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Jongheon Jeong

26 papers · 2019–2026 · 9 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+7 more ↓ πŸ—ΊοΈ Taxonomy Completionist (50) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
πŸ† Grand Slam 🧬 Topic Evolution 🀝 Dynamic Duo (19) ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (95)

Venues

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

Top co-authors

Jinwoo Shin (19) Kyungmin Lee (3) Huiwon Jang (3) Sihyun Yu (3) Jihoon Tack (3) June Suk Choi (2) Daewon Choi (2) Sejun Park (2) Sumin In (2) Hankook Lee (2)

Research topics

Machine Learning (20) Deep Learning (18) Learning Types Β· Machine Learning (13) Artificial Intelligence (11) Application Areas (10) Core AI (10) Models (9) Core Methods (7) Learning Types Β· Deep Learning (7) Optimization & Theory (6) Computer Vision (5) Architectures (3) Techniques (3) Analysis (2) Learning Paradigms (2)

Keywords

representation learning (8) diffusion model (6) adversarial robustness (6) randomized smoothing (4) certified robustness (4) contrastive learning (3) data augmentation (3) distribution shift (3) smoothed classifier (2) vision-language model (2) confidence calibration (2) text-to-image model (2) domain generalization (2) self-supervised learning (2) image generation (2) zero-shot learning (2) adversarial perturbation (2) consistency regularization (2) information bottleneck (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 WaTeRFlow: Watermark Temporal Robustness via Flow Consistency CVPR 2026 DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing ICLR 2025 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 Adversarial Robustification via Text-to-Image Diffusion Models ECCV 2024 Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models ICLR 2024 Collaborative Score Distillation for Consistent Visual Editing NeurIPS 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 Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder NeurIPS 2023 Multi-scale Diffusion Denoised Smoothing NeurIPS 2023 WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation CVPR 2023 Consistency Regularization for Adversarial Robustness AAAI 2022 NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation NeurIPS 2022 SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation ECCV 2022 SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness NeurIPS 2021 Training GANs with Stronger Augmentations via Contrastive Discriminator ICLR 2021 Consistency Regularization for Certified Robustness of Smoothed Classifiers NeurIPS 2020 CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances NeurIPS 2020 M2m: Imbalanced Classification via Major-to-Minor Translation CVPR 2020 Training CNNs with Selective Allocation of Channels ICML 2019