Integrated querying of disparate association and interaction data in biomedical applications. - Shi Qiao 001; Mehmet Koyutürk; Z. Meral Özsoyoglu (BCB, 2015)

An exploratory graph query interface for biomedical data. - Cheng Yang; Shi Qiao 001; Z. Meral Özsoyoglu (BCB, 2015)

RBench: Application-Specific RDF Benchmarking. - Shi Qiao 001; Z. Meral Özsoyoglu (SIGMOD Conference, 2015)

One Size Does not Fit All: When to Use Signature-based Pruning to Improve Template Matching for RDF graphs. - Shi Qiao 001; Z. Meral Özsoyoglu (CoRR, 2015)

Computation Reuse in Analytics Job Service at Microsoft. - Alekh Jindal; Shi Qiao 001; Hiren Patel; Zhicheng Yin; Jieming Di; Malay Bag; Marc T. Friedman; Yifung Lin; Konstantinos Karanasos; Sriram Rao (SIGMOD Conference, 2018)

Towards a Learning Optimizer for Shared Clouds. - Chenggang Wu 001; Alekh Jindal; Saeed Amizadeh; Hiren Patel; Wangchao Le; Shi Qiao 001; Sriram Rao (Proc. VLDB Endow., 2018)

Querying of Disparate Association and Interaction Data in Biomedical Applications. - Shi Qiao 001; Mehmet Koyutürk; Z. Meral Özsoyoglu (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Peregrine: Workload Optimization for Cloud Query Engines. - Alekh Jindal; Hiren Patel; Abhishek Roy 008; Shi Qiao 001; Zhicheng Yin; Rathijit Sen; Subru Krishnan (SoCC, 2019)

Hyper Dimension Shuffle: Efficient Data Repartition at Petabyte Scale in Scope. - Shi Qiao 001; Adrian Nicoara; Jin Sun; Marc T. Friedman; Hiren Patel; Jaliya Ekanayake (Proc. VLDB Endow., 2019)

Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings. - Tarique Siddiqui; Alekh Jindal; Shi Qiao 001; Hiren Patel; Wangchao Le (SIGMOD Conference, 2020)

AutoToken: Predicting Peak Parallelism for Big Data Analytics at Microsoft. - Rathijit Sen; Alekh Jindal; Hiren Patel; Shi Qiao 001 (Proc. VLDB Endow., 2020)

Production Experiences from Computation Reuse at Microsoft. - Alekh Jindal; Shi Qiao 001; Hiren Patel; Abhishek Roy 008; Jyoti Leeka; Brandon Haynes (EDBT, 2021)

Microlearner: A fine-grained Learning Optimizer for Big Data Workloads at Microsoft. - Alekh Jindal; Shi Qiao 001; Rathijit Sen; Hiren Patel (ICDE, 2021)

Optimal Resource Allocation for Serverless Queries. - Anish Pimpley; Shuo Li; Anubha Srivastava; Vishal Rohra; Yi Zhu; Soundararajan Srinivasan; Alekh Jindal; Hiren Patel; Shi Qiao 001; Rathijit Sen (CoRR, 2021)

PerfGuard: Deploying ML-for-Systems without Performance Regressions, Almost! - H. M. Sajjad Hossain; Marc T. Friedman; Hiren Patel; Shi Qiao 001; Soundar Srinivasan; Markus Weimer; Remmelt Ammerlaan; Lucas Rosenblatt; Gilbert Antonius; Peter Orenberg; Vijay Ramani; Abhishek Roy 008; et al. (Proc. VLDB Endow., 2021)

Deploying a Steered Query Optimizer in Production at Microsoft. - Wangda Zhang; Matteo Interlandi; Paul Mineiro; Shi Qiao 001; Nasim Ghazanfari; Karlen Lie; Marc T. Friedman; Rafah Hosn; Hiren Patel; Alekh Jindal (SIGMOD Conference, 2022)

Pipemizer: An Optimizer for Analytics Data Pipelines. - Sunny Gakhar; Joyce Cahoon; Wangchao Le; Xiangnan Li; Kaushik Ravichandran 002; Hiren Patel; Marc T. Friedman; Brandon Haynes; Shi Qiao 001; Alekh Jindal; Jyoti Leeka (Proc. VLDB Endow., 2022)

PikePlace: Generating Intelligence for Marketplace Datasets. - Shi Qiao 001; Alekh Jindal (Proc. VLDB Endow., 2023)

Turning Databases Into Generative AI Machines. - Alekh Jindal; Shi Qiao 001; Sathwik Madhula; Kanupriya Raheja; Sandhya Jain (CIDR, 2024)

Searching Clinical Data Using Generative AI. - Karan Hanswadkar; Anika Kanchi; Shivani Tripathi; Shi Qiao 001; Rony Chatterjee; Alekh Jindal (CoRR, 2025)

Prompt Migration: Stabilizing GenAI Applications with Evolving Large Language Models. - Shivani Tripathi; Pushpanjali Nema; Aditya Halder; Shi Qiao 001; Alekh Jindal (CoRR, 2025)