SangYeop Jeong
Undergraduate Researcher @ MuLILAB

I am an undergraduate student in the Department of Applied Artificial Intelligence at Seoul National University of Science and Technology and an undergraduate researcher at MuLILAB (Multimodal Learning & Intelligence).

My research interests include 3D/4D scene generation and reconstruction, Human-Computer Interaction (HCI), Extended Reality (XR), Gaussian Splatting, and Neural Radiance Fields (NeRF).


Background
Seoul National University of Science and Technology
Department of Applied Artificial Intelligence
B.S. Student
Republic of Korea Army
53rd Infantry Division
Honors & Awards
Grand Prize (1st Place)
Motion-Chat: Bringing Human Motion into Conversational AI
2026 Capstone Design Demo Day, Department of Applied Artificial Intelligence
Research Experience
MuLILAB
Multimodal Learning & Intelligence
Undergraduate Researcher
  • Research on 3D/4D scene generation and reconstruction, with a focus on Gaussian Splatting and neural scene representations.
  • Explore immersive visual content generation for VR, AR, and MR applications.
  • Study recent computer vision and generative modeling approaches for novel-view synthesis and dynamic scene representation.
Technical Skills
Languages
Python · C · C++ · C#
Deep Learning
PyTorch · CUDA
Graphics / XR
Unity · Unreal Engine
Research
3D/4D Vision · HCI · XR · Gaussian Splatting · NeRF
Selected Publications (*Co-First, †Corresponding)
Reading the Mood Behind Words: Integrating Prosody-Derived Emotional Context into Socially Responsive VR Agents
Reading the Mood Behind Words: Integrating Prosody-Derived Emotional Context into Socially Responsive VR Agents

SangYeop Jeong * , Yeongseo Na * , Seung Gyu Jeong , Jin-Woo Jeong , Seong-Eun Kim †

ACM CHI 2026 Extended Abstracts (CHI EA '26) 2026

An emotion-context-aware VR conversational agent integrates prosody-derived emotion into LLM dialogue context, improving socially responsive interaction compared with a text-only baseline.