{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 | 64 | 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 | 45 | 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 | 42 | 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 | 31 | 2022 |
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 | 27 | 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 | 24 | 2016 |
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 | 23 | 2023 |
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 | 17 | 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 | 16 | 2020 |
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, 2024 | 15 | 2024 |
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 | 15 | 2022 |
Evaluating quality-in-use of FLOSS through analyzing user reviews Z Qian, C Wan, Y Chen 2016 17th IEEE/ACIS International Conference on Software Engineering
, 2016 | 12 | 2016 |
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 | 9 | 2022 |
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 | 8 | 2023 |
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 | 6 | 2023 |
Coverage-directed Differential Testing of X. 509 Certificate Validation in SSL/TLS Implementations P Nie, C Wan, J Zhu, Z Lin, Y Chen, Z Su ACM Transactions on Software Engineering and Methodology 32 (1), 1-32, 2023 | 6 | 2023 |
Are machine learning cloud apis used correctly?. In 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE) C Wan, S Liu, H Hoffmann, M Maire, S Lu IEEE, 2021 | 5 | 2021 |
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 | 4 | 2024 |
From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging Y Shi, S Wang, C Wan, X Gu arXiv preprint arXiv:2410.01215, 2024 | 3 | 2024 |
Run-Time Prevention of Software Integration Failures of Machine Learning APIs C Wan, Y Liu, K Du, H Hoffmann, J Jiang, M Maire, S Lu Proceedings of the ACM on Programming Languages 7 (OOPSLA2), 264-291, 2023 | 2 | 2023 |