Scholar
Manli Shu
Google Scholar ID: WPYkxjgAAAAJ
Google DeepMind
Citations & Impact
Citations
1,687
H-index
16
i10-index
20
Publications
20
Co-authors
11
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers, including 'xGen-MM (BLIP-3): A Family of Open Large Multimodal Models,' and presented or showcased work at various international conferences such as ICRA'24, NeurIPS, etc.
Research Experience
- Interned at Nvidia, Salesforce, and Google during her years at UMD; joined Salesforce Research in 2024; became a research scientist at Google Deepmind in 2025.
Education
- Graduated from the University of Science and Technology of China (USTC) in 2019; obtained a Ph.D. in Computer Science from the University of Maryland, College Park (UMD) in 2024, advised by Tom Goldstein.
Background
- A research scientist at Google Deepmind, focusing on Gemini multimodal understanding. Her research interests include the safety and trustworthiness of AI/ML in both vision and language modalities.
Miscellany
- Always excited to explore new ideas and collaboration opportunities, feel free to reach out.
