About Me

I work on AI infrastructure and performance. Previously, I received my Ph.D. from UC San Diego and B.E. from Shanghai Jiao Tong University. My thesis focuses on algorithm–system co-design for scalable and secure AI. I'm honored to be recognized as the 2025 Machine Learning and Systems Rising Star.

Experience

Education

Sep 2021 – May 2026

UC San Diego

Ph.D. in Machine Learning and Data Science

Sep 2017 – Jun 2021

Shanghai Jiao Tong University

B.E. in Electronic Engineering

Research

My full publication list is available on Google Scholar. You might visit my webpage for the following works:

DAC 26

AttestLLM: Efficient Attestation Framework for Billion-scale On-device LLMs

Ruisi Zhang*, Yifei Zhao*, Neusha Javidnia, Mengxin Zheng, Farinaz Koushanfar

Paper Slide
Arxiv 25

SimpleFSDP: Simpler Fully Sharded Data Parallel with torch.compile

Ruisi Zhang*, Tianyu Liu*, Will Feng, Andrew Gu, Sanket Purandare, Wanchao Liang, Francisco Massa

Paper Code Slide
Nature Machine Intelligence 24

Distributed Constrained Combinatorial Optimization leveraging Hypergraph Neural Networks

Nasimeh Heydaribeni, Xinrui Zhan, Ruisi Zhang, Tina Eliassi-Rad, Farinaz Koushanfar

Paper Code
USENIX Security 24

REMARK-LLM: A Robust and Efficient Watermarking Framework for Generative Large Language Models

Ruisi Zhang, Shehzeen Samarah Hussain, Paarth Neekhara, Farinaz Koushanfar

Paper Code Slide

Awards

  • 2025

    Machine Learning and Systems Rising Star

  • 2024

    Qualcomm Innovation Fellowship Finalist

  • 2023

    DAC Young Fellow

  • 2021

    ECE Department Fellowship at UC San Diego

  • 2018-2020

    Academic Excellence Scholarship at SJTU

Service

  • Conference Reviewer ICCV; CVPR; ICASSP; ICML; EMNLP; ACL; IJCNN
  • Journal Reviewer IEEE TDSC; IEEE TCAD; IEEE TNNLS; IEEE TIFS
  • AE Committee CCS; NDSS

Misc

Fun facts about me:

I'm a fan of Chen Li's music.
Lifehack: The best way to combat ADHD is to get more sleep. :)