Understanding and Detecting Query Performance Regression in Practical Index Tuning
Wentao Wu, Anshuman Dutt, Gaoxiang Xu, Vivek Narasayya, Surajit Chaudhuri
Proceedings of the ACM on Management of Data (SIGMOD 2026) | December 2025, 第 3 卷(6)
Surajit Chaudhuri
Technical Fellow, Data Platforms and Analytics
论文与出版物
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MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark
Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Lingjiao Chen, Dongmei Zhang, Surajit Chaudhuri, H. V. Jagadish
NeurIPS 2025 | November 2025
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Table-Specialist: Language Model Specialists for Tables using Iterative Fine-tuning
Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Dongmei Zhang, Surajit Chaudhuri
EMNLP 2025 | November 2025
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Auto-Prep: Holistic Prediction of Data Preparation Steps for Self-Service Business Intelligence
Eugenie Y. Lai, Yeye He, Surajit Chaudhuri
VLDB 2025 | September 2025
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Esc: An Early-stopping Checker for Budget-aware Index Tuning (Extended Version)
Xiaoying Wang, Wentao Wu, Vivek Narasayya, Surajit Chaudhuri
Proceedings of the VLDB Endowment (VLDB 2025) | August 2025
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Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables
Qixu Chen, Yeye He (yeyehe), Raymond Chi-Wing Wong, Weiwei Cui, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2025 | June 2025
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Extensible Query Optimizers in Practice
Bailu Ding, Vivek Narasayya, Surajit Chaudhuri
Published by Foundations and Trends® in Databases | December 2024, Vol 14
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Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations
Sibei Chen, Yeye He, Weiwei Cui, Ju Fan, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2024 | June 2024
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Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks
Peng Li, Yeye He, Dror Yashar, Weiwei Cui, Song Ge, Haidong Zhang, Danielle Rifinski Fainman, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2024 | June 2024
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Wii: Dynamic Budget Reallocation In Index Tuning (Extended Version)
Xiaoying Wang, Wentao Wu, Chi Wang, Vivek Narasayya, Surajit Chaudhuri
Proceedings of the ACM on Management of Data (SIGMOD 2024) | June 2024, 第 2 卷(3)
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Wred: Workload Reduction for Scalable Index Tuning
Matteo Brucato, Tarique Siddiqui, Wentao Wu, Vivek Narasayya, Surajit Chaudhuri
Proceedings of the ACM on Management of Data (SIGMOD 2024) | March 2024, 第 2 卷(1)
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Cache-Efficient Top-k Aggregation over High Cardinality Large Datasets
Tarique Siddiqui, Vivek Narasayya, Marius Dumitru, Surajit Chaudhuri
Proceedings of the VLDB Endowment (VLDB 2024) | December 2023
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Flexible Resource Allocation for Relational Database-as-a-Service
Pankaj Arora, Surajit Chaudhuri, Sudipto Das, Junfeng Dong, Cyril George, Ajay Kalhan, Arnd Christian König, Willis Lang, Changsong Li, Feng Li, Jiaqi Liu, Lukas M. Maas, Akshay Mata, Ishai Menache, Justin Moeller, Vivek Narasayya, Matthaios Olma, Morgan Oslake, Elnaz Rezai, Yi Shan, Manoj Syamala, Shize Xu, Vasileios Zois
49th International Conference on Very Large Data Bases | October 2023
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Analyzing the Impact of Cardinality Estimation on Execution Plans in Microsoft SQL Server
Kukjin Lee, Anshuman Dutt, Vivek Narasayya, Surajit Chaudhuri
PVLDB | September 2023, 第 16 卷(11): pp. 2871-2883
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Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph
Yiming Lin, Yeye He, Surajit Chaudhuri
VLDB 2023 | August 2023
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Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples
Peng Li, Yeye He, Cong Yan, Yue Wang, Surajit Chaudhuri
VLDB 2023 | August 2023
Best Paper Award
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Auto-Validate by-History: Auto Program Data Quality Constraints to Validate Recurring Data Pipelines
Dezhan Tu, Yeye He, Weiwei Cui, Song Ge, Haidong Zhang, Shi Han, Dongmei Zhang, Surajit Chaudhuri
KDD 2023 | August 2023
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T-Rex: Optimizing Pattern Search on Time Series
Silu Huang, Erkang (Eric) Zhu, Surajit Chaudhuri, Leonhard Spiegelberg
SIGMOD 2023 | June 2023
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High-Performance Row Pattern Recognition Using Joins
Erkang (Eric) Zhu, Silu Huang, Surajit Chaudhuri
Proceedings of the VLDB Endowment | February 2023, 第 16 卷(5): pp. 1181-1194
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DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning (Extended Version)
Tarique Siddiqui, Wentao Wu, Vivek Narasayya, Surajit Chaudhuri
VLDB 2022 | August 2022
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Budget-aware Index Tuning with Reinforcement Learning (Extended Version)
Wentao Wu, Chi Wang, Tarique Siddiqui, Junxiong Wang, Vivek Narasayya, Surajit Chaudhuri, Phil Bernstein
ACM SIGMOD International Conference on Management of Data (SIGMOD 2022) | June 2022
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ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning (Extended Version)
Tarique Siddiqui, Saehan Jo, Wentao Wu, Chi Wang, Vivek Narasayya, Surajit Chaudhuri
ACM SIGMOD 2022 | June 2022
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High-Performance Row Pattern Recognition Using Joins (Technical Report)
Erkang (Eric) Zhu, Silu Huang, Surajit Chaudhuri
MSR-TR-2022-34 | May 2022
作者：Microsoft
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PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication
Yue Wang, Vivek Narasayya, Yeye He, Surajit Chaudhuri
VLDB 2022 | February 2022
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Leveraging query logs and machine learning for parametric query optimization
Kapil Vaidya, Anshuman Dutt, Vivek Narasayya, Surajit Chaudhuri
VLDB 2022 | November 2021
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Pre-training Summarization Models of Structured Datasets for Cardinality Estimation
Yao Lu, Srikanth Kandula, Arnd Christian König, Surajit Chaudhuri
VLDB | November 2021
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DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems
Bailu Ding, Surajit Chaudhuri, Johannes Gehrke, Vivek Narasayya
VLDB 2022 | October 2021
