Scholar
Runxue Bao
Google Scholar ID: jlcUOeoAAAAJ
AI Scientist, GE Healthcare
Citations & Impact
Citations
403
H-index
13
i10-index
14
Publications
20
Co-authors
16
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published multiple papers covering LLM-as-a-Judge, Parameter-Efficient Fine-Tuning (PEFT), Retrieval-Augmented Generation (RAG), In-Context Learning (ICL), Transfer Learning in Healthcare, Model Compression and Optimization, etc. Some papers were accepted by NeurIPS 2025, EMNLP 2025, NAACL 2024 & 2025, ICHI 2023 & 2024, ISBI 2024, SDM 2025, AMIA 2025, etc.
Research Experience
- Worked on developing and improving recommender systems at Google.
Education
- Ph.D. in Computer Engineering from the University of Pittsburgh; Honours B.S. in Electrical Engineering from the University of Science and Technology of China.
Background
- Currently a Machine Learning Software Engineer at Google, focusing on building recommender systems to improve ads relevance and quality. Research interests include Recommender Systems, Ads Retrieval, Ads Ranking, Information Retrieval, Graph Neural Network, etc.
Miscellany
- Open to collaboration opportunities, feel free to connect.
