| Preservation of the Global Knowledge by Not-True Distillation in Federated Learning G Lee*, M Jeong*, Y Shin, S Bae, SY Yun NeurIPS 2022, 2022 | 89 | 2022 |
| Mixco: Mix-up contrastive learning for visual representation S Kim*, G Lee*, S Bae*, SY Yun NeurIPS 2020 Workshop: Self-Supervised Learning Theory and Practice, 2020 | 64 | 2020 |
| The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions J Ma*, R Xie*, S Ayyadhury*, C Ge*, A Gupta*, R Gupta*, S Gu*, Y Zhang*, ... Nature Methods 2024, 2024 | 10 | 2024 |
| Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network S Bae*, S Kim*, J Ko, G Lee, S Noh, SY Yun AAAI 2023 (Oral), 2023 | 7 | 2023 |
| MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy G Lee*, SM Kim*, J Kim*, SY Yun NeurIPS 2022 Multi-modality Cell Segmentation Challenge, 2022 | 6 | 2022 |
| Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions T Kim*, J Kim*, G Lee*, SY Yun ICLR 2024 (Spotlight), 2024 | 3* | 2024 |
| FEWER: Federated Weight Recovery Y Shin*, G Lee*, S Shin, S Yun, I Moon DistributedML 2020, 1-6, 2020 | 2 | 2020 |
| SIPA: A simple framework for efficient networks G Lee*, S Bae*, J Oh, SY Yun NeurIPS 2019 MicroNet Challenge, 2020 | 1 | 2020 |
| FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning G Lee, M Jeong, S Kim, J Oh, SY Yun CVPR 2024, 2024 | | 2024 |
| FedFN: Feature Normalization for Alleviating Data Heterogeneity Problem in Federated Learning S Kim, G Lee, J Oh, SY Yun NeurIPS 2023 Workshop: Federated Learning in the Age of Foundation Models, 2023 | | 2023 |
| System, method, and computer-readable storage medium for federated learning of local model based on learning direction of global model G Lee, MC Jeong, SY Yun, SM Bae, JY Ahn, SY Kim, WJ Chung US Patent App. 17/974,545, 2023 | | 2023 |
| CoEM: Contrastive embedding Mapper for Audio-Visual Latents G Lee*, K Lee*, M Jeong*, M Lee, SY Yun, CH Youn KIISE 2023, 2023 | | 2023 |
| EPE-Net : Selective Classification based Early Prediction Extension for Network Inference Acceleration G Lee KAIST (Master Thesis), 2020 | | 2020 |
Se Young YunKAISTVerified email at kaist.ac.kr
