Uiwon Hwang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 24

Top Topics

Hybrid Generative Discriminative

Domain Adaptation

Electronic Health Records

Top Venues

Artif. Intell. Medicine

Healthcare AI and COVID-19 Workshop

Publications

Yeongtak Oh, Saehyung Lee, Uiwon Hwang, Sungroh Yoon
On mitigating stability-plasticity dilemma in CLIP-guided image morphing via geodesic distillation loss. CoRR (2024)
Jonghyun Lee, Dahuin Jung, Saehyung Lee, Junsung Park, Juhyeon Shin, Uiwon Hwang, Sungroh Yoon
Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors. CoRR (2024)
Uiwon Hwang, Jonghyun Lee, Juhyeon Shin, Sungroh Yoon
SF(DA)2: Source-free Domain Adaptation Through the Lens of Data Augmentation. ICLR (2024)
Uiwon Hwang, Jonghyun Lee, Juhyeon Shin, Sungroh Yoon
: Source-free Domain Adaptation Through the Lens of Data Augmentation. CoRR (2024)
Daegyu Kim, Jooyoung Choi, Chaehun Shin, Uiwon Hwang, Sungroh Yoon
Improving Diffusion-Based Generative Models via Approximated Optimal Transport. CoRR (2024)
Juhyeon Shin, Jonghyun Lee, Saehyung Lee, Minjun Park, Dongjun Lee, Uiwon Hwang, Sungroh Yoon
Gradient Alignment with Prototype Feature for Fully Test-time Adaptation. CoRR (2024)
Yeongtak Oh, Jonghyun Lee, Jooyoung Choi, Dahuin Jung, Uiwon Hwang, Sungroh Yoon
Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation. CoRR (2024)
Jonghyun Lee, Dahuin Jung, Saehyung Lee, Junsung Park, Juhyeon Shin, Uiwon Hwang, Sungroh Yoon
Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors. ICLR (2024)
Uiwon Hwang, Sung-Woo Kim, Dahuin Jung, Seung Wook Kim, Hyejoo Lee, Sang Won Seo, Joon-Kyung Seong, Sungroh Yoon
Real-world prediction of preclinical Alzheimer's disease with a deep generative model. Artif. Intell. Medicine 144 (2023)
Uiwon Hwang, Heeseung Kim, Dahuin Jung, Hyemi Jang, Hyungyu Lee, Sungroh Yoon
Stein Latent Optimization for Generative Adversarial Networks. ICLR (2022)
Uiwon Hwang, Euideuk Hwang, Minsoo Kang, Sungroh Yoon
Prediction of Mortality and Intervention in COVID-19 Patients Using Generative Adversarial Networks. Healthcare AI and COVID-19 Workshop (2022)
Heonseok Ha, Uiwon Hwang, Jaehee Jang, Ho Bae, Sungroh Yoon
Membership Privacy-Preserving GAN. BMVC (2022)
Uiwon Hwang, Heeseung Kim, Dahuin Jung, Hyemi Jang, Hyungyu Lee, Sungroh Yoon
Stein Latent Optimization for GANs. CoRR (2021)
Ho Bae, Younghan Lee, Yohan Kim, Uiwon Hwang, Sungroh Yoon, Yunheung Paek
Learn2Evade: Learning-Based Generative Model for Evading PDF Malware Classifiers. IEEE Trans. Artif. Intell. 2 (4) (2021)
Uiwon Hwang, Dahuin Jung, Sungroh Yoon
HexaGAN: Generative Adversarial Nets for Real World Classification. ICML (2019)
Uiwon Hwang, Dahuin Jung, Sungroh Yoon
HexaGAN: Generative Adversarial Nets for Real World Classification. CoRR (2019)
Uiwon Hwang, Jaewoo Park, Hyemi Jang, Sungroh Yoon, Nam Ik Cho
PuVAE: A Variational Autoencoder to Purify Adversarial Examples. CoRR (2019)
Yongjun Hong, Uiwon Hwang, Jaeyoon Yoo, Sungroh Yoon
How Generative Adversarial Networks and Their Variants Work: An Overview. ACM Comput. Surv. 52 (1) (2019)
Uiwon Hwang, Jaewoo Park, Hyemi Jang, Sungroh Yoon, Nam Ik Cho
PuVAE: A Variational Autoencoder to Purify Adversarial Examples. IEEE Access 7 (2019)
Sungwoon Choi, Heonseok Ha, Uiwon Hwang, Chanju Kim, Jung-Woo Ha, Sungroh Yoon
Reinforcement Learning based Recommender System using Biclustering Technique. CoRR (2018)
Heonseok Ha, Yongjun Hong, Uiwon Hwang, Sungroh Yoon
Intelligent Knowledge Tracing: More Like a Real Learning Process of a Student. CoRR (2018)
Sang-gil Lee, Uiwon Hwang, Seonwoo Min, Sungroh Yoon
A SeqGAN for Polyphonic Music Generation. CoRR (2017)
Yongjun Hong, Uiwon Hwang, Jaeyoon Yoo, Sungroh Yoon
How Generative Adversarial Nets and its variants Work: An Overview of GAN. CoRR (2017)
Uiwon Hwang, Sungwoon Choi, Sungroh Yoon
Disease Prediction from Electronic Health Records Using Generative Adversarial Networks. CoRR (2017)