| A scalable architecture for ordered parallelism MC Jeffrey, S Subramanian, C Yan, J Emer, D Sanchez Proceedings of the 48th international symposium on microarchitecture, 228-241, 2015 | 125 | 2015 |
| Auto-suggest: Learning-to-recommend data preparation steps using data science notebooks C Yan, Y He Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 84 | 2020 |
| How not to structure your database-backed web applications: a study of performance bugs in the wild J Yang, P Subramaniam, S Lu, C Yan, A Cheung Proceedings of the 40th International Conference on Software Engineering …, 2018 | 76 | 2018 |
| Leveraging lock contention to improve OLTP application performance C Yan, A Cheung Proceedings of the VLDB Endowment 9 (5), 444-455, 2016 | 71 | 2016 |
| Understanding database performance inefficiencies in real-world web applications C Yan, A Cheung, J Yang, S Lu Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 56 | 2017 |
| Synthesizing type-detection logic for rich semantic data types using open-source code C Yan, Y He Proceedings of the 2018 International Conference on Management of Data, 35-50, 2018 | 38 | 2018 |
| Unlocking ordered parallelism with the Swarm architecture MC Jeffrey, S Subramanian, C Yan, J Emer, D Sanchez IEEE Micro 36 (3), 105-117, 2016 | 34 | 2016 |
| Releasing locks as early as you can: Reducing contention of hotspots by violating two-phase locking Z Guo, K Wu, C Yan, X Yu Proceedings of the 2021 International Conference on Management of Data, 658-670, 2021 | 32 | 2021 |
| Powerstation: Automatically detecting and fixing inefficiencies of database-backed web applications in ide J Yang, C Yan, P Subramaniam, S Lu, A Cheung Proceedings of the 2018 26th ACM Joint Meeting on European Software …, 2018 | 27 | 2018 |
| 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 | 24 | 2019 |
| Execution-based evaluation for data science code generation models J Huang, C Wang, J Zhang, C Yan, H Cui, JP Inala, C Clement, N Duan, ... arXiv preprint arXiv:2211.09374, 2022 | 23 | 2022 |
| Managing data constraints in database-backed web applications J Yang, U Sethi, C Yan, A Cheung, S Lu Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020 | 20 | 2020 |
| Generating application-specific data layouts for in-memory databases C Yan, A Cheung Proceedings of the VLDB Endowment 12 (11), 1513-1525, 2019 | 15 | 2019 |
| Auto-tables: Synthesizing multi-step transformations to relationalize tables without using examples P Li, Y He, C Yan, Y Wang, S Chaudhuri arXiv preprint arXiv:2307.14565, 2023 | 7 | 2023 |
| How not to structure your database-backed web applications: a study of performance bugs in the wild. In 2018 IEEE/ACM 40th International Conference on Software Engineering (ICSE) J Yang, C Yan, P Subramaniam, S Lu, A Cheung IEEE 84, 1013-1024, 2018 | 7 | 2018 |
| Predicate pushdown for data science pipelines C Yan, Y Lin, Y He Proceedings of the ACM on Management of Data 1 (2), 1-28, 2023 | 6 | 2023 |
| Leveraging application data constraints to optimize database-backed web applications X Liu, S Wang, M Sun, S Pan, G Li, S Jha, C Yan, J Yang, S Lu, A Cheung arXiv preprint arXiv:2205.02954, 2022 | 6 | 2022 |
| View-Driven Optimization of Database-Backed Web Applications. C Yan, A Cheung, J Yang, S Lu CIDR, 2020 | 5 | 2020 |
| Demonstration of chestnut: An in-memory data layout designer for database applications M Samuel, C Yan, A Cheung Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 3 | 2020 |
| Auto-Tables: Relationalize Tables without Using Examples P Li, Y He, C Yan, Y Wang, S Chaudhuri ACM SIGMOD Record 53 (1), 76-85, 2024 | 1 | 2024 |
