Kaiyang Ji
Scholar

Kaiyang Ji

Google Scholar ID: PyTLiM8AAAAJ
MS student of Computer Science, Shanghaitech University
Computer VisionGenerative ModelsEmbodied AI
Citations & Impact
All-time
Citations
20
 
H-index
2
 
i10-index
1
 
Publications
8
 
Co-authors
6
list available
Resume (English only)
Academic Achievements
  • Paper 'One Policy but Many Worlds: A Scalable Unified Policy for Versatile Humanoid Locomotion' accepted to arXiv; paper 'Towards Immersive Human-X Interaction: A Real-Time Framework for Physically Plausible Motion Synthesis' accepted to ICCV 2025 as a Highlight; organizing ICCV 2025 Workshop Challenge 'Human-Robot-Scene Interaction and Collaboration'.
Research Experience
  • Joined the Visual & Data Intelligence Center (VDI) at ShanghaiTech University as a CS Master student in 2024 Fall.
Education
  • Master's student in Computer Science at ShanghaiTech University, advised by Prof. Jingya Wang and Prof. Ye Shi; previously graduated from ShanghaiTech University with a major in Computer Science, advised by Prof. Jingya Wang and Prof. Jingyi Yu.
Background
  • Research interests include computer vision, machine learning, and robotics. Current research focuses on Human-Centered 3D Vision, Generative Models, and Embodied AI.
Miscellany
  • Looking for collaborators and friends interested in these fantastic topics.