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 | 384 | 2019 |
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 | 89 | 2018 |
PuVAE: A variational autoencoder to purify adversarial examples U Hwang, J Park, H Jang, S Yoon, NI Cho IEEE Access 7, 126582-126593, 2019 | 88 | 2019 |
HexaGAN: Generative Adversarial Nets for Real World Classification U Hwang, D Jung, S Yoon International Conference on Machine Learning (ICML), 2019 | 54 | 2019 |
A SeqGAN for polyphonic music generation S Lee, U Hwang, S Min, S Yoon arXiv preprint arXiv:1710.11418, 2017 | 44* | 2017 |
Disease prediction from electronic health records using generative adversarial networks U Hwang, S Choi, S Yoon arXiv preprint arXiv:1711.04126, 2017 | 36* | 2017 |
Deep trustworthy knowledge tracing H Ha, U Hwang, Y Hong, J Jang, S Yoon arXiv preprint arXiv:1805.10768, 2018 | 21 | 2018 |
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 | 11 | 2021 |
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 | 6 | 2024 |
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 | 6 | 2023 |
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 | 3 | 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 | 2 | 2023 |
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 | 2 | 2022 |
Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation Y Oh, J Lee, J Choi, D Jung, U Hwang, S Yoon European Conference on Computer Vision (ECCV), 2024 | 1 | 2024 |
Membership Privacy-preserving GAN H Ha, U Hwang, J Jang, H Bae, S Yoon British Machine Vision Conference (BMVC), 2022 | 1 | 2022 |
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 |
소스-프리 도메인 적응 연구동향 황의원 한국정보처리학회 학술대회논문집 31 (1), 888-890, 2024 | | 2024 |
Learning from Limited Data: Deep Generative Models and Applications U Hwang Seoul National University, 2023 | | 2023 |