Xiao Zhang

I am a Ph.D. student in Computer Science at the University of Texas at Austin, advised by Daehyeok Kim. I build networked and distributed systems for AI and latency-critical applications. My research spans datacenter networks and edge computing, with a current focus on making AI workloads predictable and efficient—from the network fabric up to GPU resources. My goal is to build practical systems that bridge real-world deployment with the infrastructure needs of modern AI.

Scholar GitHub Email

research interests

Networked & Distributed Systems AI Infrastructure Datacenter Networks Edge AI

news

Jun 01, 2026	Started a SWE internship at Google Cloud.
Dec 09, 2025	SMEC accepted to NSDI 2026.
Sep 01, 2025	Received the Amazon AI Fellowship. Thanks, Amazon!

selected publications

NSDI

Enabling SLO-Aware 5G Multi-Access Edge Computing with SMEC

Xiao Zhang and Daehyeok Kim

In Proceedings of the 23rd USENIX Symposium on Networked Systems Design and Implementation (NSDI), May 2026

PDF HTML Bib Code

@inproceedings{zhang2026smec,
  title = {Enabling SLO-Aware 5G Multi-Access Edge Computing with SMEC},
  author = {Zhang, Xiao and Kim, Daehyeok},
  booktitle = {Proceedings of the 23rd USENIX Symposium on Networked Systems Design and Implementation (NSDI)},
  year = {2026},
  month = may,
}

OSDI

Beaver: Practical Partial Snapshots for Distributed Cloud Services

Liangcheng Yu, Xiao Zhang, Haoran Zhang, John Sonchack, Dan Ports, and Vincent Liu

In Proceedings of the 18th USENIX Symposium on Operating Systems Design and Implementation (OSDI), Jul 2024

PDF HTML Bib Code

@inproceedings{yu2024beaver,
  title = {Beaver: Practical Partial Snapshots for Distributed Cloud Services},
  author = {Yu, Liangcheng and Zhang, Xiao and Zhang, Haoran and Sonchack, John and Ports, Dan and Liu, Vincent},
  booktitle = {Proceedings of the 18th USENIX Symposium on Operating Systems Design and Implementation (OSDI)},
  year = {2024},
  month = jul,
}