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Shi Qiao
Shi Qiao
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Title
Cited by
Cited by
Year
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
812018
RBench: Application-specific RDF benchmarking
S Qiao, ZM Özsoyoğlu
Proceedings of the 2015 acm sigmod international conference on management of …, 2015
482015
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
342020
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
332018
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
332018
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
252019
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
142020
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
122019
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
102021
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
52021
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
42015
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
42015
Production Experiences from Computation Reuse at Microsoft.
A Jindal, S Qiao, H Patel, A Roy, J Leeka, B Haynes
EDBT, 623-634, 2021
32021
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
12021
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
12021
Learned resource consumption model for optimizing big data queries
TA Siddiqui, A Jindal, Q Shi, HS Patel
US Patent App. 16/511,966, 2020
12020
PerfGuard: Deploying ML-for-Systems without Performance Regressions
HMS Hossain, GA Lucas Rosenblatt, I Shaffer, R Ammerlaan, A Roy, ...
12020
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
12016
Querying graph structured RDF data
S Qiao
Case Western Reserve University, 2016
12016
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Articles 1–20