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20172024
most citedA Performance-Sensitive Malware Detection System Using Deep Learning on Mobile Devices

140 citations · 502 across the 31 of their papers we have counts for

collaborators
Showing 2023Show all

6 papers · 1 filter

cs.SE2023★ 1 cited

Scene-Driven Exploration and GUI Modeling for Android Apps

Xiangyu Zhang, Lingling Fan, Sen Chen +2

Due to the competitive environment, mobile apps are usually produced under pressure with lots of complicated functionality and UI pages. Therefore, it is challenging for various ro…

cs.SE2023

Automated and Context-Aware Repair of Color-Related Accessibility Issues for Android Apps

Yuxin Zhang, Sen Chen, Lingling Fan +2

Approximately 15% of the world's population is suffering from various disabilities or impairments. However, many mobile UX designers and developers disregard the significance of ac…

cs.SE2023★ 2 cited

Mitigating Persistence of Open-Source Vulnerabilities in Maven Ecosystem

Lyuye Zhang, Chengwei Liu, Sen Chen +5

Vulnerabilities from third-party libraries (TPLs) have been unveiled to threaten the Maven ecosystem. Despite patches being released promptly after vulnerabilities are disclosed, t…

cs.SE2023

A Comprehensive Empirical Study of Bugs in Open-Source Federated Learning Frameworks

Weijie Shao, Yuyang Gao, Fu Song +3

Federated learning (FL) is a distributed machine learning (ML) paradigm, allowing multiple clients to collaboratively train shared machine learning (ML) models without exposing cli…

cs.SE2023★ 13 cited

A Comprehensive Study on Quality Assurance Tools for Java

Han Liu, Sen Chen, Ruitao Feng +6

Quality assurance (QA) tools are receiving more and more attention and are widely used by developers. Given the wide range of solutions for QA technology, it is still a question of…

cs.SE2023★ 1 cited

Compatible Remediation on Vulnerabilities from Third-Party Libraries for Java Projects

Lyuye Zhang, Chengwei Liu, Zhengzi Xu +5

With the increasing disclosure of vulnerabilities in open-source software, software composition analysis (SCA) has been widely applied to reveal third-party libraries and the assoc…