| Inferring program transformations from singular examples via big code J Jiang, L Ren, Y Xiong, L Zhang 2019 34th IEEE/ACM International Conference on Automated Software …, 2019 | 86 | 2019 |
| Detecting numerical bugs in neural network architectures Y Zhang, L Ren, L Chen, Y Xiong, SC Cheung, T Xie Proceedings of the 28th ACM Joint Meeting on European Software Engineering …, 2020 | 60 | 2020 |
| Identifying redundancies in fork-based development L Ren, S Zhou, C Kästner, A Wąsowski 2019 IEEE 26th International conference on software analysis, evolution and …, 2019 | 42 | 2019 |
| GDsmith: Detecting bugs in Cypher graph database engines Z Hua, W Lin, L Ren, Z Li, L Zhang, W Jiao, T Xie Proceedings of the 32nd ACM SIGSOFT International Symposium on Software …, 2023 | 23* | 2023 |
| Automated Patch Porting across Forked Projects L Ren | 12 | 2019 |
| Forks insight: Providing an overview of github forks L Ren, S Zhou, C Kästner Proceedings of the 40th International Conference on Software Engineering …, 2018 | 12 | 2018 |
| Programming by Example Made Easy J Wu, L Wei, Y Jiang, SC Cheung, L Ren, C Xu ACM Transactions on Software Engineering and Methodology 33 (1), 1-36, 2023 | 4 | 2023 |
| Reliability assurance for deep neural network architectures against numerical defects L Li, Y Zhang, L Ren, Y Xiong, T Xie 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023 | 3 | 2023 |
| Effective Random Test Generation for Deep Learning Compilers L Ren, ZH Wang, Y Xiong, L Zhang, G Jiang, T Xie arXiv preprint arXiv:2302.00842, 2023 | 1 | 2023 |
| Validity-Preserving Delta Debugging via Generator Trace Reduction L Ren, X Zhang, Z Hua, Y Jiang, X He, Y Xiong, T Xie arXiv preprint arXiv:2402.04623, 2024 | | 2024 |
