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2020 – today
- 2024
[c6]Zhiming Li, Yanzhou Li, Tianlin Li, Mengnan Du, Bozhi Wu, Yushi Cao, Junzhe Jiang, Yang Liu:
Unveiling Project-Specific Bias in Neural Code Models. LREC/COLING 2024: 17205-17216- [c5]Zhiming Li, Junzhe Jiang, Yushi Cao, Aixin Cui, Bozhi Wu, Bo Li, Yang Liu:
Logic-guided Deep Reinforcement Learning for Stock Trading. Tiny Papers @ ICLR 2024 - [c4]Zhiming Li, Yushi Cao, Yan Zheng, Xu Liu, Bozhi Wu, Tianlin Li, Xiufeng Xu, Junzhe Jiang, Yon Shin Teo, Shang-Wei Lin, Yang Liu:
Improving Neural Logic Machines via Failure Reflection. ICML 2024 - 2023
- [c3]Shangqing Liu, Bozhi Wu, Xiaofei Xie
, Guozhu Meng, Yang Liu:
ContraBERT: Enhancing Code Pre-trained Models via Contrastive Learning. ICSE 2023: 2476-2487 - [c2]Bozhi Wu, Shangqing Liu, Yang Xiao, Zhiming Li, Jun Sun, Shang-Wei Lin:
Learning Program Semantics for Vulnerability Detection via Vulnerability-Specific Inter-procedural Slicing. ESEC/SIGSOFT FSE 2023: 1371-1383 - [i5]Shangqing Liu, Bozhi Wu, Xiaofei Xie, Guozhu Meng, Yang Liu:
ContraBERT: Enhancing Code Pre-trained Models via Contrastive Learning. CoRR abs/2301.09072 (2023) - [i4]Zhiming Li, Junzhe Jiang, Yushi Cao, Aixin Cui, Bozhi Wu, Bo Li, Yang Liu:
Logic-guided Deep Reinforcement Learning for Stock Trading. CoRR abs/2310.05551 (2023) - 2022
- [i3]Zhiming Li, Yanzhou Li, Tianlin Li, Mengnan Du, Bozhi Wu, Yushi Cao, Xiaofei Xie, Yi Li, Yang Liu:
Unveiling Project-Specific Bias in Neural Code Models. CoRR abs/2201.07381 (2022) - [i2]Bozhi Wu, Shangqing Liu, Ruitao Feng, Xiaofei Xie, Jing Kai Siow, Shang-Wei Lin:
Enhancing Security Patch Identification by Capturing Structures in Commits. CoRR abs/2207.09022 (2022) - 2021
- [j1]Bozhi Wu, Sen Chen, Cuiyun Gao, Lingling Fan, Yang Liu, Weiping Wen, Michael R. Lyu:
Why an Android App Is Classified as Malware: Toward Malware Classification Interpretation. ACM Trans. Softw. Eng. Methodol. 30(2): 21:1-21:29 (2021) - 2020
- [i1]Bozhi Wu, Sen Chen, Cuiyun Gao, Lingling Fan, Yang Liu, Weiping Wen, Michael R. Lyu:
Why an Android App is Classified as Malware? Towards Malware Classification Interpretation. CoRR abs/2004.11516 (2020)
2010 – 2019
- 2018
- [c1]Jingwei Li, Bozhi Wu, Weiping Wen:
Android Malware Detection Method Based on Frequent Pattern and Weighted Naive Bayes. CNCERT 2018: 36-51
Coauthor Index
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