Yue Liu

According to our database, Yue Liu authored at least 19 papers between 2022 and 2026.

Collaborative distances:

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

2026

How Agentic AI Coding Assistants Become the Attacker's Shell.

Yue Liu, Yanjie Zhao, Yunbo Lyu, Ting Zhang, Haoyu Wang, David Lo

CoRR, May, 2026

TitanCA: Lessons from Orchestrating LLM Agents to Discover 100+ CVEs.

Ting Zhang, Yikun Li, Chengran Yang, Ratnadira Widyasari, Yue Liu, Ngoc Tan Bui, Thanh Phuc Nguyen, Yan Naing Tun, Ivana Clairine Irsan, Huu Hung Nguyen, Huihui Huang, Jinfeng Jiang, Lwin Khin Shar, Eng Lieh Ouh, David Lo, Hong Jin Kang, Yide Yin, Wen Bin Leow

CoRR, April, 2026

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

ACM Trans. Softw. Eng. Methodol., March, 2026

Debt Behind the AI Boom: A Large-Scale Empirical Study of AI-Generated Code in the Wild.

Yue Liu, Ratnadira Widyasari, Yanjie Zhao, Ivana Clairine Irsan, David Lo

CoRR, March, 2026

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

"Your AI, My Shell": Demystifying Prompt Injection Attacks on Agentic AI Coding Editors.

Yue Liu, Yanjie Zhao, Yunbo Lyu, Ting Zhang, Haoyu Wang, David Lo

CoRR, September, 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

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

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

Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

COmmitSHield: Tracking Vulnerability Introduction and Fix in Version Control Systems.

Zhaonan Wu, Yanjie Zhao, Chen Wei, Zirui Wan, Yue Liu, Haoyu Wang

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 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

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