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Sungwon Han
Sungwon Han
在 kaist.ac.kr 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
212021
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
132020
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
132020
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
122020
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
102021
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
62020
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
62019
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
52019
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
42021
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
42020
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
42020
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 Association for the Advanced of Artificial Intelligence …, 2022
22022
Correction: 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), e28926-e28926, 2021
12021
A Comprehensive Approach to Unsupervised Embedding Learning based on AND Algorithm
S Han, Y Xu, S Park, M Cha, CT Li
arXiv preprint arXiv:2002.12158, 2020
12020
Predicting Urbanization from Daytime Satellite Imagery based on Descriptive Statistics
D Ahn, S Han, H Cha, M Cha
Workshop on AI and the United Nation SDGs, co-located with IJCAI, 2019
1*2019
Using Web Data to Reveal 22-Year History of Sneaker Designs
S Park, H Song, S Han, B Weldegebriel, L Manovich, E Arielli, M Cha
Proceedings of the ACM Web Conference 2022, 2967-2977, 2022
2022
Image analysis system and operating method of the same
M Cha, S Han, P Sungwon, KIM Sundong, P Sungkyu
US Patent App. 17/375,650, 2022
2022
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
2022
Weakly supervised method to predict economic development: A case study for Nepal and Cambodia
D Ahn, J Yang, S Park, S Han, E Lee, S Lee, H Yang, S Park, J Kim, ...
Data-driven Humanitarian Mapping Workshop 2021, 2021
2021
The Shape of Design History: Exploring Evolution of Sneakers Design at Scale Using Neural Embedding
S Park, H Song, S Han, L Manovich, E Arielli, M Cha
7th International Conference on Computational Social Science, 2021
2021
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