Publications

ELL member, first author¹, corresponding author⁺

Conference
A Debiased Reconstruction-based Framework for Training-Free Detection of AI-Generated Images
Sungik Choi¹, Hankook Lee, Jaehoon Lee, Robin Kim, Jungkyu Choi, Moontae Lee⁺
- The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR Highlight), 2026
Conference
Is Prompt Selection Necessary for Task-Free Online Continual Learning?
Seoyoung Park¹, Haemin Lee, Hankook Lee⁺
- The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR Findings), 2026
- Links: arxiv, code
Conference
Co-LoRA: Collaborative Model Personalization on Heterogeneous Multi-Modal Clients
Minhyuk Seo¹, Taeheon Kim¹, Hankook Lee, Jonghyun Choi⁺, Tinne Tuytelaars⁺
- International Conference on Learning Representations (ICLR), 2026
- Best Paper Award @ AAAI 2026 Workshop of PerFM
- Links: paper, arxiv
Conference
ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection
Sanghyu Yoon¹, Dongmin Kim¹, Suhee Yoon, Ye Seul Sim, Seungdong Yoa, Hye-Seung Cho, Soonyoung Lee, Hankook Lee⁺, Woohyung Lim⁺
- International Conference on Learning Representations (ICLR), 2026
- Links: paper, arxiv, code
Conference
AutoAnoEval: Semantic-Aware Model Selection via Tree-Guided LLM Reasoning for Tabular Anomaly Detection
Suhee Yoon¹, Sanghyu Yoon, Ye Seul Sim, Seungdong Yoa, Dongmin Kim, Soonyoung Lee, Hankook Lee⁺, Woohyung Lim⁺
- Conference of the European Chapter of the Association for Computational Linguistics (EACL Findings), 2026
Conference
TimePerceiver: An Encoder-Decoder Framework for Generalized Time-Series Forecasting
Jaebin Lee¹, Hankook Lee⁺
- Neural Information Processing Systems (NeurIPS), 2025
- Links: paper, arxiv, code
Conference
Training-free Detection of AI-generated images via Cropping Robustness
Sungik Choi¹, Hankook Lee, Moontae Lee⁺
- Neural Information Processing Systems (NeurIPS), 2025
- Links: paper, arxiv, code
Conference
Rescuing the Unpoisoned: Efficient Defense against Knowledge Corruption Attacks on RAG Systems
Minseok Kim¹, Hankook Lee, Hyungjoon Koo⁺
- Annual Computer Security Applications Conference (ACSAC), 2025
- Links: arxiv
Conference
Diffusion-based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection
Suhee Yoon¹, Sanghyu Yoon¹, Ye Seul Sim, Sungik Choi, Kyungeun Lee, Hye-seung Cho, Hankook Lee⁺, Woohyung Lim⁺
- AAAI Conference on Artificial Intelligence (AAAI), 2025
- Links: paper, arxiv
Conference
Learning Equi-angular Representations for Online Continual Learning
Minhyuk Seo¹, Hyunseo Koh, Wonje Jeung, Min Jae Lee, San Kim, Hankook Lee, Sungjun Cho, Sungik Choi, Hyunwoo Kim⁺, Jonghyun Choi⁺
- Conference on Computer Vision and Pattern Recognition (CVPR), 2024
- Conference on Lifelong Learning Agents (CoLLAs) Workshop, 2024
- Links: paper, arxiv, code
Journal
Holistic Molecular Representation Learning via Multi-view Fragmentation
Seojin Kim¹, Jaehyun Nam¹, Junsu Kim, Hankook Lee, Sungsoo Ahn, Jinwoo Shin⁺
- Transactions on Machine Learning Research (TMLR), 2024
- ICLR Workshop on Machine Learning for Materials (ML4Materials), 2023
- Links: paper
Conference
Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models
Sungik Choi¹, Hankook Lee, Honglak Lee, Moontae Lee⁺
- Neural Information Processing Systems (NeurIPS), 2023
- Links: paper, arxiv
Workshop
Mixed-Curvature Transformers for Graph Representation Learning
Sungjun Cho¹, Seunghyuk Cho, Sungwoo Park, Hankook Lee, Honglak Lee, Moontae Lee⁺
- ICML Workshop on Topology, Algebra, and Geometry in Machine Learning (TAG-ML), 2023
- Links: paper
Conference
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck
Jongheon Jeong¹, Sihyun Yu, Hankook Lee, Jinwoo Shin⁺
- Computer Vision and Pattern Recognition (CVPR), 2023
- ECCV Workshop on Out-of-distribution Generalization in Computer Vision (OOD-CV), 2022
- Links: paper, arxiv, code, talk, slide, poster
Conference
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
Jaehyun Nam¹, Jihoon Tack, Kyungmin Lee, Hankook Lee, Jinwoo Shin⁺
- International Conference on Learning Representations (ICLR), Spotlight, 2023
- Samsung Humantech Paper Awards, Bronze Prize, 2023
- NeurIPS Workshop on Table Representation Learning (TRL), 2022
- Links: paper, arxiv, code
Conference
Unsupervised Meta-learning via Few-shot Pseudo-supervised Contrastive Learning
Huiwon Jang¹, Hankook Lee¹, Jinwoo Shin⁺
- International Conference on Learning Representations (ICLR), Spotlight, 2023
- NeurIPS Workshop on Meta-Learning (MetaLearn), 2022
- Links: paper, arxiv, code
Conference
Guiding Energy-based Models via Contrastive Latent Variables
Hankook Lee¹, Jongheon Jeong, Sejun Park, Jinwoo Shin⁺
- International Conference on Learning Representations (ICLR), Spotlight, 2023
- NeurIPS Workshop on Self-Supervised Learning (NeurIPSW-SSL), Oral, 2022
- Links: paper, arxiv, code
Conference
Meta-Learning with Self-Improving Momentum Target
Jihoon Tack¹, Hankook Lee, Jongjin Park, Jaeho Lee, Jinwoo Shin⁺
- Neural Information Processing Systems (NeurIPS), 2022
- Links: paper, arxiv, slide, poster, code
Conference
Patch-level Representation Learning for Self-supervised Vision Transformers
Sukmin Yun¹, Hankook Lee, Jaehyung Kim, Jinwoo Shin⁺
- Computer Vision and Pattern Recognition (CVPR), Oral, 2022
- Links: paper, arxiv, poster, code
Conference
Improving Transferability of Representations via Augmentation-Aware Self-Supervision
Hankook Lee¹, Kibok Lee, Kimin Lee, Honglak Lee, Jinwoo Shin⁺
- Neural Information Processing Systems (NeurIPS), 2021
- ICML 2021 Workshop: Self-Supervised Learning for Reasoning and Perception
- Links: paper, arxiv, slide, poster, code
Conference
RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning
Hankook Lee¹, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Eunho Yang, Sung Ju Hwang, Jinwoo Shin⁺
- International Joint Conference on Artificial Intelligence (IJCAI), 2021
- NeurIPS Workshop for Machine Learning for Molecules, 2020
- Links: paper, arxiv, slide, poster, code
Conference
Self-Improved Retrosynthetic Planning
Junsu Kim¹, Sungsoo Ahn, Hankook Lee, Jinwoo Shin⁺
- International Conference on Machine Learning (ICML), 2021
- Links: paper, arxiv, slide, poster, code
Conference
GTA: Graph Truncated Attention for Retrosynthesis
Seung-Woo Seo¹, You Young Song¹, June Yong Yang, Seohui Bae, Hankook Lee, Jinwoo Shin, Sung Ju Hwang, Eunho Yang⁺
- AAAI Conference on Artificial Intelligence (AAAI), 2021
- Links: paper
Conference
Guiding Deep Molecular Optimization with Genetic Exploration
Sungsoo Ahn¹, Junsu Kim, Hankook Lee, Jinwoo Shin⁺
- Neural Information Processing Systems (NeurIPS), 2020
- Links: paper, arxiv, code
Conference
Self-supervised Label Augmentation via Input Transformations
Hankook Lee¹, Sung Ju Hwang, Jinwoo Shin⁺
- International Conference on Machine Learning (ICML), 2020
- Qualcomm-KAIST Innovation Awards, 2019
- Links: paper, arxiv, code
Conference
Learning What and Where to Transfer
Yunhun Jang¹, Hankook Lee¹, Sung Ju Hwang, Jinwoo Shin⁺
- International Conference on Machine Learning (ICML), 2019
- Links: paper, arxiv, code, slide

