| Convolutional neural networks over tree structures for programming language processing L Mou, G Li, L Zhang, T Wang, Z Jin Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016 | 924* | 2016 |
| Classifying relations via long short term memory networks along shortest dependency paths Y Xu, L Mou, G Li, Y Chen, H Peng, Z Jin Proceedings of the 2015 conference on empirical methods in natural language …, 2015 | 814 | 2015 |
| Deep code comment generation X Hu, G Li, X Xia, D Lo, Z Jin Proceedings of the 26th conference on program comprehension, 200-210, 2018 | 680 | 2018 |
| Codexglue: A machine learning benchmark dataset for code understanding and generation S Lu, D Guo, S Ren, J Huang, A Svyatkovskiy, A Blanco, C Clement, ... arXiv preprint arXiv:2102.04664, 2021 | 538 | 2021 |
| Natural language inference by tree-based convolution and heuristic matching L Mou, R Men, G Li, Y Xu, L Zhang, R Yan, Z Jin arXiv preprint arXiv:1512.08422, 2015 | 397 | 2015 |
| How transferable are neural networks in nlp applications? L Mou, Z Meng, R Yan, G Li, Y Xu, L Zhang, Z Jin arXiv preprint arXiv:1603.06111, 2016 | 357 | 2016 |
| Summarizing source code with transferred api knowledge X Hu, G Li, X Xia, D Lo, S Lu, Z Jin | 290 | 2018 |
| Sequence to backward and forward sequences: A content-introducing approach to generative short-text conversation L Mou, Y Song, R Yan, G Li, L Zhang, Z Jin arXiv preprint arXiv:1607.00970, 2016 | 280 | 2016 |
| Improved relation classification by deep recurrent neural networks with data augmentation Y Xu, R Jia, L Mou, G Li, Y Chen, Y Lu, Z Jin arXiv preprint arXiv:1601.03651, 2016 | 271 | 2016 |
| 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 | 258 | 2020 |
| Deep code comment generation with hybrid lexical and syntactical information X Hu, G Li, X Xia, D Lo, Z Jin Empirical Software Engineering 25, 2179-2217, 2020 | 229 | 2020 |
| Code generation as a dual task of code summarization B Wei, G Li, X Xia, Z Fu, Z Jin Advances in neural information processing systems 32, 2019 | 210 | 2019 |
| Building program vector representations for deep learning H Peng, L Mou, G Li, Y Liu, L Zhang, Z Jin Knowledge Science, Engineering and Management: 8th International Conference …, 2015 | 204* | 2015 |
| Discriminative neural sentence modeling by tree-based convolution L Mou, H Peng, G Li, Y Xu, L Zhang, Z Jin arXiv preprint arXiv:1504.01106, 2015 | 159 | 2015 |
| Multi-task learning based pre-trained language model for code completion F Liu, G Li, Y Zhao, Z Jin Proceedings of the 35th IEEE/ACM International Conference on Automated …, 2020 | 155 | 2020 |
| Neural detection of semantic code clones via tree-based convolution H Yu, W Lam, L Chen, G Li, T Xie, Q Wang 2019 IEEE/ACM 27th International Conference on Program Comprehension (ICPC …, 2019 | 138 | 2019 |
| A grammar-based structural cnn decoder for code generation Z Sun, Q Zhu, L Mou, Y Xiong, G Li, L Zhang Proceedings of the AAAI conference on artificial intelligence 33 (01), 7055-7062, 2019 | 129 | 2019 |
| Modeling and analyzing the reliability and cost of service composition in the IoT: A probabilistic approach L Li, Z Jin, G Li, L Zheng, Q Wei 2012 IEEE 19th International Conference on Web Services, 584-591, 2012 | 115 | 2012 |
| Retrieve and refine: exemplar-based neural comment generation B Wei, Y Li, G Li, X Xia, Z Jin Proceedings of the 35th IEEE/ACM International Conference on Automated …, 2020 | 108 | 2020 |
| Generating adversarial examples for holding robustness of source code processing models H Zhang, Z Li, G Li, L Ma, Y Liu, Z Jin Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 1169-1176, 2020 | 89 | 2020 |
Zhi JinProfessor, Peking UniversityBestätigte E-Mail-Adresse bei pku.edu.cn
