| Chebyshev polynomial codes: Task entanglement-based coding for distributed matrix multiplication S Hong, H Yang, Y Yoon, T Cho, J Lee International Conference on Machine Learning, 4319-4327, 2021 | 10 | 2021 |
| Straggler-Exploiting Fully Private Distributed Matrix Multiplication With Chebyshev Polynomials S Hong, H Yang, Y Yoon, J Lee IEEE Transactions on Communications 71 (3), 1579-1594, 2023 | 3 | 2023 |
| Meta-ensemble learning with a multi-headed model for few-shot problems S Ha, Y Yoon, J Lee ICT Express 9 (5), 909-914, 2023 | 2 | 2023 |
| ReDiFine: Reusable Diffusion Finetuning for Mitigating Degradation in the Chain of Diffusion Y Yoon, D Hu, I Weissburg, Y Qin, H Jeong arXiv preprint arXiv:2407.17493, 2024 | | 2024 |
| Group-wise Verifiable Coded Computing under Byzantine Attacks and Stragglers S Hong, H Yang, Y Yoon, J Lee IEEE Transactions on Information Forensics and Security, 2024 | | 2024 |
| GBMix: Enhancing Fairness by Group-Balanced Mixup S Hong, Y Yoon, H Joo, J Lee IEEE Access, 2024 | | 2024 |
| Group-wise Verifiable Distributed Computing for Machine Learning under Adversarial Attacks S Hong, H Yang, Y Yoon, J Lee | | |
Sangwoo HongSeoul National University在 snu.ac.kr 的电子邮件经过验证
