Joong-Ho Won

Orcid: 0000-0002-5597-9557

According to our database¹, Joong-Ho Won authored at least 31 papers between 2006 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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In proceedings

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PhD thesis

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Links

On csauthors.net:

Bibliography

2024

On the Correctness of the Generalized Isotonic Recursive Partitioning Algorithm.

[BibT_eX]

[DOI]

Joong-Ho Won

Jihan Jung

CoRR, 2024

2023

A unified analysis of convex and non-convex ℓ <sub>p</sub>-ball projection problems.

[BibT_eX]

[DOI]

Joong-Ho Won

Kenneth Lange

Jason Xu

Optim. Lett., June, 2023

t<sup>3</sup>-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence.

[BibT_eX]

[DOI]

CoRR, 2023

Wasserstein Geodesic Generator for Conditional Distributions.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Orthogonal Trace-Sum Maximization: Tightness of the Semidefinite Relaxation and Guarantee of Locally Optimal Solutions.

[BibT_eX]

[DOI]

Joong-Ho Won

Teng Zhang

Hua Zhou

SIAM J. Optim., September, 2022

Impact of Diffusion-Perfusion Mismatch on Predicting Final Infarction Lesion Using Deep Learning.

[BibT_eX]

[DOI]

IEEE Access, 2022

Statistical inference with implicit SGD: proximal Robbins-Monro vs. Polyak-Ruppert.

[BibT_eX]

[DOI]

Yoonhyung Lee

Sungdong Lee

Joong-Ho Won

Proceedings of the International Conference on Machine Learning, 2022

2021

Orthogonal Trace-Sum Maximization: Applications, Local Algorithms, and Global Optimality.

[BibT_eX]

[DOI]

Joong-Ho Won

Hua Zhou

Kenneth Lange

SIAM J. Matrix Anal. Appl., 2021

Computationally scalable regression modeling for ultrahigh-dimensional omics data with ParProx.

[BibT_eX]

[DOI]

Briefings Bioinform., 2021

Learning from Nested Data with Ornstein Auto-Encoders.

[BibT_eX]

[DOI]

Youngwon Choi

Sungdong Lee

Joong-Ho Won

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Splitting with Near-Circulant Linear Systems: Applications to Total Variation CT and PET.

[BibT_eX]

[DOI]

Ernest K. Ryu

Seyoon Ko

Joong-Ho Won

SIAM J. Sci. Comput., 2020

A real-time 3D video analyzer for enhanced 3D audio-visual systems.

[BibT_eX]

[DOI]

Multim. Syst., 2020

Uncertainty quantification using Bayesian neural networks in classification: Application to biomedical image segmentation.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2020

DistStat.jl: Towards Unified Programming for High-Performance Statistical Computing Environments in Julia.

[BibT_eX]

[DOI]

CoRR, 2020

Proximity Operator of the Matrix Perspective Function and its Applications.

[BibT_eX]

[DOI]

Joong-Ho Won

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Principled learning method for Wasserstein distributionally robust optimization with local perturbations.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Ornstein Auto-Encoders.

[BibT_eX]

[DOI]

Youngwon Choi

Joong-Ho Won

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Projection onto Minkowski Sums with Application to Constrained Learning.

[BibT_eX]

[DOI]

Joong-Ho Won

Jason Xu

Kenneth Lange

Proceedings of the 36th International Conference on Machine Learning, 2019

Optimal Minimization of the Sum of Three Convex Functions with a Linear Operator.

[BibT_eX]

[DOI]

Seyoon Ko

Joong-Ho Won

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

hc-OTU: A Fast and Accurate Method for Clustering Operational Taxonomic Units Based on Homopolymer Compaction.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

A peeling algorithm for multiple testing on a random field.

[BibT_eX]

[DOI]

Comput. Stat., 2018

Correction to: HiComet: a high-throughput comet analysis tool for large-scale DNA damage assessment.

[BibT_eX]

[DOI]

BMC Bioinform., 2018

HiComet: a high-throughput comet analysis tool for large-scale DNA damage assessment.

[BibT_eX]

[DOI]

BMC Bioinform., 2018

Comparative study of computational algorithms for the Lasso with high-dimensional, highly correlated data.

[BibT_eX]

[DOI]

Baekjin Kim

Donghyeon Yu

Joong-Ho Won

Appl. Intell., 2018

Nonparametric Sharpe Ratio Function Estimation in Heteroscedastic Regression Models via Convex Optimization.

[BibT_eX]

[DOI]

Seung-Jean Kim

Johan Lim

Joong-Ho Won

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Cross-sectional design with a short-term follow-up for prognostic imaging biomarkers.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2017

2016

Ensemble of Deep Convolutional Neural Networks for Prognosis of Ischemic Stroke.

[BibT_eX]

[DOI]

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2016

2013

Uncluttered Single-Image Visualization of Vascular Structures Using GPU and Integer Programming.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2013

Massively Parallel Energy Space Exploration for Uncluttered Visualization of Vascular Structures.

[BibT_eX]

[DOI]

Yongkweon Jeon

Joong-Ho Won

Sungroh Yoon

IEEE Trans. Biomed. Eng., 2013

2012

ROC convex hull and nonparametric maximum likelihood estimation.

[BibT_eX]

[DOI]

Johan Lim

Joong-Ho Won

Mach. Learn., 2012

2006

Flattening the Abdominal Aortic Tree for Effective Visualization.

[BibT_eX]

[DOI]

Joong-Ho Won

Geoffrey D. Rubin

Sandy Napel

Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

Joong-Ho Won

Timeline

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Links

On csauthors.net:

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