Xia Su
Scholar

Xia Su

Google Scholar ID: T6A8iH0AAAAJ
University of Washington
HCICreativityAccessibility
Citations & Impact
All-time
Citations
133
 
H-index
6
 
i10-index
5
 
Publications
14
 
Co-authors
6
list available
Resume (English only)
Academic Achievements
  • - Flymethrough: Human-AI collaborative 3D indoor mapping with commodity drones, UIST'25
  • - Accessibility Scout: Personalized Accessibility Scans of Built Environments, UIST'25
  • - RAIS: Towards A Robotic Mapping and Assessment Tool for Indoor Accessibility Using Commodity Hardware, ASSETS'24 Poster
  • - SonifyAR: Context-Aware Sound Generation in Augmented Reality, UIST'24
  • - RASSAR: Room Accessibility and Safety Scanning in Augmented Reality, CHI'24
  • - Kinergy: Creating 3D Printable Motion using Embedded Kinetic Energy, UIST'22
  • - Interior Layout Generation Based on Scene Graph and Graph Generation Model, Design Computing and Cognition’20
  • - Category, process, and recommendation of design in an interactive evolutionary computation interior design experiment: a data-driven study, AI EDAM 34, 2
Research Experience
  • - Apple AIML, Seattle, Machine Learning Intern, Apr 2025 - Sep 2025
  • - Adobe Research, San Francisco, Research Scientist Intern, Jun 2024 - Sep 2024
  • - Adobe Research, San Jose, Research Scientist Intern, Jun 2023 - Sep 2023
  • - Microsoft Research Asia, Beijing, Research Intern, Jun 2020 - Mar 2021
Education
  • - University of Washington, PhD in Computer Science & Engineering, 2021-2026 (est)
  • - University of Washington, Master of Computer Science & Engineering, 2021-2024
  • - Tsinghua University, Master of Engineering, 2018-2021
  • - Tsinghua University, Bachelor of Architecture, 2014-2018
Background
  • - Research Interests: Human-AI Interaction, especially how AI systems can understand and support human interaction with real-world spaces
  • - Professional Field: Indoor mapping, navigation, and assessment tools; Creativity support tools
  • - Brief Introduction: PhD student in Computer Science & Engineering at UW, advised by Prof. Jon Froehlich, focusing on spatial reasoning and world understanding, as well as MLLM-based creativity support tools.