Scholar
Haozhe Liu
Google Scholar ID: QX51P54AAAAJ
KAUST
Computer Vision
Reinforcement Learning
Multimodal
Image/Video Generation
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Homepage
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Google Scholar
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Citations & Impact
All-time
Citations
949
H-index
18
i10-index
21
Publications
20
Co-authors
29
list available
Contact
Email
haozhe.liu@kaust.edu.sa
CV
Open ↗
GitHub
Open ↗
Publications
11 items
Neural Computers
2026
Cited
0
VideoAuto-R1: Video Auto Reasoning via Thinking Once, Answering Twice
arXiv.org · 2026
Cited
0
Scaling Zero-Shot Reference-to-Video Generation
2025
Cited
0
TUNA: Taming Unified Visual Representations for Native Unified Multimodal Models
2025
Cited
0
Mixture of States: Routing Token-Level Dynamics for Multimodal Generation
2025
Cited
0
Scaling Sequence-to-Sequence Generative Neural Rendering
2025
Cited
0
SANA-Video: Efficient Video Generation with Block Linear Diffusion Transformer
2025
Cited
0
Addressing Missing Data Issue for Diffusion-based Recommendation
2025
Cited
0
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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
Co-authors
29 total
Co-author 1
Yefeng Zheng
Professor, Westlake University, Hangzhou, China, IEEE Fellow, AIMBE Fellow
Co-author 3
Jinheng Xie
National University of Singapore
Linlin Shen
Shenzhen University
Bernard Ghanem
Professor, King Abdullah University of Science and Technology
Mike Z. SHOU
National U. of Singapore; Facebook AI; Columbia University
Haoqian Wu
Tencent Youtu Lab, Shenzhen University
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