VFP: Converting Tabular Data for IIoT into Images Considering Correlations of Attributes for Convolutional Neural Networks. - Jong-Ik Park; Cheol-Ho Hong (CoRR, 2023)

Federated Learning with Flexible Architectures. - Jong-Ik Park; Carlee Joe-Wong (ECML/PKDD (2), 2024)

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 (CoRR, 2024)

FedBaF: Federated Learning Aggregation Biased by a Foundation Model. - Jong-Ik Park; Srinivasa Pranav; José M. F. Moura; Carlee Joe-Wong (AISTATS, 2025)

FedTLU: Federated Learning with Targeted Layer Updates. - Jong-Ik Park; Carlee Joe-Wong (ICASSP, 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)

MZEN: Multi-Zoom Enhanced NeRF for 3-D Reconstruction with Unknown Camera Poses. - Jong-Ik Park; Carlee Joe-Wong; Gary K. Fedder (CoRR, 2025)