Yao SHU
Research Scientist at Hong Kong University of Science and Technology (Guangzhou)
Guangzhou City, Guangdong Province, China
Summary
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SeniorYao Shu is a tenure-track assistant professor at HKUST (Guangzhou) and an 8-year researcher specializing in theory-grounded, practically useful learning and optimization algorithms. He earned a PhD in Computer Science from NUS, where his thesis won the IMDA Excellence in Computing Prize and the Dean’s Graduate Research Excellence Award, and then held research roles at NUS, Tencent (Senior Researcher/Technical Fellow), and the Guangdong Lab of AI and Digital Economy. His work bridges rigorous algorithmic analysis with real-world deployment, reflecting experience across academia, industry labs, and AI policy-focused research environments in Guangdong. Known for producing provable methods that scale, he frequently moves between foundational theory and applied engineering, enabling smoother transitions from prototype to production. Based in Guangdong Province, he combines strong publication pedigree with hands-on product-minded research experience gained at Tencent. An understated strength is his track record of translating PhD-level theoretical advances into tangible implementations in commercial and lab settings.
8 years of coding experience
Github Skills (9)
learning-rate9
nas5
computer-vision4
pytorch4
neural-architecture-search4
imagenet4
deep-learning3
hyperparameter-tuning3
hyperparameter-optimization2
Programming languages (3)
Github contributions (5)
solopku/NAS
Jan 2019 - Mar 2019
Contributions:201 pushes in 1 month
shuyao95/shuyao95.github.io
Oct 2019 - Oct 2024
Source code for homepage
Contributions:150 pushes, 1 branch in 5 years 1 month
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