Convolutional neural networks over tree structures for programming language processing L Mou, G Li, L Zhang, T Wang, Z Jin Thirtieth AAAI conference on artificial intelligence, 2016 | 683* | 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 | 675 | 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 | 461 | 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 arXiv preprint arXiv:1512.08422, 2015 | 356 | 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 | 315 | 2016 |
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 | 250 | 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 | 242 | 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 | 189 | 2021 |
Summarizing source code with transferred api knowledge X Hu, G Li, X Xia, D Lo, S Lu, Z Jin | 180 | 2018 |
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 | 170* | 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 | 152 | 2015 |
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 | 139 | 2020 |
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 | 127 | 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 | 122 | 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 | 104 | 2012 |
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 | 102 | 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 | 81 | 2019 |
An exploratory study of web services on the internet Y Li, Y Liu, L Zhang, G Li, B Xie, J Sun IEEE International Conference on Web Services (ICWS 2007), 380-387, 2007 | 79 | 2007 |
A metamodel for the notation of graphical modeling languages X He, Z Ma, W Shao, G Li 31st Annual International Computer Software and Applications Conference …, 2007 | 62 | 2007 |
Unsupervised deep bug report summarization X Li, H Jiang, D Liu, Z Ren, G Li Proceedings of the 26th Conference on Program Comprehension, 144-155, 2018 | 60 | 2018 |