A SeqGAN for Polyphonic Music Generation. - Sang-gil Lee; Uiwon Hwang; Seonwoo Min; Sungroh Yoon (CoRR, 2017)

Disease Prediction from Electronic Health Records Using Generative Adversarial Networks. - Uiwon Hwang; Sungwoon Choi; Sungroh Yoon (CoRR, 2017)

How Generative Adversarial Nets and its variants Work: An Overview of GAN. - Yongjun Hong; Uiwon Hwang; Jaeyoon Yoo; Sungroh Yoon (CoRR, 2017)

Reinforcement Learning based Recommender System using Biclustering Technique. - Sungwoon Choi; Heonseok Ha; Uiwon Hwang; Chanju Kim; Jung-Woo Ha; Sungroh Yoon (CoRR, 2018)

Intelligent Knowledge Tracing: More Like a Real Learning Process of a Student. - Heonseok Ha; Yongjun Hong; Uiwon Hwang; Sungroh Yoon (CoRR, 2018)

HexaGAN: Generative Adversarial Nets for Real World Classification. - Uiwon Hwang; Dahuin Jung; Sungroh Yoon (ICML, 2019)

PuVAE: A Variational Autoencoder to Purify Adversarial Examples. - Uiwon Hwang; Jaewoo Park; Hyemi Jang; Sungroh Yoon; Nam Ik Cho (IEEE Access, 2019)

How Generative Adversarial Networks and Their Variants Work: An Overview. - Yongjun Hong; Uiwon Hwang; Jaeyoon Yoo; Sungroh Yoon (ACM Comput. Surv., 2019)

Stein Latent Optimization for GANs. - Uiwon Hwang; Heeseung Kim; Dahuin Jung; Hyemi Jang; Hyungyu Lee; Sungroh Yoon (CoRR, 2021)

Learn2Evade: Learning-Based Generative Model for Evading PDF Malware Classifiers. - Ho Bae; Younghan Lee; Yohan Kim; Uiwon Hwang; Sungroh Yoon; Yunheung Paek (IEEE Trans. Artif. Intell., 2021)

Membership Privacy-Preserving GAN. - Heonseok Ha; Uiwon Hwang; Jaehee Jang; Ho Bae; Sungroh Yoon (BMVC, 2022)

Stein Latent Optimization for Generative Adversarial Networks. - Uiwon Hwang; Heeseung Kim; Dahuin Jung; Hyemi Jang; Hyungyu Lee; Sungroh Yoon (ICLR, 2022)

Prediction of Mortality and Intervention in COVID-19 Patients Using Generative Adversarial Networks. - Uiwon Hwang; Euideuk Hwang; Minsoo Kang; Sungroh Yoon (Healthcare AI and COVID-19 Workshop, 2022)

Real-world prediction of preclinical Alzheimer's disease with a deep generative model. - Uiwon Hwang; Sung-Woo Kim; Dahuin Jung; Seung Wook Kim; Hyejoo Lee; Sang Won Seo; Joon-Kyung Seong; Sungroh Yoon (Artif. Intell. Medicine, 2023)

Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation. - Yeongtak Oh; Jonghyun Lee 004; Jooyoung Choi; Dahuin Jung; Uiwon Hwang; Sungroh Yoon (ECCV (52), 2024)

Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors. - Jonghyun Lee 004; Dahuin Jung; Saehyung Lee; Junsung Park; Juhyeon Shin; Uiwon Hwang; Sungroh Yoon (ICLR, 2024)

SF(DA)2: Source-free Domain Adaptation Through the Lens of Data Augmentation. - Uiwon Hwang; Jonghyun Lee 004; Juhyeon Shin; Sungroh Yoon (ICLR, 2024)

Adversarial Defense on Harmony: Reverse Attack for Robust AI Models Against Adversarial Attacks. - Yebon Kim; Jinhyo Jung; Hyunjun Kim; Hwisoo So; Yohan Ko; Aviral Shrivastava; Kyoungwoo Lee; Uiwon Hwang (IEEE Access, 2024)

Gradient Alignment with Prototype Feature for Fully Test-time Adaptation. - Juhyeon Shin; Jonghyun Lee 004; Saehyung Lee; Minjun Park; Dongjun Lee; Uiwon Hwang; Sungroh Yoon (CoRR, 2024)

Improving Diffusion-Based Generative Models via Approximated Optimal Transport. - Daegyu Kim; Jooyoung Choi; Chaehun Shin; Uiwon Hwang; Sungroh Yoon (CoRR, 2024)

SF(DA)2: Source-free Domain Adaptation Through the Lens of Data Augmentation. - Uiwon Hwang; Jonghyun Lee 004; Juhyeon Shin; Sungroh Yoon (CoRR, 2024)

On Mitigating Stability-Plasticity Dilemma in CLIP-guided Image Morphing via Geodesic Distillation Loss. - Yeongtak Oh; Saehyung Lee; Uiwon Hwang; Sungroh Yoon (Int. J. Comput. Vis., 2025)