Joong-Ho Won

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 30

Top Topics

Robust Optimization

Damage Assessment

Top Venues

Publications

Juno Kim, Jaehyuk Kwon, Mincheol Cho, Hyunjong Lee, Joong-Ho Won
$t^3$-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence. ICLR (2024)
Joong-Ho Won, Jihan Jung
On the Correctness of the Generalized Isotonic Recursive Partitioning Algorithm. CoRR (2024)
Juno Kim, Jaehyuk Kwon, Mincheol Cho, Hyunjong Lee, Joong-Ho Won
-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence. CoRR (2023)
Young-geun Kim, Kyungbok Lee, Youngwon Choi, Joong-Ho Won, Myunghee Cho Paik
Wasserstein Geodesic Generator for Conditional Distributions. CoRR (2023)
Joong-Ho Won, Kenneth Lange, Jason Xu
-ball projection problems. Optim. Lett. 17 (5) (2023)
Sungdong Lee, Leonard Sunwoo, Youngwon Choi, Jae Hyup Jung, Seung Chai Jung, Joong-Ho Won
Impact of Diffusion-Perfusion Mismatch on Predicting Final Infarction Lesion Using Deep Learning. IEEE Access 10 (2022)
Joong-Ho Won, Teng Zhang, Hua Zhou
Orthogonal Trace-Sum Maximization: Tightness of the Semidefinite Relaxation and Guarantee of Locally Optimal Solutions. SIAM J. Optim. 32 (3) (2022)
Yoonhyung Lee, Sungdong Lee, Joong-Ho Won
Statistical inference with implicit SGD: proximal Robbins-Monro vs. Polyak-Ruppert. CoRR (2022)
Yoonhyung Lee, Sungdong Lee, Joong-Ho Won
Statistical inference with implicit SGD: proximal Robbins-Monro vs. Polyak-Ruppert. ICML (2022)
Seyoon Ko, Ginny X. Li, Hyungwon Choi, Joong-Ho Won
Computationally scalable regression modeling for ultrahigh-dimensional omics data with ParProx. Briefings Bioinform. 22 (6) (2021)
Youngwon Choi, Sungdong Lee, Joong-Ho Won
Learning from Nested Data with Ornstein Auto-Encoders. ICML (2021)
Joong-Ho Won, Hua Zhou, Kenneth Lange
Orthogonal Trace-Sum Maximization: Applications, Local Algorithms, and Global Optimality. SIAM J. Matrix Anal. Appl. 42 (2) (2021)
Joong-Ho Won
Proximity Operator of the Matrix Perspective Function and its Applications. NeurIPS (2020)
Seyoon Ko, Hua Zhou, Jin Zhou, Joong-Ho Won
DistStat.jl: Towards Unified Programming for High-Performance Statistical Computing Environments in Julia. CoRR (2020)
Yongchan Kwon, Wonyoung Kim, Joong-Ho Won, Myunghee Cho Paik
Principled learning method for Wasserstein distributionally robust optimization with local perturbations. ICML (2020)
Yongchan Kwon, Wonyoung Kim, Joong-Ho Won, Myunghee Cho Paik
Principled Learning Method for Wasserstein distributionally robust optimization with local perturbations. CoRR (2020)
Ernest K. Ryu, Seyoon Ko, Joong-Ho Won
Splitting with Near-Circulant Linear Systems: Applications to Total Variation CT and PET. SIAM J. Sci. Comput. 42 (1) (2020)
Yongchan Kwon, Joong-Ho Won, Beomjoon Kim, Myunghee Cho Paik
Uncertainty quantification using Bayesian neural networks in classification: Application to biomedical image segmentation. Comput. Stat. Data Anal. 142 (2020)
Sangoh Jeong, Hyun-Soo Kim, KyuWoon Kim, Byeong-Moon Jeon, Joong-Ho Won
A real-time 3D video analyzer for enhanced 3D audio-visual systems. Multim. Syst. 26 (2) (2020)
Youngwon Choi, Joong-Ho Won
Ornstein Auto-Encoders. IJCAI (2019)
Joong-Ho Won, Jason Xu, Kenneth Lange
Projection onto Minkowski Sums with Application to Constrained Learning. ICML (2019)
Seyoon Ko, Joong-Ho Won
Optimal Minimization of the Sum of Three Convex Functions with a Linear Operator. AISTATS (2019)
Baekjin Kim, Donghyeon Yu, Joong-Ho Won
Comparative study of computational algorithms for the Lasso with high-dimensional, highly correlated data. Appl. Intell. 48 (8) (2018)
Seung-Jean Kim, Johan Lim, Joong-Ho Won
Nonparametric Sharpe Ratio Function Estimation in Heteroscedastic Regression Models via Convex Optimization. AISTATS (2018)
Taehoon Lee, Sungmin Lee, Woo Young Sim, Yu Mi Jung, Sunmi Han, Joong-Ho Won, Hyeyoung Min, Sungroh Yoon
HiComet: a high-throughput comet analysis tool for large-scale DNA damage assessment. BMC Bioinform. (1) (2018)
Taehoon Lee, Sungmin Lee, Woo Young Sim, Yu Mi Jung, Sunmi Han, Joong-Ho Won, Hyeyoung Min, Sungroh Yoon
Correction to: HiComet: a high-throughput comet analysis tool for large-scale DNA damage assessment. BMC Bioinform. 19 (1) (2018)
Seunghyun Park, Hyun-Soo Choi, Byunghan Lee, Jongsik Chun, Joong-Ho Won, Sungroh Yoon
hc-OTU: A Fast and Accurate Method for Clustering Operational Taxonomic Units Based on Homopolymer Compaction. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (2) (2018)
Joungyoun Kim, Donghyeon Yu, Johan Lim, Joong-Ho Won
A peeling algorithm for multiple testing on a random field. Comput. Stat. 33 (1) (2018)
Joong-Ho Won, Xiao Wu, Sang Han Lee, Ying Lu
Cross-sectional design with a short-term follow-up for prognostic imaging biomarkers. Comput. Stat. Data Anal. 113 (2017)
Youngwon Choi, Yongchan Kwon, Han-Byul Lee, Beomjoon Kim, Myunghee Cho Paik, Joong-Ho Won
Ensemble of Deep Convolutional Neural Networks for Prognosis of Ischemic Stroke. BrainLes@MICCAI (2016)
Joong-Ho Won, Yongkweon Jeon, Jarrett Rosenberg, Sungroh Yoon, Geoffrey D. Rubin, Sandy Napel
Uncluttered Single-Image Visualization of Vascular Structures Using GPU and Integer Programming. IEEE Trans. Vis. Comput. Graph. 19 (1) (2013)
Yongkweon Jeon, Joong-Ho Won, Sungroh Yoon
Massively Parallel Energy Space Exploration for Uncluttered Visualization of Vascular Structures. IEEE Trans. Biomed. Eng. 60 (1) (2013)
Johan Lim, Joong-Ho Won
ROC convex hull and nonparametric maximum likelihood estimation. Mach. Learn. 88 (3) (2012)
Joong-Ho Won, Geoffrey D. Rubin, Sandy Napel
Flattening the Abdominal Aortic Tree for Effective Visualization. EMBC (2006)