Uiwon Hwang - RankMe

30 papers A* 4A 1Journal 23Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CLIP-RD: Relational Distillation for Efficient CLIP Knowledge Distillation. CoRR Jeannie Chung, Hanna Jang, Ingyeong Yang, Uiwon Hwang, Jaehyeong Sim
2026	J	`jnl`	Enhancing Alignment for Unified Multimodal Models via Semantically-Grounded Supervision. CoRR Jiyeong Kim, Yerim So, Hyesong Choi, Uiwon Hwang, Dongbo Min
2025	J	`jnl`	On Mitigating Stability-Plasticity Dilemma in CLIP-guided Image Morphing via Geodesic Distillation Loss. Int. J. Comput. Vis. Yeongtak Oh, Saehyung Lee, Uiwon Hwang, Sungroh Yoon
2025	J	`jnl`	ProGIP: Protecting Gradient-based Input Perturbation Approaches for OOD Detection From Soft Errors. ACM Trans. Embed. Comput. Syst. Sumedh Shridhar Joshi, Hwisoo So, Soyeong Park, Woobin Ko, Jinhyo Jung, Yohan Ko, Uiwon Hwang, Kyoungwoo Lee, Aviral Shrivastava
2024	J	`jnl`	Adversarial Defense on Harmony: Reverse Attack for Robust AI Models Against Adversarial Attacks. IEEE Access Yebon Kim, Jinhyo Jung, Hyunjun Kim, Hwisoo So, Yohan Ko, Aviral Shrivastava, Kyoungwoo Lee, Uiwon Hwang
2024	—	`conf`	Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation. ECCV (52) Yeongtak Oh, Jonghyun Lee, Jooyoung Choi, Dahuin Jung, Uiwon Hwang, Sungroh Yoon
2024	J	`jnl`	Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation. CoRR Yeongtak Oh, Jonghyun Lee, Jooyoung Choi, Dahuin Jung, Uiwon Hwang, Sungroh Yoon
2024	A*	`conf`	Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors. ICLR Jonghyun Lee, Dahuin Jung, Saehyung Lee, Junsung Park, Juhyeon Shin, Uiwon Hwang, Sungroh Yoon
2024	J	`jnl`	Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors. CoRR Jonghyun Lee, Dahuin Jung, Saehyung Lee, Junsung Park, Juhyeon Shin, Uiwon Hwang, Sungroh Yoon
2024	J	`jnl`	Gradient Alignment with Prototype Feature for Fully Test-time Adaptation. CoRR Juhyeon Shin, Jonghyun Lee, Saehyung Lee, Minjun Park, Dongjun Lee, Uiwon Hwang, Sungroh Yoon
2024	J	`jnl`	Improving Diffusion-Based Generative Models via Approximated Optimal Transport. CoRR Daegyu Kim, Jooyoung Choi, Chaehun Shin, Uiwon Hwang, Sungroh Yoon
2024	J	`jnl`	On mitigating stability-plasticity dilemma in CLIP-guided image morphing via geodesic distillation loss. CoRR Yeongtak Oh, Saehyung Lee, Uiwon Hwang, Sungroh Yoon
2024	J	`jnl`	SF(DA) CoRR Uiwon Hwang, Jonghyun Lee, Juhyeon Shin, Sungroh Yoon
2024	A*	`conf`	SF(DA)2: Source-free Domain Adaptation Through the Lens of Data Augmentation. ICLR Uiwon Hwang, Jonghyun Lee, Juhyeon Shin, Sungroh Yoon
2023	J	`jnl`	Real-world prediction of preclinical Alzheimer's disease with a deep generative model. Artif. Intell. Medicine Uiwon Hwang, Sung-Woo Kim, Dahuin Jung, Seung Wook Kim, Hyejoo Lee, Sang Won Seo, Joon-Kyung Seong, Sungroh Yoon
2022	A	`conf`	Membership Privacy-Preserving GAN. BMVC Heonseok Ha, Uiwon Hwang, Jaehee Jang, Ho Bae, Sungroh Yoon
2022	—	`conf`	Prediction of Mortality and Intervention in COVID-19 Patients Using Generative Adversarial Networks. Healthcare AI and COVID-19 Workshop Uiwon Hwang, Euideuk Hwang, Minsoo Kang, Sungroh Yoon
2022	A*	`conf`	Stein Latent Optimization for Generative Adversarial Networks. ICLR Uiwon Hwang, Heeseung Kim, Dahuin Jung, Hyemi Jang, Hyungyu Lee, Sungroh Yoon
2021	J	`jnl`	Learn2Evade: Learning-Based Generative Model for Evading PDF Malware Classifiers. IEEE Trans. Artif. Intell. Ho Bae, Younghan Lee, Yohan Kim, Uiwon Hwang, Sungroh Yoon, Yunheung Paek
2021	J	`jnl`	Stein Latent Optimization for GANs. CoRR Uiwon Hwang, Heeseung Kim, Dahuin Jung, Hyemi Jang, Hyungyu Lee, Sungroh Yoon
2019	A*	`conf`	HexaGAN: Generative Adversarial Nets for Real World Classification. ICML Uiwon Hwang, Dahuin Jung, Sungroh Yoon
2019	J	`jnl`	HexaGAN: Generative Adversarial Nets for Real World Classification. CoRR Uiwon Hwang, Dahuin Jung, Sungroh Yoon
2019	J	`jnl`	How Generative Adversarial Networks and Their Variants Work: An Overview. ACM Comput. Surv. Yongjun Hong, Uiwon Hwang, Jaeyoon Yoo, Sungroh Yoon
2019	J	`jnl`	PuVAE: A Variational Autoencoder to Purify Adversarial Examples. IEEE Access Uiwon Hwang, Jaewoo Park, Hyemi Jang, Sungroh Yoon, Nam Ik Cho
2019	J	`jnl`	PuVAE: A Variational Autoencoder to Purify Adversarial Examples. CoRR Uiwon Hwang, Jaewoo Park, Hyemi Jang, Sungroh Yoon, Nam Ik Cho
2018	J	`jnl`	Intelligent Knowledge Tracing: More Like a Real Learning Process of a Student. CoRR Heonseok Ha, Yongjun Hong, Uiwon Hwang, Sungroh Yoon
2018	J	`jnl`	Reinforcement Learning based Recommender System using Biclustering Technique. CoRR Sungwoon Choi, Heonseok Ha, Uiwon Hwang, Chanju Kim, Jung-Woo Ha, Sungroh Yoon
2017	J	`jnl`	A SeqGAN for Polyphonic Music Generation. CoRR Sang-gil Lee, Uiwon Hwang, Seonwoo Min, Sungroh Yoon
2017	J	`jnl`	Disease Prediction from Electronic Health Records Using Generative Adversarial Networks. CoRR Uiwon Hwang, Sungwoon Choi, Sungroh Yoon
2017	J	`jnl`	How Generative Adversarial Nets and its variants Work: An Overview of GAN. CoRR Yongjun Hong, Uiwon Hwang, Jaeyoon Yoo, Sungroh Yoon