JooYong Shim

26 papers A 1B 1C 2Journal 16Unranked 6
YearRankTypeTitle / Venue / Authors
2025 A conf
AQUA: Hardware-Agnostic Qubit Allocation for Quantum Multi-Programming.
IPDPS
XinYu Piao, JooYong Shim, Joongheon Kim, Jong-Kook Kim
2024 — conf
Diffusion-Based Quantum Error Mitigation Using Stochastic Differential Equation.
APWCS
JooYong Shim, Joongheon Kim
2024 J jnl
The Bid Picture: Auction-Inspired Multi-player Generative Adversarial Networks Training.
CoRR
JooYong Shim, Jean Seong Bjorn Choe, Jong-Kook Kim
2023 J jnl
Audio-to-Visual Cross-Modal Generation of Birds.
IEEE Access
JooYong Shim, Joongheon Kim, Jong-Kook Kim
2022 J jnl
Cross-Modal Contrastive Representation Learning for Audio-to-Image Generation.
CoRR
Hae-Chun Chung, JooYong Shim, Jong-Kook Kim
2021 — conf
On the Tradeoff between Computation-Time and Learning-Accuracy in GAN-based Super-Resolution Deep Learning.
ICOIN
JooYong Shim, Joongheon Kim, Jong-Kook Kim
2020 B conf
S2I-Bird: Sound-to-Image Generation of Bird Species using Generative Adversarial Networks.
ICPR
JooYong Shim, Joongheon Kim, Jong-Kook Kim
2017 J jnl
Kernel-based orthogonal quantile regression model.
Model. Assist. Stat. Appl.
JooYong Shim, Changha Hwang
2017 J jnl
Kernel-based random effect time-varying coefficient model for longitudinal data.
Neurocomputing
JooYong Shim, Insuk Sohn, Changha Hwang
2016 J jnl
Support vector quantile regression with varying coefficients.
Comput. Stat.
JooYong Shim, Changha Hwang, Kyung Ha Seok
2015 J jnl
Varying coefficient modeling via least squares support vector regression.
Neurocomputing
JooYong Shim, Changha Hwang
2014 J jnl
Composite support vector quantile regression estimation.
Comput. Stat.
JooYong Shim, Changha Hwang, Kyung Ha Seok
2014 J jnl
Estimating small area mean with mixed and fixed effects support vector median regressions.
Neurocomputing
JooYong Shim, Changha Hwang
2014 J jnl
Semiparametric spatial effects kernel minimum squared error model for predicting housing sales prices.
Neurocomputing
JooYong Shim, Okmyung Bin, Changha Hwang
2012 J jnl
Estimating value at risk with semiparametric support vector quantile regression.
Comput. Stat.
JooYong Shim, Yongtae Kim, Jangtaek Lee, Changha Hwang
2011 J jnl
Semiparametric mixed-effect least squares support vector machine for analyzing pharmacokinetic and pharmacodynamic data.
Neurocomputing
Kyung Ha Seok, JooYong Shim, Daehyeon Cho, Gyu-Jeong Noh, Changha Hwang
2009 J jnl
Informative transcription factor selection using support vector machine-based generalized approximate cross validation criteria.
Comput. Stat. Data Anal.
Insuk Sohn, JooYong Shim, Changha Hwang, Sujong Kim, Jae Won Lee
2009 J jnl
Non-crossing quantile regression via doubly penalized kernel machine.
Comput. Stat.
JooYong Shim, Changha Hwang, Kyung Ha Seok
2009 J jnl
Selecting marker genes for cancer classification using supervised weighted kernel clustering and the support vector machine.
Comput. Stat. Data Anal.
JooYong Shim, Insuk Sohn, Sujong Kim, Jae Won Lee, Paul E. Green, Changha Hwang
2009 J jnl
Support vector censored quantile regression under random censoring.
Comput. Stat. Data Anal.
JooYong Shim, Changha Hwang
2006 C conf
Locally Weighted LS-SVM for Fuzzy Nonlinear Regression with Fuzzy Input-Output.
CIS
Dug Hun Hong, Changha Hwang, JooYong Shim, Kyung Ha Seok
2006 — conf
Robust LS-SVM Regression Using Fuzzy C-Means Clustering.
ICNC (1)
JooYong Shim, Changha Hwang, Sungkyun Nau
2005 — conf
A Simple Quantile Regression via Support Vector Machine.
ICNC (1)
Changha Hwang, JooYong Shim
2005 — conf
Doubly Regularized Kernel Regression with Heteroscedastic Censored Data.
ICNC (1)
JooYong Shim, Changha Hwang
2005 — conf
Interval Regression Analysis Using Support Vector Machine and Quantile Regression.
FSKD (1)
Changha Hwang, Dug Hun Hong, Eunyoung Na, Hyejung Park, JooYong Shim
2003 C conf
Incremental Feature Extraction Based on Empirical Kernel Map.
ISMIS
Byung-Joo Kim, JooYong Shim, Changha Hwang, Il Kon Kim, Joon Hyun Song