Saelyne Yang
Scholar

Saelyne Yang

Google Scholar ID: P5i1H2EAAAAJ
KAIST
Human-Computer InteractionVideo UnderstandingVideo InteractionTask Learning
Citations & Impact
All-time
Citations
234
 
H-index
7
 
i10-index
7
 
Publications
14
 
Co-authors
11
list available
Resume (English only)
Academic Achievements
  • Published multiple papers in international conferences such as IUI 2025, UIST 2024, CVPR 2024, and CHI 2024; received Special Recognition for Outstanding Reviews at CHI 2025.
Research Experience
  • Interned at Adobe and Autodesk; served as a program committee member for conferences such as AAAI 2026 and IUI 2025; involved in multiple research projects like VideoMix and Enhancing How People Learn Procedural Tasks Through How-to Videos.
Education
  • Ph.D. student at the School of Computing, KAIST, advised by Juho Kim and part of KIXLAB.
Background
  • Ph.D. student at the School of Computing, KAIST, currently in Pittsburgh, USA. Research interests include Human-AI Interaction, Video Interaction, Multimodal Understanding, Procedural Task Learning, Skill Learning, and Knowledge Capture and Sharing.
Miscellany
  • Personal interests not mentioned