Jongheon Jeong

60 papers A* 22A 1B 1Journal 32Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Learning from the Undesirable: Robust Adaptation of Language Models Without Forgetting. AAAI Yunhun Nam, Jaehyung Kim, Jongheon Jeong
2026	A*	`conf`	Margin-Aware Preference Optimization for Aligning Diffusion Models Without Reference. AAAI Jiwoo Hong, Sayak Paul, Noah Lee, Kashif Rasul, James Thorne, Jongheon Jeong
2026	A*	`conf`	MemSOS: OS-Guided Selective Memory Mirroring. HPCA Junghoon Kim, Jongheon Jeong, Seokwon Moon, Seong Hoon Seo, Yeonhong Park, Jinkyu Jeong, Nam Sung Kim, Jae W. Lee
2025	J	`jnl`	BlurGuard: A Simple Approach for Robustifying Image Protection Against AI-Powered Editing. CoRR Jinsu Kim, Yunhun Nam, Minseon Kim, Sangpil Kim, Jongheon Jeong
2025	B	`conf`	CPC: Coordinated Page Cache for Serverless Computing. PACT Keun Soo Lim, Yunjay Hong, Jongheon Jeong, Sam Son, Donguk Kim, Yeonhong Park, Jae W. Lee, Jinkyu Jeong
2025	A*	`conf`	DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing. ICLR June Suk Choi, Kyungmin Lee, Jongheon Jeong, Saining Xie, Jinwoo Shin, Kimin Lee
2025	—	`conf`	EXPERT: An Explainable Image Captioning Evaluation Metric with Structured Explanations. ACL (Findings) Hyunjong Kim, Sangyeop Kim, Jongheon Jeong, Yeongjae Cho, Sungzoon Cho
2025	J	`jnl`	EXPERT: An Explainable Image Captioning Evaluation Metric with Structured Explanations. CoRR Hyunjong Kim, Sangyeop Kim, Jongheon Jeong, Yeongjae Cho, Sungzoon Cho
2025	J	`jnl`	Enhancing Variational Autoencoders with Smooth Robust Latent Encoding. CoRR Hyomin Lee, Minseon Kim, Sangwon Jang, Jongheon Jeong, Sung Ju Hwang
2025	J	`jnl`	Learning from the Undesirable: Robust Adaptation of Language Models without Forgetting. CoRR Yunhun Nam, Jaehyung Kim, Jongheon Jeong
2025	A*	`conf`	Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think. ICLR Sihyun Yu, Sangkyung Kwak, Huiwon Jang, Jongheon Jeong, Jonathan Huang, Jinwoo Shin, Saining Xie
2025	A*	`conf`	StarFT: Robust Fine-tuning of Zero-shot Models via Spuriosity Alignment. IJCAI Younghyun Kim, Jongheon Jeong, Sangkyung Kwak, Kyungmin Lee, Juho Lee, Jinwoo Shin
2025	J	`jnl`	StarFT: Robust Fine-tuning of Zero-shot Models via Spuriosity Alignment. CoRR Younghyun Kim, Jongheon Jeong, Sangkyung Kwak, Kyungmin Lee, Juho Lee, Jinwoo Shin
2025	J	`jnl`	WaTeRFlow: Watermark Temporal Robustness via Flow Consistency. CoRR Utae Jeong, Sumin In, Hyunju Ryu, Jaewan Choi, Feng Yang, Jongheon Jeong, Seungryong Kim, Sangpil Kim
2024	—	`conf`	Adversarial Robustification via Text-to-Image Diffusion Models. ECCV (81) Daewon Choi, Jongheon Jeong, Huiwon Jang, Jinwoo Shin
2024	J	`jnl`	Adversarial Robustification via Text-to-Image Diffusion Models. CoRR Daewon Choi, Jongheon Jeong, Huiwon Jang, Jinwoo Shin
2024	J	`jnl`	Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified Robustness. CoRR Suhyeok Jang, Seojin Kim, Jinwoo Shin, Jongheon Jeong
2024	J	`jnl`	Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified Robustness. Trans. Mach. Learn. Res. Suhyeok Jang, Seojin Kim, Jinwoo Shin, Jongheon Jeong
