| 2026 | WACV | Towards Reliable Test-Time Adaptation: Style Invariance as a Correctness Likelihood. | Gilhyun Nam, Taewon Kim, Joonhyun Jeong, Eunho Yang |
| 2025 | CVPR | Playing the Fool: Jailbreaking LLMs and Multimodal LLMs with Out-of-Distribution Strategy. | Joonhyun Jeong, Seyun Bae, Yeonsung Jung, Jaeryong Hwang, Eunho Yang |
| 2025 | ICCV | ZIM: Zero-Shot Image Matting for Anything. | Beomyoung Kim, Chanyong Shin, Joonhyun Jeong, Hyungsik Jung, Se-Yun Lee, Sewhan Chun, Dong-Hyun Hwang, Joonsang Yu |
| 2024 | AAAI | ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open-Vocabulary Object Detection. | Joonhyun Jeong, Geondo Park, Jayeon Yoo, Hyungsik Jung, Heesu Kim |
| 2024 | WACV | EResFD: Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection. | Joonhyun Jeong, Beomyoung Kim, Joonsang Yu, Youngjoon Yoo |
| 2023 | CVPR | The Devil is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation. | Beomyoung Kim, Joonhyun Jeong, Dongyoon Han, Sung Ju Hwang |
| 2023 | IJCAI | GeNAS: Neural Architecture Search with Better Generalization. | Joonhyun Jeong, Joonsang Yu, Geondo Park, Dongyoon Han, Youngjoon Yoo |
| 2022 | ICML | Dataset Condensation via Efficient Synthetic-Data Parameterization. | Jang-Hyun Kim, Jinuk Kim, Seong Joon Oh, Sangdoo Yun, Hwanjun Song, Joonhyun Jeong, Jung-Woo Ha, Hyun Oh Song |