Welcome to Zhouzi’s Homepage

I am Zhouzi Li (李洲子 in Chinese, how to pronounce), and I also go by Arthur. I am a fourth-year PhD student in the Computer Science Department at Carnegie Mellon University, advised by Prof. Mor Harchol-Balter. My research focuses on queueing theory and computer system performance, with a particular interest in scheduling problems arising in real-world systems — including cloud GPU resource allocation and LLM inference jobs scheduling.

Before CMU, I received my B.Eng. from Yao Class (IIIS), Tsinghua University.

Research Overview

Tail optimization in multi-server queues

Scheduling policies that minimize the response time tail in multi-server systems with heavy-tailed job sizes. SIGMETRICS 2027

Resource allocation for ML training jobs

Theory: Optimal core allocation across malleable jobs, which can run on any number of cores. IFIP Performance 2026
Systems: Budget-optimal allocation of rented cloud GPUs for ML training. Under submission

LLM inference scheduling

Scheduling and batching LLM inference requests to meet latency targets while using GPUs efficiently. Under submission

Bandit theory for scheduling with time-varying holding costs

Scheduling jobs whose cost of waiting grows as they wait, using a restless bandit (Whittle index) approach. Operations Research 2026 Queueing Systems 2026

My CV

You can download my CV here.

Outside of research, I enjoy playing basketball and tennis. I am also a great fan of music and play the guitar.