Summary
Xudong Fei is a Director-level computing engineer with over a decade of experience architecting energy-efficient deep learning cores and deploying them commercially in video SoCs. At Huawei’s 2012Lab he leads research into cognitive computing and unlabeled/low-label learning methods (AE, VAE, GAN, RL, STDP) and designs low-bit sparse learning architectures optimized for high performance and minimal power. His background spans hands-on DL core implementation, product-oriented engineering leadership, and cloud-aware system thinking, built on a Ph.D. in Communication from Zhejiang University. Known for translating cutting-edge algorithmic ideas into silicon-ready architectures, he combines research rigor with large-scale delivery experience across Huawei’s R&D centers.
10 years of coding experience
7 years of employment as a software developer
Ph.D, Communication, Ph.D, Communication at Zhejiang University