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Jongheon Jeong
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2020 – today
- 2026
[c27]Yunhun Nam, Jaehyung Kim, Jongheon Jeong:
Learning from the Undesirable: Robust Adaptation of Language Models Without Forgetting. AAAI 2026: 32537-32545
[c26]Junghoon Kim, Jongheon Jeong, Seokwon Moon, Seong Hoon Seo, Yeonhong Park, Jinkyu Jeong, Nam Sung Kim, Jae W. Lee:
MemSOS: OS-Guided Selective Memory Mirroring. HPCA 2026: 1-15- 2025
[c25]Keun Soo Lim, Yunjay Hong, Jongheon Jeong, Sam Son, Donguk Kim, Yeonhong Park, Jae W. Lee, Jinkyu Jeong:
CPC: Coordinated Page Cache for Serverless Computing. PACT 2025: 84-96
[c24]Hyunjong Kim, Sangyeop Kim, Jongheon Jeong, Yeongjae Cho, Sungzoon Cho:
EXPERT: An Explainable Image Captioning Evaluation Metric with Structured Explanations. ACL (Findings) 2025: 26642-26657
[c23]June Suk Choi, Kyungmin Lee, Jongheon Jeong, Saining Xie, Jinwoo Shin, Kimin Lee:
DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing. ICLR 2025
[c22]Sihyun Yu, Sangkyung Kwak, Huiwon Jang, Jongheon Jeong, Jonathan Huang, Jinwoo Shin, Saining Xie:
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think. ICLR 2025
[c21]Younghyun Kim, Jongheon Jeong, Sangkyung Kwak, Kyungmin Lee, Juho Lee, Jinwoo Shin:
StarFT: Robust Fine-tuning of Zero-shot Models via Spuriosity Alignment. IJCAI 2025: 5536-5544
[i30]Hyomin Lee, Minseon Kim, Sangwon Jang, Jongheon Jeong, Sung Ju Hwang:
Enhancing Variational Autoencoders with Smooth Robust Latent Encoding. CoRR abs/2504.17219 (2025)
[i29]Younghyun Kim, Jongheon Jeong, Sangkyung Kwak, Kyungmin Lee, Juho Lee, Jinwoo Shin:
StarFT: Robust Fine-tuning of Zero-shot Models via Spuriosity Alignment. CoRR abs/2505.13232 (2025)
[i28]Hyunjong Kim, Sangyeop Kim
, Jongheon Jeong, Yeongjae Cho, Sungzoon Cho:
EXPERT: An Explainable Image Captioning Evaluation Metric with Structured Explanations. CoRR abs/2506.24016 (2025)
[i27]Jinsu Kim, Yunhun Nam, Minseon Kim, Sangpil Kim, Jongheon Jeong:
BlurGuard: A Simple Approach for Robustifying Image Protection Against AI-Powered Editing. CoRR abs/2511.00143 (2025)
[i26]Yunhun Nam, Jaehyung Kim, Jongheon Jeong:
Learning from the Undesirable: Robust Adaptation of Language Models without Forgetting. CoRR abs/2511.13052 (2025)
[i25]Utae Jeong, Sumin In, Hyunju Ryu, Jaewan Choi, Feng Yang, Jongheon Jeong, Seungryong Kim, Sangpil Kim:
WaTeRFlow: Watermark Temporal Robustness via Flow Consistency. CoRR abs/2512.19048 (2025)- 2024
[j2]Sangkyung Kwak
, Jongheon Jeong
, Hankook Lee
, Woohyuck Kim
, Dongho Seo
, Woojin Yun, Wonjin Lee, Jinwoo Shin
:
Few-Shot Anomaly Detection via Personalization. IEEE Access 12: 11035-11051 (2024)
[j1]Suhyeok Jang, Seojin Kim, Jinwoo Shin, Jongheon Jeong:
Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified Robustness. Trans. Mach. Learn. Res. 2024 (2024)
[c20]Daewon Choi, Jongheon Jeong
, Huiwon Jang, Jinwoo Shin:
Adversarial Robustification via Text-to-Image Diffusion Models. ECCV (81) 2024: 158-177
[c19]Kyuyoung Kim, Jongheon Jeong, Minyong An, Mohammad Ghavamzadeh, Krishnamurthy Dj Dvijotham, Jinwoo Shin, Kimin Lee:
Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models. ICLR 2024
[i24]Kyuyoung Kim, Jongheon Jeong, Minyong An, Mohammad Ghavamzadeh, Krishnamurthy Dvijotham, Jinwoo Shin, Kimin Lee:
Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models. CoRR abs/2404.01863 (2024)
[i23]Jiwoo Hong, Sayak Paul, Noah Lee, Kashif Rasul, James Thorne, Jongheon Jeong:
Margin-aware Preference Optimization for Aligning Diffusion Models without Reference. CoRR abs/2406.06424 (2024)
[i22]Daewon Choi, Jongheon Jeong, Huiwon Jang, Jinwoo Shin:
Adversarial Robustification via Text-to-Image Diffusion Models. CoRR abs/2407.18658 (2024)
[i21]June Suk Choi, Kyungmin Lee, Jongheon Jeong, Saining Xie, Jinwoo Shin, Kimin Lee:
DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing. CoRR abs/2410.05694 (2024)
[i20]Sihyun Yu, Sangkyung Kwak, Huiwon Jang, Jongheon Jeong, Jonathan Huang, Jinwoo Shin, Saining Xie:
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think. CoRR abs/2410.06940 (2024)
[i19]Suhyeok Jang, Seojin Kim, Jinwoo Shin, Jongheon Jeong:
Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified Robustness. CoRR abs/2411.08933 (2024)
[i18]Jaehwan Jeong
, Sumin In, Sieun Kim, Hannie Shin, Jongheon Jeong, Sang Ho Yoon, Jaewook Chung, Sangpil Kim:
FaceShield: Defending Facial Image against Deepfake Threats. CoRR abs/2412.09921 (2024)- 2023
[c18]Jongheon Jeong, Seojin Kim, Jinwoo Shin:
Confidence-Aware Training of Smoothed Classifiers for Certified Robustness. AAAI 2023: 8005-8013
[c17]Jongheon Jeong
, Sihyun Yu, Hankook Lee, Jinwoo Shin:
Enhancing Multiple Reliability Measures via Nuisance-Extended Information Bottleneck. CVPR 2023: 16206-16218
[c16]Jongheon Jeong, Yang Zou, Taewan Kim, Dongqing Zhang, Avinash Ravichandran, Onkar Dabeer:
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation. CVPR 2023: 19606-19616
[c15]Hankook Lee, Jongheon Jeong, Sejun Park, Jinwoo Shin:
Guiding Energy-based Models via Contrastive Latent Variables. ICLR 2023
[c14]Huiwon Jang, Jihoon Tack, Daewon Choi, Jongheon Jeong, Jinwoo Shin:
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder. NeurIPS 2023
[c13]Jongheon Jeong, Jinwoo Shin:
Multi-scale Diffusion Denoised Smoothing. NeurIPS 2023
[c12]Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin:
Collaborative Score Distillation for Consistent Visual Editing. NeurIPS 2023
[i17]Hankook Lee, Jongheon Jeong
, Sejun Park, Jinwoo Shin:
Guiding Energy-based Models via Contrastive Latent Variables. CoRR abs/2303.03023 (2023)
[i16]Jongheon Jeong
, Sihyun Yu, Hankook Lee, Jinwoo Shin:
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck. CoRR abs/2303.14096 (2023)
[i15]Jongheon Jeong
, Yang Zou, Taewan Kim, Dongqing Zhang, Avinash Ravichandran, Onkar Dabeer:
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation. CoRR abs/2303.14814 (2023)
[i14]Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin:
Collaborative Score Distillation for Consistent Visual Synthesis. CoRR abs/2307.04787 (2023)
[i13]Huiwon Jang, Jihoon Tack, Daewon Choi, Jongheon Jeong
, Jinwoo Shin:
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder. CoRR abs/2310.16318 (2023)
[i12]Jongheon Jeong
, Jinwoo Shin:
Multi-scale Diffusion Denoised Smoothing. CoRR abs/2310.16779 (2023)- 2022
[c11]Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin:
Consistency Regularization for Adversarial Robustness. AAAI 2022: 8414-8422
[c10]Jongjin Park, Sukmin Yun
, Jongheon Jeong
, Jinwoo Shin:
