Meet the Team

Principal Investigators

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李萌

助理教授、研究员、博雅青年学者

高效、安全多模态人工智能加速算法和芯片, 算法/芯片协同设计

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

Yi Chen

PhD Student (2025)

Privacy-Preserving AI

Linfeng Zhong

PhD Student (co-advised w/ Prof. Yuan Wang, 2026)

Efficient AI

Master Students

Yikang Jia

Master Student (Co-advised with Prof. Runsheng Wang, 2022)

Efficient Artificial Intelligence in Embedded System

Alumni

NameResearch DirectionAwards & PapersCurrent Position
Weikai Xu
Ph.D. (2026)co-advised w/ Prof. Ru Huang
Efficient AI10+ first-author papers; recipient of 北京大学五四奖章, 北京市优秀毕业生, 北京市优秀毕业论文等Postdoc, HKUST
Zuodong Zhang
Ph.D. (2023)co-advised w/ Prof. Runsheng Wang
VLSI reliability analysis and optimizationPeking University
Songqiang Xu
M.S. (2026)
Efficient Deep Learning2+ first-author papersPhD, Tsinghua University
Wenxuan Zeng
M.S. (2026)co-advised w/ Prof. Runsheng Wang
Efficient Deep Learning, Privacy-preserving Machine Learning5+ first-author papers; recipient of 北京大学优秀毕业论文Tencent Inc (Talent Program)
Tong Tong
M.S. (2023)
Privacy-preserving deep learningPeking University