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Data-induced predicates for sideways information passing in query optimizers
Srikanth Kandula, Laurel Orr, Surajit Chaudhuri
The VLDB Journal | August 2021
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COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics
Tarique Siddiqui, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
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Hyperspace: The Indexing Subsystem of Azure Synapse
Rahul Potharaju, Terry Kim, Eunjin Song, Wentao Wu, Lev Novik, Apoorve Dave, Andrew Fogarty, Pouria Pirzadeh, Vidip Acharya, Gurleen Dhody, Jiying Li, Sinduja Ramanujam, Nicolas Bruno, Cesar Galindo-Legaria, Vivek Narasayya, Surajit Chaudhuri, Anil K. Nori, Tomas Talius, Raghu Ramakrishnan
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
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COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics (Extended Version)
Tarique Siddiqui, Surajit Chaudhuri, Vivek Narasayya
MSR-TR-2021-13 | July 2021
作者：Microsoft Research
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Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search
Junwen Yang, Yeye He, Surajit Chaudhuri
VLDB 2021 | July 2021
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Efficiently Approximating Selectivity Functions using Low Overhead Regression Models
Anshuman Dutt, Chi Wang, Vivek Narasayya, Surajit Chaudhuri
46th International Conference on Very Large Data Bases (VLDB 2020) | August 2020
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Pushing Data-Induced Predicates Through Joins in Big-Data Clusters
Srikanth Kandula, Laurel Orr, Surajit Chaudhuri
VLDB | August 2020
Best Paper Runner-Up
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Auto-Transform: Learning-to-Transform by Patterns
Zhongjun Jin, Yeye He, Surajit Chaudhuri
International Conference on Very Large Databases (VLDB) | August 2020
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Anytime Algorithm of Database Tuning Advisor for Microsoft SQL Server
Surajit Chaudhuri, Vivek Narasayya
June 2020
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Bitvector-aware Query Optimization for Decision Support Queries
Bailu Ding, Surajit Chaudhuri, Vivek Narasayya
ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD 2020) | June 2020
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Bitvector-aware Query Optimization for Decision Support Queries (extended version)
Bailu Ding, Surajit Chaudhuri, Vivek Narasayya
MSR-TR-2020-8 | April 2020
作者：Microsoft
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Customizable and Scalable Fuzzy Join for Big Data
Zhimin Chen, Yue Wang, Vivek Narasayya, Surajit Chaudhuri
International Conference on Very Large Data Bases (PVLDB) | August 2019
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Experiences with Approximating Queries in Microsoft’s Production Big-Data Clusters
Srikanth Kandula, Kukjin Lee, Surajit Chaudhuri, Marc Friedman
VLDB | August 2019, 第 12 卷(12)
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Selectivity Estimation for Range Predicates using Lightweight Models
Anshuman Dutt, Chi Wang, Azade Nazi, Srikanth Kandula, Vivek Narasayya, Surajit Chaudhuri
45th International Conference on Very Large Data Bases (VLDB 2019) | August 2019
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Automatically Indexing Millions of Databases in Microsoft Azure SQL Database
Sudipto Das, Miroslav Grbic, Igor Ilic, Isidora Jovandic, Andrija Jovanovic, Vivek Narasayya, Miodrag Radulovic, Maja Stikic, Gaoxiang Xu, Surajit Chaudhuri
ACM SIGMOD Conference | June 2019
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AI Meets AI: Leveraging Query Executions to Improve Index Recommendations
Bailu Ding, Sudipto Das, Ryan Marcus, Wentao Wu, Surajit Chaudhuri, Vivek Narasayya
ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD 2019) | May 2019
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Efficient Identification of Approximate Best Configuration of Training in Large Datasets
Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri
Proceedings of the 33rd AAAI Conference on Artificial Intelligence | January 2019
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ABC: Efficient Selection of Machine Learning Configuration on Large Dataset
Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri
AAAI 2019 | January 2019
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Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations
Yeye He, Kris Ganjam, Vivek Narasayya, Surajit Chaudhuri
International Conference on Very Large Databases (VLDB) | August 2018
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Plan Stitch: Harnessing the Best of Many Plans
Bailu Ding, Sudipto Das, Wentao Wu, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the VLDB Endowment (VLDB 2018) | July 2018
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Accelerating Machine Learning Inference with Probabilistic Predicates
Yao Lu, Aakanksha Chowdhery, Srikanth Kandula, Surajit Chaudhuri
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2018) | June 2018
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Interactive Demonstration of Probabilistic Predicates
Yao Lu, Srikanth Kandula, Surajit Chaudhuri
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2018) | June 2018
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Transform-Data-by-Example (TDE): Extensible Data Transformation in Excel
Yeye He, Kris Ganjam, Kukjin Lee, Yue Wang, Vivek Narasayya, Surajit Chaudhuri, Xu Chu
International Conference on Management of Data (SIGMOD) | June 2018
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Auto-Join: Joining Tables by Leveraging Transformations
Erkang Zhu, Yeye He, Surajit Chaudhuri
International Conference on Very Large Databases (VLDB) | May 2017
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Approximate Query Processing: No Silver Bullet
Surajit Chaudhuri, Bolin Ding, Srikanth Kandula
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2017) | May 2017
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Leveraging Re-costing for Online Optimization of Parameterized Queries with Guarantees
Anshuman Dutt, Vivek Narasayya, Surajit Chaudhuri
International Conference on Management of Data (SIGMOD) | May 2017
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Data Services Leveraging Bing’s Data Assets
Kaushik Chakrabarti, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Yeye He
September 2016
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Data Services Leveraging Bing’s Data Assets
Kaushik Chakrabarti, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam
Bulletin of the IEEE Computer Society Technical Committee on Data Engineering | September 2016
