Brain-inspired Lab Peking University

Zhaofei Yu

Tenure-track Assistant Professor

Email
Google Scholar

Present Position

  • Tenure-track Assistant Professor
  • Institute for Artificial Intelligence, Peking University
  • National Key Laboratory of General Artificial Intelligence

Biography

Zhaofei Yu, a Tenure-track Assistant Professor at the Institute for Artificial Intelligence, Peking University. His main research interests include brain-inspired computing and neuromorphic computing. He serves as Deputy Director of Brain-like Spiking Large Model Beijing Key Laboratory and Secretary-General of the Technical Committee on Spike Vision China, Society of Image and Graphics (CSIG). He has published more than 100 papers in leading journals, including Nature Biomedical Engineering, Nature Communications, Science Advances, IEEE Transactions journals, as well as top-tier conferences such as NeurIPS, ICML, and CVPR. He has led a number of major Research Program, including the National Natural Science Foundation of China (NSFC) Excellent Young Scientists Fund, Ministry of Science and Technology Science and Technology Innovation 2030–Brain Science and Brain-Inspired Intelligence, the National Natural Science Foundation of China (NSFC) Program for Joint Funds, and the Beijing Nova Program. He has also served as Area Chair for top-tier international conferences such as ICML, NeurIPS, and ICLR. His honors include the First Prize of the Natural Science Award by Chinese Association of Automation and First Prize of Technical Invention by Ministry of Education in China.

Research Program

Principal Investigator 01/2025-12/2027

Brain-inspired Visual Computing

Funding Source National Natural Science Foundation of China (NSFC) Excellent Young Scientists Fund

Principal Investigator 01/2025-12/2028

Research on Ultra-Fast Object Detection and Recognition Methods Based on Neuromorphic Vision

Funding Source National Natural Science Foundation of China (NSFC) Program for Joint Funds

Principal Investigator 09/2025-08/2030

Research on Principles and Technologies of Brain Neural Encoding and Decoding

Funding Source Ministry of Science and Technology Science and Technology Innovation 2030 - Brain Science and Brain-Inspired Intelligence

Principal Investigator 12/2025-12/2026

Brain-Inspired Embodied Multimodal Models

Funding Source Science and Technology Program of the Beijing Municipal Science and Technology Commission

Task Leader 12/2021-11/2026

Heterogeneous Integration Brain-Inspired Computing Research Platform

Funding Source Ministry of Science and Technology Science and Technology Innovation 2030 - Brain Science and Brain-Inspired Intelligence

Principal Investigator 01/2022-12/2025

Brain-Inspired Visual Encoding and Decoding Model Based on Spiking Neural Networks

Funding Source National Natural Science Foundation of China (NSFC) General Program

Principal Investigator 09/2023-09/2025

Spiking Neural Network Learning Theory and Its Applications in High-Speed Vision

Funding Source Innovation Nova Project of the Science and Technology Nova Program (Beijing Municipal Science and Technology Commission)

Education

  • "Tsinghua University: Doctor of Engineering (2012-2017)"
  • "Chongqing University: Bachelor of Optoelectronic Engineering (2008-2012)"