Google Scholar | Github | LinkedIn
<aside> 🤗 Hello, I am a Ph.D. student majoring ****in Artificial Intelligence at KAIST AI advised by Prof. Sung Ju Hwang. I am interested in large-scale, distributed, and automated machine learning, such as Federated Learning, AutoML, Meta-Learning, etc. I was a former Scientific Associate at BNL (Brookhaven National Laboratory) and received Honors BS degrees in both Computer Science and Applied Mathematics & Statistics from Stony Brook University.
</aside>
[C7] Personalized Subgraph Federated Learning
International Conference on Machine Learning, ICML 2023 [paper]
Jinheon Baek, Wonyong Jeong*, Jiongdao Jin, Jaehong Yoon, Sung Ju Hwang*
(*: equal contribution)
[C6] Factorized-FL: Personalized Federated Learning with Parameter Factorization & Similarity Matching
Neural Information Processing Systems, NeurIPS 2022 [paper]
Wonyong Jeong and Sung Ju Hwang
[C5] Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization
International Conference on Machine Learning, ICML 2022 [paper]
Jaehong Yoon, Geon Park*, Wonyong Jeong, Sung Ju Hwang* (* equal contribution)
[C4] Task-Adaptive Neural Network Retrieval with Meta-Contrastive Learning