Qingyao Ai is an Associate Professor at Tsinghua University specializing in Information Retrieval and Machine Learning, with eight years of research and academic experience bridging US and Chinese institutions. He earned his MS and PhD at UMass Amherst under W. Bruce Croft at CIIR and completed his BS at Tsinghua, bringing deep roots in top IR research groups. His work applies deep learning to ad-hoc retrieval, product search/recommendation, and learning-to-rank, informed by internships at Microsoft, Google, and A9 that connected academic ideas to industrial-scale search. Qingyao has held faculty positions at the University of Utah and progressed rapidly from assistant to associate professor at Tsinghua, indicating strong research impact and leadership. Colleagues note his ability to translate theoretical models into practical retrieval solutions for e-commerce and advertising systems. He combines rigorous academic training with hands-on industry experience, often pursuing cross-disciplinary projects that improve real-world search and recommendation performance.
8 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at University of Massachusetts Amherst
BS, Computer Science, BS, Computer Science at Tsinghua University
Contributions:1 release, 23 commits, 14 PRs in 3 years 5 months
learning-to-rankultraunbiased
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