Publications

A Debiased Reconstruction-based Framework for Training-Free Detection of AI-Generated Images

Is Prompt Selection Necessary for Task-Free Online Continual Learning?

Co-LoRA: Collaborative Model Personalization on Heterogeneous Multi-Modal Clients

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection

AutoAnoEval: Semantic-Aware Model Selection via Tree-Guided LLM Reasoning for Tabular Anomaly Detection

TimePerceiver: An Encoder-Decoder Framework for Generalized Time-Series Forecasting

Training-free Detection of AI-generated images via Cropping Robustness

Rescuing the Unpoisoned: Efficient Defense against Knowledge Corruption Attacks on RAG Systems

Diffusion-based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection

Learning Equi-angular Representations for Online Continual Learning

Holistic Molecular Representation Learning via Multi-view Fragmentation

Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models

Mixed-Curvature Transformers for Graph Representation Learning

Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck

STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables

Unsupervised Meta-learning via Few-shot Pseudo-supervised Contrastive Learning

Guiding Energy-based Models via Contrastive Latent Variables

Meta-Learning with Self-Improving Momentum Target

Patch-level Representation Learning for Self-supervised Vision Transformers

Improving Transferability of Representations via Augmentation-Aware Self-Supervision

RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning

Self-Improved Retrosynthetic Planning

GTA: Graph Truncated Attention for Retrosynthesis

Guiding Deep Molecular Optimization with Genetic Exploration

Self-supervised Label Augmentation via Input Transformations

Learning What and Where to Transfer