About Me

I’ll be on the job market in 2027. Happy to connect about opportunities!

Hello! I’m Zikun Li, a PhD candidate in the Computer Science Department at Carnegie Mellon University, advised by Prof. Zhihao Jia. My research focuses on making large language models more efficient, with interests in Efficient LLM Architectures, Efficient LLM Training and Inference Algorithms, and Reinforcement Learning. I received my bachelor’s degree in Computer Science from Peking University in 2021, where I worked with Prof. Tong Yang on algorithms for data stream mining.

News

14/09/2026 Our OpWeave preprint on flexible operator disaggregation for heterogeneous LLM serving is now available on arXiv. Check it out here!

23/08/2025 AdaServe is accepted by EuroSys ‘26! 🎊

23/01/2025 We release AdaServe, a system for high-throughput SLO-customized LLM serving with speculative decoding. Check it out here!

23/01/2025 TidalDecode is accepted by ICLR ‘25! 🎊

Publications

Teaching

  • TA of 15418/618 Parallel Computer Architecture and Programming, 2023 Fall

Miscellaneous

  • I play 🎾 and 🎱 in my spare time.