2024	A*	`conf`	Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models. ICLR Kyuyoung Kim, Jongheon Jeong, Minyong An, Mohammad Ghavamzadeh, Krishnamurthy Dj Dvijotham, Jinwoo Shin, Kimin Lee
2024	J	`jnl`	Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models. CoRR Kyuyoung Kim, Jongheon Jeong, Minyong An, Mohammad Ghavamzadeh, Krishnamurthy Dvijotham, Jinwoo Shin, Kimin Lee
2024	J	`jnl`	DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing. CoRR June Suk Choi, Kyungmin Lee, Jongheon Jeong, Saining Xie, Jinwoo Shin, Kimin Lee
2024	J	`jnl`	FaceShield: Defending Facial Image against Deepfake Threats. CoRR Jaehwan Jeong, Sumin In, Sieun Kim, Hannie Shin, Jongheon Jeong, Sang Ho Yoon, Jaewook Chung, Sangpil Kim
2024	J	`jnl`	Few-Shot Anomaly Detection via Personalization. IEEE Access Sangkyung Kwak, Jongheon Jeong, Hankook Lee, Woohyuck Kim, Dongho Seo, Woojin Yun, Wonjin Lee, Jinwoo Shin
2024	J	`jnl`	Margin-aware Preference Optimization for Aligning Diffusion Models without Reference. CoRR Jiwoo Hong, Sayak Paul, Noah Lee, Kashif Rasul, James Thorne, Jongheon Jeong
2024	J	`jnl`	Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think. CoRR Sihyun Yu, Sangkyung Kwak, Huiwon Jang, Jongheon Jeong, Jonathan Huang, Jinwoo Shin, Saining Xie
2023	A*	`conf`	Collaborative Score Distillation for Consistent Visual Editing. NeurIPS Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin
2023	J	`jnl`	Collaborative Score Distillation for Consistent Visual Synthesis. CoRR Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin
2023	A*	`conf`	Confidence-Aware Training of Smoothed Classifiers for Certified Robustness. AAAI Jongheon Jeong, Seojin Kim, Jinwoo Shin
2023	A*	`conf`	Enhancing Multiple Reliability Measures via Nuisance-Extended Information Bottleneck. CVPR Jongheon Jeong, Sihyun Yu, Hankook Lee, Jinwoo Shin
2023	J	`jnl`	Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck. CoRR Jongheon Jeong, Sihyun Yu, Hankook Lee, Jinwoo Shin
2023	A*	`conf`	Guiding Energy-based Models via Contrastive Latent Variables. ICLR Hankook Lee, Jongheon Jeong, Sejun Park, Jinwoo Shin
2023	J	`jnl`	Guiding Energy-based Models via Contrastive Latent Variables. CoRR Hankook Lee, Jongheon Jeong, Sejun Park, Jinwoo Shin
2023	A*	`conf`	Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder. NeurIPS Huiwon Jang, Jihoon Tack, Daewon Choi, Jongheon Jeong, Jinwoo Shin
2023	J	`jnl`	Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder. CoRR Huiwon Jang, Jihoon Tack, Daewon Choi, Jongheon Jeong, Jinwoo Shin
2023	A*	`conf`	Multi-scale Diffusion Denoised Smoothing. NeurIPS Jongheon Jeong, Jinwoo Shin
2023	J	`jnl`	Multi-scale Diffusion Denoised Smoothing. CoRR Jongheon Jeong, Jinwoo Shin
2023	A*	`conf`	WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation. CVPR Jongheon Jeong, Yang Zou, Taewan Kim, Dongqing Zhang, Avinash Ravichandran, Onkar Dabeer
2023	J	`jnl`	WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation. CoRR Jongheon Jeong, Yang Zou, Taewan Kim, Dongqing Zhang, Avinash Ravichandran, Onkar Dabeer
