Do-Yeon Kim

According to our database, Do-Yeon Kim authored at least 9 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Adaptive Energy Alignment for Accelerating Test-Time Adaptation.

Wonjeong Choi, Do-Yeon Kim, Jungwuk Park, Jungmoon Lee, Younghyun Park, Dong-Jun Han, Jaekyun Moon

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Federated Split Learning With Joint Personalization-Generalization for Inference-Stage Optimization in Wireless Edge Networks.

Dong-Jun Han, Do-Yeon Kim, Minseok Choi, David Nickel, Jaekyun Moon, Mung Chiang, Christopher G. Brinton

IEEE Trans. Mob. Comput., June, 2024

Achieving Lossless Gradient Sparsification via Mapping to Alternative Space in Federated Learning.

Do-Yeon Kim, Dong-Jun Han, Jun Seo, Jaekyun Moon

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

EvoFed: Leveraging Evolutionary Strategies for Communication-Efficient Federated Learning.

Mohammad Mahdi Rahimi, Hasnain Irshad Bhatti, Younghyun Park, Humaira Kousar, Do-Yeon Kim, Jaekyun Moon

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SplitGP: Achieving Both Generalization and Personalization in Federated Learning.

Dong-Jun Han, Do-Yeon Kim, Minseok Choi, Christopher G. Brinton, Jaekyun Moon

Proceedings of the IEEE INFOCOM 2023, 2023

Warping the Space: Weight Space Rotation for Class-Incremental Few-Shot Learning.

Do-Yeon Kim, Dong-Jun Han, Jun Seo, Jaekyun Moon

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Deep Neural Network Compression for Image Inpainting.

Soyeong Kim, Do-Yeon Kim, Jaekyun Moon

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Few-Round Learning for Federated Learning.

Younghyun Park, Dong-Jun Han, Do-Yeon Kim, Jun Seo, Jaekyun Moon

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning.

Sung Whan Yoon, Do-Yeon Kim, Jun Seo, Jaekyun Moon

Proceedings of the 37th International Conference on Machine Learning, 2020