John Won

According to our database, John Won authored at least 4 papers between 2022 and 2025.

Collaborative distances:

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

2025

CLIP Meets Diffusion: A Synergistic Approach to Anomaly Detection.

Byeongchan Lee, John Won, Seunghyun Lee, Jinwoo Shin

CoRR, June, 2025

2023

FedSelect: Customized Selection of Parameters for Fine-Tuning during Personalized Federated Learning.

Rishub Tamirisa, John Won, Chengjun Lu, Ron Arel, Andy Zhou

CoRR, 2023

Self-supervised Predictive Coding with Multimodal Fusion for Patient Deterioration Prediction in Fine-Grained Time Resolution.

Kwanhyung Lee, John Won, Heejung Hyun, Sangchul Hahn, Edward Choi, Joohyung Lee

Proceedings of the Trustworthy Machine Learning for Healthcare, 2023

2022

Self-supervised predictive coding and multimodal fusion advance patient deterioration prediction in fine-grained time resolution.

Kwanhyung Lee, John Won, Heejung Hyun, Sangchul Hahn, Edward Choi, Joohyung Lee

CoRR, 2022