Predictive Modeling in Symbolic Vital Signs for Clinical Critical Events in the Neonatal Intensive Care Unit. - WonGeun Song; Hyunyoung Baek; Changwon Choi; Younghwa Jung; Sooyoung Yoo (AMIA, 2020)

Curb Detection and Tracking in Low-Resolution 3D Point Clouds Based on Optimization Framework. - Younghwa Jung; Seung-Woo Seo; Seong-Woo Kim (IEEE Trans. Intell. Transp. Syst., 2020)

Uncertainty-Aware Fast Curb Detection Using Convolutional Networks in Point Clouds. - Younghwa Jung; Mingu Jeon; Chan Kim; Seung-Woo Seo; Seong-Woo Kim (ICRA, 2021)

Action-Conditioned Traffic Scene Prediction for Interactive Planning. - Chan Kim; JaeKyung Cho; Younghwa Jung; Seung-Woo Seo; Seong-Woo Kim (ICEIC, 2022)

Fast Point Clouds Upsampling with Uncertainty Quantification for Autonomous Vehicles. - Younghwa Jung; Seung-Woo Seo; Seong-Woo Kim (ICRA, 2022)

Design of V2X-Based Vehicular Contents Centric Networks for Autonomous Driving. - Sanghoon Lee; Younghwa Jung; Young-Hoon Park; Seong-Woo Kim (IEEE Trans. Intell. Transp. Syst., 2022)

LoRCoN-LO: Long-term Recurrent Convolutional Network-based LiDAR Odometry. - Donghwi Jung; JaeKyung Cho; Younghwa Jung; Soohyun Shin; Seong-Woo Kim (ICEIC, 2023)

Development and validation of a prediction model for evaluating extubation readiness in preterm infants. - WonGeun Song; Younghwa Jung; Jihoon Cho; Hyunyoung Baek; Changwon Choi; Sooyoung Yoo (Int. J. Medical Informatics, 2023)