| Towards a learning optimizer for shared clouds C Wu, A Jindal, S Amizadeh, H Patel, W Le, S Qiao, S Rao Proceedings of the VLDB Endowment 12 (3), 210-222, 2018 | 81 | 2018 |
| RBench: Application-specific RDF benchmarking S Qiao, ZM Özsoyoğlu Proceedings of the 2015 acm sigmod international conference on management of …, 2015 | 48 | 2015 |
| Cost models for big data query processing: Learning, retrofitting, and our findings T Siddiqui, A Jindal, S Qiao, H Patel, W Le Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 34 | 2020 |
| Computation Reuse in Analytics Job Service at Microsoft A Jindal, S Qiao, H Patel, Z Yin, J Di SIGMOD '18: Proceedings of the 2018 International Conference on Management …, 2018 | 33 | 2018 |
| Computation reuse in analytics job service at microsoft A Jindal, S Qiao, H Patel, Z Yin, J Di, M Bag, M Friedman, Y Lin, ... Proceedings of the 2018 International Conference on Management of Data, 191-203, 2018 | 33 | 2018 |
| Peregrine: Workload optimization for cloud query engines A Jindal, H Patel, A Roy, S Qiao, Z Yin, R Sen, S Krishnan Proceedings of the ACM Symposium on Cloud Computing, 416-427, 2019 | 25 | 2019 |
| Malay Bag, Marc Friedman, Yifung Lin, Konstantinos Karanasos, Sriram Rao, Computation Reuse in Analytics Job Service at Microsoft A Jindal, S Qiao, H Patel, Z Yin, J Di Proceedings of the 2018 International Conference on Management of Data, 2018 | 15* | 2018 |
| Autotoken: Predicting peak parallelism for big data analytics at microsoft R Sen, A Jindal, H Patel, S Qiao Proceedings of the VLDB Endowment 13 (12), 3326-3339, 2020 | 14 | 2020 |
| Hyper dimension shuffle: Efficient data repartition at petabyte scale in scope S Qiao, A Nicoara, J Sun, M Friedman, H Patel, J Ekanayake Proceedings of the VLDB Endowment 12 (10), 1113-1125, 2019 | 12 | 2019 |
| Microlearner: A fine-grained learning optimizer for big data workloads at microsoft A Jindal, S Qiao, R Sen, H Patel 2021 IEEE 37th International Conference on Data Engineering (ICDE), 2423-2434, 2021 | 10 | 2021 |
| Optimal resource allocation for serverless queries A Pimpley, S Li, A Srivastava, V Rohra, Y Zhu, S Srinivasan, A Jindal, ... arXiv preprint arXiv:2107.08594, 2021 | 5 | 2021 |
| Integrated querying of disparate association and interaction data in biomedical applications S Qiao, M Koyutürk, ZM Özsoyoğlu Proceedings of the 6th ACM Conference on Bioinformatics, Computational …, 2015 | 4 | 2015 |
| One Size Does not Fit All: When to Use Signature-based Pruning to Improve Template Matching for RDF graphs S Qiao, ZM Ozsoyoglu arXiv preprint arXiv:1501.07184, 2015 | 4 | 2015 |
| Production Experiences from Computation Reuse at Microsoft. A Jindal, S Qiao, H Patel, A Roy, J Leeka, B Haynes EDBT, 623-634, 2021 | 3 | 2021 |
| PerfGuard: deploying ML-for-systems without performance regressions, almost! R Ammerlaan, G Antonius, M Friedman, HMS Hossain, A Jindal, ... Proceedings of the VLDB Endowment 14 (13), 3362-3375, 2021 | 1 | 2021 |
| Resource optimization for serverless query processing HS Patel, Q Shi, A Jindal, MK Bag, R Sen, CA Curino US Patent App. 16/697,960, 2021 | 1 | 2021 |
| Learned resource consumption model for optimizing big data queries TA Siddiqui, A Jindal, Q Shi, HS Patel US Patent App. 16/511,966, 2020 | 1 | 2020 |
| PerfGuard: Deploying ML-for-Systems without Performance Regressions HMS Hossain, GA Lucas Rosenblatt, I Shaffer, R Ammerlaan, A Roy, ... | 1 | 2020 |
| Querying of disparate association and interaction data in biomedical applications S Qiao, M Koyutürk, MZ Özsoyoğlu IEEE/ACM Transactions on Computational Biology and Bioinformatics 15 (4 …, 2016 | 1 | 2016 |
| Querying graph structured RDF data S Qiao Case Western Reserve University, 2016 | 1 | 2016 |
hiren patelProgram Manager, MicrosoftVerified email at microsoft.com
