Tapnet: Neural network augmented with task-adaptive projection for few-shot learning SW Yoon, J Seo, J Moon International conference on machine learning, 7115-7123, 2019 | 312 | 2019 |
Performance comparison of detection methods in magnetic recording J Moon, LR Carley IEEE Transactions on Magnetics 26 (6), 3155-3172, 1990 | 262 | 1990 |
Equalization for maximum likelihood detectors J Moon, W Zeng IEEE Transactions on Magnetics 31 (2), 1083-1088, 1995 | 256 | 1995 |
Maximum transition run codes for data storage systems J Moon, B Brickner IEEE Transactions on Magnetics 32 (5), 3992-3994, 1996 | 219 | 1996 |
Digital front-end for wireless communication system Y Kim, J Moon US Patent 7,190,748, 2007 | 168 | 2007 |
Pattern-dependent noise prediction in signal-dependent noise J Moon, J Park IEEE Journal on Selected Areas in Communications 19 (4), 730-743, 2001 | 168 | 2001 |
Apparatus and method for dynamic diversity based upon receiver-side assessment of link quality J Moon, Y Kim, BJ Brickner, PC Edwards, ME Butenhoff US Patent 7,146,134, 2006 | 117 | 2006 |
Sageflow: Robust federated learning against both stragglers and adversaries J Park, DJ Han, M Choi, J Moon Advances in neural information processing systems 34, 840-851, 2021 | 114 | 2021 |
Discrete-time modeling of transition noise dominant channels and study of detection performance J Moon IEEE Transactions on Magnetics 27 (6), 4573-4578, 1991 | 112 | 1991 |
Error detection and correction using error pattern correcting codes J Moon, J Park US Patent 8,108,759, 2012 | 95 | 2012 |
Wireless video caching and dynamic streaming under differentiated quality requirements M Choi, J Kim, J Moon IEEE Journal on Selected Areas in Communications 36 (6), 1245-1257, 2018 | 90 | 2018 |
Hierarchical coding for distributed computing H Park, K Lee, J Sohn, C Suh, J Moon 2018 IEEE International Symposium on Information Theory (ISIT), 1630-1634, 2018 | 84 | 2018 |
Joint equalization, soft-demapping and phase error correction in wireless system with receive diversity Y Kim, FR Rad, BJ Brickner, J Moon US Patent 7,173,990, 2007 | 81 | 2007 |
Communication-computation efficient secure aggregation for federated learning B Choi, J Sohn, DJ Han, J Moon arXiv preprint arXiv:2012.05433, 2020 | 79 | 2020 |
Accelerating federated learning with split learning on locally generated losses DJ Han, HI Bhatti, J Lee, J Moon ICML 2021 workshop on federated learning for user privacy and data …, 2021 | 75 | 2021 |
A low-density generator matrix interpretation of parallel concatenated single bit parity codes TR Oenning, J Moon IEEE Transactions on Magnetics 37 (2), 737-741, 2001 | 74 | 2001 |
Signal-to-noise ratio definition for magnetic recording channels with transition noise J Moon IEEE transactions on magnetics 36 (5), 3881-3883, 2000 | 66 | 2000 |
Xtarnet: Learning to extract task-adaptive representation for incremental few-shot learning SW Yoon, DY Kim, J Seo, J Moon International Conference on Machine Learning, 10852-10860, 2020 | 62 | 2020 |
Capacity of clustered distributed storage J Sohn, B Choi, SW Yoon, J Moon IEEE Transactions on Information Theory 65 (1), 81-107, 2018 | 62 | 2018 |
Design of a rate 6/7 maximum transition run code B Brickner, J Moon IEEE Transactions on Magnetics 33 (5), 2749-2751, 1997 | 62 | 1997 |