Summary
Xinbo Wang is a senior R&D engineer based in Haidian, Beijing, with 11 years of experience specializing in image algorithms and a career that transitioned from traditional computer vision to deep-learning–based methods as CNNs rose to prominence. He has applied vision AI across industries—from industrial inspection and railway safety systems to consumer appliances and large-scale video understanding and recommendation at Baidu. Xinbo combines a strong academic foundation in control theory and mathematics with hands-on project leadership, shipping practical systems like pantograph detection, ore particle sizing, and gesture-based appliance features. Known for bridging research and production, he focuses on robust, deployed solutions rather than just prototypes, and brings particular depth in applying deep learning to real-time, safety- and performance-sensitive applications.
11 years of coding experience
5 years of employment as a software developer
Master's degree, Control theory and control engineering, Master's degree, Control theory and control engineering at Tianjin University
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at Northeast Normal University