Younjoon Chung
Ph.D. Student @ Yale University
younjoon.chung [AT] yale.edu
About
I am a Ph.D. student in Computational Biology and Biomedical Informatics (CBB) at Yale University, advised by Prof. Qingyu Chen and Prof. Lucila Ohno-Machado. My research interests lie in the intersection of machine learning, computer vision and healthcare. Specifically, I focus on developing robust domain adaptation techniques to ensure medical AI models can generalize across diverse clinical environments, including variations in patient populations, imaging hardware, etc.
I obtained my M.S. in Computer Vision (MSCV) from the Robotics Institute at Carnegie Mellon University, advised by Prof. Fernando De la Torre. Before CMU, I was a research engineer at VUNO Inc., where I developed algorithms for mobile digital radiography devices and computer-aided detection (CADe) systems. I also worked on various medical imaging projects with Prof. Yoon-Chul Kim at Samsung Medical Center.
In my free time, I enjoy making contributions to open-source projects. I led the official Korean translation of the Keras documentation project, and have over 25+ commits merged in the Keras ecosystem. I am also passionate about playing tennis and watching baseball. Let's go Red Sox!
News
Education
Yale UniversitySep. 2025 - Present
Ph.D. in CBB - Advisors: Qingyu Chen and Lucila Ohno-Machado
Yale UniversityAug. 2024 - Aug. 2025
Ph.D. in Computer Science - Advisor: Alex Wong
Carnegie Mellon University Aug. 2022 - Dec. 2023
M.S. in Computer Vision - Advisor: Fernando De la Torre
Sogang UniversityMar. 2014 - Feb. 2018
B.S. in Computer Science and Engineering (Magna Cum Laude)
Publications
2025
ETA: Energy-based Test-time Adaptation for Depth Completion
Younjoon Chung*, Hyoungseob Park*, Patrick Rim*, Xiaoran Zhang, Jihe He, Ziyao Zeng, Safa Cicek, Byung-Woo Hong, James S. Duncan, Alex Wong
ICCV 2025
ProtoDepth: Unsupervised Continual DepthCompletion with Prototypes
Patrick Rim, Hyoungseob Park, S. Gangopadhyay, Ziyao Zeng, Younjoon Chung, Alex Wong
CVPR 2025
2024
Domain Gap Embeddings for Generative Dataset Augmentation
Yinong Oliver Wang*, Younjoon Chung*, Chen Henry Wu, Fernando De la Torre
CVPR 2024
2022
Utilizing synthetic nodules for improving nodule detection in chest radiographs
Minki Chung, Seo Taek Kong, Beomhee Park, Younjoon Chung, Kyu-Hwan Jung, Joon Beom Seo
Journal of Digital Imaging
( * indicates equal contribution )
2025
ETA: Energy-based Test-time Adaptation for Depth Completion
Younjoon Chung*, Hyoungseob Park*, Patrick Rim*, Xiaoran Zhang, Jihe He, Ziyao Zeng, Safa Cicek, Byung-Woo Hong, James S. Duncan, Alex Wong
ICCV 2025
ProtoDepth: Unsupervised Continual DepthCompletion with Prototypes
Patrick Rim, Hyoungseob Park, S. Gangopadhyay, Ziyao Zeng, Younjoon Chung, Alex Wong
CVPR 2025
2024
Domain Gap Embeddings for Generative Dataset Augmentation
Yinong Oliver Wang*, Younjoon Chung*, Chen Henry Wu, Fernando De la Torre
CVPR 2024
Deep learning for classification of late gadolinium enhancement lesions based on the 16-segment left ventricular model
Yoon-Chul Kim, Younjoon Chung, Yeon Hyeon Choe
Physica Medica
2022
Utilizing synthetic nodules for improving nodule detection in chest radiographs
Minki Chung, Seo Taek Kong, Beomhee Park, Younjoon Chung, Kyu-Hwan Jung, Joon Beom Seo
Journal of Digital Imaging
2019
EVCMR: a tool for the quantitative evaluation and visualization of cardiac MRI data
Yoon-Chul Kim, Khu Rai Kim, Kwanghee Choi, Minwoo Kim, Younjoon Chung, Yeon Hyeon Choe
Computers in Biology and Medicine
2017
Automatic localization of anatomical landmarks in cardiac MR perfusion using random forests
Yoon-Chul Kim, Younjoon Chung, Yeon Hyeon Choe
Biomedical Signal Processing and Control
Vitæ
Full Resume in PDF.
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Yale University Sep. 2025 - PresentPh.D. in CBB
Advised by Prof. Qingyu Chen and Prof. Lucila Ohno-Machado -
Yale University Aug. 2024 - Aug. 2025Ph.D. in Computer Science
Advised by Prof. Alex Wong -
Carnegie Mellon University Jan. 2024 - June. 2024Research Associate
Human Sensing Lab -
Carnegie Mellon University Aug. 2022 - Dec. 2023M.S. in Computer Vision
Advised by Prof. Fernando De la Torre
