| CoditT5: Pretraining for Source Code and Natural Language Editing J Zhang, S Panthaplackel, P Nie, JJ Li, M Gligoric Proceedings of the 37th IEEE/ACM International Conference on Automated …, 2022 | 57 | 2022 |
| Impact of evaluation methodologies on code summarization P Nie, J Zhang, JJ Li, RJ Mooney, M Gligoric Proceedings of the 60th Annual Meeting of the Association for Computational …, 0 | 18* | |
| Using Large-scale Heterogeneous Graph Representation Learning for Code Review Recommendations at Microsoft J Zhang, C Maddila, R Bairi, C Bird, U Raizada, A Agrawal, Y Jhawar, ... 2023 IEEE/ACM 45th International Conference on Software Engineering …, 2023 | 8 | 2023 |
| Multilingual code co-evolution using large language models J Zhang, P Nie, JJ Li, M Gligoric Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023 | 7 | 2023 |
| Comparing and Combining Analysis-Based and Learning-Based Regression Test Selection J Zhang, Y Liu, M Gligoric, O Legunsen, A Shi 2022 IEEE/ACM International Conference on Automation of Software Test (AST …, 2022 | 6 | 2022 |
| Learning to Generate Code Comments from Class Hierarchies J Zhang, S Panthaplackel, P Nie, RJ Mooney, JJ Li, M Gligoric arXiv preprint arXiv:2103.13426, 2021 | 5 | 2021 |
| More precise regression test selection via reasoning about semantics-modifying changes Y Liu, J Zhang, P Nie, M Gligoric, O Legunsen Proceedings of the 32nd ACM SIGSOFT International Symposium on Software …, 2023 | 3 | 2023 |
| Python-by-contract dataset J Zhang, M Ristin, P Schanely, HW van de Venn, M Gligoric Proceedings of the 30th ACM Joint European Software Engineering Conference …, 2022 | 1 | 2022 |
| Integrated Learning of Features and Ranking Function in Information Retrieval Y Nie, J Zhang, JY Nie Proceedings of the 2019 ACM SIGIR International Conference on Theory of …, 2019 | 1 | 2019 |
