| 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 | 465 | 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 | 235 | 2023 |
| 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 | 91 | 2024 |
| 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 | 88* | 2022 |
| 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 | 83 | 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 | 64 | 2020 |
| 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 | 62 | 2021 |
| 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 | 52* | 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 | 48 | 2022 |
| 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 | 47 | 2021 |
| A survey of large language models for code: Evolution, benchmarking, and future trends Z Zheng, K Ning, Y Wang, J Zhang, D Zheng, M Ye, J Chen arXiv preprint arXiv:2311.10372, 2023 | 45 | 2023 |
| Towards an understanding of large language models in software engineering tasks Z Zheng, K Ning, J Chen, Y Wang, W Chen, L Guo, W Wang arXiv preprint arXiv:2308.11396, 2023 | 40 | 2023 |
| 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 | 34 | 2022 |
| The expression problem, trivially! Y Wang, BCS Oliveira Proceedings of the 15th International Conference on Modularity, 37-41, 2016 | 34 | 2016 |
| 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 | 33 | 2021 |
| Make Heterophilic Graphs Better Fit GNN: A Graph Rewiring Approach W Bi, L Du, Q Fu, Y Wang, S Han, D Zhang IEEE Transactions on Knowledge and Data Engineering, 2024 | 31 | 2024 |
| 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 | 28 | 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 | 23 | 2022 |
| When chatgpt meets smart contract vulnerability detection: How far are we? C Chen, J Su, J Chen, Y Wang, T Bi, J Yu, Y Wang, X Lin, T Chen, ... arXiv preprint arXiv:2309.05520, 2023 | 20 | 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 | 20 | 2023 |
Dongmei ZhangMicrosoft ResearchVerified email at microsoft.com
