13 citations · 14 across the 8 of their papers we have counts for
9 papers
Lingxi: Repository-Level Issue Resolution Framework Enhanced by Procedural Knowledge Guided Scaling
Xu Yang, Jiayuan Zhou, Michael Pacheco +5
Driven by the advancements of Large Language Models (LLMs), LLM-powered agents are making significant improvements in software engineering tasks, yet struggle with complex, reposit…
A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection
Seyed Shayan Daneshvar, Da Tan, Shaowei Wang +1
Various deep learning (DL) methods have recently been utilized to detect software vulnerabilities. Real-world software vulnerability datasets are rare and hard to acquire, as there…
One-for-All Does Not Work! Enhancing Vulnerability Detection by Mixture-of-Experts (MoE)
Xu Yang, Shaowei Wang, Jiayuan Zhou +1
Deep Learning-based Vulnerability Detection (DLVD) techniques have garnered significant interest due to their ability to automatically learn vulnerability patterns from previously…
Code Change Intention, Development Artifact and History Vulnerability: Putting Them Together for Vulnerability Fix Detection by LLM
Xu Yang, Wenhan Zhu, Michael Pacheco +4
Detecting vulnerability fix commits in open-source software is crucial for maintaining software security. To help OSS identify vulnerability fix commits, several automated approach…
PromptExp: Multi-granularity Prompt Explanation of Large Language Models
Ximing Dong, Shaowei Wang, Dayi Lin +4
Large Language Models excel in tasks like natural language understanding and text generation. Prompt engineering plays a critical role in leveraging LLM effectively. However, LLMs…
VFDelta: A Framework for Detecting Silent Vulnerability Fixes by Enhancing Code Change Learning
Xu Yang, Shaowei Wang, Jiayuan Zhou +1
Vulnerability fixes in open source software (OSS) usually follow the coordinated vulnerability disclosure model and are silently fixed. This delay can expose OSS users to risks as…
GUI Element Detection Using SOTA YOLO Deep Learning Models
Seyed Shayan Daneshvar, Shaowei Wang
Detection of Graphical User Interface (GUI) elements is a crucial task for automatic code generation from images and sketches, GUI testing, and GUI search. Recent studies have leve…
VulScribeR: Exploring RAG-based Vulnerability Augmentation with LLMs
Seyed Shayan Daneshvar, Yu Nong, Xu Yang +2
Detecting vulnerabilities is vital for software security, yet deep learning-based vulnerability detectors (DLVD) face a data shortage, which limits their effectiveness. Data augmen…
SimClone: Detecting Tabular Data Clones using Value Similarity
Xu Yang, Gopi Krishnan Rajbahadur, Dayi Lin +3
Data clones are defined as multiple copies of the same data among datasets. Presence of data clones between datasets can cause issues such as difficulties in managing data assets a…