| 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 |
| 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 | 52 | 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 |
| 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 |
| 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 |
| Disaster assessment using computer vision and satellite imagery: Applications in water-related building damage detection D Kim, J Won, E Lee, KR Park, J Kim, S Park, H Yang, S Park, D Ahn, ... | 25* | 2023 |
| Downscaling earth system models with deep learning S Park, K Singh, A Nellikkattil, E Zeller, TD Mai, M Cha Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 24 | 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 |
| Knowledge sharing via domain adaptation in customs fraud detection S Park, S Kim, M Cha Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12062 …, 2022 | 19 | 2022 |
| Classification of goods using text descriptions with sentences retrieval E Lee, S Kim, S Kim, S Park, M Cha, S Jung, S Yang, Y Choi, S Ji, M Song, ... arXiv preprint arXiv:2111.01663, 2021 | 18 | 2021 |
| 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 | 18 | 2021 |
| 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 |
| Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection S Park, S Han, X Xie, JG Lee, M Cha Proceedings of the ACM on Web Conference 2025, 4024-4033, 2025 | 9 | 2025 |
| Assessing climate risks from satellite imagery with machine learning: A case study of flood risks in Jakarta J Yang, D Ahn, J Bahk, S Park, N Rizqihandari, M Cha Climate Risk Management 46, 100651, 2024 | 8 | 2024 |
| 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 | 5* | 2020 |
Meeyoung ChaScientific Director at MPI-SP, Professor at KAIST, ACM Distinguished MemberVerified email at mpi-sp.org
