Zizhuo Fu won the first place in ACM/SIGDA Student Research Competition (Undergraduate Category).
One paper on efficient embodied AI system accepted by ASPLOS'2026.
One paper on efficient embodied AI accepted by ASSCC'2025.
Three papers accepted by NeurIPS'2025 on privacy-preserving AI (PPAI) and efficient embodied AI.
A survey paper on privacy-preserving machine learning (PPML) posted on Arxiv, with a GitHub repository to track relevant papers in the field.
Background
Currently a tenure-track assistant professor jointly affiliated with the Institute for Artificial Intelligence and School of Integrated Circuits at Peking University. Research interests focus on efficient and secure multi-modality AI acceleration algorithms and hardware.
Miscellany
Looking for creative and self-motivated students and postdocs interested in co-designing future AI acceleration algorithms and systems for efficiency and privacy.