Shi Qiao

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 21

Top Topics

Query Optimizers

Top Venues

Proc. VLDB Endow.

SIGMOD Conference

Publications

Alekh Jindal, Shi Qiao, Sathwik Madhula, Kanupriya Raheja, Sandhya Jain
Turning Databases Into Generative AI Machines. CIDR (2024)
Shi Qiao, Alekh Jindal
PikePlace: Generating Intelligence for Marketplace Datasets. Proc. VLDB Endow. 16 (12) (2023)
Sunny Gakhar, Joyce Cahoon, Wangchao Le, Xiangnan Li, Kaushik Ravichandran, Hiren Patel, Marc T. Friedman, Brandon Haynes, Shi Qiao, Alekh Jindal, Jyoti Leeka
Pipemizer: An Optimizer for Analytics Data Pipelines. Proc. VLDB Endow. 15 (12) (2022)
Wangda Zhang, Matteo Interlandi, Paul Mineiro, Shi Qiao, Nasim Ghazanfari, Karlen Lie, Marc T. Friedman, Rafah Hosn, Hiren Patel, Alekh Jindal
Deploying a Steered Query Optimizer in Production at Microsoft. CoRR (2022)
Wangda Zhang, Matteo Interlandi, Paul Mineiro, Shi Qiao, Nasim Ghazanfari, Karlen Lie, Marc T. Friedman, Rafah Hosn, Hiren Patel, Alekh Jindal
Deploying a Steered Query Optimizer in Production at Microsoft. SIGMOD Conference (2022)
Alekh Jindal, Shi Qiao, Hiren Patel, Abhishek Roy, Jyoti Leeka, Brandon Haynes
Production Experiences from Computation Reuse at Microsoft. EDBT (2021)
Alekh Jindal, Shi Qiao, Rathijit Sen, Hiren Patel
Microlearner: A fine-grained Learning Optimizer for Big Data Workloads at Microsoft. ICDE (2021)
H. M. Sajjad Hossain, Marc T. Friedman, Hiren Patel, Shi Qiao, Soundar Srinivasan, Markus Weimer, Remmelt Ammerlaan, Lucas Rosenblatt, Gilbert Antonius, Peter Orenberg, Vijay Ramani, Abhishek Roy, Irene Shaffer, Alekh Jindal
PerfGuard: Deploying ML-for-Systems without Performance Regressions, Almost! Proc. VLDB Endow. 14 (13) (2021)
Anish Pimpley, Shuo Li, Anubha Srivastava, Vishal Rohra, Yi Zhu, Soundararajan Srinivasan, Alekh Jindal, Hiren Patel, Shi Qiao, Rathijit Sen
Optimal Resource Allocation for Serverless Queries. CoRR (2021)
Tarique Siddiqui, Alekh Jindal, Shi Qiao, Hiren Patel, Wangchao Le
Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings. CoRR (2020)
Rathijit Sen, Alekh Jindal, Hiren Patel, Shi Qiao
AutoToken: Predicting Peak Parallelism for Big Data Analytics at Microsoft. Proc. VLDB Endow. 13 (12) (2020)
Tarique Siddiqui, Alekh Jindal, Shi Qiao, Hiren Patel, Wangchao Le
Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings. SIGMOD Conference (2020)
Shi Qiao, Adrian Nicoara, Jin Sun, Marc T. Friedman, Hiren Patel, Jaliya Ekanayake
Hyper Dimension Shuffle: Efficient Data Repartition at Petabyte Scale in Scope. Proc. VLDB Endow. 12 (10) (2019)
Alekh Jindal, Hiren Patel, Abhishek Roy, Shi Qiao, Zhicheng Yin, Rathijit Sen, Subru Krishnan
Peregrine: Workload Optimization for Cloud Query Engines. SoCC (2019)
Shi Qiao, Mehmet Koyutürk, Z. Meral Özsoyoglu
Querying of Disparate Association and Interaction Data in Biomedical Applications. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (4) (2018)
Alekh Jindal, Shi Qiao, Hiren Patel, Zhicheng Yin, Jieming Di, Malay Bag, Marc T. Friedman, Yifung Lin, Konstantinos Karanasos, Sriram Rao
Computation Reuse in Analytics Job Service at Microsoft. SIGMOD Conference (2018)
Chenggang Wu, Alekh Jindal, Saeed Amizadeh, Hiren Patel, Wangchao Le, Shi Qiao, Sriram Rao
Towards a Learning Optimizer for Shared Clouds. Proc. VLDB Endow. 12 (3) (2018)
Cheng Yang, Shi Qiao, Z. Meral Özsoyoglu
An exploratory graph query interface for biomedical data. BCB (2015)
Shi Qiao, Mehmet Koyutürk, Z. Meral Özsoyoglu
Integrated querying of disparate association and interaction data in biomedical applications. BCB (2015)
Shi Qiao, Z. Meral Özsoyoglu
One Size Does not Fit All: When to Use Signature-based Pruning to Improve Template Matching for RDF graphs. CoRR (2015)
Shi Qiao, Z. Meral Özsoyoglu
RBench: Application-Specific RDF Benchmarking. SIGMOD Conference (2015)