OpenCoS: Contrastive Semi-supervised Learning for Handling Open-Set Unlabeled Data. ECCV Workshops (2) 2022: 134-149
[c9]Yang Zou, Jongheon Jeong
, Latha Pemula, Dongqing Zhang, Onkar Dabeer:
SPot-the-Difference Self-supervised Pre-training for Anomaly Detection and Segmentation. ECCV (30) 2022: 392-408
[c8]Taesik Gong, Jongheon Jeong, Taewon Kim, Yewon Kim, Jinwoo Shin, Sung-Ju Lee:
NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation. NeurIPS 2022
[i11]Yang Zou, Jongheon Jeong
, Latha Pemula, Dongqing Zhang, Onkar Dabeer:
SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation. CoRR abs/2207.14315 (2022)
[i10]Taesik Gong, Jongheon Jeong
, Taewon Kim, Yewon Kim, Jinwoo Shin, Sung-Ju Lee:
Robust Continual Test-time Adaptation: Instance-aware BN and Prediction-balanced Memory. CoRR abs/2208.05117 (2022)
[i9]Jongheon Jeong
, Seojin Kim, Jinwoo Shin:
Confidence-aware Training of Smoothed Classifiers for Certified Robustness. CoRR abs/2212.09000 (2022)- 2021
[c7]Joonhee Lee, Hyunwoo Lee, Jongheon Jeong, Doowon Kim
, Ted Taekyoung Kwon:
Analyzing Spatial Differences in the TLS Security of Delegated Web Services. AsiaCCS 2021: 475-487
[c6]Jongheon Jeong, Jinwoo Shin:
Training GANs with Stronger Augmentations via Contrastive Discriminator. ICLR 2021
[c5]Jongheon Jeong, Sejun Park, Minkyu Kim, Heung-Chang Lee, Do-Guk Kim, Jinwoo Shin:
SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness. NeurIPS 2021: 30153-30168
[i8]Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin:
Consistency Regularization for Adversarial Robustness. CoRR abs/2103.04623 (2021)
[i7]Jongheon Jeong, Jinwoo Shin:
Training GANs with Stronger Augmentations via Contrastive Discriminator. CoRR abs/2103.09742 (2021)
[i6]Jongjin Park, Sukmin Yun, Jongheon Jeong, Jinwoo Shin:
OpenCoS: Contrastive Semi-supervised Learning for Handling Open-set Unlabeled Data. CoRR abs/2107.08943 (2021)
[i5]Jongheon Jeong, Sejun Park, Minkyu Kim, Heung-Chang Lee, Do-Guk Kim, Jinwoo Shin:
SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness. CoRR abs/2111.09277 (2021)- 2020
[c4]Jaehyung Kim, Jongheon Jeong
, Jinwoo Shin:
M2m: Imbalanced Classification via Major-to-Minor Translation. CVPR 2020: 13893-13902
[c3]Jongheon Jeong, Jinwoo Shin:
Consistency Regularization for Certified Robustness of Smoothed Classifiers. NeurIPS 2020
[c2]Jihoon Tack, Sangwoo Mo, Jongheon Jeong, Jinwoo Shin:
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances. NeurIPS 2020
[i4]Jaehyung Kim, Jongheon Jeong, Jinwoo Shin:
M2m: Imbalanced Classification via Major-to-minor Translation. CoRR abs/2004.00431 (2020)
[i3]Jongheon Jeong, Jinwoo Shin:
Consistency Regularization for Certified Robustness of Smoothed Classifiers. CoRR abs/2006.04062 (2020)
[i2]Jihoon Tack, Sangwoo Mo, Jongheon Jeong, Jinwoo Shin:
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances. CoRR abs/2007.08176 (2020)
2010 – 2019
- 2019
[c1]Jongheon Jeong, Jinwoo Shin:
Training CNNs with Selective Allocation of Channels. ICML 2019: 3080-3090
[i1]Jongheon Jeong, Jinwoo Shin:
Training CNNs with Selective Allocation of Channels. CoRR abs/1905.04509 (2019)
Coauthor Index

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last updated on 2026-03-27 21:04 CET by the dblp team
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