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Uiwon Hwang
Uiwon Hwang
Assistant Professor, Division of Digital Healthcare, Yonsei University - Mirae Campus
yonsei.ac.kr의 이메일 확인됨 - 홈페이지
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How generative adversarial networks and their variants work: An overview
Y Hong, U Hwang, J Yoo, S Yoon
ACM Computing Surveys (CSUR) 52 (1), 1-43, 2019
3672019
Reinforcement learning based recommender system using biclustering technique
S Choi, H Ha, U Hwang, C Kim, JW Ha, S Yoon
arXiv preprint arXiv:1801.05532, 2018
822018
PuVAE: A variational autoencoder to purify adversarial examples
U Hwang, J Park, H Jang, S Yoon, NI Cho
IEEE Access 7, 126582-126593, 2019
812019
HexaGAN: Generative Adversarial Nets for Real World Classification
U Hwang, D Jung, S Yoon
International Conference on Machine Learning (ICML), 2019
522019
A SeqGAN for polyphonic music generation
S Lee, U Hwang, S Min, S Yoon
arXiv preprint arXiv:1710.11418, 2017
43*2017
Disease prediction from electronic health records using generative adversarial networks
U Hwang, S Choi, S Yoon
arXiv preprint arXiv:1711.04126, 2017
35*2017
Deep trustworthy knowledge tracing
H Ha, U Hwang, Y Hong, J Jang, S Yoon
arXiv preprint arXiv:1805.10768, 2018
202018
Learn2Evade: Learning-based generative model for evading PDF malware classifiers
H Bae, Y Lee, Y Kim, U Hwang, S Yoon, Y Paek
IEEE Transactions on Artificial Intelligence 2 (4), 299-313, 2021
92021
Deep learning-assisted active noise control in a time-varying environment
S Im, S Kim, S Woo, I Jang, T Han, U Hwang, WS Ohm, M Lee
Journal of Mechanical Science and Technology 37 (3), 1189-1196, 2023
52023
SF(DA): Source-free Domain Adaptation Through the Lens of Data Augmentation
U Hwang, J Lee, J Shin, S Yoon
International Conference on Learning Representations (ICLR), 2024
12024
Entropy is not Enough for Test-time Adaptation: From the Perspective of Disentangled Factors
J Lee, D Jung, S Lee, J Park, J Shin, U Hwang, S Yoon
International Conference on Learning Representations (ICLR) (Spotlight), 2024
12024
Membership Privacy-preserving GAN
H Ha, U Hwang, J Jang, H Bae, S Yoon
British Machine Vision Conference (BMVC), 2022
12022
Stein Latent Optimization for Generative Adversarial Networks
U Hwang, H Kim, D Jung, H Jang, H Lee, S Yoon
International Conference on Learning Representations (ICLR), 2022
12022
Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation
Y Oh, J Lee, J Choi, D Jung, U Hwang, S Yoon
arXiv preprint arXiv:2403.10911, 2024
2024
Improving Diffusion-Based Generative Models via Approximated Optimal Transport
D Kim, J Choi, C Shin, U Hwang, S Yoon
arXiv preprint arXiv:2403.05069, 2024
2024
Gradient Alignment with Prototype Feature for Fully Test-time Adaptation
J Shin, J Lee, S Lee, M Park, D Lee, U Hwang, S Yoon
arXiv preprint arXiv:2402.09004, 2024
2024
On mitigating stability-plasticity dilemma in CLIP-guided image morphing via geodesic distillation loss
Y Oh, S Lee, U Hwang, S Yoon
arXiv preprint arXiv:2401.10526, 2024
2024
Real-world prediction of preclinical Alzheimer’s disease with a deep generative model
U Hwang, SW Kim, D Jung, SW Kim, H Lee, SW Seo, JK Seong, S Yoon, ...
Artificial Intelligence in Medicine 144, 102654, 2023
2023
Learning from Limited Data: Deep Generative Models and Applications
U Hwang
Seoul National University, 2023
2023
Prediction of Mortality and Intervention in COVID-19 Patients Using Generative Adversarial Networks
U Hwang, E Hwang, M Kang, S Yoon
ICML Workshop on Healthcare AI and COVID-19, 91-99, 2022
2022
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학술자료 1–20