DirectVis: Editing Code-Based Interactive Visualization with Direct Manipulation
Jeongin Park, Mingyu An, Hyunseo Yang, Junhyeong Hwangbo, Min Hyeong Kim, Hyeon Jeon, Jinwook Seo
IEEE PacificVis 2026 · Short Paper
to appear
Hyunseo Yang
I'm a B.S. candidate in Computer Science & Engineering and Business Administration at Seoul National University.
My research interest lies in human-computer interaction and artificial intelligence — especially how large language models can support the way people create, decide, and learn.
I'm currently an undergraduate research intern at HCIL @SNU, advised by Prof. Jinwook Seo. Previously, I interned at DeepAuto.ai.
News
DirectVis accepted to IEEE PacificVis 2026!
Jan 2026
Our short paper on editing code-based visualizations with direct manipulation.
Started a research internship at HCIL @ SNU
Dec 2025
Advised by Prof. Jinwook Seo at the Human-Computer Interaction Lab.
First place at the Deep Learning Hardware Design Contest
2025
POLARIS Next-Generation Semiconductor Convergence Innovation University Program.
Publications
2026
Experience
Human-Computer Interaction Lab, Seoul National University
Undergraduate Research Intern · Seoul, Korea
Dec 2025 – Present
- Co-authored DirectVis, accepted as a short paper at IEEE PacificVis 2026.
- Co-authoring a task-based empirical evaluation of map projections for geospatial data visualizations, for submission to VIS 2026.
- Leading the development of an interactive diffusion-based image editing system that supports user intervention during denoising.
DeepAuto.ai
Software Engineering Intern · Seoul, Korea
Jan 2025 – Feb 2025
- Led the development of the DeepTutor.ai demo platform showcasing long-context reasoning technology for clients and investors.
- Built the end-to-end front-end and performed prompt engineering to improve system robustness and interaction reliability.
Projects
Creating Robot Artificial Intelligence Project (CRAIP)
Project Member
Sep 2025 – Dec 2025
- Multi-module ROS2-based autonomous navigation for a quadruped robot (Unitree Go1) in a Gazebo simulation environment.
- Developed and integrated localization, perception, and path-tracking modules.
- Built a YOLO-based perception pipeline for object classification and behavior triggering.
- Integrated an LLM-based command interface for natural-language robot control.
Honors & Awards
First Place, Deep Learning Hardware Design Contest
POLARIS Next-Generation Semiconductor Convergence Innovation University Program
scholarships
National Scholarship
Ministry of Education
Yudang Scholarship
Yudang Scholarship Foundation