Yongye Suย
Pronunciation: Yeong-Yeh Suhย
Mountain View, CA, USA
๐ Google Scholar
๐ My ACM Page
I'm a research_engineer = lambda self: {"Research": 0.50, "Engineer": 0.50} @ Google DeepMindย
I work on Recursive Self-Improvement (RSI) of Gemini, by Gemini, and for Gemini.
I used to work on databases, information retrieval, and related tasks.
I've joined Google DeepMind as a Research Engineer.
I have successfully defended my Ph.D. thesis. Thanks to my advisor and my Ph.D. committee.
Omni-structured data management for LLMs, indexing, retrieval, and reasoning, invited talk at Snowflake.
The first serverless vector search, oral presentation at SIGMOD 2024, Santiago, Chile ๐จ๐ฑ.
"Serverless Vector Database on Cloud Functions", invited talk at FedML.
"Cloud Techniques & Challenges", interview by Google & SegmentFault. (Video available@Google CN)