Hankook Lee

43 papers A* 16A 1Journal 25Unranked 1
YearRankTypeTitle / Venue / Authors
2026 — conf
AutoAnoEval: Semantic-Aware Model Selection via Tree-Guided LLM Reasoning for Tabular Anomaly Detection.
EACL (Findings)
Suhee Yoon, Sanghyu Yoon, Ye Seul Sim, Seungdong Yoa, Dongmin Kim, Soonyoung Lee, Hankook Lee, Woohyung Lim
2025 A* conf
Diffusion-based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection.
AAAI
Suhee Yoon, Sanghyu Yoon, Ye Seul Sim, Sungik Choi, Kyungeun Lee, Hye-Seung Cho, Hankook Lee, Woohyung Lim
2025 J jnl
Not All Clients Are Equal: Personalized Federated Learning on Heterogeneous Multi-Modal Clients.
CoRR
Minhyuk Seo, Taeheon Kim, Hankook Lee, Jonghyun Choi, Tinne Tuytelaars
2025 J jnl
ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection.
CoRR
Sanghyu Yoon, Dongmin Kim, Suhee Yoon, Ye Seul Sim, Seungdong Yoa, Hye-Seung Cho, Soonyoung Lee, Hankook Lee, Woohyung Lim
2025 A conf
Rescuing the Unpoisoned: Efficient Defense Against Knowledge Corruption Attacks on RAG Systems.
ACSAC
Minseok Kim, Hankook Lee, Hyungjoon Koo
2025 J jnl
Rescuing the Unpoisoned: Efficient Defense against Knowledge Corruption Attacks on RAG Systems.
CoRR
Minseok Kim, Hankook Lee, Hyungjoon Koo
2025 J jnl
TimePerceiver: An Encoder-Decoder Framework for Generalized Time-Series Forecasting.
CoRR
Jaebin Lee, Hankook Lee
2025 J jnl
Training-free Detection of AI-generated images via Cropping Robustness.
CoRR
Sungik Choi, Hankook Lee, Moontae Lee
2024 J jnl
Diffusion based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection.
CoRR
Suhee Yoon, Sanghyu Yoon, Hankook Lee, Ye Seul Sim, Sungik Choi, Kyungeun Lee, Hye-Seung Cho, Woohyung Lim
2024 J jnl
Few-Shot Anomaly Detection via Personalization.
IEEE Access
Sangkyung Kwak, Jongheon Jeong, Hankook Lee, Woohyuck Kim, Dongho Seo, Woojin Yun, Wonjin Lee, Jinwoo Shin
2024 J jnl
Holistic Molecular Representation Learning via Multi-view Fragmentation.
Trans. Mach. Learn. Res.
Seojin Kim, Jaehyun Nam, Junsu Kim, Hankook Lee, Sungsoo Ahn, Jinwoo Shin
2024 A* conf
Learning Equi-Angular Representations for Online Continual Learning.
CVPR
Minhyuk Seo, Hyunseo Koh, Wonje Jeung, Minjae Lee, San Kim, Hankook Lee, Sungjun Cho, Sungik Choi, Hyunwoo Kim, Jonghyun Choi
2024 J jnl
Learning Equi-angular Representations for Online Continual Learning.
CoRR
Minhyuk Seo, Hyunseo Koh, Wonje Jeung, Minjae Lee, San Kim, Hankook Lee, Sungjun Cho, Sungik Choi, Hyunwoo Kim, Jonghyun Choi
2024 J jnl
Partial-Multivariate Model for Forecasting.
CoRR
Jaehoon Lee, Hankook Lee, Sungik Choi, Sungjun Cho, Moontae Lee
2023 J jnl
Curve Your Attention: Mixed-Curvature Transformers for Graph Representation Learning.
CoRR
Sungjun Cho, Seunghyuk Cho, Sungwoo Park, Hankook Lee, Honglak Lee, Moontae Lee
2023 A* conf
Enhancing Multiple Reliability Measures via Nuisance-Extended Information Bottleneck.
CVPR
Jongheon Jeong, Sihyun Yu, Hankook Lee, Jinwoo Shin
2023 J jnl
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck.
CoRR
Jongheon Jeong, Sihyun Yu, Hankook Lee, Jinwoo Shin
2023 A* conf
Guiding Energy-based Models via Contrastive Latent Variables.
