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About Me
I am a Ph.D. student at KAIST EE, advised by Professor Junmo Kim. My research focuses on multimodal representation learning across vision, language, and audio, with an emphasis on building more efficient and effective models.
Beyond this, I also explore related topics such as multimodal captioning, end-to-end autonomous driving, fairness in AI, and automatic speech recognition, aiming to bridge fundamental research with real-world applications.
E-mail: jskpop (at) kaist (dot) ac (dot) kr
Education
Korea Advanced Institute of Science and Technology (KAIST)
Ph.D. in Electrical Engineering (Advisor: Junmo Kim)
Korea Advanced Institute of Science and Technology (KAIST)
B.S. in Electrical Engineering
Sep. 2020 - Present
Mar. 2016 - Aug. 2020
Publication
MLLMCLIP: Distilling Multimodal Language Models for Robust Vision–Language Understanding
Jongsuk Kim, Qiyu Wu, Zhuoyuan Mao, Hiromi Wakaki, Junmo Kim, and Yuki Mitsufuji
Preprint
Supervised Dimension Contrastive Learning
Jaemyung Yu, SungHyun Baek, Jongsuk Kim, Junmo Kim
Under Review
SynAD: Enhancing Real-World End-to-End Autonomous Driving Models through Synthetic Data Integration
Jongsuk Kim*, Jaeyoung Lee*, Gyojin Han, Dongjae Lee, Minki Jeong, and Junmo Kim
ICCV 2025
FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition
Jongsuk Kim, Jaemyung Yu, Minchan Kwon, Junmo Kim
Interspeech 2025 | [Paper]
UniCLIP: Unified Framework for Contrastive Language-Image Pre-training
Janghyeon Lee*, Jongsuk Kim*, Hyounguk Shon, Bumsoo Kim, Seung Hwan Kim, Honglak Lee, and Junmo Kim.
NeurIPS 2022 | [Paper]
Work Experience
Sony Group Corporation
AI Technology Div. Creative AI Lab
Research Intern (mentor: Qiyu Wu)
Mar 2025 - Jun 2025, Tokyo, Japan
LG AI Research
Vision Lab (mentor: Janghyeon Lee)
Research Intern
Nov 2021 - May 2022, Seoul, South Korea
NAVER
G-place AI Development Team (mentor: Yunsang Ju)
AI Engineering Intern
Aug 2021 - Nov 2021, Seongnam(remote), South Korea
KAKAO
AI Team - Multimedia Processing Part
Software Engineering Intern
Mar 2018 - Aug 2018, Jeju, South Korea
Honor & Award
Kim Young Han Global Leader Scholarship 2024
Prize: 4,000,000 KRW (≈ 3,000 USD)
CLOVA AI RUSH 2021
Prize: 25,000,000 KRW (≈ 22,000 USD)
1st place in Global menu name analysis task from G-Place AI Development Team
2nd place in Extracting document keywords for UGC content task from AiRS Team
Qualcomm Innovation Awards 2019
Prize: 5,000,000 KRW (≈ 4,000 USD)
Dean's List(2019 Spring)
Top 3% in College of Engineering at KAIST
Invited Talk
Audio-Video Representation Learning
Oct 2024: LG AI Research, Seoul, South Korea
Equivariant Contrastive Learning
Apr 2023: Samsung Research, Seoul, South Korea
Contrastive Language-Image Pre-training
Dec 2022: NAVER, Seongnam, South Korea
Nov 2022: Samsung Research, Seoul, South Korea
Academic Service
Conference Reviewer
AAAI Conference on Artificial Intelligence (AAAI), 2025
International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Conference on Computer Vision and Pattern Recognition (CVPR), 2024, 2025
International Conference on Computer Vision (ICCV), 2025
Workshop Organizer
Generative AI Research Exchange KAIST SIIT & SONY AI Japan
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