Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation

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

arXiv 2024

arxiv

Improving Diffusion-Based Generative Models via Approximated Optimal Transport

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

arXiv 2024

arxiv / code

Gradient Alignment with Prototype Feature for Fully Test-time Adaptation

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

arXiv 2024

arxiv

On Mitigating Stability-plasticity Dilemma in CLIP-guided Image Morphing via Geodesic Distillation Loss

Yeongtak Oh, Saehyung Lee, Uiwon Hwang*, Sungroh Yoon*

arXiv 2024

arxiv / code

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

Uiwon Hwang, Jonghyun Lee, Juhyeon Shin, Sungroh Yoon

ICLR 2024

paper / code / slide / poster

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*

ICLR 2024  (Spotlight)

paper / code / page / slide / poster

Polyphonic Music Generation with Sequence Generative Adversarial Networks 

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

Journal of KIISE, 2024

paper / arxiv 

Real-world Prediction of Preclinical Alzheimer’s Disease with a Deep Generative Model

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

Artificial Intelligence in Medicine, 2023

paper

Deep Learning-assisted Active Noise Control in a Time-varying Environment 

Seonghun Im, Siwon Kim, Sunghwa Woo, Inman Jang, Taewoo Han, Uiwon Hwang, Won-Suk Ohm, Myunghan Lee

Journal of Mechanical Science and Technology, 2023

paper

Membership Privacy-Preserving GAN 

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

BMVC 2022

paper / poster

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

Uiwon Hwang, Euideuk Hwang, Minsoo Kang, Sungroh Yoon

ICML 2022 Workshop

paper / slide

Stein Latent Optimization for Generative Adversarial Networks

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

ICLR 2022

paper / code / slide / poster

Learn2Evade: Learning-based Generative Model for Evading PDF Malware Classifiers

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

IEEE Transactions on Artificial Intelligence, 2021

paper

PuVAE: A Variational Autoencoder to Purify Adversarial Examples 

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

IEEE Access, 2019 

paper

HexaGAN: Generative Adversarial Nets for Real World Classification

Uiwon Hwang, Dahuin Jung, Sungroh Yoon

ICML 2019

paper / code / slide / poster

How Generative Adversarial Networks and Their Variants Work: An Overview

Yongjun Hong, Uiwon Hwang, Jaeyoon Yoo, Sungroh Yoon

ACM Computing Surveys, 2019

paper

Reinforcement Learning based Recommender System using Biclustering Technique

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

WSDM 2018 Workshop

paper / workshop

Deep Trustworthy Knowledge Tracing

Heonseok Ha, Uiwon Hwang, Yongjun Hong, Sungroh Yoon

arXiv 2018

arxiv

Adversarial Training for Disease Prediction from Electronic Health Records with Missing Data

Uiwon Hwang, Sungwoon Choi, Han-Byoel Lee, Sungroh Yoon

arXiv 2017

arxiv / paper(Korean)