| Improving Unsupervised Image Clustering With Robust Learning S Park, S Han, S Kim, D Kim, S Park, S Hong, M Cha IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 110 | 2021 |
| FedX: Unsupervised Federated Learning with Cross Knowledge Distillation S Han, S Park, F Wu, S Kim, C Wu, X Xie, M Cha ECCV, 2022 | 59 | 2022 |
| 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 (ECCV), 2020 | 38 | 2020 |
| DATE: Dual Attentive Tree-aware Embedding for Customs Fraud Detection S Kim, YC Tsai, K Singh, Y Choi, E Ibok, CT Li, M Cha ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020 | 31 | 2020 |
| Disruption in the Chinese E-Commerce During COVID-19 Y Yuan, M Guan, Z Zhou, S Kim, M Cha, D Jin, Y Li Frontiers in Computer Science, 2021 | 22 | 2021 |
| FedDefender: Client-Side Attack-Tolerant Federated Learning S Park, S Han, F Wu, S Kim, BB Zhu, X Xie, M Cha KDD, 2023 | 20 | 2023 |
| Playgrounds for Abstraction and Reasoning S Kim, P Phunyaphibarn, D Ahn, S Kim NeurIPS Workshop on Neuro Causal and Symbolic AI (nCSI), 2022 | 20 | 2022 |
| Carpe Diem, Seize the Samples Uncertain" At the Moment" for Adaptive Batch Selection H Song, M Kim, S Kim, JG Lee Conference on Information and Knowledge Management (CIKM), 2020 | 17 | 2020 |
| Friend recommendation with a target user in social networking services S Kim IEEE International Conference on Data Engineering (ICDE PhD Symposium), 235-239, 2015 | 16 | 2015 |
| Active Learning for Human-in-the-loop Customs Inspection S Kim, TD Mai, S Han, S Park, TND Khanh, J So, K Singh, M Cha IEEE TKDE 35 (12), 12039-12052, 2023 | 15* | 2023 |
| Unraveling the ARC Puzzle: Mimicking Human Solutions with Object-Centric Decision Transformer J Park, J Im, S Hwang, M Lim, S Ualibekova, S Kim, S Kim arXiv:2306.08204, 2023 | 15* | 2023 |
| Ada-boundary: accelerating DNN training via adaptive boundary batch selection H Song, S Kim, M Kim, JG Lee Machine Learning, 1-17, 2020 | 15 | 2020 |
| Coherence-based Label Propagation over Time Series for Accelerated Active Learning Y Shin, S Yoon, S Kim, H Song, JG Lee, BS Lee ICLR, 2022 | 14 | 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, ... 한국인공지능학회 추계학술대회, 2021 | 13 | 2021 |
| Towards Attack-tolerant Federated Learning via Critical Parameter Analysis S Han, S Park, F Wu, S Kim, B Zhu, X Xie, M Cha ICCV, 2023 | 12 | 2023 |
| Utilizing in-store sensors for revisit prediction S Kim, JG Lee IEEE International Conference on Data Mining (ICDM), 217-226, 2018 | 11 | 2018 |
| Knowledge Sharing via Domain Adaptation in Customs Fraud Detection S Park, S Kim, M Cha AAAI, 2022 | 10 | 2022 |
| A systematic framework of predicting customer revisit with in-store sensors S Kim, JG Lee Knowledge and Information Systems, 1-31, 2019 | 9 | 2019 |
| Reasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning Corpus S Lee, W Sim, D Shin, S Hwang, W Seo, J Park, S Lee, S Kim, S Kim arXiv:2403.11793 (Conditionally Accepted to ACM Transactions on Intelligent …, 2024 | 8* | 2024 |
| Customs Import Declaration Datasets C Jeong, S Kim, J Park, Y Choi arXiv:2208.02484, 2022 | 7 | 2022 |
Meeyoung ChaMax Planck Institute for Security and Privacy (MPI-SP) and KAISTVerified email at mpi-sp.org