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Sample + Seek: Approximating Aggregates with Distribution Precision Guarantee
Bolin Ding, Silu Huang, Surajit Chaudhuri, Kaushik Chakrabarti, Chi Wang
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2016) | July 2016
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Operator and Query Progress Estimation in Microsoft SQL Server Live Query Statistics
Kukjin Lee, Arnd Christian König, Vivek Narasayya, Bolin Ding, Surajit Chaudhuri, Brent Ellwein, Alexey Eksarevskiy, Manbeen Kohli, Jacob Wyant, Praneeta Prakash, Rimma Nehme, Jiexing Li, Jeff Naughton
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2016) | June 2016
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2016)
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Quickr: Lazily Approximating Complex Ad-Hoc Queries in Big Data Clusters
Srikanth Kandula, Anil Shanbhag, Aleksandar Vitorovic, Matthaios Olma, Robert Grandl, Surajit Chaudhuri, Bolin Ding
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2016) | June 2016
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Sample + Seek: Approximating Aggregates with Distribution Precision Guarantee
Bolin Ding, Silu Huang, Surajit Chaudhuri, Kaushik Chakrabarti, Chi Wang
Proceedings of 2016 ACM SIGMOD International Conference on Management of Data (SIGMOD) | June 2016
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Sharing Buffer Pool Memory in Multi-Tenant Relational Database-as-a-Service
Vivek Narasayya, Ishai Menache, Mohit Singh, Feng Li, Manoj Syamala, Surajit Chaudhuri
Proceedings of the VLDB Endowment | August 2015
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S4: Top-k Spreadsheet-Style Search for Query Discovery
Fotis Psallidas, Bolin Ding, Kaushik Chakrabarti, Surajit Chaudhuri
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2015) | June 2015
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AutoTag’n Search My Photos: Leveraging the Social Graph for Photo Tagging
Shobana Balakrishnan, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the 24th International Conference on World Wide Web Conference | May 2015
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ClusterJoin: A Similarity Joins Framework using Map-Reduce
Akash Das Sarma, Yeye He, Surajit Chaudhuri
Proceedings of International Conference on Very Large Databases (VLDB) | September 2014
Proceedings of International Conference on Very Large Databases (VLDB)
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Finding Patterns in a Knowledge Base using Keywords to Compose Table Answers
Mohan Yang, Bolin Ding, Surajit Chaudhuri, Kaushik Chakrabarti
Proceedings of the VLDB Endowment, the 41st International Conference on Very Large Data Bases (VLDB 2015) | September 2014
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Fast foreign-key detection in Microsoft SQL server PowerPivot for Excel
Zhimin Chen, Vivek Narasayya, Surajit Chaudhuri
Proceedings of the VLDB Endowment | August 2014
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Discovering Queries based on Example Tuples
Yanyan Shen, Kaushik Chakrabarti, Surajit Chaudhuri, Bolin Ding, Lev Novik
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2014) | June 2014
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2014)
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Database Application Developer Tools Using Static Analysis and Dynamic Profiling
Surajit Chaudhuri, Vivek Narasayya, Manoj Syamala
IEEE Data Eng. Bull. | March 2014, 第 37 卷: pp. 38-47
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A Demonstration of SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service
Vivek Narasayya, Sudipto Das, Manoj Syamala, Surajit Chaudhuri, Feng Li, Hyunjung Park
SIGMOD 2013 | June 2013
SIGMOD 2013
ISBN: 978-1-4503-2037-5
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Data Services for E-tailers Leveraging Web Search Engine Assets
Tao Cheng, Kaushik Chakrabarti, Surajit Chaudhuri, Vivek Narasayya, Manoj Syamala
ICDE Conference | April 2013
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SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service
Vivek Narasayya, Sudipto Das, Manoj Syamala, Badrish Chandramouli, Surajit Chaudhuri
CIDR 2013 | January 2013
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Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques
Jiexing Li, Arnd Christian König, Arnd Christian König, Vivek Narasayya, Surajit Chaudhuri
38th International Conference on Very Large Databases | August 2012
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Experiences with using Data Cleaning Technology for Bing Services
Arvind Arasu, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Raghav Kaushik, Vivek Narasayya
Data Engineering Bulletin | June 2012
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Targeted Disambiguation of Ad-hoc, Homogeneous Sets of Named Entities
Chi Wang, Kaushik Chakrabarti, Tao Cheng, Surajit Chaudhuri
Proceeding of 2012 International World Wide Web Conference | April 2012
Proceeding of 2012 International World Wide Web Conference
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A Framework for Robust Discovery of Entity Synonyms
Kaushik Chakrabarti, Surajit Chaudhuri, Tao Cheng
SIGKDD | January 2012
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A Statistical Approach Towards Robust Progress Estimation
Arnd Christian König, Surajit Chaudhuri, Vivek Narasayya, Bolin Ding
38th International Conference on Very Large Databases | January 2012
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A Statistical Approach Towards Robust Progress Estimation
Arnd Christian König, Arnd Christian König, Bolin Ding, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the VLDB Endowment, the 38th International Conference on Very Large Data Bases (VLDB 2012) | January 2012
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InfoGather: Entity Augmentation and Attribute Discovery By Holistic Matching with Web Tables
Mohamed Yakout, Kris Ganjam, Kaushik Chakrabarti, Surajit Chaudhuri
ACM SIGMOD Conference | January 2012
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Targeted Disambiguation of Ad-hoc, Homogeneous Sets of Named Entities
Chi Wang, Kaushik Chakrabarti, Tao Cheng, Surajit Chaudhuri
World Wide Web Conference | January 2012
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AutoAdmin Project at Microsoft Research: Lessons Learned
Surajit Chaudhuri, Arnd Christian König, Arnd Christian König, Vivek Narasayya, Ravi Ramamurthy, Manoj Syamala, Nicolas Bruno (nicolasbruno)
Bulletin of the IEEE Computer Society Technical Committee on Data Engineering | December 2011
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Rethinking Query Processing for Energy Efficiency: Slowing Down to Win the Race.
