Yue Yu
Research Scientist at Meta
Mountain View, California, United States
Summary
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Top SchoolYue Yu is a research scientist based in Mountain View with eight years of experience advancing large language models and reinforcement learning for code and reasoning. After a prolific PhD at Georgia Tech (30+ papers, 2k+ citations), Yue has contributed to high-impact projects at Meta, Google, NVIDIA and Microsoft, including work on RL for code reasoning, synthetic reasoning trace generation, and instruction finetuning for RAG. Currently on Meta’s FAIR CodeGen team, Yue blends deep academic rigor with product-facing research in GenAI and superintelligence labs. A not-obvious strength is their track record of turning academic ideas into production-relevant methods across multiple industry research labs, evidenced by conference papers in NeurIPS, ACL, EMNLP and NAACL.
7 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Computational Science and Engineering, Doctor of Philosophy - PhD Computational Science and Engineering at Georgia Institute of TechnologyBachelor of Engineering - BE Electronic Engineering, Bachelor of Engineering - BE Electronic Engineering at Tsinghua UniversityBachelor's degree Economics (with the specification in Finance), Bachelor's degree Economics (with the specification in Finance) at 清华大学经济管理学院 Tsinghua University School of Economics and ManagementHigh School Diploma Science, High School Diploma Science at NO.1 Middle School Affiliated to Central China Normal University
Chinese, English
Github Skills (45)
proc10
roberta10
weakly-supervised-learning10
contrastive-learning10
gnn9
text-classification9
bioinformatics9
transfer-learning9
nlp8
drug-discovery8
knowledge-graph8
natural-language-processing8
weak-supervision8
phonetics8
computational-linguistics8
Programming languages (2)
Github contributions (5)
yueyu1030/SumGNN
Jul 2020 - Sep 2021
[Bioinformatics 2021] This is the repo for the paper `SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization'.
Contributions:4 commits, 6 pushes, 4 comments in 1 year 2 months
bioinformaticsbiomedical-knowledge-graphbiosnapdrug-discoverydrug-drug-interaction
OpenMatch/COCO-DR
Oct 2022 - Jan 2023
Contributions:28 commits, 12 pushes, 5 comments in 2 months
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