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Sungwon Han
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Year
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
852021
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
342020
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
312022
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
312021
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
312020
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
282020
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
162019
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
152021
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
152019
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
92020
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
82022
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
82022
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
72020
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
52023
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
52022
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
52020
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
32023
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
32023
A Comprehensive and Adversarial Approach to Self-Supervised Representation Learning
YZ Xu, S Han, S Park, M Cha, CT Li
2020 IEEE International Conference on Big Data (Big Data), 709-717, 2020
3*2020
DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision
S Han, S Lee, F Wu, S Kim, C Wu, X Wang, X Xie, M Cha
Proceedings of the ACM Web Conference 2023, 3766-3774, 2023
22023
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