Jong-Ik Park

According to our database, Jong-Ik Park authored at least 8 papers between 2023 and 2025.

Collaborative distances:

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

2025

Fair Concurrent Training of Multiple Models in Federated Learning.

Marie Siew, Haoran Zhang, Jong-Ik Park, Yuezhou Liu, Yichen Ruan, Lili Su, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong

IEEE Trans. Netw., December, 2025

GLUE: Gradient-free Learning to Unify Experts.

Jong-Ik Park, Shreyas Chaudhari, Srinivasa Pranav, Carlee Joe-Wong, José M. F. Moura

CoRR, December, 2025

MZEN: Multi-Zoom Enhanced NeRF for 3-D Reconstruction with Unknown Camera Poses.

Jong-Ik Park, Carlee Joe-Wong, Gary K. Fedder

CoRR, August, 2025

Vortex Feature Positioning: Bridging tabular IIoT data and image-based deep learning.

Jong-Ik Park, Sihoon Seong, JunKyu Lee, Cheol-Ho Hong

Internet Things, 2025

FedTLU: Federated Learning with Targeted Layer Updates.

Jong-Ik Park, Carlee Joe-Wong

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

FedBaF: Federated Learning Aggregation Biased by a Foundation Model.

Jong-Ik Park, Srinivasa Pranav, José M. F. Moura, Carlee Joe-Wong

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Federated Learning with Flexible Architectures.

Jong-Ik Park, Carlee Joe-Wong

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

2023

VFP: Converting Tabular Data for IIoT into Images Considering Correlations of Attributes for Convolutional Neural Networks.

Jong-Ik Park, Cheol-Ho Hong

CoRR, 2023