Xiang Li
Scholar

Xiang Li

Google Scholar ID: hGPBdf4AAAAJ
Google DeepMind
Robust ModelsMultimodal GenerationMultimodal Understanding
Citations & Impact
All-time
Citations
795
 
H-index
17
 
i10-index
23
 
Publications
20
 
Co-authors
8
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Published multiple papers in top international conferences such as EMNLP 2025, ICML 2025, CVPR 2025, ICLR 2025, NeurIPS 2024, ECCV 2024, InterSpeech 2024, NAACL 2024, CVPR 2024, ICASSP 2024, EMNLP 2023, NeurIPS 2023, ICCV 2023, and ACM MM 2023.
Research Experience
  • Worked as a research scientist at Google DeepMind, focusing on the Veo project.
Education
  • PhD from Carnegie Mellon University, advised by Prof. Bhiksha Raj.
Background
  • A Member of Technical Stuff at xAI. Previously a research scientist at Google DeepMind working on the Veo project (Veo2, Veo3, Veo4). Research interest lies in representation learning for media generation and understanding.