Fangke Ye
Research Scientist at Meta
United States
Summary
👤
Senior🎓
Top SchoolFangke Ye is a research scientist and PhD candidate at Georgia Tech with a decade of experience applying machine learning to programming systems to boost code performance and developer productivity. He has built deep learning solutions across code semantic similarity, type inference, test generation, and compiler optimization, and contributed static-analysis techniques for debugging parallel programs using symbolic execution and polyhedral analysis. His industry work includes roles at Meta, Google (where he developed a deep generative model for structured test inputs), and Intel Labs (where he created MISIM, a context-aware code similarity system). Fangke blends rigorous academic research with production-focused engineering, often combining neural methods with program-analysis insights to tackle real-world compiler and testing problems.
10 years of coding experience
Exchange, Computer Science, Exchange, Computer Science at The University of Texas at AustinDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Georgia Institute of TechnologyBachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at Tsinghua University
Chinese, EnglishGithub contributions (5)
fkye/PSE-MPI
Oct 2018 - Jun 2021
Contributions:2 commits, 2 pushes, 1 branch in 2 years 8 months
fkye/os-spoc-answer
Feb 2016 - May 2016
Contributions:14 pushes, 1 branch in 2 months
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