cv
Let me introduce myself! You can download the pdf file at the right top side of the button.
Basics
| Name | Sunghyun Lee (μ΄μ±ν) |
| Label | Student |
| romanticbox@kaist.ac.kr, sunghyunlee.kaist@gmail.com | |
| Url | https://romanticbox.github.io/ |
| Nationality | π°π· South Korea, πΊπΈ United States (Dual Citizenship) |
| Summary | I am a Master's student at the Kim Jaechul Graduate School of AI, KAIST, advised by Professor Yong Man Ro. My research focuses on Multimodal AI and Computational Creativity. |
Work
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2024.02 - 2025.11
KAI SYSTEM
Machine Learning Engineer & Research Assistant Intern
Developed a Machine Learning pipeline for KFEMS (Korean Factory Energy Management System) handling sequential industrial data.
- Built and experimented with AI pipelines using industrial data
- Patent registered in the Republic of Korea for a real-time energy data management method
- Copyright registration pending
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2023.12 - 2024.02
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2021.02 - 2022.08
Republic of Korea Army
Mandatory Military Service
Completed mandatory military service in the Republic of Korea.
Volunteer
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- Present Tutor
Eagle Tutoring Program (λ μ리 νν°λ§)
Volunteered as a tutor for approximately 20 hours. [Exact dates/org name TBD]
Education
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2026.03 - 2028.02 Daejeon, Republic of Korea
Master
Korean Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
Artificial Intelligence
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2020.03 - 2025.08 Seoul, Republic of Korea
Bachelor
Yonsei University, Seoul, Republic of Korea
Computer Science & French Language and Literature (Double Major, Summa Cum Laude)
- French Linguistics (Pragmatics, Syntax, Semantics, Morphology)
- French Literature
- French Culture and Society
- Machine Learning
- Deep Learning
- Natural Language Processing
- Computer Vision
- Data Structures & Algorithms
Awards
- 2025.08.29
- 2024.12.09
Yonsei GenAI contest 2024, silver prize
Yonsei University
AI-Powered Desktop PC Recommendation System with Conversational Interface
- 2021.02.01
Yonsei University Dean's List
Yonsei University
Dean's List for the academic year 2020 fall semester
- 2023.02.01
Yonsei University Dean's List
Yonsei University
Dean's List for the academic year 2022 fall semester
Certificates
| Microsoft Certified: Azure AI Fundamentals | ||
| Microsoft | 2023-08-11 |
| Military Service Completion | ||
| Republic of Korea Army | 2022-08-15 |
Publications
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2025.11.08 Do Language Models Associate Sound with Meaning? A Multimodal Study of Sound Symbolism
Association for the Advancement of Artificial Intelligence
Jinhong Jeong*, Sunghyun Lee*, Jaeyoung Lee, Seonah Han, and Youngjae Yu
Accepted in AAAI 2026 as Oral Presentation as co-lead author
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2025.06.01 Speaking Beyond Language: A Large-Scale Multimodal Dataset for Learning Nonverbal Cues from Video-Grounded Dialogues
Association for Computational Linguistics
Youngmin Kim*β , Jiwan Chung*, Jisoo Kim, Sunghyun Lee, Sangkyu Lee, Junhyeok Kim, Cheoljong Yang, and Youngjae Yu
Accepted in ACL 2025 Main Conference as third author
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2025.05.24 MAVL: A Multilingual Audio-Video Lyrics Dataset for Animated Song Translation
Empirical Methods in Natural Language Processing
Woohyun Cho, Youngmin Kim, Sunghyun Lee, and Youngjae Yu
Accepted in EMNLP 2025 Main Conference as co-second author
Skills
| Computer Science | |
| Python | |
| PyTorch | |
| TensorFlow | |
| Scikit-learn | |
| Computer Vision | |
| Natural Language Processing | |
| Machine Learning | |
| Deep Learning | |
| Data Science | |
| Data Preprocessing and Construction |
| French | |
| French linguistics (Pragmatics, Semantics, Syntax, Morphology) | |
| French literature (Video art, Poetry, Novel) |
Languages
| Korean | |
| Native speaker |
| English | |
| Fluent (Full Professional Proficiency) |
| French | |
| Intermediate |
| Japanese | |
| Basic |
Interests
| Computational Linguistics | |
| Multilinguality | |
| Pragmatics | |
| Phonetics |
| Multimodal AI | |
| Human Motion | |
| Theory of Mind | |
| Multimodal Communication |
| Computational Creativity | |
| Creative thinking of AI | |
| AI-assisted Creativity Tools |
| AI for Human | |
| Human Communication | |
| Context-aware AI (World Models) | |
| Computational Social Science | |
| Affective Computing |
References
| Professor Yong Man Ro | |
| https://www.ivylab.kaist.ac.kr/ivylab-ivllab | |
| Advising my Master's studies at the Kim Jaechul Graduate School of AI, KAIST. |
| Professor Youngjae Yu | |
| https://pi.snu.ac.kr/ | |
| Supervised my undergraduate research internship at Seoul National University. |
Projects
- 2025.08 - 2025.11
Implementing RAG LLM Service for Korean Factory Energy Management System (KFEMS)
Developed a RAG LLM service for Korean Factory Energy Management System (KFEMS) to provide energy management insights and recommendations.
- Implemented the prototype of internal RAG LLM service for FEMS.