John Won

According to our database, John Won authored at least 6 papers between 2022 and 2026.

Collaborative distances:

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

2026

RoboCurate: Harnessing Diversity with Action-Verified Neural Trajectory for Robot Learning.

Seungku Kim, Suhyeok Jang, Byungjun Yoon, Dongyoung Kim, John Won, Jinwoo Shin

CoRR, February, 2026

2025

Dual-Stream Diffusion for World-Model Augmented Vision-Language-Action Model.

John Won, Kyungmin Lee, Huiwon Jang, Dongyoung Kim, Jinwoo Shin

CoRR, October, 2025

CLIP Meets Diffusion: A Synergistic Approach to Anomaly Detection.

Byeongchan Lee, John Won, Seunghyun Lee, Jinwoo Shin

Trans. Mach. Learn. Res., 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