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About

Xunlei Wu is a leading researcher in computer vision and artificial intelligence, with a focus on real-world applications in intelligent transportation, industrial automation, and public safety. Wu’s most notable contribution is spearheading the prestigious AI City Challenge, now in its ninth edition. As the driving force behind this benchmark, Wu has shaped a global platform that bridges cutting-edge AI research with practical urban and industrial problems. The 2025 edition of the challenge, which has garnered 16 citations, saw a remarkable 17% increase in participation, attracting 245 teams from 15 countries. This growth underscores the challenge’s pivotal role in advancing vision-based solutions for smart cities, from traffic management to automated safety systems. Wu’s work has not only produced high-impact publications but also fostered a collaborative ecosystem that accelerates the deployment of AI in critical infrastructure. By consistently pushing the boundaries of applied computer vision, Xunlei Wu has established a legacy of translating complex algorithms into tangible, real-world impact.