Nicolas Bruno, Surajit Chaudhuri, Arnd Christian König, Vivek Narasayya, Ravi Ramamurthy, Manoj Syamala
IEEE Data(base) Engineering Bulletin | November 2011, 第 34 卷: pp. 12-19
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Towards a Domain Independent Platform for Data Cleaning
Arvind Arasu, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Raghav Kaushik, Vivek Narasayya
Data Engineering Bulletin | September 2011
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Interval-Based Pruning for Top-k Processing over Compressed Lists
Kaushik Chakrabarti, Surajit Chaudhuri, Venkatesh Ganti
ICDE Conference | April 2011
ICDE Conference
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Automatically Tagging Entities with Descriptive Phrases
Kaushik Chakrabarti, Surajit Chaudhuri, Tao Cheng, Dong Xin
WWW (Poster paper) | January 2011
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Database Access Control & Privacy: Is There A Common Ground?
Surajit Chaudhuri, Raghav Kaushik, Ravi Ramamurthy
Conference on Innovative Database Research | January 2011
Conference on Innovative Database Research
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Variance Aware Optimization of Parameterized Queries
Surajit Chaudhuri, Vivek Narasayya, Hongrae Lee
ACM SIGMOD | June 2010
ACM SIGMOD
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Query Portals: Dynamically Generating Portals for Entity-Oriented Web Queries
Sanjay Agrawal, Kaushik Chakrabarti, Surajit Chaudhuri, Venkatesh Ganti, Arnd Christian König, Arnd Christian König, Dong Xin
International Conference on Management of Data (SIGMOD 2010) | June 2010
International Conference on Management of Data (SIGMOD 2010)
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Interactive Physical Design Tuning
Nicolas Bruno, Surajit Chaudhuri
ICDE | April 2010
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Rule Profiling for Query Optimizers and their Implications
Surajit Chaudhuri, Leo Giakoumakis, Vivek Narasayya, Ravi Ramamurthy
International Conference of Data Engineering (ICDE) | March 2010
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Constrained Physical Design Tuning
Nicolas Bruno, Surajit Chaudhuri
VLDB Journal | January 2010
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Learning String Transformations from Examples
Arvind Arasu, Surajit Chaudhuri, Raghav Kaushik
VLDB | August 2009
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Extending Autocompletion to Tolerate Errors
Surajit Chaudhuri, Raghav Kaushik
ACM SIGMOD | June 2009
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Interactive Plan Hints for Query Optimization
Nicolas Bruno, Surajit Chaudhuri, Ravi Ramamurthy
SIGMOD | June 2009
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Constrained Physical Design Tuning
VLDB Journal | May 2009
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Exploiting Web Search Engines to Search Structured Information
Sanjay Agrawal, Surajit Chaudhuri, Kaushik Chakrabarti, Venkatesh Ganti, Dong Xin, Arnd Christian König, Arnd Christian König, Venky Ganti
18th International World Wide Web Conference (WWW 2009) | April 2009
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Query Portals: Dynamically Generating Portals for Web
Sanjay Agrawal, Kaushik Chakrabarti, Surajit Chaudhuri, Venky Ganti, Arnd Christian König, Dong Xin
18th International World Wide Web Conference (WWW 2009) | April 2009
18th International World Wide Web Conference (WWW 2009)
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Power Hints for Query Optimization
Nicolas Bruno, Surajit Chaudhuri, Ravi Ramamurthy
Proceedings of the International Conference on Data Engineering (ICDE) | January 2009
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A Pay-As-You-Go Framework for Query Execution Feedback
Surajit Chaudhuri, Vivek Narasayya, Ravi Ramamurthy
VLDB | August 2008
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An Efficient Filter for Approximate Membership Checking
Kaushik Chakrabarti, Surajit Chaudhuri, Venkatesh Ganti, Dong Xin
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2008) | June 2008
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Incorporating String Transformations in Record Matching
Arvind Arasu, Surajit Chaudhuri, Kris Ganjam, Raghav Kaushik
SIGMOD | June 2008
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Transformation-based Framework for Record Matching
Arvind Arasu, Surajit Chaudhuri, Raghav Kaushik
Proceedings of the 24th International Conference on Data Engineering, ICDE 2008 | June 2008
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Diagnosing Estimation Errors in Page Counts using Execution Feedback
Surajit Chaudhuri, Vivek Narasayya, Ravi Ramamurthy
24th International Conference on Data Engineering | April 2008
24th International Conference on Data Engineering
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Constrained Physical Design Tuning
Surajit Chaudhuri, Nicolas Bruno
Proceedings of the International Conference on Very Large Databases (VLDB) | January 2008
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Scalable Adhoc Entity Extraction from Text Collections
Sanjay Agrawal, Kaushik Chakrabarti, Surajit Chaudhuri, Venky Ganti
VLDB Conference | January 2008
VLDB Conference
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Bridging the Application and DBMS Profiling Divide for Database Application Developers
Surajit Chaudhuri, Vivek Narasayya, Manoj Syamala
VLDB | September 2007
VLDB
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Self-Tuning Database Systems: A Decade of Progress
Surajit Chaudhuri, Vivek Narasayya
VLDB | September 2007
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Heavy-Tailed Distributions and Multi-Keyword Queries
Surajit Chaudhuri, Kenneth Church, Liying Sui, Arnd Christian König, Arnd Christian König, Ken Church
30th ACM SIGIR International Conference on Research & Developement on Information Retreival | July 2007
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Fine Grained Authorization Through Predicated Grants
Surajit Chaudhuri, Tanmoy Dutta, S Sudarshan
IEEE International Conference on Data Engineering | April 2007
IEEE International Conference on Data Engineering
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An Online Approach to Physical Design Tuning
Surajit Chaudhuri, Nicolas Bruno
Proceedings of the International Conference on Data Engineering (ICDE) | January 2007
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Example Driven Design of Efficient Record Matching Queries
Surajit Chaudhuri, Bee Chung Chen, Venky Ganti, Raghav Kaushik
VLDB | January 2007
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Leveraging Aggregate Constraints for Deduplication
Surajit Chaudhuri, Anish Das Sarma, Venky Ganti, Raghav Kaushik
SIGMOD | January 2007
