Yue Liu

According to our database, Yue Liu authored at least 14 papers between 2022 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

"My productivity is boosted, but ..." Demystifying Users' Perception on AI Coding Assistants.

Yunbo Lyu, Zhou Yang, Jieke Shi, Jianming Chang, Yue Liu, David Lo

CoRR, August, 2025

Protect Your Secrets: Understanding and Measuring Data Exposure in VSCode Extensions.

Yue Liu, Chakkrit Tantithamthavorn, Li Li

Proceedings of the IEEE International Conference on Software Analysis, 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

Large Language Models for Software Engineering: A Systematic Literature Review.

Xinyi Hou, Yanjie Zhao, Yue Liu, Zhou Yang, Kailong Wang, Li Li, Xiapu Luo, David Lo, John Grundy, Haoyu Wang

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

Refining ChatGPT-Generated Code: Characterizing and Mitigating Code Quality Issues.

Yue Liu, Thanh Le-Cong, Ratnadira Widyasari, Chakkrit Tantithamthavorn, Li Li, Xuan-Bach Dinh Le, David Lo

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

2023

Deep Learning for Android Malware Defenses: A Systematic Literature Review.

Yue Liu, Chakkrit Tantithamthavorn, Li Li, Yepang Liu

ACM Comput. Surv., 2023

Pitfalls in Language Models for Code Intelligence: A Taxonomy and Survey.

Xinyu She, Yue Liu, Yanjie Zhao, Yiling He, Li Li, Chakkrit Tantithamthavorn, Zhan Qin, Haoyu Wang

CoRR, 2023

On the Reliability and Explainability of Automated Code Generation Approaches.

Yue Liu, Chakkrit Tantithamthavorn, Yonghui Liu, Li Li

CoRR, 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

Explainable AI for Android Malware Detection: Towards Understanding Why the Models Perform So Well?

Yue Liu, Chakkrit Tantithamthavorn, Li Li, Yepang Liu

Proceedings of the IEEE 33rd International Symposium on Software Reliability Engineering, 2022