Haozhe Liu
Scholar

Haozhe Liu

Google Scholar ID: QX51P54AAAAJ
KAUST
Computer VisionReinforcement LearningMultimodalImage/Video Generation
Citations & Impact
All-time
Citations
949
 
H-index
18
 
i10-index
21
 
Publications
20
 
Co-authors
29
list available
Resume (English only)
Academic Achievements
  • - Published over 10 papers in top-tier venues, with more than 700 citations on Google Scholar
  • - Notable projects: BoxDiff, NLSOM, TGATE, MarDini
  • - Co-developed the pretraining of a 7B commercial text-to-image model at Meta, scaling to O(1B) training samples
  • - Papers accepted by TMLR, CVPR, ICCV, ECCV, MICCAI, AAAI
  • - NLSOM recognized as the best paper at NeurIPS 2023 workshop
Research Experience
  • - Research Scientist Intern at Meta AI (London), focusing on efficient video generation (Summer 2024)
  • - Intern at Tencent (Shenzhen), focusing on GAN-based image synthesis and medical imaging
  • - Research Scientist Intern at Meta (MPK), focusing on GenAI-related topics (Summer 2025)
Education
  • - Degree: Ph.D. Candidate
  • - University: KAUST
  • - Advisor: Prof. Juergen Schmidhuber
  • - Time: August 2022 - Present
  • - Field: Not specified
Background
  • - Research Interests: Multimodal generative models, particularly video and image generation
  • - Long-term goal: Developing a Physical AI Model (world model)
  • - Brief: Currently pursuing a Ph.D. at KAUST, supervised by Prof. Juergen Schmidhuber. Previously interned at Meta AI and Tencent.
Miscellany
  • - Open to future collaborations, whether it's co-founding a venture or pursuing full-time opportunities in industry or academia
  • - Personal interests not specified