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Online autoadmin: (physical design tuning)
Nicolas Bruno, Surajit Chaudhuri
SIGMOD | January 2007
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Physical design refinement: The merge-reduce approach
Nicolas Bruno, Surajit Chaudhuri
Transactions on Database Systems | January 2007
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Stop-and-Restart Style Execution for Long Running Decision Support Queries
Surajit Chaudhuri, Raghav Kaushik, Abhijit Pol, Ravi Ramamurthy
VLDB | January 2007
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A Primitive Operator for Similarity Joins in Data Cleaning
Surajit Chaudhuri, Venky Ganti, Raghav Kaushik
ICDE | January 2006
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AutoAdmin: Self-Tuning Database Systems Technology
Sanjay Agrawal, Nicolas Bruno, Surajit Chaudhuri, Vivek Narasayya
Data Engineering Bulletin | January 2006
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Generating Queries with Cardinality Constraints for DBMS Testing
Nicolas Bruno, Surajit Chaudhuri, Dilys Thomas
Transactions on Knowledge and Data Engineering | January 2006
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Robust Cardinality and Cost Estimation for Skyline Operator
Surajit Chaudhuri, Nilesh Dalvi, Raghav Kaushik
ICDE | January 2006
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To Tune or not to Tune? A Lightweight Physical Design Alerter
Surajit Chaudhuri, Nicolas Bruno
Proceedings of the International Conference on Very Large Databases (VLDB) | January 2006
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Data Cleaning in Microsoft SQL Server 2005
Surajit Chaudhuri, Kris Ganjam, Rahul Kapoor, Vivek Narasayya, Theo Vassilakis
SIGMOD | June 2005
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Automatic Physical Database Tuning: A Relaxation-based Approach
Nicolas Bruno, Surajit Chaudhuri
Proceedings of the ACM International Conference on Management of Data (SIGMOD) | January 2005
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Flexible Database Generators
Nicolas Bruno, Surajit Chaudhuri
January 2005
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When Can we Trust Progress Estimators for SQL Queries?
Surajit Chaudhuri, Raghav Kaushik, Ravishankar Ramamurthy, Ravi Ramamurthy
SIGMOD | January 2005
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Database Tuning Advisor for Microsoft SQL Server 2005
Sanjay Agrawal, Surajit Chaudhuri, Lubor Kollar, Arun Marathe, Vivek Narasayya, Manoj Syamala
VLDB | August 2004
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Estimating Progress of Execution for SQL Queries
Surajit Chaudhuri, Vivek Narasayya, Ravi Ramamurthy
SIGMOD | June 2004
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SQLCM: A Contiuous Monitoring Framework for Relational Database Engines
Surajit Chaudhuri, Arnd Christian König, Vivek Narasayya
20th International Conference on Data Engineering | March 2004
20th International Conference on Data Engineering
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Automatic Categorization of Query Results
Kaushik Chakrabarti, Surajit Chaudhuri, Seung-won Hwang
ACM SIGMOD Conference | January 2004
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Conditional Selectivity for Statistics on Query Expressions
Nicolas Bruno, Surajit Chaudhuri
SIGMOD | January 2004
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Primitives for Workload Summarization and Implications for SQL
Surajit Chaudhuri, Prasanna Ganesan, Vivek Narasayya
VLDB | September 2003
VLDB
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Databases and IR: Perspectives of a SQL Guy
NSF Information and Data Management PI Workshop | January 2003
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Databases and IR: Perspectives of a SQL Guy
January 2003
NSF Information and Data Management PI Workshop
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On Relational Support for XML Publishing: Beyond Sorting and Tagging
Surajit Chaudhuri, Raghav Kaushik, Jeffrey F. Naughton
SIGMOD | January 2003
SIGMOD
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Robust and Efficient Fuzzy Match for Online Data Cleaning
Surajit Chaudhuri, Kris Ganjam, Venky Ganti, Rajeev Motwani
January 2003
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Reliability in Single Domain vs. Multi Domain Optical Mesh Networks
A. A. Akyamac, Sudipta Sengupta, Surajit Chaudhuri
National Fiber Optic Engineers Conference (NFOEC) 2002, Dallas (USA) | October 2002
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DBXplorer: Enabling Keyword Search over Relational Databases
Sanjay Agrawal, Surajit Chaudhuri, Gautam Das
ACM SIGMOD 2002 | June 2002
ISBN: 1-58113-497-5
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Compressing SQL Workloads
Surajit Chaudhuri, Vivek Narasayya
SIGMOD | June 2002
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Analysis of Enhanced OSPF for Routing Lightpaths in Optical Mesh Networks
Sudipta Sengupta, D. Saha, Surajit Chaudhuri
IEEE International Conference on Communications (ICC) 2002, New York (USA) | April 2002
ISBN: 0-7803-7400-2
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Efficient Evaluation of Queries with Mining Predicates
Surajit Chaudhuri, Sunita Sarawagi, Vivek Narasayya
Proceedings of 18th International Conference on Data Engineering | January 2002
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A Robust, Optimization-Based Approach for Approximate Answering of Aggregate Queries
Surajit Chaudhuri, Gautam Das, Vivek Narasayya
MSR-TR-2001-37 | May 2001
Technical Report UU-CS-2001-35, Departement of Computer Science, Universiteit Utrecht
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Overcoming Limitations of Sampling for Aggregation Queries
Mayur Datar, Rajeev Motwani, Vivek Narasayya, Gautam Das, Surajit Chaudhuri
17th International Conference on Data Engineering | April 2001
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Comparison of Centralized and Distributed Provisioning of Lightpaths in Mesh Restored Optical Networks
Ravi Ramamurthy, Sudipta Sengupta, Surajit Chaudhuri
Optical Fiber Communication (OFC) Conference, Anaheim (USA) | March 2001
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STHoles: A Multidimensional Workload-Aware Histogram
Nicolas Bruno, Surajit Chaudhuri, Luis Gravano
MSR-TR-2001-36 | March 2001
作者：Microsoft
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Capacity Performance of Dynamic Provisioning in Optical Networks
Ravi Ramamurthy, Z. Bogdanowicz, S. Samieian, D. Saha, B. Rajagopalan, Sudipta Sengupta, Surajit Chaudhuri, K. Bala
Invited paper, IEEE/OSA Journal of Lightwave Technology | January 2001, 第 19 卷(1): pp. 40-48
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Automated Selection of Materialized Views and Indexes for SQL Databases.
