Lee, Hankook

25 publications

AAAI 2025 Diffusion-Based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection Suhee Yoon, Sanghyu Yoon, Ye Seul Sim, Sungik Choi, Kyungeun Lee, Hye-Seung Cho, Hankook Lee, Woohyung Lim

NeurIPS 2025 TimePerceiver: An Encoder-Decoder Framework for Generalized Time-Series Forecasting Jaebin Lee, Hankook Lee

NeurIPS 2025 Training-Free Detection of AI-Generated Images via Cropping Robustness Sungik Choi, Hankook Lee, Moontae Lee

TMLR 2024 Holistic Molecular Representation Learning via Multi-View Fragmentation Seojin Kim, Jaehyun Nam, Junsu Kim, Hankook Lee, Sungsoo Ahn, Jinwoo Shin

CVPR 2024 Learning Equi-Angular Representations for Online Continual Learning Minhyuk Seo, Hyunseo Koh, Wonje Jeung, Minjae Lee, San Kim, Hankook Lee, Sungjun Cho, Sungik Choi, Hyunwoo Kim, Jonghyun Choi

NeurIPSW 2023 Diffusion-Based Semantic-Discrepant Outlier Generation for Out-of-Distribution Detection Suhee Yoon, Sanghyu Yoon, Hankook Lee, Sangjun Han, Ye Seul Sim, Kyungeun Lee, Hyeseung Cho, Woohyung Lim

CVPR 2023 Enhancing Multiple Reliability Measures via Nuisance-Extended Information Bottleneck Jongheon Jeong, Sihyun Yu, Hankook Lee, Jinwoo Shin

ICMLW 2023 Few-Shot Anomaly Detection via Personalization Sangkyung Kwak, Jongheon Jeong, Hankook Lee, Woohyuck Kim, Jinwoo Shin

ICLRW 2023 Fragment-Based Multi-View Molecular Contrastive Learning Seojin Kim, Jaehyun Nam, Junsu Kim, Hankook Lee, Sungsoo Ahn, Jinwoo Shin

ICLR 2023 Guiding Energy-Based Models via Contrastive Latent Variables Hankook Lee, Jongheon Jeong, Sejun Park, Jinwoo Shin

ICMLW 2023 Mixed-Curvature Transformers for Graph Representation Learning Sungjun Cho, Seunghyuk Cho, Sungwoo Park, Hankook Lee, Honglak Lee, Moontae Lee

NeurIPS 2023 Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models Sungik Choi, Hankook Lee, Honglak Lee, Moontae Lee

ICLR 2023 STUNT: Few-Shot Tabular Learning with Self-Generated Tasks from Unlabeled Tables Jaehyun Nam, Jihoon Tack, Kyungmin Lee, Hankook Lee, Jinwoo Shin

ICLR 2023 Unsupervised Meta-Learning via Few-Shot Pseudo-Supervised Contrastive Learning Huiwon Jang, Hankook Lee, Jinwoo Shin

NeurIPS 2022 Meta-Learning with Self-Improving Momentum Target Jihoon Tack, Jongjin Park, Hankook Lee, Jaeho Lee, Jinwoo Shin

CVPR 2022 Patch-Level Representation Learning for Self-Supervised Vision Transformers Sukmin Yun, Hankook Lee, Jaehyung Kim, Jinwoo Shin

NeurIPSW 2022 STUNT: Few-Shot Tabular Learning with Self-Generated Tasks from Unlabeled Tables Jaehyun Nam, Jihoon Tack, Kyungmin Lee, Hankook Lee, Jinwoo Shin

NeurIPSW 2022 Unsupervised Meta-Learning via Few-Shot Pseudo-Supervised Contrastive Learning Huiwon Jang, Hankook Lee, Jinwoo Shin

AAAI 2021 GTA: Graph Truncated Attention for Retrosynthesis Seung-Woo Seo, You Young Song, June Yong Yang, Seohui Bae, Hankook Lee, Jinwoo Shin, Sung Ju Hwang, Eunho Yang

NeurIPS 2021 Improving Transferability of Representations via Augmentation-Aware Self-Supervision Hankook Lee, Kibok Lee, Kimin Lee, Honglak Lee, Jinwoo Shin

IJCAI 2021 RetCL: A Selection-Based Approach for Retrosynthesis via Contrastive Learning Hankook Lee, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Eunho Yang, Sung Ju Hwang, Jinwoo Shin

ICML 2021 Self-Improved Retrosynthetic Planning Junsu Kim, Sungsoo Ahn, Hankook Lee, Jinwoo Shin

NeurIPS 2020 Guiding Deep Molecular Optimization with Genetic Exploration Sungsoo Ahn, Junsu Kim, Hankook Lee, Jinwoo Shin

ICML 2020 Self-Supervised Label Augmentation via Input Transformations Hankook Lee, Sung Ju Hwang, Jinwoo Shin

ICML 2019 Learning What and Where to Transfer Yunhun Jang, Hankook Lee, Sung Ju Hwang, Jinwoo Shin