Jiayi Yuan

About me

I’m Jiayi Yuan ([dʒa-ˈi:], 袁加熠), a Ph.D. student from the Department of Computer Science at Rice University, advised by Dr. Xia “Ben” Hu. My research interests include efficient and trustworthy machine learning, and its applications in natural language processing, computer vision, and health informatics. Recently, I’m focusing on the efficiency and safety problems of large language models (LLMs).

Previously, I received my bachelor’s degree in computer science from Tsinghua University, where I also studied statistics as a minor.

I lived in Beijing for 22 years and in Houston for $YEAR-2022 year(s).

Education

• Ph.D. in Computer Science, 2022 - now. Rice University, TX, USA

• B.Eng. in Computer Science and Technology, 2017 - 2021. Tsinghua University, Beijing, China

News

• Two papers accepted by EMNLP 2024. See you in Miami!

• Checkout our recent benchmarking works on KV Cache compression, time series foundation models and LLM evaluation!

• Two papers accepted by ICML 2024. See you in Vienna!

• Our KIVI largely inspires the KV Cache quantization system in Huggingface. Code is available here

• Our LLM-PTM paper is selected as a best student paper at AMIA 2023

• Rice CS’ Xia Ben Hu investigates LLMs and likely applications

• One paper accepted by NeurIPS 2023

• Joined Microsoft Accelerating Foundation Models Research program

• Two papers accepted by AMIA 2023

• …

Publications

Please refer to publications or Google Scholar.