About me.
I'm a second-year CS Ph.D. student at Purdue University, West Lafayette.Β
I'm broadly interested in vector databases, and cloud-native databases. Meanwhile, I'm particularly passionate about the confluence of DBMS and AI/ML, with a particular emphasis on the intersection of vector databases and large language models (LLMs), such as retrieval-augmented generation (RAG).Β
Before my Ph.D. journey, I was a CS undergraduate student at the School of Computer Science and Engineering at Sun Yat-sen University from 2018 to 2022. I worked as a research intern at the System Research Group in Microsoft Research Asia and SAP Labs China.
Please don't hesitate to contact me if you are interested in a discussion or collaboration.Β
To know more about me, please have a brief glimpse of my Miscs and my Adventures.
News:
Grateful to receive the NSF ICDE Travel Award!
I will present my work to some DB/ML/AI/LLM companies π€, feel free to reach out if you are also interested.
[Paper accepted at SIGMOD 2024] Our work "Vexless: A Serverless Vector Data Management System Using Cloud Functions" is accepted at SIGMOD 2024, can't wait to see you all in Santiago, Chile! π¨π± Many thanks to my collaborators!
Participated as an AE committee at EuroSys 24' π¬π· (Autumn Round)!
[Google Cloud Next 24'] Grateful to receive Datawhale & Google's generous support to attend Google Cloud Next '24 (Apr 9-11), looking forward to seeing how databases can better serve Generative AI, see you in Vegas π°!
Participated as an AE committee at EuroSys 24' π¬π· (Spring Round)!
My first 1st author paper was accepted! Many thanks to my collaborators!
Talks & Interviews:
"Serverless Vector Database on Cloud Functions", invited talk at FedML.
"Cloud Techniques & Challenges", interview by Google Cloud & SegmentFault. (Video available@Google CN)