Qingyao Ai

Associate Professor

Beijing, China
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Summary

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Senior
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Top School
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.
code8 years of coding experience
job5 years of employment as a software developer
bookMaster's degree, Computer Science, Master's degree, Computer Science at University of Massachusetts Amherst
bookBS, Computer Science, BS, Computer Science at Tsinghua University
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Github Skills (20)

multi-layer10
feed9
ranking9
science8
computer-science7
react7
deep-learning6
matching6
machine-learning6
neural-network4
statistics2
pytorch2
pytorch-lightning1
record-linkage1
heterogeneous1

Programming languages (4)

CSSVueHTMLPython

Github contributions (5)

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THUIR/THUIR-website

Sep 2022 - Jan 2023

THUIR website
Contributions:2 releases, 192 commits, 94 PRs in 3 months
ULTR-Community/ULTRA

May 2019 - Oct 2022

Unbiased Learning To Rank Algorithms (ULTRA)
Contributions:1 release, 23 commits, 14 PRs in 3 years 5 months
learning-to-rankultraunbiased
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Qingyao Ai - Associate Professor