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← Authors

Hankook Lee

17 papers · 2019–2026 · 7 conferences · across top CS/AI conferences

Achievements

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+9 more ↓ 🌍 Conference Polyglot (6) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (6)
🌈 Renaissance Researcher (5) πŸ—ΊοΈ Taxonomy Completionist (40) 🌍 Conference Polyglot (6) 🀝 Dynamic Duo (13) πŸ† Grand Slam πŸ”₯ Unstoppable (7) πŸ’Ž Century Club (16) ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (77)

Conferences

NIPS (4) CVPR (3) ICLR (3) ICML (3) AAAI (2) EACL (1) IJCAI (1)

Top co-authors

Jinwoo Shin (13) Sung Ju Hwang (4) Sungik Choi (3) Sungsoo Ahn (3) Honglak Lee (2) Jihoon Tack (2) Seung-Woo Seo (2) Eunho Yang (2) You Young Song (2) Junsu Kim (2)

Keywords

representation learning (5) self-supervised learning (4) transfer learning (2) deep neural network (2) knowledge distillation (2) contrastive learning (2) few-shot classification (2) out-of-distribution detection (2) graph neural network (2) diffusion model (2) molecular optimization (1) online learning (1) imitation learning (1) domain generalization (1) model selection (1) semantic segmentation (1) few-shot learning (1) adversarial robustness (1) continual learning (1) object detection (1)

Papers

AutoAnoEval: Semantic-Aware Model Selection via Tree-Guided LLM Reasoning for Tabular Anomaly Detection EACL 2026 Diffusion-based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection AAAI 2025 Learning Equi-angular Representations for Online Continual Learning CVPR 2024 Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models NIPS 2023 Enhancing Multiple Reliability Measures via Nuisance-Extended Information Bottleneck CVPR 2023 STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables ICLR 2023 Unsupervised Meta-learning via Few-shot Pseudo-supervised Contrastive Learning ICLR 2023 Guiding Energy-based Models via Contrastive Latent Variables ICLR 2023 Meta-Learning with Self-Improving Momentum Target NIPS 2022 Patch-Level Representation Learning for Self-Supervised Vision Transformers CVPR 2022 Self-Improved Retrosynthetic Planning ICML 2021 RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning IJCAI 2021 Improving Transferability of Representations via Augmentation-Aware Self-Supervision NIPS 2021 GTA: Graph Truncated Attention for Retrosynthesis AAAI 2021 Guiding Deep Molecular Optimization with Genetic Exploration NIPS 2020 Self-supervised Label Augmentation via Input Transformations ICML 2020 Learning What and Where to Transfer ICML 2019