Scholar
Ruisi Cai
Google Scholar ID: B0chY1AAAAAJ
University of Texas at Austin
Citations & Impact
Citations
782
H-index
8
i10-index
7
Publications
16
Co-authors
0
Publications
Resume
Academic Achievements
- Jul. 2025: Awarded the Graduate Dean’s Prestigious Fellowship
- Mar. 2025: Selected for the ML and Systems Rising Star Awards 2025
- Dec. 2024: Recipient of the NVIDIA Fellowship
- Feb. 2024: Finalist for the 2024 Qualcomm Innovation Fellowship (with Yeonju Ro)
- Published multiple papers at top-tier conferences including ICML, CVPR, ICLR, and NeurIPS, covering topics such as MoE, 3D Gaussian Splatting, SSMs, and efficient LLM deployment
Background
- Fourth-year Ph.D. student in the VITA Group, Department of Electrical and Computer Engineering, The University of Texas at Austin
- Advised by Prof. Zhangyang (Atlas) Wang
- Research interests include:
- - Efficient training and inference for large foundation models: Adaptive frameworks, elastic model deployment, Mixture of Experts (MoE)
- - Long context generation: Long context training & serving, State Space Models (SSM)
- - AI security and privacy: Trustworthy ML, robustness for MoE, backdoor attacks
- - Distributed training, task heterogeneity, data scaling