Следене
Sungwon Han
Sungwon Han
KAIST
Потвърден имейл адрес: kaist.ac.kr
Заглавие
Позовавания
Позовавания
Година
Improving Unsupervised Image Clustering With Robust Learning
S Park, S Han, S Kim, D Kim, S Park, S Hong, M Cha
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
1192021
FedX: Unsupervised federated learning with cross knowledge distillation
S Han, S Park, F Wu, S Kim, C Wu, X Xie, M Cha
European Conference on Computer Vision, 691-707, 2022
662022
COVID-19 discourse on twitter in four asian countries: Case study of risk communication
S Park, S Han, J Kim, MM Molaie, HD Vu, K Singh, J Han, W Lee, M Cha
Journal of medical Internet research 23 (3), e23272, 2021
402021
Mitigating embedding and class assignment mismatch in unsupervised image classification
S Han, S Park, S Park, S Kim, M Cha
European Conference on Computer Vision, 768-784, 2020
392020
Learning to Score Economic Development from Satellite Imagery
S Han, D Ahn, S Park, J Yang, S Lee, J Kim, H Yang, S Park, M Cha
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
382020
Lightweight and Robust Representation of Economic Scales from Satellite Imagery
S Han, D Ahn, H Cha, J Yang, S Park, M Cha
Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 428-436, 2020
302020
FedDefender: Client-Side Attack-Tolerant Federated Learning
S Park, S Han, F Wu, S Kim, B Zhu, X Xie, M Cha
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
232023
Learning sleep quality from daily logs
S Park, CT Li, S Han, C Hsu, SW Lee, M Cha
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
232019
Clustering Insomnia Patterns by Data From Wearable Devices: Algorithm Development and Validation Study
S Park, SW Lee, S Han, M Cha
JMIR mHealth and uHealth 7 (12), e14473, 2019
212019
Self-explaining deep models with logic rule reasoning
S Lee, X Wang, S Han, X Yi, X Xie, M Cha
Advances in Neural Information Processing Systems 35, 3203-3216, 2022
162022
Elsa: Energy-based learning for semi-supervised anomaly detection
S Han, H Song, S Lee, S Park, M Cha
arXiv preprint arXiv:2103.15296, 2021
162021
Unified neural topic model via contrastive learning and term weighting
S Han, M Shin, S Park, C Jung, M Cha
Proceedings of the 17th Conference of the European Chapter of the …, 2023
152023
Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning
S Han, J Yoon, SO Arik, T Pfister
Proceedings of the 41st International Conference on Machine Learning, 2024
142024
A human-machine collaborative approach measures economic development using satellite imagery
D Ahn, J Yang, M Cha, H Yang, J Kim, S Park, S Han, E Lee, S Lee, ...
Nature Communications 14 (1), 6811, 2023
132023
Towards Attack-tolerant Federated Learning via Critical Parameter Analysis
S Han, S Park, F Wu, S Kim, B Zhu, X Xie, M Cha
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
132023
Active Learning for Human-in-the-Loop Customs Inspection
S Kim, TD Mai, S Han, S Park, T Nguyen, J So, K Singh, M Cha
IEEE Transactions on Knowledge and Data Engineering, 2022
132022
Risk Communication in Asian Countries: COVID-19 Discourse on Twitter
S Park, S Han, J Kim, MM Molaie, HD Vu, K Singh, J Han, W Lee, M Cha
arXiv preprint arXiv:2006.12218, 2020
132020
Learning economic indicators by aggregating multi-level geospatial information
S Park, S Han, D Ahn, J Kim, J Yang, S Lee, S Hong, J Kim, S Park, ...
Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12053 …, 2022
92022
A Risk Communication Event Detection Model via Contrastive Learning
M Shin, S Han, S Park, M Cha
Proceedings of the 3rd NLP4IF Workshop on NLP for Internet Freedom …, 2020
82020
Take a Chance: Managing the Exploitation-Exploration Dilemma in Customs Fraud Detection via Online Active Learning
S Kim, TD Mai, TND Khanh, S Han, S Park, K Singh, M Cha
arXiv preprint arXiv:2010.14282, 2020
62020
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