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Jongheon Jeong

25 papers · 2019–2026 · 9 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (6) 🌈 Renaissance Researcher (5) 🌍 Conference Polyglot (9) πŸ—ΊοΈ Taxonomy Completionist (47)
πŸ—ΊοΈ Taxonomy Completionist (47) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (19) πŸ† Grand Slam πŸ† Keyword Champion πŸ”₯ Unstoppable (7) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (72) ⚑ Prolific Year (7) πŸ’Ž Century Club (23)

Conferences

NIPS (7) ICLR (5) AAAI (4) CVPR (3) ECCV (2) ACL (1) ICCV (1) ICML (1) IJCAI (1)

Top co-authors

Jinwoo Shin (19) Kyungmin Lee (3) Sihyun Yu (3) Huiwon Jang (3) Jihoon Tack (3) Daewon Choi (2) Jaehyung Kim (2) Hankook Lee (2) Sejun Park (2) Onkar Dabeer (2)

Keywords

adversarial robustness (5) representation learning (5) certified robustness (4) randomized smoothing (4) distribution shift (3) diffusion model (3) data augmentation (2) vision-language model (2) smoothed classifier (2) zero-shot learning (2) adversarial perturbation (2) consistency regularization (2) domain generalization (2) batch normalization (1) self-supervised learning (1) information bottleneck (1) feature learning (1) continual learning (1) test-time adaptation (1) anomaly detection (1)

Papers

Learning from the Undesirable: Robust Adaptation of Language Models Without Forgetting AAAI 2026 Margin-Aware Preference Optimization for Aligning Diffusion Models Without Reference AAAI 2026 EXPERT: An Explainable Image Captioning Evaluation Metric with Structured Explanations ACL 2025 FaceShield: Defending Facial Image against Deepfake Threats ICCV 2025 Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think ICLR 2025 StarFT: Robust Fine-tuning of Zero-shot Models via Spuriosity Alignment IJCAI 2025 DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing ICLR 2025 Adversarial Robustification via Text-to-Image Diffusion Models ECCV 2024 Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models ICLR 2024 WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation CVPR 2023 Multi-scale Diffusion Denoised Smoothing NIPS 2023 Collaborative Score Distillation for Consistent Visual Editing NIPS 2023 Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder NIPS 2023 Confidence-Aware Training of Smoothed Classifiers for Certified Robustness AAAI 2023 Enhancing Multiple Reliability Measures via Nuisance-Extended Information Bottleneck CVPR 2023 Guiding Energy-based Models via Contrastive Latent Variables ICLR 2023 SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation ECCV 2022 Consistency Regularization for Adversarial Robustness AAAI 2022 NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation NIPS 2022 SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness NIPS 2021 Training GANs with Stronger Augmentations via Contrastive Discriminator ICLR 2021 M2m: Imbalanced Classification via Major-to-Minor Translation CVPR 2020 CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances NIPS 2020 Consistency Regularization for Certified Robustness of Smoothed Classifiers NIPS 2020 Training CNNs with Selective Allocation of Channels ICML 2019