I’m a fourth-year B.S. student at Sungkyunkwan University, advised by Prof. Sungeun Hong in the AI and Media Lab, where I am also enrolled in the B.S.–M.S. integrated program. My research interests lie in Efficient Model Learning, Model Merging, and Multimodal Learning.

I’m especially excited about building large multimodal models that are efficient to train and adapt, and about understanding how independently trained models can be combined into a single, more capable one. More broadly, my goal is to develop methods that make powerful AI models more practical and accessible under limited compute. Feel free to reach out if you’d like to chat about research or potential collaboration.

πŸ”₯ News

πŸ“ Publications

*Denotes equal contribution

KDDW 2026
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Where to Adapt for MLLM Merging? A Module-Level Analysis

Hyunjae Ra*, Aecheon Jung, Sungeun Hong

KDD Workshop on Responsible Multimodal Foundation Models for Knowledge Discovery (KDDW 2026) (2026. 8)

KIBME 2026
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Analysis of Model Integration Performance according to Training Scope in Multimodal Large Language Models

Hyunjae Ra*, Aecheon Jung, Sungeun Hong

The Korean Institute of Broadcast and Media Engineers(KIBME) Summer Conference (2026. 6)

IPIU 2026
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Clustering-Based Task Vector Quantization for Ultra-Low-Bit Model Merging

Hyunjae Ra*, Aecheon Jung, Seunghwan Lee, Sungeun Hong

Workshop on Image Processing and Image Understanding (IPIU) 2026 (2026. 2)
πŸ”₯ Outstanding Poster Presentation Award

JBE 2025
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Comparison of VGGT and SfM in Generating Initial Points for 3D Gaussian Splatting

Reagan Koo*, Jun-Hyeong Park, Hyunjae Ra, Eun-Seok Ryu

Journal of Broadcasting Engineering (JBE), Letters (2025. 8)

KIBME 2025
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Point Cloud Augmentation via 3D Gaussian Splatting and Mesh Reconstruction using NKSR

Hyunjae Ra*, Jun-Hyeong Park, Minsu Park, Eun-Seok Ryu

The Korean Institute of Broadcast and Media Engineers(KIBME) Summer Conference (2025. 6)

KIBME 2025
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LoD Mesh Generation Based on Object Density Using 3D Gaussian Splatting

Minsu Park*, Jun-Hyeong Park, Hyunjae Ra, Yeong-Gyu Kim, Eun-Seok Ryu

The Korean Institute of Broadcast and Media Engineers(KIBME) Summer Conference (2025. 6)

πŸ’‘ Project

MOTIE Β· KEIT
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Multimodal Framework for Depression Diagnosis

Development and Commercialization of a Multimodal AI Digital Therapeutic for Depression and Anxiety
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Funded by Ministry of Trade, Industry and Energy (MOTIE) / Korea Planning & Evaluation Institute of Industrial Technology (KEIT) (2025.04 ~ 2026.12)

πŸŽ– Honors and Awards

  • 2026.06 Graduate School Scholarship Type 1 (Full-tuition Scholarship) - Sungkyunkwan University
  • 2026.02 Best Poster Presentation Award - IPIU 2026
  • 2026.01 Encouragement Award - Seoul AI Living Lab Project
  • 2025.10 Grand Prize (1rd place) - 2025 SKKU AI Hackathon
  • 2024.12 Silver Prize (3rd place) - 2024 SKKU Capstone Design Competition & ComEdunion
  • 2024.10 Silver Prize (3rd place) - 2024 SKKU AI Hackathon

πŸ“– Educations

  • 2023.03 - present Sungkyunkwan University, B.S. Student, Department of Computer Education

πŸ’» Internships

πŸ‘¨β€πŸ« Teaching Experience

  • 2026.05–2026.06 Teaching Practicum Student - Computer Education, Hagye Middle School