| 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 | 1032* | 2016 |
| 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 | 921 | 2021 |
| 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 | 861 | 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 | 837 | 2018 |
| Natural Language Inference by Tree-Based Convolution and Heuristic Matching L Mou, R Men, G Li, Y Xu, L Zhang, R Yan, Z Jin the 54th Annual Meeting of the Association for Computational Linguistics …, 2016 | 420 | 2016 |
| 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 | 376 | 2016 |
| Summarizing source code with transferred API knowledge X Hu, G Li, X Xia, D Lo, S Lu, Z Jin | 329 | 2018 |
| 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 | 304 | 2020 |
| 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 | 295 | 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 | 292 | 2016 |
| 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 | 282 | 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 | 255 | 2019 |
| Self-collaboration code generation via chatgpt Y Dong, X Jiang, Z Jin, G Li ACM Transactions on Software Engineering and Methodology 33 (7), 1-38, 2024 | 234 | 2024 |
| 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 | 223 | 2020 |
| 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 | 223* | 2015 |
| 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 | 160 | 2019 |
| 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 | 157 | 2015 |
| 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 | 146 | 2019 |
| Self-planning code generation with large language models X Jiang, Y Dong, L Wang, Z Fang, Q Shang, G Li, Z Jin, W Jiao ACM Transactions on Software Engineering and Methodology 33 (7), 1-30, 2024 | 143 | 2024 |
| 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 | 135 | 2020 |
