| Coconut: combining context-aware neural translation models using ensemble for program repair T Lutellier, HV Pham, L Pang, Y Li, M Wei, L Tan Proceedings of the 29th ACM SIGSOFT international symposium on software …, 2020 | 301 | 2020 |
| CLEAR: contrastive learning for API recommendation M Wei, NS Harzevili, Y Huang, J Wang, S Wang Proceedings of the 44th International Conference on Software Engineering …, 2022 | 34 | 2022 |
| Automatic unit test generation for machine learning libraries: How far are we? S Wang, N Shrestha, AK Subburaman, J Wang, M Wei, N Nagappan 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021 | 33 | 2021 |
| Encore: Ensemble learning using convolution neural machine translation for automatic program repair T Lutellier, L Pang, VH Pham, M Wei, L Tan arXiv preprint arXiv:1906.08691, 2019 | 26 | 2019 |
| CoCoFuzzing: Testing Neural Code Models With Coverage-Guided Fuzzing M Wei, Y Huang, J Yang, J Wang, S Wang IEEE Transactions on Reliability, 2022 | 14 | 2022 |
| API recommendation for machine learning libraries: how far are we? M Wei, Y Huang, J Wang, J Shin, NS Harzevili, S Wang Proceedings of the 30th ACM Joint European Software Engineering Conference …, 2022 | 4 | 2022 |
| Yet another combination of ir-and neural-based comment generation H Yuchao, W Moshi, W Song, W Junjie, W Qing arXiv preprint arXiv:2107.12938, 2021 | 4 | 2021 |
| SkipAnalyzer: An Embodied Agent for Code Analysis with Large Language Models MM Mohajer, R Aleithan, NS Harzevili, M Wei, AB Belle, HV Pham, ... arXiv preprint arXiv:2310.18532, 2023 | 3 | 2023 |
| Yet another combination of IR-and neural-based comment generation Y Huang, M Wei, S Wang, J Wang, Q Wang Information and Software Technology 152, 107001, 2022 | 3 | 2022 |
| The good, the bad, and the missing: Neural code generation for machine learning tasks J Shin, M Wei, J Wang, L Shi, S Wang ACM Transactions on Software Engineering and Methodology 33 (2), 1-24, 2023 | 2 | 2023 |
| Dynamic Encoding and Decoding of Information for Split Learning in Mobile-Edge Computing: Leveraging Information Bottleneck Theory O Alhussein, M Wei, A Akhavain GLOBECOM 2023-2023 IEEE Global Communications Conference, 4625-4631, 2023 | 2 | 2023 |
| CLEAR: Contrastive Learning for API Recommendation. In 2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE) M Wei, NS Harzevili, Y Huang, J Wang, S Wang IEEE, 2022 | 2 | 2022 |
| Demystifying and Detecting Misuses of Deep Learning APIs M Wei, NS Harzevili, YK Huang, J Yang, J Wang, S Wang Proceedings of the IEEE/ACM 46th International Conference on Software …, 2024 | 1 | 2024 |
| Abstraction mechanism on neural machine translation models for automated program repair M Wei University of Waterloo, 2019 | 1 | 2019 |
| A Survey on Query-based API Recommendation M Wei, NS Harzevili, AB Belle, J Wang, L Shi, S Wang, ZM Jiang arXiv preprint arXiv:2312.10623, 2023 | | 2023 |
| Assessing Evaluation Metrics for Neural Test Oracle Generation J Shin, H Hemmati, M Wei, S Wang arXiv preprint arXiv:2310.07856, 2023 | | 2023 |
| SkipAnalyzer: An Embodied Agent for Code Analysis with Large Language Models M Mahdi Mohajer, R Aleithan, N Shiri Harzevili, M Wei, A Boaye Belle, ... arXiv e-prints, arXiv: 2310.18532, 2023 | | 2023 |
| Automatic Unit Test Generation for Deep Learning Frameworks based on API Knowledge A Narayanan, J Wang, L Shi, M Wei, S Wang arXiv preprint arXiv:2307.00404, 2023 | | 2023 |
