Bozhi Wu

According to our database, Bozhi Wu authored at least 8 papers between 2018 and 2023.

Collaborative distances:

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

2023

Logic-guided Deep Reinforcement Learning for Stock Trading.

Zhiming Li, Junzhe Jiang, Yushi Cao, Aixin Cui, Bozhi Wu, Bo Li, Yang Liu

CoRR, 2023

Learning Program Semantics for Vulnerability Detection via Vulnerability-Specific Inter-procedural Slicing.

Bozhi Wu, Shangqing Liu, Yang Xiao, Zhiming Li, Jun Sun, Shang-Wei Lin

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

ContraBERT: Enhancing Code Pre-trained Models via Contrastive Learning.

Shangqing Liu, Bozhi Wu, Xiaofei Xie, Guozhu Meng, Yang Liu

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022

Enhancing Security Patch Identification by Capturing Structures in Commits.

Bozhi Wu, Shangqing Liu, Ruitao Feng, Xiaofei Xie, Jing Kai Siow, Shang-Wei Lin

CoRR, 2022

Unveiling Project-Specific Bias in Neural Code Models.

Zhiming Li, Yanzhou Li, Tianlin Li, Mengnan Du, Bozhi Wu, Yushi Cao, Xiaofei Xie, Yi Li, Yang Liu

CoRR, 2022

2021

Why an Android App Is Classified as Malware: Toward Malware Classification Interpretation.

Bozhi Wu, Sen Chen, Cuiyun Gao, Lingling Fan, Yang Liu, Weiping Wen, Michael R. Lyu

ACM Trans. Softw. Eng. Methodol., 2021

2020

Why an Android App is Classified as Malware? Towards Malware Classification Interpretation.

Bozhi Wu, Sen Chen, Cuiyun Gao, Lingling Fan, Yang Liu, Weiping Wen, Michael R. Lyu

CoRR, 2020

2018

Android Malware Detection Method Based on Frequent Pattern and Weighted Naive Bayes.

Jingwei Li, Bozhi Wu, Weiping Wen

Proceedings of the Cyber Security - 15th International Annual Conference, 2018