23 citations · 80 across the 7 of their papers we have counts for
Showing cs.SEShow all
3 papers · 1 filter
cs.SE2020★ 4 cited
Learning Semantic Program Embeddings with Graph Interval Neural Network
Yu Wang, Fengjuan Gao, Linzhang Wang +1
Learning distributed representations of source code has been a challenging task for machine learning models. Earlier works treated programs as text so that natural language methods…
cs.SE2019★ 17 cited
Learning Blended, Precise Semantic Program Embeddings
Ke Wang, Zhendong Su
Learning neural program embeddings is key to utilizing deep neural networks in program languages research --- precise and efficient program representations enable the application o…
cs.SE2019
Learning a Static Bug Finder from Data
Yu Wang, Fengjuan Gao, Linzhang Wang +1
We present an alternative approach to creating static bug finders. Instead of relying on human expertise, we utilize deep neural networks to train static analyzers directly from da…