Shi Qiao

Orcid: 0000-0002-3698-2857

Affiliations:
  • Microsoft Corporation, Redmond, WA, USA
  • Case Western Reserve University, Cleveland, OH, USA (former)


According to our database1, Shi Qiao authored at least 19 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Turning Databases Into Generative AI Machines.
Proceedings of the 14th Conference on Innovative Data Systems Research, 2024

2023
PikePlace: Generating Intelligence for Marketplace Datasets.
Proc. VLDB Endow., 2023

2022
Pipemizer: An Optimizer for Analytics Data Pipelines.
Proc. VLDB Endow., 2022

Deploying a Steered Query Optimizer in Production at Microsoft.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

2021
PerfGuard: Deploying ML-for-Systems without Performance Regressions, Almost!
Proc. VLDB Endow., 2021

Optimal Resource Allocation for Serverless Queries.
CoRR, 2021

Microlearner: A fine-grained Learning Optimizer for Big Data Workloads at Microsoft.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Production Experiences from Computation Reuse at Microsoft.
Proceedings of the 24th International Conference on Extending Database Technology, 2021

2020
AutoToken: Predicting Peak Parallelism for Big Data Analytics at Microsoft.
Proc. VLDB Endow., 2020

Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings.
Proceedings of the 2020 International Conference on Management of Data, 2020

2019
Hyper Dimension Shuffle: Efficient Data Repartition at Petabyte Scale in Scope.
Proc. VLDB Endow., 2019

Peregrine: Workload Optimization for Cloud Query Engines.
Proceedings of the ACM Symposium on Cloud Computing, SoCC 2019, 2019

2018
Querying of Disparate Association and Interaction Data in Biomedical Applications.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Towards a Learning Optimizer for Shared Clouds.
Proc. VLDB Endow., 2018

Computation Reuse in Analytics Job Service at Microsoft.
Proceedings of the 2018 International Conference on Management of Data, 2018

2015
One Size Does not Fit All: When to Use Signature-based Pruning to Improve Template Matching for RDF graphs.
CoRR, 2015

RBench: Application-Specific RDF Benchmarking.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

An exploratory graph query interface for biomedical data.
Proceedings of the 6th ACM Conference on Bioinformatics, 2015

Integrated querying of disparate association and interaction data in biomedical applications.
Proceedings of the 6th ACM Conference on Bioinformatics, 2015


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