Chengjun Zhang got his B.S. degree from Hunan University in 2012 and his M.S. degree from Zhejiang University in 2015. After graduation, he worked as an Computer Vision Algorithm Engineer at Shenhao Technology in Hangzhou, and from 2021 to 2024, he conducted research on brain-inspired algorithms at the Zhejiang Lab. Since April 2024, he joined Westlake Institute for Optoelectronics as an engineer.

Chengjun Zhang is an experienced engineer with years of expertise in computer vision and robotic control. He focuses on developing and deploying spiking neural network (SNN) algorithms for neuromorphic chips, while also researching brain-inspired perception and decision-making algorithms for high-speed dynamic scenarios using event camera.

[1] Zhang C, Yip KW, Yang B, et al. CASRL: Collision Avoidance with Spiking Reinforcement Learning Among Dynamic, Decision-Making Agents. In: 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). ; 2024:8031-8038.