Uiwon Hwang

Orcid: 0000-0001-5054-2236

According to our database¹, Uiwon Hwang authored at least 22 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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Links

On csauthors.net:

Bibliography

2024

SF(DA)<sup>2</sup>: Source-free Domain Adaptation Through the Lens of Data Augmentation.

[BibT_eX]

[DOI]

CoRR, 2024

Improving Diffusion-Based Generative Models via Approximated Optimal Transport.

[BibT_eX]

[DOI]

CoRR, 2024

Gradient Alignment with Prototype Feature for Fully Test-time Adaptation.

[BibT_eX]

[DOI]

CoRR, 2024

On mitigating stability-plasticity dilemma in CLIP-guided image morphing via geodesic distillation loss.

[BibT_eX]

[DOI]

CoRR, 2024

Adversarial Defense on Harmony: Reverse Attack for Robust AI Models Against Adversarial Attacks.

[BibT_eX]

[DOI]

IEEE Access, 2024

SF(DA)2: Source-free Domain Adaptation Through the Lens of Data Augmentation.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Real-world prediction of preclinical Alzheimer's disease with a deep generative model.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, October, 2023

2022

Prediction of Mortality and Intervention in COVID-19 Patients Using Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the 1st Workshop on Healthcare AI and COVID-19, 2022

Stein Latent Optimization for Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Membership Privacy-Preserving GAN.

[BibT_eX]

[DOI]

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Learn2Evade: Learning-Based Generative Model for Evading PDF Malware Classifiers.

[BibT_eX]

[DOI]

IEEE Trans. Artif. Intell., 2021

Stein Latent Optimization for GANs.

[BibT_eX]

[DOI]

CoRR, 2021

2019

How Generative Adversarial Networks and Their Variants Work: An Overview.

[BibT_eX]

[DOI]

ACM Comput. Surv., 2019

PuVAE: A Variational Autoencoder to Purify Adversarial Examples.

[BibT_eX]

[DOI]

IEEE Access, 2019

HexaGAN: Generative Adversarial Nets for Real World Classification.

[BibT_eX]

[DOI]

Uiwon Hwang

Dahuin Jung

Sungroh Yoon

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

2018

Intelligent Knowledge Tracing: More Like a Real Learning Process of a Student.

[BibT_eX]

[DOI]

CoRR, 2018

Reinforcement Learning based Recommender System using Biclustering Technique.

[BibT_eX]

[DOI]

CoRR, 2018

2017

How Generative Adversarial Nets and its variants Work: An Overview of GAN.

[BibT_eX]

[DOI]

CoRR, 2017

Disease Prediction from Electronic Health Records Using Generative Adversarial Networks.

[BibT_eX]

[DOI]

Uiwon Hwang

Sungwoon Choi

Sungroh Yoon

CoRR, 2017

A SeqGAN for Polyphonic Music Generation.

[BibT_eX]

[DOI]

CoRR, 2017

Uiwon Hwang

Timeline

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On csauthors.net:

Bibliography

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