18 citations · 40 across the 4 of their papers we have counts for
4 papers · 1 filter
Learning Program Semantics with Code Representations: An Empirical Study
Jing Kai Siow, Shangqing Liu, Xiaofei Xie +2
Program semantics learning is the core and fundamental for various code intelligent tasks e.g., vulnerability detection, clone detection. A considerable amount of existing works pr…
CORE: Automating Review Recommendation for Code Changes
JingKai Siow, Cuiyun Gao, Lingling Fan +2
Code review is a common process that is used by developers, in which a reviewer provides useful comments or points out defects in the submitted source code changes via pull request…
Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks
Yaqin Zhou, Shangqing Liu, Jingkai Siow +2
Vulnerability identification is crucial to protect the software systems from attacks for cyber security. It is especially important to localize the vulnerable functions among the s…
AndroVault: Constructing Knowledge Graph from Millions of Android Apps for Automated Analysis
Guozhu Meng, Yinxing Xue, Jing Kai Siow +3
Data driven research on Android has gained a great momentum these years. The abundance of data facilitates knowledge learning, however, also increases the difficulty of data prepro…