Jieyu Zhang
Student Researcher at Ai2
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolJieyu Zhang is a PhD computer science student and researcher based in Seattle with eight years of experience bridging academic research and industry internships in AI and data mining. Currently a student researcher at Ai2 and a research assistant at the University of Washington under Professors Ranjay Krishna and Alex Ratner, Jieyu has interned at Microsoft, Salesforce, ByteDance, and Microsoft Research Asia, focusing on applied ML and large-scale data problems. Their background spans rigorous data-mining foundations from UIUC to cutting-edge AI research at top labs, demonstrating an ability to move ideas from theory to production settings. Notably, Jieyu combines deep academic mentorship with practical industry exposure, suggesting a strong track record of collaborative research and transferable engineering impact.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of WashingtonBachelor's degree (transferred) Computer Science, Bachelor's degree (transferred) Computer Science at Beihang UniversityBachelor of Science - BS Computer Science Statistics Mathematics, Bachelor of Science - BS Computer Science Statistics Mathematics at University of Illinois Urbana-Champaign
English, Chinese
Github Skills (77)
benchmark10
natural-language-generation10
wrench10
regression10
fairness-ml10
random-forest10
chatgpt10
ai10
transfer-learning10
nlp10
classification10
sequence-labeling10
benchmarking10
weak-supervision10
clip10
Programming languages (6)
Github contributions (5)
JieyuZ2/wrench
Aug 2021 - Jan 2023
WRENCH: Weak supeRvision bENCHmark
Contributions:2 releases, 2 reviews, 128 commits in 1 year 5 months
benchmarkingdata-programmingbenchmarkrobust-learningweakly-supervised-learning
JieyuZ2/doc2graph
Feb 2020 - Jan 2021
Code for the paper "Neural Concept Map Generation for Effective Document Classification with Interpretable Structured Summarization" SIGIR 2020
Contributions:9 commits, 1 PR, 8 pushes in 10 months
nlpclassificationsigirmap-generationstructured
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