Meet the Team
Principal Investigators
Meng Li
Assistant Professor
Efficient and Secure Multi-Modality Artificial Intelligence, Algorithm/Hardware Co-Design/Co-Optimization
PhD Students
Qingyu Guo
PhD Student (Co-advised with Prof. Yuan Wang, 2020)
FPGA-based accelerator design
Yixuan Hu
PhD Student (Co-advised with Prof. Runsheng Wang, 2020)
Stochastic Computing, Approximate Computing
Renjie Wei
PhD Student (2022)
Efficient AI Algorithm & Accelerator
Tengyu Zhang
PhD Student (co-advised with Prof. Runsheng Wang, 2022)
Stochastic Computing, Approximate Computing
Shuzhang Zhong
PhD Student (2023)
Efficient AI Algorithm & System
Tianshi Xu
PhD Student (2023)
Efficient and Private AI Algorithm & Protocol
Chenqi Lin
PhD Student (2024)
Privacy-Preserving AI Accelerator
Jiangrui Yu
PhD Student (2024)
Privacy-Preserving AI Algorithm & Accelerator
Tong Xie
PhD Student (co-advised with Prof. Runsheng Wang, 2024)
Stochastic Computing, Approximate Computing
Zebin Yang
PhD Student (2024)
Efficient AI Algorithm & Hardware
Linye Wei
PhD Student (2025)
Efficient AI System & Accelerator
Master Students
Jiayong Wan
Master Student (2022)
Secure Artificial Intelligence
Yikang Jia
Master Student (Co-advised with Prof. Runsheng Wang, 2022)
Efficient Artificial Intelligence in Embedded System
Songqiang Xu
Master Student (2023)
Efficient Deep Learning
Wenxuan Zeng
Master/PhD Student (Co-advised with Prof. Runsheng Wang, 2023)
Efficient Deep Learning, Privacy-preserving Machine Learning
Alumni
Zuodong Zhang
Graduate Students (Co-advised with Prof. Runsheng Wang)
VLSI reliability analysis and optimization
Tong Tong
Master Student (Co-advised with Prof. Jinlong Lin, 2021)
Privacy-preserving deep learning