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Tag Archives: automated refactoring
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Tool demo paper on refactoring imperative DL programs to graph execution accepted at FASE ’25
Our tool demo paper entitled, "Hybridize functions: A tool for automatically refactoring imperative Deep Learning programs to graph execution" was accepted at FASE 2025. Continue reading
Received three-year NSF research grant on combating technical debt in Machine Learning systems as PI
Received a three-year NSF standard research grant for combating technical debt in Machine Learning (ML) systems. Continue reading
Talk at NEPLS at Harvard University
I gave a talk at the New England Programming Languages and Systems (NEPLS) symposium at Harvard University earlier this month.
Talk at University of Tokyo
My visit to University of Tokyo, August 2022. Continue reading
Received three-year NSF research grant on imperative Deep Learning program robustness and evolution as PI
Received a three-year NSF standard research grant for analyzing and transforming imperative Deep Learning (DL) programs. Continue reading
Preprint now available for ICSE 2019 paper
A preprint for our ICSE 2019 paper entitled “Safe Automated Refactoring for Intelligent Parallelization of Java 8 Streams” is now available!
Best paper award at IEEE SCAM 2018
We are honored to receive a best paper award at the 2018 IEEE International Working Conference on Source Code Analysis and Transformation (SCAM ’18) for our paper entitled, “A Tool for Optimizing Java 8 Stream Software via Automated Refactoring” with Yiming Tang, Mehdi Beherdezeh, and Syed Ahmed.
