Yanlin Wang
Yanlin Wang
Preverjeni e-poštni naslov na mail.sysu.edu.cn - Domača stran
Unixcoder: Unified cross-modal pre-training for code representation
D Guo, S Lu, N Duan, Y Wang, M Zhou, J Yin
arXiv preprint arXiv:2203.03850, 2022
Agieval: A human-centric benchmark for evaluating foundation models
W Zhong, R Cui, Y Guo, Y Liang, S Lu, Y Wang, A Saied, W Chen, ...
arXiv preprint arXiv:2304.06364, 2023
On the evaluation of neural code summarization
E Shi, Y Wang, L Du, J Chen, S Han, H Zhang, D Zhang, H Sun
Proceedings of the 44th international conference on software engineering …, 2022
Memorybank: Enhancing large language models with long-term memory
W Zhong, L Guo, Q Gao, H Ye, Y Wang
Proceedings of the AAAI Conference on Artificial Intelligence 38 (17), 19724 …, 2024
Code completion by modeling flattened abstract syntax trees as graphs
Y Wang, H Li
Proceedings of the AAAI conference on artificial intelligence 35 (16), 14015 …, 2021
Cast: Enhancing code summarization with hierarchical splitting and reconstruction of abstract syntax trees
E Shi, Y Wang, L Du, H Zhang, S Han, D Zhang, H Sun
arXiv preprint arXiv:2108.12987, 2021
Multi-task learning for recommendation over heterogeneous information network
H Li, Y Wang, Z Lyu, J Shi
IEEE Transactions on Knowledge and Data Engineering 34 (2), 789-802, 2020
Cocosum: Contextual code summarization with multi-relational graph neural network
Y Wang, E Shi, L Du, X Yang, Y Hu, S Han, H Zhang, D Zhang
arXiv preprint arXiv:2107.01933, 2021
On the Evaluation of Commit Message Generation Models: An Experimental Study
W Tao, Y Wang, E Shi, L Du, H Zhang, D Zhang, W Zhang
In 37th International Conference on Software Maintenance and Evolution. (ICSME), 2021
No one left behind: Inclusive federated learning over heterogeneous devices
R Liu, F Wu, C Wu, Y Wang, L Lyu, H Chen, X Xie
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
The expression problem, trivially!
Y Wang, BCS Oliveira
Proceedings of the 15th International Conference on Modularity, 37-41, 2016
Race: Retrieval-augmented commit message generation
E Shi, Y Wang, W Tao, L Du, H Zhang, S Han, D Zhang, H Sun
arXiv preprint arXiv:2203.02700, 2022
Is a single model enough? mucos: A multi-model ensemble learning approach for semantic code search
L Du, X Shi, Y Wang, E Shi, S Han, D Zhang
Proceedings of the 30th ACM International Conference on Information …, 2021
Towards efficient fine-tuning of pre-trained code models: An experimental study and beyond
E Shi, Y Wang, H Zhang, L Du, S Han, D Zhang, H Sun
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software …, 2023
Cocosoda: Effective contrastive learning for code search
E Shi, Y Wang, W Gu, L Du, H Zhang, S Han, D Zhang, H Sun
2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023
Libdb: An effective and efficient framework for detecting third-party libraries in binaries
W Tang, Y Wang, H Zhang, S Han, P Luo, D Zhang
Proceedings of the 19th International Conference on Mining Software …, 2022
Exploring representation-level augmentation for code search
H Li, C Miao, C Leung, Y Huang, Y Huang, H Zhang, Y Wang
arXiv preprint arXiv:2210.12285, 2022
A large-scale empirical study of commit message generation: models, datasets and evaluation
W Tao, Y Wang, E Shi, L Du, S Han, H Zhang, D Zhang, W Zhang
Empirical Software Engineering 27 (7), 198, 2022
Accelerating code search with deep hashing and code classification
W Gu, Y Wang, L Du, H Zhang, S Han, D Zhang, MR Lyu
arXiv preprint arXiv:2203.15287, 2022
Revisiting code search in a two-stage paradigm
F Hu, Y Wang, L Du, X Li, H Zhang, S Han, D Zhang
Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023
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