Scholar
Woongyeong Yeo
Google Scholar ID: Yy5kuSMAAAAJ
M.S. Student, KAIST
Artificial Intelligence
Multimodal Learning
Large Language Models
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Citations & Impact
All-time
Citations
195
H-index
3
i10-index
1
Publications
4
Co-authors
6
list available
Contact
Email
wgcyeo@kaist.ac.kr
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Publications
3 items
MA-EgoQA: Question Answering over Egocentric Videos from Multiple Embodied Agents
2026
Cited
0
WorldMM: Dynamic Multimodal Memory Agent for Long Video Reasoning
2025
Cited
0
UniversalRAG: Retrieval-Augmented Generation over Multiple Corpora with Diverse Modalities and Granularities
2025
Cited
0
Resume (English only)
Background
M.S. student at the Kim Jaechul Graduate School of AI, KAIST
Member of the MLAI Lab, advised by Prof. Sung Ju Hwang
Research focuses on multimodal large language models (MLLMs) with emphasis on real-world applications
Key research areas: Multimodal LLMs, LLM memory, Agentic AI
Currently working on memory agents that enable MLLMs to store, retrieve, and reason over ultra-long context sequences
Co-authors
6 total
Sung Ju Hwang
KAIST, DeepAuto
Kangsan Kim
Ph.D. student, KAIST
Soyeong Jeong
Ph.D. student at KAIST
Jinheon Baek
Ph.D. student, KAIST
Geon Park
KAIST
Youngwan Lee
Electronics and Telecommunications Research Institute; KAIST
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