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Wenhan Wang
Wenhan Wang
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Year
Detecting code clones with graph neural network and flow-augmented abstract syntax tree
W Wang, G Li, B Ma, X Xia, Z Jin
2020 IEEE 27th International Conference on Software Analysis, Evolution and …, 2020
2772020
The scope of chatgpt in software engineering: A thorough investigation
W Ma, S Liu, W Wang, Q Hu, Y Liu, C Zhang, L Nie, Y Liu
arXiv preprint arXiv:2305.12138, 2023
452023
Integrating tree path in transformer for code representation
H Peng, G Li, W Wang, Y Zhao, Z Jin
Advances in Neural Information Processing Systems 34, 9343-9354, 2021
452021
Modular tree network for source code representation learning
W Wang, G Li, S Shen, X Xia, Z Jin
ACM Transactions on Software Engineering and Methodology (TOSEM) 29 (4), 1-23, 2020
442020
Learning to represent programs with heterogeneous graphs
K Zhang, W Wang, H Zhang, G Li, Z Jin
Proceedings of the 30th IEEE/ACM international conference on program …, 2022
422022
Towards full-line code completion with neural language models
W Wang, S Shen, G Li, Z Jin
arXiv preprint arXiv:2009.08603, 2020
182020
Learning program representations with a tree-structured transformer
W Wang, K Zhang, G Li, S Liu, A Li, Z Jin, Y Liu
2023 IEEE International Conference on Software Analysis, Evolution and …, 2023
9*2023
Is self-attention powerful to learn code syntax and semantics
W Ma, M Zhao, X Xie, Q Hu, S Liu, J Zhang, W Wang, Y Liu
arXiv preprint arXiv:2212.10017, 2022
52022
Badedit: Backdooring large language models by model editing
Y Li, T Li, K Chen, J Zhang, S Liu, W Wang, T Zhang, Y Liu
arXiv preprint arXiv:2403.13355, 2024
22024
Are Code Pre-trained Models Powerful to Learn Code Syntax and Semantics?
W Ma, M Zhao, X Xie, Q Hu, S Liu, J Zhang, W Wang, Y Liu
arXiv preprint arXiv:2212.10017, 2022
22022
An Empirical Study on Noisy Label Learning for Program Understanding
W Wang, Y Li, A Li, J Zhang, W Ma, Y Liu
Proceedings of the IEEE/ACM 46th International Conference on Software …, 2024
2024
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Articles 1–11