151 citations · 270 across the 8 of their papers we have counts for
8 papers
Enhancing Security Patch Identification by Capturing Structures in Commits
Bozhi Wu, Shangqing Liu, Ruitao Feng +3
With the rapid increasing number of open source software (OSS), the majority of the software vulnerabilities in the open source components are fixed silently, which leads to the de…
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…
GraphSearchNet: Enhancing GNNs via Capturing Global Dependencies for Semantic Code Search
Shangqing Liu, Xiaofei Xie, Jingkai Siow +3
Code search aims to retrieve accurate code snippets based on a natural language query to improve software productivity and quality. With the massive amount of available programs su…
SPI: Automated Identification of Security Patches via Commits
Yaqin Zhou, Jing Kai Siow, Chenyu Wang +2
Security patches in open-source software, providing security fixes to identified vulnerabilities, are crucial in protecting against cyberattacks. Despite the National Vulnerability…
Retrieval-Augmented Generation for Code Summarization via Hybrid GNN
Shangqing Liu, Yu Chen, Xiaofei Xie +2
Source code summarization aims to generate natural language summaries from structured code snippets for better understanding code functionalities. However, automatic code summariza…
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…