Renjie Cai is a Ph.D. student in the AI Infra Group at the University of Macau. He received his B.S. in Cyberspace Security from the University of Electronic Science and Technology of China, where he worked as a research assistant on machine learning systems. His work spans efficient serving systems for vision-language-action (VLA) models on edge GPUs, profiling Transformer workloads on NPUs, and secure inference in trusted execution environments (TEEs).
Interests
- Machine learning systems and efficient ML serving
- Systems for vision-language-action (VLA) models and physical AI
- Secure inference on heterogeneous accelerators
Education
- Ph.D. in Computer Science, 2026 - Current
University of Macau - B.S. in Cyberspace Security (GPA 3.81/4.0), 2021 - 2025
University of Electronic Science and Technology of China