Sanjay Agrawal, Surajit Chaudhuri, Vivek Narasayya
VLDB | September 2000
VLDB
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Automating Statistics Management for Query Optimizers
Surajit Chaudhuri, Vivek Narasayya
16th International Conference on Data Engineering | March 2000
16th International Conference on Data Engineering
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Integration of Data Mining and Relational Databases
Amir Netz, Jeff Bernhardt, Usama Fayyad, Surajit Chaudhuri
Proceedings of the 26th International Conference on Very Large Databases | January 2000
Proceedings of the 26th International Conference on Very Large Databases
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Accurate Query Optimization by Sub-plan Memoization
Ashraf Aboulnaga, Surajit Chaudhuri
MSR-TR-1999-102 | December 1999
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On Random Sampling over Joins
Surajit Chaudhuri, Rajeev Motwani, Vivek Narasayya
SIGMOD | June 1999
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Index Merging
Surajit Chaudhuri, Vivek Narasayya
15th International Conference on Data Engineering | April 1999
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AutoAdmin “What-If” Index Analysis Utility
Surajit Chaudhuri, Vivek Narasayya
SIGMOD | June 1998
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Random Sampling for Histogram Construction: How Much is Enough?
Surajit Chaudhuri, Rajeev Motwani, Vivek Narasayya
SIGMOD | June 1998
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An Overview of Query Optimization in Relational Systems (paper)
January 1998
Proceedings of 1998 ACM PODS
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An Overview of Query Optimization in Relational Systems (slides)
Proceedings of 1998 ACM PODS | January 1998
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On the Efficient Gathering of Sufficient Statistics for Classification from Large SQL Databases
Goetz Graefe, Usama Fayyad, Surajit Chaudhuri
Proceedings of the Fourth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining | January 1998
Proceedings of the Fourth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
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The Microsoft Database Research Group
Surajit Chaudhuri, Per-Ake Larson, Vivek Narasayya, David Lomet, , Paul Larson
January 1998
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An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server
Surajit Chaudhuri, Vivek Narasayya
VLDB | August 1997
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An Overview of Data Warehousing and OLAP Technology
Surajit Chaudhuri, Umeshwar Dayal
Sigmod Record | March 1997
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Automated Selection of Materialized Views and Indexes for SQL Databases.
Sanjay Agrawal, Surajit Chaudhuri, Vivek Narasayya
VLDB | September 2000
VLDB
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An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server
Surajit Chaudhuri, Vivek Narasayya
VLDB | August 1997
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Understanding and Detecting Query Performance Regression in Practical Index Tuning
Wentao Wu, Anshuman Dutt, Gaoxiang Xu, Vivek Narasayya, Surajit Chaudhuri
Proceedings of the ACM on Management of Data (SIGMOD 2026) | December 2025, 第 3 卷(6)
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MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark
Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Lingjiao Chen, Dongmei Zhang, Surajit Chaudhuri, H. V. Jagadish
NeurIPS 2025 | November 2025
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Table-Specialist: Language Model Specialists for Tables using Iterative Fine-tuning
Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Dongmei Zhang, Surajit Chaudhuri
EMNLP 2025 | November 2025
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Auto-Prep: Holistic Prediction of Data Preparation Steps for Self-Service Business Intelligence
Eugenie Y. Lai, Yeye He, Surajit Chaudhuri
VLDB 2025 | September 2025
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Esc: An Early-stopping Checker for Budget-aware Index Tuning (Extended Version)
Xiaoying Wang, Wentao Wu, Vivek Narasayya, Surajit Chaudhuri
Proceedings of the VLDB Endowment (VLDB 2025) | August 2025
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Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables
Qixu Chen, Yeye He (yeyehe), Raymond Chi-Wing Wong, Weiwei Cui, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2025 | June 2025
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Extensible Query Optimizers in Practice
Bailu Ding, Vivek Narasayya, Surajit Chaudhuri
Published by Foundations and Trends® in Databases | December 2024, Vol 14
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Wii: Dynamic Budget Reallocation In Index Tuning (Extended Version)
Xiaoying Wang, Wentao Wu, Chi Wang, Vivek Narasayya, Surajit Chaudhuri
Proceedings of the ACM on Management of Data (SIGMOD 2024) | June 2024, 第 2 卷(3)
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Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks
Peng Li, Yeye He, Dror Yashar, Weiwei Cui, Song Ge, Haidong Zhang, Danielle Rifinski Fainman, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2024 | June 2024
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Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations
Sibei Chen, Yeye He, Weiwei Cui, Ju Fan, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2024 | June 2024
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Wred: Workload Reduction for Scalable Index Tuning
Matteo Brucato, Tarique Siddiqui, Wentao Wu, Vivek Narasayya, Surajit Chaudhuri
Proceedings of the ACM on Management of Data (SIGMOD 2024) | March 2024, 第 2 卷(1)
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Cache-Efficient Top-k Aggregation over High Cardinality Large Datasets
Tarique Siddiqui, Vivek Narasayya, Marius Dumitru, Surajit Chaudhuri
Proceedings of the VLDB Endowment (VLDB 2024) | December 2023
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Flexible Resource Allocation for Relational Database-as-a-Service
Pankaj Arora, Surajit Chaudhuri, Sudipto Das, Junfeng Dong, Cyril George, Ajay Kalhan, Arnd Christian König, Willis Lang, Changsong Li, Feng Li, Jiaqi Liu, Lukas M. Maas, Akshay Mata, Ishai Menache, Justin Moeller, Vivek Narasayya, Matthaios Olma, Morgan Oslake, Elnaz Rezai, Yi Shan, Manoj Syamala, Shize Xu, Vasileios Zois
49th International Conference on Very Large Data Bases | October 2023
