| 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 | 143 | 2021 |
| 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 | 111 | 2022 |
| 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 | 75 | 2024 |
| 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 | 67* | 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 | 51 | 2020 |
| 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 | 47 | 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 | 40 | 2020 |
| 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 | 39 | 2023 |
| 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 | 34 | 2023 |
| 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 | 33 | 2019 |
| 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 | 30 | 2023 |
| 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 | 29 | 2023 |
| 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 | 28 | 2022 |
| 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 | 28 | 2019 |
| 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 | 26* | 2022 |
| 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 | 20 | 2022 |
| Elsa: Energy-based learning for semi-supervised anomaly detection S Han, H Song, S Lee, S Park, M Cha The 32nd British Machine Vision Conference, 2021 | 18 | 2021 |
| 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 | 12 | 2023 |
| Generalizable Disaster Damage Assessment via Change Detection with Vision Foundation Model K Ahn, S Han, S Park, J Kim, S Park, M Cha Proceedings of the AAAI Conference on Artificial Intelligence 39 (27), 27784 …, 2025 | 10 | 2025 |
| GeoSEE: Regional Socio-Economic Estimation With a Large Language Model S Han, D Ahn, S Lee, M Song, S Park, S Park, J Kim, M Cha arXiv preprint arXiv:2406.09799, 2024 | 10 | 2024 |
Meeyoung ChaScientific Director at MPI-SP, Professor at KAIST, ACM Distinguished MemberVerified email at mpi-sp.org
