Chenyu Wang

According to our database, Chenyu Wang authored at least 7 papers between 2023 and 2025.

Collaborative distances:

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

2025

Which Factors Make Code LLMs More Vulnerable to Backdoor Attacks? A Systematic Study.

Chenyu Wang, Zhou Yang, Yaniv Harel, David Lo

CoRR, June, 2025

2024

Gotcha! This Model Uses My Code! Evaluating Membership Leakage Risks in Code Models.

Zhou Yang, Zhipeng Zhao, Chenyu Wang, Jieke Shi, Dongsun Kim, DongGyun Han, David Lo

IEEE Trans. Software Eng., December, 2024

Quality Assurance for Artificial Intelligence: A Study of Industrial Concerns, Challenges and Best Practices.

Chenyu Wang, Zhou Yang, Ze Shi Li, Daniela E. Damian, David Lo

CoRR, 2024

Unveiling Memorization in Code Models.

Zhou Yang, Zhipeng Zhao, Chenyu Wang, Jieke Shi, Dongsun Kim, DongGyun Han, David Lo

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023

What Do Code Models Memorize? An Empirical Study on Large Language Models of Code.

Zhou Yang, Zhipeng Zhao, Chenyu Wang, Jieke Shi, Dongsun Kim, DongGyun Han, David Lo

CoRR, 2023

What Do Users Ask in Open-Source AI Repositories? An Empirical Study of GitHub Issues.

Zhou Yang, Chenyu Wang, Jieke Shi, Thong Hoang, Pavneet Singh Kochhar, Qinghua Lu, Zhenchang Xing, David Lo

Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

Are We Ready to Embrace Generative AI for Software Q&A?

Bowen Xu, Thanh-Dat Nguyen, Thanh Le-Cong, Thong Hoang, Jiakun Liu, Kisub Kim, Chen Gong, Changan Niu, Chenyu Wang, Bach Le, David Lo

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