2022	J	`jnl`	Confidence-aware Training of Smoothed Classifiers for Certified Robustness. CoRR Jongheon Jeong, Seojin Kim, Jinwoo Shin
2022	A*	`conf`	Consistency Regularization for Adversarial Robustness. AAAI Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin
2022	A*	`conf`	NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation. NeurIPS Taesik Gong, Jongheon Jeong, Taewon Kim, Yewon Kim, Jinwoo Shin, Sung-Ju Lee
2022	—	`conf`	OpenCoS: Contrastive Semi-supervised Learning for Handling Open-Set Unlabeled Data. ECCV Workshops (2) Jongjin Park, Sukmin Yun, Jongheon Jeong, Jinwoo Shin
2022	J	`jnl`	Robust Continual Test-time Adaptation: Instance-aware BN and Prediction-balanced Memory. CoRR Taesik Gong, Jongheon Jeong, Taewon Kim, Yewon Kim, Jinwoo Shin, Sung-Ju Lee
2022	J	`jnl`	SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation. CoRR Yang Zou, Jongheon Jeong, Latha Pemula, Dongqing Zhang, Onkar Dabeer
2022	—	`conf`	SPot-the-Difference Self-supervised Pre-training for Anomaly Detection and Segmentation. ECCV (30) Yang Zou, Jongheon Jeong, Latha Pemula, Dongqing Zhang, Onkar Dabeer
2021	A	`conf`	Analyzing Spatial Differences in the TLS Security of Delegated Web Services. AsiaCCS Joonhee Lee, Hyunwoo Lee, Jongheon Jeong, Doowon Kim, Ted Taekyoung Kwon
2021	J	`jnl`	Consistency Regularization for Adversarial Robustness. CoRR Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin
2021	J	`jnl`	OpenCoS: Contrastive Semi-supervised Learning for Handling Open-set Unlabeled Data. CoRR Jongjin Park, Sukmin Yun, Jongheon Jeong, Jinwoo Shin
2021	A*	`conf`	SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness. NeurIPS Jongheon Jeong, Sejun Park, Minkyu Kim, Heung-Chang Lee, Do-Guk Kim, Jinwoo Shin
2021	J	`jnl`	SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness. CoRR Jongheon Jeong, Sejun Park, Minkyu Kim, Heung-Chang Lee, Do-Guk Kim, Jinwoo Shin
2021	A*	`conf`	Training GANs with Stronger Augmentations via Contrastive Discriminator. ICLR Jongheon Jeong, Jinwoo Shin
2021	J	`jnl`	Training GANs with Stronger Augmentations via Contrastive Discriminator. CoRR Jongheon Jeong, Jinwoo Shin
2020	A*	`conf`	CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances. NeurIPS Jihoon Tack, Sangwoo Mo, Jongheon Jeong, Jinwoo Shin
2020	J	`jnl`	CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances. CoRR Jihoon Tack, Sangwoo Mo, Jongheon Jeong, Jinwoo Shin
2020	A*	`conf`	Consistency Regularization for Certified Robustness of Smoothed Classifiers. NeurIPS Jongheon Jeong, Jinwoo Shin
2020	J	`jnl`	Consistency Regularization for Certified Robustness of Smoothed Classifiers. CoRR Jongheon Jeong, Jinwoo Shin
2020	A*	`conf`	M2m: Imbalanced Classification via Major-to-Minor Translation. CVPR Jaehyung Kim, Jongheon Jeong, Jinwoo Shin
2020	J	`jnl`	M2m: Imbalanced Classification via Major-to-minor Translation. CoRR Jaehyung Kim, Jongheon Jeong, Jinwoo Shin
2019	A*	`conf`	Training CNNs with Selective Allocation of Channels. ICML Jongheon Jeong, Jinwoo Shin
2019	J	`jnl`	Training CNNs with Selective Allocation of Channels. CoRR Jongheon Jeong, Jinwoo Shin