ICLR
Hankook Lee, Jongheon Jeong, Sejun Park, Jinwoo Shin
2023 J jnl
Guiding Energy-based Models via Contrastive Latent Variables.
CoRR
Hankook Lee, Jongheon Jeong, Sejun Park, Jinwoo Shin
2023 A* conf
Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models.
NeurIPS
Sungik Choi, Hankook Lee, Honglak Lee, Moontae Lee
2023 J jnl
Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models.
CoRR
Sungik Choi, Hankook Lee, Honglak Lee, Moontae Lee
2023 A* conf
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables.
ICLR
Jaehyun Nam, Jihoon Tack, Kyungmin Lee, Hankook Lee, Jinwoo Shin
2023 J jnl
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables.
CoRR
Jaehyun Nam, Jihoon Tack, Kyungmin Lee, Hankook Lee, Jinwoo Shin
2023 J jnl
Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning.
CoRR
Huiwon Jang, Hankook Lee, Jinwoo Shin
2023 A* conf
Unsupervised Meta-learning via Few-shot Pseudo-supervised Contrastive Learning.
ICLR
Huiwon Jang, Hankook Lee, Jinwoo Shin
2022 A* conf
Meta-Learning with Self-Improving Momentum Target.
NeurIPS
Jihoon Tack, Jongjin Park, Hankook Lee, Jaeho Lee, Jinwoo Shin
2022 J jnl
Meta-Learning with Self-Improving Momentum Target.
CoRR
Jihoon Tack, Jongjin Park, Hankook Lee, Jaeho Lee, Jinwoo Shin
2022 A* conf
Patch-level Representation Learning for Self-supervised Vision Transformers.
CVPR
Sukmin Yun, Hankook Lee, Jaehyung Kim, Jinwoo Shin
2022 J jnl
Patch-level Representation Learning for Self-supervised Vision Transformers.
CoRR
Sukmin Yun, Hankook Lee, Jaehyung Kim, Jinwoo Shin
2021 A* conf
GTA: Graph Truncated Attention for Retrosynthesis.
AAAI
Seung-Woo Seo, You Young Song, June Yong Yang, Seohui Bae, Hankook Lee, Jinwoo Shin, Sung Ju Hwang, Eunho Yang
2021 A* conf
Improving Transferability of Representations via Augmentation-Aware Self-Supervision.
NeurIPS
Hankook Lee, Kibok Lee, Kimin Lee, Honglak Lee, Jinwoo Shin
2021 J jnl
Improving Transferability of Representations via Augmentation-Aware Self-Supervision.
CoRR
Hankook Lee, Kibok Lee, Kimin Lee, Honglak Lee, Jinwoo Shin
2021 A* conf
RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning.
IJCAI
Hankook Lee, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Eunho Yang, Sung Ju Hwang, Jinwoo Shin
2021 J jnl
RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning.
CoRR
Hankook Lee, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Sung Ju Hwang, Eunho Yang, Jinwoo Shin
2021 A* conf
Self-Improved Retrosynthetic Planning.
ICML
Junsu Kim, Sungsoo Ahn, Hankook Lee, Jinwoo Shin
2021 J jnl
Self-Improved Retrosynthetic Planning.
CoRR
Junsu Kim, Sungsoo Ahn, Hankook Lee, Jinwoo Shin
2020 A* conf
Guiding Deep Molecular Optimization with Genetic Exploration.
NeurIPS
Sungsoo Ahn, Junsu Kim, Hankook Lee, Jinwoo Shin
2020 J jnl
Guiding Deep Molecular Optimization with Genetic Exploration.
CoRR
Sungsoo Ahn, Junsu Kim, Hankook Lee, Jinwoo Shin
2020 A* conf
Self-supervised Label Augmentation via Input Transformations.
ICML
Hankook Lee, Sung Ju Hwang, Jinwoo Shin
2019 A* conf
Learning What and Where to Transfer.
ICML
Yunhun Jang, Hankook Lee, Sung Ju Hwang, Jinwoo Shin
2019 J jnl
Learning What and Where to Transfer.
CoRR
Yunhun Jang, Hankook Lee, Sung Ju Hwang, Jinwoo Shin
2019 J jnl
Rethinking Data Augmentation: Self-Supervision and Self-Distillation.
CoRR
Hankook Lee, Sung Ju Hwang, Jinwoo Shin
2018 J jnl
Anytime Neural Prediction via Slicing Networks Vertically.
CoRR
Hankook Lee, Jinwoo Shin