Lei Shu (舒蕾)
Scholar

Lei Shu (舒蕾)

Google Scholar ID: Q0zkC-kAAAAJ
Google Deepmind
Multi-Modality ModelLarge Language ModelLifelong LearningConversational AI
Citations & Impact
All-time
Citations
4,265
 
H-index
26
 
i10-index
34
 
Publications
20
 
Co-authors
14
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Winner of the Yelp dataset challenge; published papers include 'RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting' (AAAI 2024), 'Fusion-Eval: Integrating Assistant Evaluators with LLMs' (EMNLP 2024 Industry), etc.
Research Experience
  • Worked at Amazon AWS AI and Amazon Alexa AI; served as a research intern at Uber AI Lab, advised by Dr. Piero Molino and Dr. Gokhan Tur.
Education
  • Ph.D. in Computer Science from the University of Illinois at Chicago in 2020, supervised by Prof. Bing Liu.
Background
  • Research Interests: Agentic AI, large multimodal and language models, reinforcement learning. Position: Research Scientist at Google Deepmind, core contributor to Project Astra and Gemini.
Miscellany
  • Actively serves as an Area Chair for ACL ARR and as a reviewer for conferences including NeurIPS, ICML, ICLR, and more.