Seuraa
Wenhan Wang
Wenhan Wang
University of Alberta
Vahvistettu sähköpostiosoite verkkotunnuksessa ualberta.ca
Nimike
Viittaukset
Viittaukset
Vuosi
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
3282020
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
822023
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
672022
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
532021
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
532020
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
482024
Towards full-line code completion with neural language models
W Wang, S Shen, G Li, Z Jin
arXiv preprint arXiv:2009.08603, 2020
222020
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
16*2023
Unveiling code pre-trained models: Investigating syntax and semantics capacities
W Ma, S Liu, M Zhao, X Xie, W Wang, Q Hu, J Zhang, Y Liu
ACM Transactions on Software Engineering and Methodology 33 (7), 1-29, 2024
142024
LMs: Understanding Code Syntax and Semantics for Code Analysis
W Ma, S Liu, Z Lin, W Wang, Q Hu, Y Liu, C Zhang, L Nie, L Li, Y Liu
arXiv preprint arXiv:2305.12138, 2023
132023
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
13*2022
TESTEVAL: Benchmarking Large Language Models for Test Case Generation
W Wang, C Yang, Z Wang, Y Huang, Z Chu, D Song, L Zhang, AR Chen, ...
arXiv preprint arXiv:2406.04531, 2024
102024
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
32024
Python Symbolic Execution with LLM-powered Code Generation
W Wang, K Liu, AR Chen, G Li, Z Jin, G Huang, L Ma
arXiv preprint arXiv:2409.09271, 2024
12024
Fine-grained Testing for Autonomous Driving Software: a Study on Autoware with LLM-driven Unit Testing
W Wang, X Xie, Y Huang, R Wang, AR Chen, L Ma
arXiv preprint arXiv:2501.09866, 2025
2025
VulAdvisor: Natural Language Suggestion Generation for Software Vulnerability Repair
J Zhang, C Wang, A Li, W Wang, T Li, Y Liu
Proceedings of the 39th IEEE/ACM International Conference on Automated …, 2024
2024
Federated Graph Learning with Adaptive Importance-based Sampling
A Li, Y Chen, C Ren, W Wang, M Hu, T Li, H Yu, Q Chen
arXiv preprint arXiv:2409.14655, 2024
2024
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