5 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.PL2020★ 3 cited
Advanced Graph-Based Deep Learning for Probabilistic Type Inference
Fangke Ye, Jisheng Zhao, Vivek Sarkar
Dynamically typed languages such as JavaScript and Python have emerged as the most popular programming languages in use. Important benefits can accrue from including type annotatio…
cs.LG2020★ 5 cited
MISIM: A Neural Code Semantics Similarity System Using the Context-Aware Semantics Structure
Fangke Ye, Shengtian Zhou, Anand Venkat +10
Code semantics similarity can be used for many tasks such as code recommendation, automated software defect correction, and clone detection. Yet, the accuracy of such systems has n…
cs.PL2020★ 2 cited
Context-Aware Parse Trees
Fangke Ye, Shengtian Zhou, Anand Venkat +8
The simplified parse tree (SPT) presented in Aroma, a state-of-the-art code recommendation system, is a tree-structured representation used to infer code semantics by capturing pro…