Chen, Zhenyu

How does code style inconsistency affect pull request integration? An exploratory study on 117 GitHub projects

Zou, W., Xuan, J., Xie, X., Chen, Z., & Xu, B. (2019) · Empirical Software Engineering

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 37

Token-Budget-Aware LLM Reasoning

Han, T., Wang, Z., Fang, C., Zhao, S., Ma, S., & Chen, Z. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 31

Token-Budget-Aware LLM Reasoning

Han, T., Wang, Z., Fang, C., Zhao, S., Ma, S., & Chen, Z. (2025) · Findings of the Association for Computational Linguistics: ACL 2025

Topic ModelingNatural Language Processing Techniques

Cited by 31

From Data Quality to Model Quality: An Exploratory Study on Deep Learning

He, T., Yu, S., Wang, Z., Li, J., & Chen, Z. (2019) · Proceedings of the 11th Asia-Pacific Symposium on Internetware

Machine Learning and Data ClassificationAdvanced Neural Network Applications

Cited by 24

Security of Language Models for Code: A Systematic Literature Review

Chen, Y., Sun, W., Fang, C., Chen, Z., Ge, Y., Han, T., Zhang, Q., Liu, Y., Chen, Z., & Xu, B. (2026) · ACM Transactions on Software Engineering and Methodology

Adversarial Robustness in Machine LearningSoftware Engineering Research

Cited by 10

Demonstration Attack against In-Context Learning for Code Intelligence

Ge, Y., Sun, W., Lou, Y., Fang, C., Zhang, Y., Li, Y., Zhang, X., Liu, Y., Zhao, Z., & Chen, Z. (2024) · arXiv

Adversarial Robustness in Machine LearningSoftware Engineering Research

Cited by 0