Leyang Xue
School of Informatics, The University of Edinburgh
Moody 31,
Largs, Scotland
I am currently a Research Associate at The University of Edinburgh. I was a PhD Student at The University of Edinburgh, supervised by Prof. Mahesh Marina and Prof. Luo Mai. I received my B.Eng. degree in Electronic and Computer Engineering from Shanghai Jiao Tong University in Aug. 2018.
My research interest lies in the intersection of machine learning and distributed systems. My goal is to build efficient systems for the large-scale machine learning jobs. My current research focuses on the cost and energy efficiency of inference and training large language models (LLMs) in both cloud and edge environment. My current postdoc research focuses on AI on Edge Infra and GPU sharing between AI and realtime workload.
News
Best Paper Runner-up at MobiUK 2026 for On Making AI-and-RAN Efficient and Safe.
Received the EdgeSys 2026 Best Paper Award for Morphling: Emulator for Distributed Machine Learning at the Edge.
Selected Publications
- SIGCOMMCausalTune: Causal Learning based Automated Cellular RAN Configuration Tuning FrameworkIn SIGCOMM, 2026
- BatchGen: An Architecture for Scalable and Efficient Batch InferenceIn OSDI, 2026
- EdgeSys
- Towards Energy Efficient 5G vRAN ServersIn NSDI, 2025