Learning Agent Execution for KV-Cache Management in Agentic Serving
PreprintarXiv:2608.14624
I’m a Computer Science Ph.D. student at UC Santa Cruz, advised by Liting Hu. I’m also a core research engineer at Tensormesh and a core committer on LMCache and a maintainer of the vLLM production stack.
My research is about building the next-generation agent infrastructure where agent execution semantics and state are first-class systems abstractions. By exposing and learning these semantics, systems can make better decisions about resource scheduling, state management, computational reuse, and eventually large-scale agent learning.
I’ve worked on:
Previously, I was a software engineer at Huawei and a research intern at Bosch. I received my B.S. from Huazhong University of Science and Technology in 2023, and spent a summer at the National University of Singapore.
Full list on Google Scholar.
PreprintarXiv:2608.14624
APSysACM SIGOPS Asia-Pacific Workshop on Systems
PreprintarXiv:2512.14946
PreprintarXiv:2510.09665
IEEE EDGEInternational Conference on Edge Computing and Communications