Jong Su Youn

Research Interest

• Multi-modal Contrastive Learning in Expert Domain

• Audio-visual Multi-modal

• Continual Learning

• Video Retrieval

Education

• Graduate School of Advanced Imaging Science, Multimedia & Film, Chung-Ang University, Seoul, Korea

  • Ph.D., Department of Advanced Imaging, Sep. 2023 - Now

  • Adviser: Prof. Jongwon Choi

• School of Computer Science, University of Birmingham, UK

  • Visiting Researcher(prof. Hyung Jin Chang), Oct. 2024 - Dec. 2024

• Chung-Ang University, Seoul, Korea

  • M.S., Department of Artificial Intelligence, Sep. 2021 - Aug. 2023

  • Adviser: Prof. Jongwon Choi

• Chung-Ang University, Seoul, Korea

  • Undergraduate research student, CAU-VILab, Mar. 2020 - Aug. 2021

  • B.S., Department of Integrative Engineering, Mar. 2014 - Aug. 2021

Projects

• (IITP) 다목적 비디오 검색을 위한 차세대 인공신경망 기술 개발

• (NDA) Continual defect detection

• (NDA) Style transfer for defect detection

• (식약처) Sensory evaluation (On going)

Patent (registrated)

• 2026.06(등록확정), EU, APPARATUS AND METHOD FOR VIDEO REPRESENTATION LEARNING 

• 2025.01, US 12,142,028 B2, OBJECT RECOGNITIONAPPARATUSAND METHOD BASEDONENVIRONMENT MATCHING

• 2024.07, US 18/396,142, APPARATUS AND METHOD FOR VIDEO REPRESENTATION LEARNING

• 2024.05,  JP 2023-220975, APPARATUS AND METHOD FOR VIDEO REPRESENTATION LEARNING

• 2024.01, KOR 10-2624074, 비디오 표현 학습 장치 및 방법

• 2023.10, KOR 10-2590388, 영상 컨텐츠 추천 장치 및 방법

Papers

• International

  • Jongsu Youn, Dae Ung Jo, Seungmo Seo, Sukhyun Kim, Jongwon Choi, "Generating Visual-Adaptive Audio Representation for Audio Recognition" (Pattern Recognition Letters, 2025)

  • Seungmo Seo, Jongsu Youn, Seungjin Jung, Minji Kwak, Heegon Jin, Hojoon Jung, Jongwon Choi, "Online Adaptive Slimmable Network for Source-free Unsupervised Domain Adaptation" (IEEE Access, 2026.02)

• Domestic

  • Jongsu Youn, Chaeyoon Baek, Jaehyeong Bae, Junyeup Hwang, Jongwon Choi, AI system to support the sensory evaluation system for imported seafood products, Autumn Annual Conference of IEIE, 2025

  • ChulMin Yun, ChangHo An, YoonYoung Jung, Hyeokmoon Yu, Jongsu Youn, Joonki Paik, Federated Reinforcement Learning-Based Adaptive Routing for Military Tactical Networks, KIIT Autumn Conference, 2025

  • ChangHo An, Jongsu Youn, Jongwon Choi, Joonki Paik, Analysis of Detection Model Output Distribution Changes upon Anomalous Object Appearance in the Defence Maritime Surveillance Environment, Summer Annual Conference of IEIE, 2025

  • ChulMin Yun, Jongsu Youn, Jongwon Choi, Joonki Paik, Recent Trends in AI-Based Network Routing Optimization for Military Tactical Communication Systems, Summer Annual Conference of IEIE, 2025

  • YoonYoung Jung, Jongsu Youn, Jongwon Choi, Joonki Paik, Real-World Applicability Analysis of Deep Learning Models for Nerve Agent Detection: A Raman Spectroscopy-Based Approach, Summer Annual Conference of IEIE, 2025

  • Jongsu Youn, Taehoon Kim, Hongseop Kim, Geunyoung Lee, Seungjin Jung, Jongwon Choi, Augmented Oriented Box Replay for Continual Remote Sensing Object Detection, Autumn Annual Conference of IEIE, 2024

  • Jongsu Youn, Yujeong Oh, Suyeon Cha, Jongwon Choi, Image/Audio-based similarity selecting network for video retrieval, KISC Winter Conference, 2023

  • Jongsu Youn, Soohyun Park, Jongwook Choi, Jongwon Choi, Deep Learning-based Video Retrieval with Audio-video Switching Network, Summer Annual Conference of IEIE, 2022 (Paper Award)