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Analyzing the Impact of Cardinality Estimation on Execution Plans in Microsoft SQL Server
Kukjin Lee, Anshuman Dutt, Vivek Narasayya, Surajit Chaudhuri
PVLDB | September 2023, 第 16 卷(11): pp. 2871-2883
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Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples
Peng Li, Yeye He, Cong Yan, Yue Wang, Surajit Chaudhuri
VLDB 2023 | August 2023
Best Paper Award
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Auto-Validate by-History: Auto Program Data Quality Constraints to Validate Recurring Data Pipelines
Dezhan Tu, Yeye He, Weiwei Cui, Song Ge, Haidong Zhang, Shi Han, Dongmei Zhang, Surajit Chaudhuri
KDD 2023 | August 2023
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Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph
Yiming Lin, Yeye He, Surajit Chaudhuri
VLDB 2023 | August 2023
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T-Rex: Optimizing Pattern Search on Time Series
Silu Huang, Erkang (Eric) Zhu, Surajit Chaudhuri, Leonhard Spiegelberg
SIGMOD 2023 | June 2023
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High-Performance Row Pattern Recognition Using Joins
Erkang (Eric) Zhu, Silu Huang, Surajit Chaudhuri
Proceedings of the VLDB Endowment | February 2023, 第 16 卷(5): pp. 1181-1194
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DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning (Extended Version)
Tarique Siddiqui, Wentao Wu, Vivek Narasayya, Surajit Chaudhuri
VLDB 2022 | August 2022
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Budget-aware Index Tuning with Reinforcement Learning (Extended Version)
Wentao Wu, Chi Wang, Tarique Siddiqui, Junxiong Wang, Vivek Narasayya, Surajit Chaudhuri, Phil Bernstein
ACM SIGMOD International Conference on Management of Data (SIGMOD 2022) | June 2022
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ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning (Extended Version)
Tarique Siddiqui, Saehan Jo, Wentao Wu, Chi Wang, Vivek Narasayya, Surajit Chaudhuri
ACM SIGMOD 2022 | June 2022
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High-Performance Row Pattern Recognition Using Joins (Technical Report)
Erkang (Eric) Zhu, Silu Huang, Surajit Chaudhuri
MSR-TR-2022-34 | May 2022
作者：Microsoft
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PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication
Yue Wang, Vivek Narasayya, Yeye He, Surajit Chaudhuri
VLDB 2022 | February 2022
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Leveraging query logs and machine learning for parametric query optimization
Kapil Vaidya, Anshuman Dutt, Vivek Narasayya, Surajit Chaudhuri
VLDB 2022 | November 2021
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Pre-training Summarization Models of Structured Datasets for Cardinality Estimation
Yao Lu, Srikanth Kandula, Arnd Christian König, Surajit Chaudhuri
VLDB | November 2021
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DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems
Bailu Ding, Surajit Chaudhuri, Johannes Gehrke, Vivek Narasayya
VLDB 2022 | October 2021
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Data-induced predicates for sideways information passing in query optimizers
Srikanth Kandula, Laurel Orr, Surajit Chaudhuri
The VLDB Journal | August 2021
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COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics
Tarique Siddiqui, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
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Hyperspace: The Indexing Subsystem of Azure Synapse
Rahul Potharaju, Terry Kim, Eunjin Song, Wentao Wu, Lev Novik, Apoorve Dave, Andrew Fogarty, Pouria Pirzadeh, Vidip Acharya, Gurleen Dhody, Jiying Li, Sinduja Ramanujam, Nicolas Bruno, Cesar Galindo-Legaria, Vivek Narasayya, Surajit Chaudhuri, Anil K. Nori, Tomas Talius, Raghu Ramakrishnan
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
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COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics (Extended Version)
Tarique Siddiqui, Surajit Chaudhuri, Vivek Narasayya
MSR-TR-2021-13 | July 2021
作者：Microsoft Research
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Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search
Junwen Yang, Yeye He, Surajit Chaudhuri
VLDB 2021 | July 2021
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Efficiently Approximating Selectivity Functions using Low Overhead Regression Models
Anshuman Dutt, Chi Wang, Vivek Narasayya, Surajit Chaudhuri
46th International Conference on Very Large Data Bases (VLDB 2020) | August 2020
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Pushing Data-Induced Predicates Through Joins in Big-Data Clusters
Srikanth Kandula, Laurel Orr, Surajit Chaudhuri
VLDB | August 2020
Best Paper Runner-Up
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Auto-Transform: Learning-to-Transform by Patterns
Zhongjun Jin, Yeye He, Surajit Chaudhuri
International Conference on Very Large Databases (VLDB) | August 2020
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Anytime Algorithm of Database Tuning Advisor for Microsoft SQL Server
Surajit Chaudhuri, Vivek Narasayya
June 2020
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Bitvector-aware Query Optimization for Decision Support Queries
Bailu Ding, Surajit Chaudhuri, Vivek Narasayya
ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD 2020) | June 2020
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Bitvector-aware Query Optimization for Decision Support Queries (extended version)
Bailu Ding, Surajit Chaudhuri, Vivek Narasayya
MSR-TR-2020-8 | April 2020
作者：Microsoft
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Customizable and Scalable Fuzzy Join for Big Data
Zhimin Chen, Yue Wang, Vivek Narasayya, Surajit Chaudhuri
International Conference on Very Large Data Bases (PVLDB) | August 2019
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Selectivity Estimation for Range Predicates using Lightweight Models
Anshuman Dutt, Chi Wang, Azade Nazi, Srikanth Kandula, Vivek Narasayya, Surajit Chaudhuri
45th International Conference on Very Large Data Bases (VLDB 2019) | August 2019
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Experiences with Approximating Queries in Microsoft’s Production Big-Data Clusters
Srikanth Kandula, Kukjin Lee, Surajit Chaudhuri, Marc Friedman
VLDB | August 2019, 第 12 卷(12)
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Automatically Indexing Millions of Databases in Microsoft Azure SQL Database
