| On the effectiveness of large language models in domain-specific code generation X Gu, M Chen, Y Lin, Y Hu, H Zhang, C Wan, Z Wei, Y Xu, J Wang ACM Transactions on Software Engineering and Methodology 34 (3), 1-22, 2025 | 98 | 2025 |
| {ALERT}: Accurate learning for energy and timeliness C Wan, M Santriaji, E Rogers, H Hoffmann, M Maire, S Lu 2020 USENIX annual technical conference (USENIX ATC 20), 353-369, 2020 | 75 | 2020 |
| Are machine learning cloud apis used correctly? C Wan, S Liu, H Hoffmann, M Maire, S Lu 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021 | 55 | 2021 |
| SMOPAT: Mining semantic mobility patterns from trajectories of private vehicles C Wan, Y Zhu, J Yu, Y Shen Information Sciences 429, 12-25, 2018 | 44 | 2018 |
| Automated Testing of Software that Uses Machine Learning APIs C Wan, S Liu, S Xie, Y Liu, H Hoffmann, M Maire, S Lu 44th International Conference on Software Engineering (ICSE'22), 2022 | 41 | 2022 |
| Hotgpt: How to make software documentation more useful with a large language model? Y Su, C Wan, U Sethi, S Lu, M Musuvathi, S Nath Proceedings of the 19th Workshop on Hot Topics in Operating Systems, 87-93, 2023 | 38 | 2023 |
| From code to correctness: Closing the last mile of code generation with hierarchical debugging Y Shi, S Wang, C Wan, M Wang, X Gu arXiv preprint arXiv:2410.01215, 2024 | 35 | 2024 |
| View-centric performance optimization for database-backed web applications J Yang, C Yan, C Wan, S Lu, A Cheung 2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE …, 2019 | 31 | 2019 |
| An empirical study on recovering requirement-to-code links Y Zhang, C Wan, B Jin 2016 17th IEEE/ACIS International Conference on Software Engineering …, 2016 | 26 | 2016 |
| Towards understanding retrieval accuracy and prompt quality in rag systems S Zhao, Y Huang, J Song, Z Wang, C Wan, L Ma arXiv preprint arXiv:2411.19463, 2024 | 22 | 2024 |
| Between lines of code: Unraveling the distinct patterns of machine and human programmers Y Shi, H Zhang, C Wan, X Gu arXiv preprint arXiv:2401.06461, 2024 | 20 | 2024 |
| Gencog: A dsl-based approach to generating computation graphs for tvm testing Z Wang, P Nie, X Miao, Y Chen, C Wan, L Bu, J Zhao Proceedings of the 32nd ACM SIGSOFT International Symposium on Software …, 2023 | 20 | 2023 |
| Hierarchical memory-constrained operator scheduling of neural architecture search networks Z Wang, C Wan, Y Chen, Z Lin, H Jiang, L Qiao Proceedings of the 59th ACM/IEEE Design Automation Conference, 493-498, 2022 | 19 | 2022 |
| Orthogonalized SGD and nested architectures for anytime neural networks C Wan, H Hoffmann, S Lu, M Maire International Conference on Machine Learning, 9807-9817, 2020 | 18 | 2020 |
| Guided, deep testing of X. 509 certificate validation via coverage transfer graphs J Zhu, C Wan, P Nie, Y Chen, Z Su 2020 IEEE International Conference on Software Maintenance and Evolution …, 2020 | 17 | 2020 |
| Self-supervised query reformulation for code search Y Mao, C Wan, Y Jiang, X Gu Proceedings of the 31st acm joint european software engineering conference …, 2023 | 15 | 2023 |
| Are LLMs Correctly Integrated into Software Systems? Y Shao, Y Huang, J Shen, L Ma, T Su, C Wan arXiv preprint arXiv:2407.05138, 2024 | 13 | 2024 |
| On the effectiveness of large language models in domain-specific code generation M Chen, H Zhang, C Wan, Z Wei, Y Xu, J Wang, X Gu CoRR, 2023 | 13 | 2023 |
| A Study of In-Context-Learning-Based Text-to-SQL Errors J Shen, C Wan, R Qiao, J Zou, H Xu, Y Shao, Y Zhang, W Miao, G Pu arXiv preprint arXiv:2501.09310, 2025 | 11 | 2025 |
| Doppler: automated SKU recommendation in migrating SQL workloads to the cloud J Cahoon, W Wang, Y Zhu, K Lin, S Liu, R Truong, N Singh, C Wan, ... arXiv preprint arXiv:2208.04978, 2022 | 11 | 2022 |
