Joong-Ho Won
Orcid: 0000-0002-5597-9557
According to our database1,
Joong-Ho Won
authored at least 33 papers
between 2006 and 2024.
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Bibliography
2024
CoRR, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
$t^3$-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
Optim. Lett., June, 2023
t<sup>3</sup>-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence.
CoRR, 2023
2022
Orthogonal Trace-Sum Maximization: Tightness of the Semidefinite Relaxation and Guarantee of Locally Optimal Solutions.
SIAM J. Optim., September, 2022
Impact of Diffusion-Perfusion Mismatch on Predicting Final Infarction Lesion Using Deep Learning.
IEEE Access, 2022
Proceedings of the International Conference on Machine Learning, 2022
2021
Orthogonal Trace-Sum Maximization: Applications, Local Algorithms, and Global Optimality.
SIAM J. Matrix Anal. Appl., 2021
Computationally scalable regression modeling for ultrahigh-dimensional omics data with ParProx.
Briefings Bioinform., 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
2020
Splitting with Near-Circulant Linear Systems: Applications to Total Variation CT and PET.
SIAM J. Sci. Comput., 2020
Multim. Syst., 2020
Uncertainty quantification using Bayesian neural networks in classification: Application to biomedical image segmentation.
Comput. Stat. Data Anal., 2020
DistStat.jl: Towards Unified Programming for High-Performance Statistical Computing Environments in Julia.
CoRR, 2020
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.
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
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.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
Correction to: HiComet: a high-throughput comet analysis tool for large-scale DNA damage assessment.
BMC Bioinform., 2018
HiComet: a high-throughput comet analysis tool for large-scale DNA damage assessment.
BMC Bioinform., 2018
Comparative study of computational algorithms for the Lasso with high-dimensional, highly correlated data.
Appl. Intell., 2018
Nonparametric Sharpe Ratio Function Estimation in Heteroscedastic Regression Models via Convex Optimization.
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.
Comput. Stat. Data Anal., 2017
2016
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.
IEEE Trans. Vis. Comput. Graph., 2013
Massively Parallel Energy Space Exploration for Uncluttered Visualization of Vascular Structures.
IEEE Trans. Biomed. Eng., 2013
2012
2006
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006