Quan Guo is an Associate Professor of Artificial Intelligence with 14 years of experience bridging machine intelligence research and applied computer vision. He earned his Ph.D. from Sichuan University under an IEEE Fellow and has held postdoctoral positions at Michigan State and Tulane, bringing international research collaborations into his work. Quan's research blends sparse representation, deep learning, and cognitive science to develop practical algorithms for video mining, seal validation, and human-AI cooperation. He founded the IEEE Chengdu Young Professionals group, reflecting a commitment to mentoring and community building beyond academia. Based in Nanning, he combines a strong publication and teaching record with hands-on lab leadership and industry internship experience at Baidu.
14 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Machine Intelligence, Doctor of Philosophy - PhD, Machine Intelligence at Sichuan University
Contributions:2 PRs, 124 pushes, 5 branches in 9 years 4 months
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