Uiwon Hwang

According to our database, Uiwon Hwang authored at least 20 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Yeongtak Oh, Jonghyun Lee, Jooyoung Choi, Dahuin Jung, Uiwon Hwang, Sungroh Yoon

CoRR, 2024

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

Uiwon Hwang, Jonghyun Lee, Juhyeon Shin, Sungroh Yoon

CoRR, 2024

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

Jonghyun Lee, Dahuin Jung, Saehyung Lee, Junsung Park, Juhyeon Shin, Uiwon Hwang, Sungroh Yoon

CoRR, 2024

Improving Diffusion-Based Generative Models via Approximated Optimal Transport.

Daegyu Kim, Jooyoung Choi, Chaehun Shin, Uiwon Hwang, Sungroh Yoon

CoRR, 2024

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

Juhyeon Shin, Jonghyun Lee, Saehyung Lee, Minjun Park, Dongjun Lee, Uiwon Hwang, Sungroh Yoon

CoRR, 2024

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

Yeongtak Oh, Saehyung Lee, Uiwon Hwang, Sungroh Yoon

CoRR, 2024

2023

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

Uiwon Hwang, Sung-Woo Kim, Dahuin Jung, Seung Wook Kim, Hyejoo Lee, Sang Won Seo, Joon-Kyung Seong, Sungroh Yoon

Artif. Intell. Medicine, October, 2023

2022

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

Uiwon Hwang, Euideuk Hwang, Minsoo Kang, Sungroh Yoon

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

Stein Latent Optimization for Generative Adversarial Networks.

Uiwon Hwang, Heeseung Kim, Dahuin Jung, Hyemi Jang, Hyungyu Lee, Sungroh Yoon

Proceedings of the Tenth International Conference on Learning Representations, 2022

Membership Privacy-Preserving GAN.

Heonseok Ha, Uiwon Hwang, Jaehee Jang, Ho Bae, Sungroh Yoon

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

2021

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

Ho Bae, Younghan Lee, Yohan Kim, Uiwon Hwang, Sungroh Yoon, Yunheung Paek

IEEE Trans. Artif. Intell., 2021

Stein Latent Optimization for GANs.

Uiwon Hwang, Heeseung Kim, Dahuin Jung, Hyemi Jang, Hyungyu Lee, Sungroh Yoon

CoRR, 2021

2019

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

Yongjun Hong, Uiwon Hwang, Jaeyoon Yoo, Sungroh Yoon

ACM Comput. Surv., 2019

PuVAE: A Variational Autoencoder to Purify Adversarial Examples.

Uiwon Hwang, Jaewoo Park, Hyemi Jang, Sungroh Yoon, Nam Ik Cho

IEEE Access, 2019

HexaGAN: Generative Adversarial Nets for Real World Classification.

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.

Heonseok Ha, Yongjun Hong, Uiwon Hwang, Sungroh Yoon

CoRR, 2018

Reinforcement Learning based Recommender System using Biclustering Technique.

Sungwoon Choi, Heonseok Ha, Uiwon Hwang, Chanju Kim, Jung-Woo Ha, Sungroh Yoon

CoRR, 2018

2017

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

Yongjun Hong, Uiwon Hwang, Jaeyoon Yoo, Sungroh Yoon

CoRR, 2017

Disease Prediction from Electronic Health Records Using Generative Adversarial Networks.

Uiwon Hwang, Sungwoon Choi, Sungroh Yoon

CoRR, 2017

A SeqGAN for Polyphonic Music Generation.

Sang-gil Lee, Uiwon Hwang, Seonwoo Min, Sungroh Yoon

CoRR, 2017