Yue Liu

25 papers A* 1A 2Journal 20Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Debt Behind the AI Boom: A Large-Scale Empirical Study of AI-Generated Code in the Wild.
CoRR
Yue Liu, Ratnadira Widyasari, Yanjie Zhao, Ivana Clairine Irsan, David Lo
2026 J jnl
Pitfalls in Language Models for Code Intelligence: A Taxonomy and Survey.
ACM Trans. Softw. Eng. Methodol.
Xinyu She, Yue Liu, Yanjie Zhao, Yiling He, Li Li, Chakkrit Tantithamthavorn, Zhan Qin, Haoyu Wang
2025 A* conf
"My productivity is boosted, but ..." Demystifying Users' Perception on AI Coding Assistants.
ASE
Yunbo Lyu, Zhou Yang, Jieke Shi, Jianming Chang, Yue Liu, David Lo
2025 J jnl
"My productivity is boosted, but ..." Demystifying Users' Perception on AI Coding Assistants.
CoRR
Yunbo Lyu, Zhou Yang, Jieke Shi, Jianming Chang, Yue Liu, David Lo
2025 J jnl
"Your AI, My Shell": Demystifying Prompt Injection Attacks on Agentic AI Coding Editors.
CoRR
Yue Liu, Yanjie Zhao, Yunbo Lyu, Ting Zhang, Haoyu Wang, David Lo
2025 J jnl
A comparative study between android phone and TV apps.
Autom. Softw. Eng.
Yonghui Liu, Xiao Chen, Yue Liu, Pingfan Kong, Tegawendé F. Bissyandé, Jacques Klein, Xiaoyu Sun, Li Li, Chunyang Chen, John C. Grundy
2025 — conf
COmmitSHield: Tracking Vulnerability Introduction and Fix in Version Control Systems.
ICSE Companion
Zhaonan Wu, Yanjie Zhao, Chen Wei, Zirui Wan, Yue Liu, Haoyu Wang
2025 J jnl
CommitShield: Tracking Vulnerability Introduction and Fix in Version Control Systems.
CoRR
Zhaonan Wu, Yanjie Zhao, Chen Wei, Zirui Wan, Yue Liu, Haoyu Wang
2025 A conf
Protect Your Secrets: Understanding and Measuring Data Exposure in VSCode Extensions.
SANER
Yue Liu, Chakkrit Tantithamthavorn, Li Li
2024 J jnl
Automatically Recommend Code Updates: Are We There Yet?
ACM Trans. Softw. Eng. Methodol.
Yue Liu, Chakkrit Tantithamthavorn, Yonghui Liu, Patanamon Thongtanunam, Li Li
2024 J jnl
Large Language Models for Software Engineering: A Systematic Literature Review.
ACM Trans. Softw. Eng. Methodol.
Xinyi Hou, Yanjie Zhao, Yue Liu, Zhou Yang, Kailong Wang, Li Li, Xiapu Luo, David Lo, John Grundy, Haoyu Wang
2024 J jnl
On the Reliability and Explainability of Language Models for Program Generation.
ACM Trans. Softw. Eng. Methodol.
Yue Liu, Chakkrit Tantithamthavorn, Yonghui Liu, Li Li
2024 J jnl
Protect Your Secrets: Understanding and Measuring Data Exposure in VSCode Extensions.
CoRR
Yue Liu, Chakkrit Tantithamthavorn, Li Li
2024 J jnl
Refining ChatGPT-Generated Code: Characterizing and Mitigating Code Quality Issues.
ACM Trans. Softw. Eng. Methodol.
Yue Liu, Thanh Le-Cong, Ratnadira Widyasari, Chakkrit Tantithamthavorn, Li Li, Xuan-Bach Dinh Le, David Lo
2023 J jnl
Deep Learning for Android Malware Defenses: A Systematic Literature Review.
ACM Comput. Surv.
Yue Liu, Chakkrit Tantithamthavorn, Li Li, Yepang Liu
2023 — conf
Detecting Temporal Inconsistency in Biased Datasets for Android Malware Detection.
ASEW
Haonan Hu, Yue Liu, Yanjie Zhao, Yonghui Liu, Xiaoyu Sun, Chakkrit Tantithamthavorn, Li Li
2023 J jnl
Large Language Models for Software Engineering: A Systematic Literature Review.
CoRR
Xinyi Hou, Yanjie Zhao, Yue Liu, Zhou Yang, Kailong Wang, Li Li, Xiapu Luo, David Lo, John C. Grundy, Haoyu Wang
2023 J jnl
On the Reliability and Explainability of Automated Code Generation Approaches.
CoRR
Yue Liu, Chakkrit Tantithamthavorn, Yonghui Liu, Li Li
2023 J jnl
Pitfalls in Language Models for Code Intelligence: A Taxonomy and Survey.
CoRR
Xinyu She, Yue Liu, Yanjie Zhao, Yiling He, Li Li, Chakkrit Tantithamthavorn, Zhan Qin, Haoyu Wang
2023 J jnl
Refining ChatGPT-Generated Code: Characterizing and Mitigating Code Quality Issues.
CoRR
Yue Liu, Thanh Le-Cong, Ratnadira Widyasari, Chakkrit Tantithamthavorn, Li Li, Xuan-Bach Dinh Le, David Lo
2022 J jnl
A Comparative Study of Smartphone and Smart TV Apps.
CoRR
Yonghui Liu, Xiao Chen, Yue Liu, Pingfan Kong, Tegawendé F. Bissyandé, Jacques Klein, Xiaoyu Sun, Chunyang Chen, John Grundy
2022 J jnl
AutoUpdate: Automatically Recommend Code Updates for Android Apps.
CoRR
Yue Liu, Chakkrit Tantithamthavorn, Yonghui Liu, Patanamon Thongtanunam, Li Li
2022 A conf
Explainable AI for Android Malware Detection: Towards Understanding Why the Models Perform So Well?
ISSRE
Yue Liu, Chakkrit Tantithamthavorn, Li Li, Yepang Liu
2022 J jnl
Explainable AI for Android Malware Detection: Towards Understanding Why the Models Perform So Well?
CoRR
Yue Liu, Chakkrit Tantithamthavorn, Li Li, Yepang Liu
2021 J jnl
Deep Learning for Android Malware Defenses: a Systematic Literature Review.
CoRR
Yue Liu, Chakkrit Tantithamthavorn, Li Li, Yepang Liu