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Hankook Lee
Hankook Lee
Assistant Professor, Department of Computer Science and Engineering at Sungkyunkwan University
Verified email at skku.edu - Homepage
Title
Cited by
Cited by
Year
Self-supervised Label Augmentation via Input Transformations
H Lee, SJ Hwang, J Shin
International Conference on Machine Learning, 2020
241*2020
Learning What and Where to Transfer
Y Jang*, H Lee*, SJ Hwang, J Shin
International Conference on Machine Learning, 2019
1652019
Guiding deep molecular optimization with genetic exploration
S Ahn, J Kim, H Lee, J Shin
Advances in neural information processing systems 33, 12008-12021, 2020
732020
Patch-Level Representation Learning for Self-Supervised Vision Transformers
S Yun, H Lee, J Kim, J Shin
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern íŽ, 2022
492022
GTA: Graph Truncated Attention for Retrosynthesis
SW Seo, YY Song, JY Yang, S Bae, H Lee, J Shin, SJ Hwang, E Yang
Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 531-539, 2021
462021
Improving transferability of representations via augmentation-aware self-supervision
H Lee, K Lee, K Lee, H Lee, J Shin
Advances in Neural Information Processing Systems 34, 17710-17722, 2021
342021
Self-improved retrosynthetic planning
J Kim, S Ahn, H Lee, J Shin
International Conference on Machine Learning, 5486-5495, 2021
212021
Anytime Neural Prediction via Slicing Networks Vertically
H Lee, J Shin
arXiv preprint arXiv:1807.02609, 2018
212018
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
J Nam, J Tack, K Lee, H Lee, J Shin
arXiv preprint arXiv:2303.00918, 2023
182023
RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning
H Lee, S Ahn, SW Seo, YY Song, E Yang, SJ Hwang, J Shin
arXiv preprint arXiv:2105.00795, 2021
152021
Unsupervised Meta-learning via Few-shot Pseudo-supervised Contrastive Learning
H Jang, H Lee, J Shin
arXiv preprint arXiv:2303.00996, 2023
122023
Guiding Energy-based Models via Contrastive Latent Variables
H Lee, J Jeong, S Park, J Shin
arXiv preprint arXiv:2303.03023, 2023
72023
Meta-Learning with Self-Improving Momentum Target
J Tack, J Park, H Lee, J Lee, J Shin
Advances in Neural Information Processing Systems 35, 6318-6332, 2022
62022
Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models
S Choi, H Lee, H Lee, M Lee
Advances in Neural Information Processing Systems 36, 2024
32024
Few-shot Anomaly Detection via Personalization
S Kwak, J Jeong, H Lee, W Kim, D Seo, W Yun, W Lee, J Shin
IEEE Access, 2024
12024
Diffusion-based Semantic-Discrepant Outlier Generation for Out-of-Distribution Detection
S Yoon, S Yoon, H Lee, S Han, YS Sim, K Lee, H Cho, W Lim
NeurIPS 2023 Workshop on Synthetic Data Generation with Generative AI, 2023
2023
Curve Your Attention: Mixed-Curvature Transformers for Graph Representation Learning
S Cho, S Cho, S Park, H Lee, H Lee, M Lee
arXiv preprint arXiv:2309.04082, 2023
2023
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck
J Jeong, S Yu, H Lee, J Shin
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern íŽ, 2023
2023
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