| TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning SW Yoon, J Seo, J Moon International Conference on Machine Learning (ICML), 2019., 7115-7123, 2019 | 288 | 2019 |
| Capacity of clustered distributed storage J Sohn, B Choi, SW Yoon, J Moon IEEE Transactions on Information Theory 65 (1), 81-107, 2018 | 58 | 2018 |
| XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning SW Yoon*, DY Kim*, J Seo, J Moon, (*means equal contribution) International Conference on Machine Learning (ICML), PMLR 119, 2020., 10852 …, 2020 | 53 | 2020 |
| On reusing pilots among interfering cells in massive MIMO JY Sohn, SW Yoon, J Moon IEEE Transactions on Wireless Communications 16 (12), 8092-8104, 2017 | 25 | 2017 |
| Two-dimensional error-pattern-correcting codes SW Yoon, J Moon IEEE Transactions on Communications 63 (8), 2725-2740, 2015 | 13* | 2015 |
| Task-adaptive feature transformer with semantic enrichment for few-shot segmentation J Seo, YH Park, SW Yoon, J Moon arXiv preprint arXiv:2202.06498, 2022 | 10* | 2022 |
| When pilots should not be reused across interfering cells in massive MIMO JY Sohn, SW Yoon, J Moon 2015 IEEE international conference on communication workshop (ICCW), 1257-1263, 2015 | 9 | 2015 |
| Pilot reuse strategy maximizing the weighted-sum-rate in massive MIMO systems J Sohn, SW Yoon, J Moon IEEE Journal on Selected Areas in Communications 35 (8), 1728-1740, 2017 | 8 | 2017 |
| Secure clustered distributed storage against eavesdropping B Choi, JY Sohn, SW Yoon, J Moon IEEE Transactions on Information Theory 65 (11), 7646-7668, 2019 | 6* | 2019 |
| Low-complexity concatenated polar codes with excellent scaling behavior SW Yoon, J Moon 2017 IEEE International Conference on Communications Workshops (ICC …, 2017 | 5 | 2017 |
| Task-Adaptive Clustering for Semi-Supervised Few-Shot Classification J Seo*, SW Yoon*, J Moon, (*means equal contribution) arXiv preprint arXiv:2003.08221, 2020 | 2 | 2020 |
| Meta-Learner with Linear Nulling SW Yoon, J Seo, J Moon NeurIPS 2018 Workshop on Meta-Learning, 2018 | 2 | 2018 |
| POEM: Polarization of Embeddings for Domain-Invariant Representations SY Jo, SW Yoon AAAI Conference on Artificial Intelligence (AAAI), Washington D.C., US, 2023., 2023 | 1 | 2023 |
| RiSi: Spectro-temporal RAN-agnostic Modulation Identification for OFDMA Signals D Kurmantayev, D Kwun, H Kim, SW Yoon arXiv preprint arXiv:2211.12287, 2022 | 1 | 2022 |
| Controller and operating method thereof J Moon, K Soon-Young, Y Sung-Whan US Patent 10,528,496, 2020 | 1 | 2020 |
| XB-MAML: Learning Expandable Basis Parameters for Effective Meta-Learning with Wide Task Coverage JJ Lee, SW Yoon Proceedings of the 27th International Conference on Artificial Intelligence …, 2024 | | 2024 |
| MICS: Midpoint Interpolation To Learn Compact and Separated Representations for Few-Shot Class-Incremental Learning S Kim, Y Jeong, JS Park, SW Yoon Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | | 2024 |
| MetaVers: Meta-Learned Versatile Representations for Personalized Federated Learning JH Lim, SB Ha, SW Yoon Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | | 2024 |
| Analysis and optimization for non-orthogonal pilot sequence sets in massive MIMO systems HJ Lee, D Kwun, SW Yoon, JH Chung, SK Ahn Physical Communication 60, 102169, 2023 | | 2023 |
| Data processing apparatus by learning of neural network, data processing method by learning of neural network, and recording medium recording the data processing method J Moon, SW Yoon, J Seo US Patent 11,741,356, 2023 | | 2023 |
Jaekyun MoonUniversity of Minnesota, KAIST, Carnegie Mellon UniversityGeverifieerd e-mailadres voor kaist.edu
