| 2026 | AAAI | Margin-Aware Preference Optimization for Aligning Diffusion Models Without Reference. | Jiwoo Hong, Sayak Paul, Noah Lee, Kashif Rasul, James Thorne, Jongheon Jeong |
| 2026 | AAAI | Learning from the Undesirable: Robust Adaptation of Language Models Without Forgetting. | Yunhun Nam, Jaehyung Kim, Jongheon Jeong |
| 2026 | HPCA | MemSOS: OS-Guided Selective Memory Mirroring. | Junghoon Kim, Jongheon Jeong, Seokwon Moon, Seong Hoon Seo, Yeonhong Park, Jinkyu Jeong, Nam Sung Kim, Jae W. Lee |
| 2025 | ACL | EXPERT: An Explainable Image Captioning Evaluation Metric with Structured Explanations. | Hyunjong Kim, Sangyeop Kim, Jongheon Jeong, Yeongjae Cho, Sungzoon Cho |
| 2025 | ICCV | FaceShield: Defending Facial Image Against Deepfake Threats. | Jaehwan Jeong, Sumin In, Sieun Kim, Hannie Shin, Jongheon Jeong, Sang Ho Yoon, Jaewook Chung, Sangpil Kim |
| 2025 | ICLR | DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing. | June Suk Choi, Kyungmin Lee, Jongheon Jeong, Saining Xie, Jinwoo Shin, Kimin Lee |
| 2025 | ICLR | Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think. | Sihyun Yu, Sangkyung Kwak, Huiwon Jang, Jongheon Jeong, Jonathan Huang, Jinwoo Shin, Saining Xie |
| 2025 | IJCAI | StarFT: Robust Fine-tuning of Zero-shot Models via Spuriosity Alignment. | Younghyun Kim, Jongheon Jeong, Sangkyung Kwak, Kyungmin Lee, Juho Lee, Jinwoo Shin |
| 2024 | ECCV | Adversarial Robustification via Text-to-Image Diffusion Models. | Daewon Choi, Jongheon Jeong, Huiwon Jang, Jinwoo Shin |
| 2024 | ICLR | Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models. | Kyuyoung Kim, Jongheon Jeong, Minyong An, Mohammad Ghavamzadeh, Krishnamurthy Dj Dvijotham, Jinwoo Shin, Kimin Lee |
| 2023 | AAAI | Confidence-Aware Training of Smoothed Classifiers for Certified Robustness. | Jongheon Jeong, Seojin Kim, Jinwoo Shin |
| 2023 | CVPR | Enhancing Multiple Reliability Measures via Nuisance-Extended Information Bottleneck. | Jongheon Jeong, Sihyun Yu, Hankook Lee, Jinwoo Shin |
| 2023 | CVPR | WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation. | Jongheon Jeong, Yang Zou, Taewan Kim, Dongqing Zhang, Avinash Ravichandran, Onkar Dabeer |
| 2023 | ICLR | Guiding Energy-based Models via Contrastive Latent Variables. | Hankook Lee, Jongheon Jeong, Sejun Park, Jinwoo Shin |
| 2022 | AAAI | Consistency Regularization for Adversarial Robustness. | Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin |
| 2022 | ECCV | OpenCoS: Contrastive Semi-supervised Learning for Handling Open-Set Unlabeled Data. | Jongjin Park, Sukmin Yun, Jongheon Jeong, Jinwoo Shin |
| 2022 | ECCV | SPot-the-Difference Self-supervised Pre-training for Anomaly Detection and Segmentation. | Yang Zou, Jongheon Jeong, Latha Pemula, Dongqing Zhang, Onkar Dabeer |
| 2021 | AsiaCCS | Analyzing Spatial Differences in the TLS Security of Delegated Web Services. | Joonhee Lee, Hyunwoo Lee, Jongheon Jeong, Doowon Kim, Ted Taekyoung Kwon |
| 2021 | ICLR | Training GANs with Stronger Augmentations via Contrastive Discriminator. | Jongheon Jeong, Jinwoo Shin |
| 2020 | CVPR | M2m: Imbalanced Classification via Major-to-Minor Translation. | Jaehyung Kim, Jongheon Jeong, Jinwoo Shin |
| 2019 | ICML | Training CNNs with Selective Allocation of Channels. | Jongheon Jeong, Jinwoo Shin |