Yonghui Liu

According to our database, Yonghui Liu authored at least 18 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A comparative study between android phone and TV apps.

Yonghui Liu, Xiao Chen, Yue Liu, Pingfan Kong, Tegawendé F. Bissyandé, Jacques Klein, Xiaoyu Sun, Li Li, Chunyang Chen, John C. Grundy

Autom. Softw. Eng., November, 2025

Bamboo: LLM-Driven Discovery of API-Permission Mappings in the Android Framework.

Han Hu, Wei Minn, Yonghui Liu, Jiakun Liu, Ferdian Thung, Terry Yue Zhuo, Lwin Khin Shar, Debin Gao, David Lo

CoRR, October, 2025

Multi-Modal Requirements Data-based Acceptance Criteria Generation using LLMs.

Fanyu Wang, Chetan Arora, Yonghui Liu, Kaicheng Huang, Chakkrit Tantithamthavorn, Aldeida Aleti, Dishan Sambathkumar, David Lo

CoRR, August, 2025

LLM for Mobile: An Initial Roadmap.

Daihang Chen, Yonghui Liu, Mingyi Zhou, Yanjie Zhao, Haoyu Wang, Shuai Wang, Xiao Chen, Tegawendé F. Bissyandé, Jacques Klein, Li Li

ACM Trans. Softw. Eng. Methodol., June, 2025

Demystifying React Native Android Apps for Static Analysis.

Yonghui Liu, Xiao Chen, Pei Liu, Jordan Samhi, John C. Grundy, Chunyang Chen, Li Li

ACM Trans. Softw. Eng. Methodol., May, 2025

2024

Automatically Recommend Code Updates: Are We There Yet?

Yue Liu, Chakkrit Tantithamthavorn, Yonghui Liu, Patanamon Thongtanunam, Li Li

ACM Trans. Softw. Eng. Methodol., November, 2024

On the Reliability and Explainability of Language Models for Program Generation.

Yue Liu, Chakkrit Tantithamthavorn, Yonghui Liu, Li Li

ACM Trans. Softw. Eng. Methodol., June, 2024

In-Context Code-Text Learning for Bimodal Software Engineering.

Xunzhu Tang, Liran Wang, Yonghui Liu, Linzheng Chai, Jian Yang, Zhoujun Li, Haoye Tian, Jacques Klein, Tegawendé F. Bissyandé

CoRR, 2024

Are Your Android App Analyzers Still Relevant?

Haonan Chen, Daihang Chen, Yonghui Liu, Xiaoyu Sun, Li Li

Proceedings of the IEEE/ACM 11th International Conference on Mobile Software Engineering and Systems, 2024

2023

Taming Android Fragmentation Through Lightweight Crowdsourced Testing.

Xiaoyu Sun, Xiao Chen, Yonghui Liu, John C. Grundy, Li Li

IEEE Trans. Software Eng., June, 2023

On the Reliability and Explainability of Automated Code Generation Approaches.

Yue Liu, Chakkrit Tantithamthavorn, Yonghui Liu, Li Li

CoRR, 2023

LazyCow: A Lightweight Crowdsourced Testing Tool for Taming Android Fragmentation.

Xiaoyu Sun, Xiao Chen, Yonghui Liu, John C. Grundy, Li Li

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

ReuNify: A Step Towards Whole Program Analysis for React Native Android Apps.

Yonghui Liu, Xiao Chen, Pei Liu, John Grundy, Chunyang Chen, Li Li

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Detecting Temporal Inconsistency in Biased Datasets for Android Malware Detection.

Haonan Hu, Yue Liu, Yanjie Zhao, Yonghui Liu, Xiaoyu Sun, Chakkrit Tantithamthavorn, Li Li

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, ASE 2023, 2023

2022

A Comparative Study of Smartphone and Smart TV Apps.

Yonghui Liu, Xiao Chen, Yue Liu, Pingfan Kong, Tegawendé F. Bissyandé, Jacques Klein, Xiaoyu Sun, Chunyang Chen, John Grundy

CoRR, 2022

AutoUpdate: Automatically Recommend Code Updates for Android Apps.

Yue Liu, Chakkrit Tantithamthavorn, Yonghui Liu, Patanamon Thongtanunam, Li Li

CoRR, 2022

A First Look at CI/CD Adoptions in Open-Source Android Apps.

Pei Liu, Xiaoyu Sun, Yanjie Zhao, Yonghui Liu, John Grundy, Li Li

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

2021

A First Look at Security Risks of Android TV Apps.

Yonghui Liu, Li Li, Pingfan Kong, Xiaoyu Sun, Tegawendé F. Bissyandé

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021