum Number of Perturbed Samples. CoRR Jaehoon Koo, Diego Klabjan, Jean Utke
2019	B	`conf`	Deep Reinforcement Learning for Network Slicing with Heterogeneous Resource Requirements and Time Varying Traffic Dynamics. CNSM Jaehoon Koo, Veena B. Mendiratta, Muntasir Raihan Rahman, Anwar Walid
2019	J	`jnl`	Deep Reinforcement Learning for Network Slicing with Heterogeneous Resource Requirements and Time Varying Traffic Dynamics. CoRR Jaehoon Koo, Veena B. Mendiratta, Muntasir Raihan Rahman, Anwar Walid
2018	J	`jnl`	Combined convolutional and recurrent neural networks for hierarchical classification of images. CoRR Jaehoon Koo, Diego Klabjan, Jean Utke
2018	J	`jnl`	Improved Classification Based on Deep Belief Networks. CoRR Jaehoon Koo, Diego Klabjan
2002	J	`jnl`	Constrained total least-squares computations for high-resolution image reconstruction with multisensors. Int. J. Imaging Syst. Technol. Michael K. Ng, Jaehoon Koo, Nirmal K. Bose
2001	—	`conf`	Advances in superresolution using L-curve. ISCAS (2) Nirmal K. Bose, Surapong Lertrattanapanich, Jaehoon Koo