Bozhi Wu

According to our database, Bozhi Wu authored at least 14 papers between 2018 and 2026.

Collaborative distances:

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

2026

Shift-Left Requirements Verification: Integrating LLMs and Formal Methods for Automotive Systems.

Zi Pong Lim, Bozhi Wu, Yon Shin Teo, Shang-Wei Lin, Yi Li

Proceedings of the Formal Methods - 27th International Symposium, 2026

Learning More from Less: Exploiting Counterfactuals for Data-Efficient Chart Understanding.

Jianzhu Bao, Haozhen Zhang, Kuicai Dong, Bozhi Wu, Sarthak Ketanbhai Modi, Zi Pong Lim, Yon Shin Teo, Wenya Wang

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Enhancing Vulnerability Detection via Inter-procedural Semantic Completion.

Bozhi Wu, Chengjie Liu, Zhiming Li, Yushi Cao, Jun Sun, Shangwei Lin

Proc. ACM Softw. Eng., 2025

Logic-Q: Improving Deep Reinforcement Learning-based Quantitative Trading via Program Sketch-based Tuning.

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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Improving Neural Logic Machines via Failure Reflection.

Zhiming Li, Yushi Cao, Yan Zheng, Xu Liu, Bozhi Wu, Tianlin Li, Xiufeng Xu, Junzhe Jiang, Yon Shin Teo, Shang-Wei Lin, Yang Liu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Logic-guided Deep Reinforcement Learning for Stock Trading.

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

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Unveiling Project-Specific Bias in Neural Code Models.

Zhiming Li, Yanzhou Li, Tianlin Li, Mengnan Du, Bozhi Wu, Yushi Cao, Junzhe Jiang, Yang Liu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

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