Conference

Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation

Youngtak Oh*, Jonghyun Lee*, Jooyoung Choi, Dahuin Jung, Uiwon Hwang†, Sungroh Yoon†, European Conference on Computer Vision (ECCV), Milano, Italy, September 2024. [* equal contribution, † corresponding authors]

arxiv

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

Uiwon Hwang, Jonghyun Lee, Juhyeon Shin, Sungroh Yoon, International Conference on Learning Representations (ICLR), Vienna, Austria, May 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†, International Conference on Learning Representations (ICLR), Spotlight (Top 5%), Vienna, Austria, May 2024. [* equal contribution, † corresponding authors]

paper / code / page / slide / poster

arXiv

Improving Diffusion-Based Generative Models via Approximated Optimal Transport

Daegyu Kim, Jooyoung Choi, Chaehun Shin, Uiwon Hwang†, Sungroh Yoon†, arXiv:2403.05069 [cs.CV], March 2024. [† corresponding authors]

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:2402.09004 [cs.CV], February 2024. [† corresponding authors]

arxiv

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

Yeongtak Oh, Saehyung Lee, Uiwon Hwang†, Sungroh Yoon†, arXiv:2401.10526 [cs.CV], January 2024. [† corresponding authors]

arxiv / code

Domestic

Trends in Medical Artificial Intelligence and Improvements in Insurance Systems

Yeyoung Kim, Uiwon Hwang, Korea Computer Congress (KCC), June 2024.

paper

A Trend of Source-free Domain Adaptation

Uiwon Hwang, Annual Symposium of KIPS (ASK), May 2024.

paper

Polyphonic Music Generation with Sequence Generative Adversarial Networks 

Sang-gil Lee*, Uiwon Hwang*, Seonwoo Min, Sungroh Yoon, Journal of KIISE, January 2024. [* equal contribution]

paper / arxiv 

Journal

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, October 2023. [* equal contribution, † corresponding authors]

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, February 2023.

paper

Conference

Membership Privacy-Preserving GAN 

Heonseok Ha, Uiwon Hwang, Jaehee Jang, Ho Bae, Sungroh Yoon, British Machine Vision Conference (BMVC), London, UK, November 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 Workshop on Healthcare AI and COVID-19, Baltimore, USA, July 2022.

paper / slide

Stein Latent Optimization for Generative Adversarial Networks

Uiwon Hwang, Heeseung Kim, Dahuin Jung, Hyemi Jang, Hyungyu Lee, Sungroh Yoon, International Conference on Learning Representations (ICLR), April 2022.

paper / code / slide / poster

Journal

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, August 2021.  [* equal contribution, † corresponding authors]

paper

Conference

HexaGAN: Generative Adversarial Nets for Real World Classification

Uiwon Hwang, Dahuin Jung, Sungroh Yoon, International Conference on Machine Learning (ICML), Long Beach, CA, USA, 2019.

paper / code / slide / poster

Journal

PuVAE: A Variational Autoencoder to Purify Adversarial Examples 

Uiwon Hwang*, Jaewoo Park*, Hyemi Jang*, Sungroh Yoon†, Nam Ik Cho†, IEEE Access, September 2019.  [* equal contribution, † corresponding authors]

paper

How Generative Adversarial Networks and Their Variants Work: An Overview

Yongjun Hong, Uiwon Hwang, Jaeyoon Yoo, Sungroh Yoon, ACM Computing Surveys (CSUR), February 2019.

paper

Conference

Reinforcement Learning based Recommender System using Biclustering Technique

Sungwoon Choi, Heonseok Ha, Uiwon Hwang, Chanju Kim, Jung-Woo Ha, Sungroh Yoon, WSDM Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization (IFUP), Los Angeles, USA, February 2018.

paper / workshop

arXiv

Deep Trustworthy Knowledge Tracing

Heonseok Ha, Uiwon Hwang, Yongjun Hong, Sungroh Yoon, arXiv:1805.10768 [cs.AI], May 2018.

arxiv

arXiv

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

Uiwon Hwang, Sungwoon Choi, Han-Byoel Lee, Sungroh Yoon, arXiv:1711.04126 [cs.LG], November 2017.

arxiv / paper(Korean)