8 citations · 8 across the 9 of their papers we have counts for
9 papers
IntentTester: Intent-Driven Multi-agent Framework for Cross-Library Test Migration
Yi Gao, Ziyuan Zhang, Xing Hu +2
Unit tests capture both functional checks and domain-specific knowledge, but this knowledge remains locked within individual projects and is rarely reused across libraries with ove…
V-ABFT: Variance-Based Adaptive Threshold for Fault-Tolerant Matrix Multiplication in Mixed-Precision Deep Learning
Yiheng Gao, Qin Hua, Zizhong Chen
Algorithm-Based Fault Tolerance (ABFT) is widely adopted to detect silent data corruptions (SDCs) in matrix multiplication, a cornerstone operation in deep learning systems. Howeve…
Multi-Agent End-to-End Vulnerability Management for Mitigating Recurring Vulnerabilities
Zelong Zheng, Jiayuan Zhou, Xing Hu +2
Software vulnerability management has become increasingly critical as modern systems scale in size and complexity. However, existing automated approaches remain insufficient. Tradi…
DepRadar: Agentic Coordination for Context Aware Defect Impact Analysis in Deep Learning Libraries
Yi Gao, Xing Hu, Tongtong Xu +3
Deep learning libraries like Transformers and Megatron are now widely adopted in modern AI programs. However, when these libraries introduce defects, ranging from silent computatio…
Automated Unit Test Refactoring
Yi Gao, Xing Hu, Xiaohu Yang +1
Test smells arise from poor design practices and insufficient domain knowledge, which can lower the quality of test code and make it harder to maintain and update. Manually refacto…
Vulnerability-Triggering Test Case Generation from Third-Party Libraries
Yi Gao, Xing Hu, Zirui Chen +1
Open-source third-party libraries are widely used in software development. These libraries offer substantial advantages in terms of time and resource savings. However, a significan…
GUIMigrator: Semantics-Preserving Transpilation from Android XML to Compose and SwiftUI
Yi Gao, Xing Hu, Xin Xia +1
Constructing user interfaces (UIs) is one of the most resource-intensive tasks in mobile development, often consuming more than half of overall effort. Although declarative framewo…
MicroFuzz: An Efficient Fuzzing Framework for Microservices
Peng Di, Bingchang Liu, Yiyi Gao
This paper presents a novel fuzzing framework, called MicroFuzz, specifically designed for Microservices. Mocking-Assisted Seed Execution, Distributed Tracing, Seed Refresh and Pip…
Exploiting Library Vulnerability via Migration Based Automating Test Generation
Zirui Chen, Xing Hu, Xin Xia +4
In software development, developers extensively utilize third-party libraries to avoid implementing existing functionalities. When a new third-party library vulnerability is disclo…