Ji Hou
Scholar

Ji Hou

Google Scholar ID: 63TZXq4AAAAJ
Research Scientist, Meta Superintelligence Labs
Generative AI3D Computer Vision
Citations & Impact
All-time
Citations
2,471
 
H-index
16
 
i10-index
20
 
Publications
20
 
Co-authors
46
list available
Resume (English only)
Academic Achievements
  • Co-authored multiple high-impact papers published at NeurIPS 2025 (Spotlight), CVPR 2025, etc.
  • Contributed to MetaQueries, a minimal recipe for unified multimodal understanding and generation models.
  • Contributed to MoCha, enabling multi-character conversational video synthesis with turn-based dialogue for the first time.
  • Worked on Token-Shuffle, pushing autoregressive text-to-image generation to 2048x2048 resolution.
  • Developed LinGen, a linear-complexity framework for high-resolution, minute-length text-to-video generation on a single GPU.
  • Contributed to Movie Weaver, supporting tuning-free multi-concept video personalization.
  • Core contributor to Movie Gen, a suite of Meta media foundation models generating 1080p HD videos with synchronized audio.