Le Zhuo
Scholar

Le Zhuo

Google Scholar ID: NxNC8qgAAAAJ
Krea AI
generative modelsmulti-modal learning
Citations & Impact
All-time
Citations
714
 
H-index
14
 
i10-index
15
 
Publications
20
 
Co-authors
7
list available
Resume (English only)
Academic Achievements
  • Papers: Three papers accepted to ICCV 2025; one paper on building efficient video LLM accepted to CVPR 2025 as an oral presentation; three papers accepted to ICLR 2025, including one spotlight paper for Lumina-T2X; paper 'Lumina-Next' for improving text-to-image generation accepted to NeurIPS 2024; paper 'ProtLLM' about protein understanding using LLMs accepted to ACL 2024. Awards: 2023 SenseTime Scholarship.
Research Experience
  • Currently a researcher at Krea AI. Previously worked at Shanghai AI Lab, supervised by Dr. Peng Gao and Prof. Hongsheng Li. Additionally, participated in multiple research projects during undergraduate studies.
Education
  • Received B.E. degree in 2024. During undergraduate years, was supervised by Prof. Si Liu and had the opportunity to work with Prof. Shuicheng Yan and Dr. Jie Fu at Beijing Academy of Artificial Intelligence. Also, a research intern at Mila - Québec AI Institute, supervised by Prof. Jian Tang.
Background
  • Currently working as a researcher at Krea AI. Research interests include generative modeling (e.g., diffusion models, flow matching) and their potential applications; multimodal learning (developing models that seamlessly integrate and bridge the gap between various modalities, such as text, image, and video). Previously worked at Shanghai AI Lab, supervised by Dr. Peng Gao and Prof. Hongsheng Li.