| 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 | 57 | 2021 |
| Mitigating embedding and class assignment mismatch in unsupervised image classification S Han, S Park, S Park, S Kim, M Cha Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 26 | 2020 |
| 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 | 21 | 2021 |
| 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 | 21 | 2021 |
| 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 | 20 | 2020 |
| 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 | 18 | 2020 |
| 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 | 9 | 2021 |
| 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 | 9 | 2019 |
| 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 | 8 | 2019 |
| 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 | 6 | 2020 |
| 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 | 5 | 2020 |
| 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 | 4 | 2022 |
| 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 | 4 | 2020 |
| FedX: Unsupervised Federated Learning with Cross Knowledge Distillation S Han, S Park, F Wu, S Kim, C Wu, X Xie, M Cha Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 3 | 2022 |
| Self-explaining deep models with logic rule reasoning S Lee, X Wang, S Han, X Yi, X Xie, M Cha arXiv preprint arXiv:2210.07024, 2022 | 3 | 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 | 3 | 2022 |
| 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 | 1 | 2022 |
| 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 | 1 | 2021 |
| 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 | 1 | 2020 |
| 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 | 1 | 2020 |
Meeyoung ChaKAIST & IBS在 kaist.ac.kr 的电子邮件经过验证