Sudipto Das, Miroslav Grbic, Igor Ilic, Isidora Jovandic, Andrija Jovanovic, Vivek Narasayya, Miodrag Radulovic, Maja Stikic, Gaoxiang Xu, Surajit Chaudhuri
ACM SIGMOD Conference | June 2019
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AI Meets AI: Leveraging Query Executions to Improve Index Recommendations
Bailu Ding, Sudipto Das, Ryan Marcus, Wentao Wu, Surajit Chaudhuri, Vivek Narasayya
ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD 2019) | May 2019
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Efficient Identification of Approximate Best Configuration of Training in Large Datasets
Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri
Proceedings of the 33rd AAAI Conference on Artificial Intelligence | January 2019
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Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations
Yeye He, Kris Ganjam, Vivek Narasayya, Surajit Chaudhuri
International Conference on Very Large Databases (VLDB) | August 2018
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Plan Stitch: Harnessing the Best of Many Plans
Bailu Ding, Sudipto Das, Wentao Wu, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the VLDB Endowment (VLDB 2018) | July 2018
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Interactive Demonstration of Probabilistic Predicates
Yao Lu, Srikanth Kandula, Surajit Chaudhuri
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2018) | June 2018
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Accelerating Machine Learning Inference with Probabilistic Predicates
Yao Lu, Aakanksha Chowdhery, Srikanth Kandula, Surajit Chaudhuri
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2018) | June 2018
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Transform-Data-by-Example (TDE): Extensible Data Transformation in Excel
Yeye He, Kris Ganjam, Kukjin Lee, Yue Wang, Vivek Narasayya, Surajit Chaudhuri, Xu Chu
International Conference on Management of Data (SIGMOD) | June 2018
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Auto-Join: Joining Tables by Leveraging Transformations
Erkang Zhu, Yeye He, Surajit Chaudhuri
International Conference on Very Large Databases (VLDB) | May 2017
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Approximate Query Processing: No Silver Bullet
Surajit Chaudhuri, Bolin Ding, Srikanth Kandula
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2017) | May 2017
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Leveraging Re-costing for Online Optimization of Parameterized Queries with Guarantees
Anshuman Dutt, Vivek Narasayya, Surajit Chaudhuri
International Conference on Management of Data (SIGMOD) | May 2017
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Data Services Leveraging Bing’s Data Assets
Kaushik Chakrabarti, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Yeye He
September 2016
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Data Services Leveraging Bing’s Data Assets
Kaushik Chakrabarti, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam
Bulletin of the IEEE Computer Society Technical Committee on Data Engineering | September 2016
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Sample + Seek: Approximating Aggregates with Distribution Precision Guarantee
Bolin Ding, Silu Huang, Surajit Chaudhuri, Kaushik Chakrabarti, Chi Wang
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2016) | July 2016
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Operator and Query Progress Estimation in Microsoft SQL Server Live Query Statistics
Kukjin Lee, Arnd Christian König, Vivek Narasayya, Bolin Ding, Surajit Chaudhuri, Brent Ellwein, Alexey Eksarevskiy, Manbeen Kohli, Jacob Wyant, Praneeta Prakash, Rimma Nehme, Jiexing Li, Jeff Naughton
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2016) | June 2016
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2016)
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Sample + Seek: Approximating Aggregates with Distribution Precision Guarantee
Bolin Ding, Silu Huang, Surajit Chaudhuri, Kaushik Chakrabarti, Chi Wang
Proceedings of 2016 ACM SIGMOD International Conference on Management of Data (SIGMOD) | June 2016
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Quickr: Lazily Approximating Complex Ad-Hoc Queries in Big Data Clusters
Srikanth Kandula, Anil Shanbhag, Aleksandar Vitorovic, Matthaios Olma, Robert Grandl, Surajit Chaudhuri, Bolin Ding
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2016) | June 2016
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Sharing Buffer Pool Memory in Multi-Tenant Relational Database-as-a-Service
Vivek Narasayya, Ishai Menache, Mohit Singh, Feng Li, Manoj Syamala, Surajit Chaudhuri
Proceedings of the VLDB Endowment | August 2015
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S4: Top-k Spreadsheet-Style Search for Query Discovery
Fotis Psallidas, Bolin Ding, Kaushik Chakrabarti, Surajit Chaudhuri
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2015) | June 2015
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AutoTag’n Search My Photos: Leveraging the Social Graph for Photo Tagging
Shobana Balakrishnan, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the 24th International Conference on World Wide Web Conference | May 2015
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ClusterJoin: A Similarity Joins Framework using Map-Reduce
Akash Das Sarma, Yeye He, Surajit Chaudhuri
Proceedings of International Conference on Very Large Databases (VLDB) | September 2014
Proceedings of International Conference on Very Large Databases (VLDB)
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Finding Patterns in a Knowledge Base using Keywords to Compose Table Answers
Mohan Yang, Bolin Ding, Surajit Chaudhuri, Kaushik Chakrabarti
Proceedings of the VLDB Endowment, the 41st International Conference on Very Large Data Bases (VLDB 2015) | September 2014
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Fast foreign-key detection in Microsoft SQL server PowerPivot for Excel
Zhimin Chen, Vivek Narasayya, Surajit Chaudhuri
Proceedings of the VLDB Endowment | August 2014
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Discovering Queries based on Example Tuples
Yanyan Shen, Kaushik Chakrabarti, Surajit Chaudhuri, Bolin Ding, Lev Novik
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2014) | June 2014
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2014)
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Database Application Developer Tools Using Static Analysis and Dynamic Profiling
Surajit Chaudhuri, Vivek Narasayya, Manoj Syamala
IEEE Data Eng. Bull. | March 2014, 第 37 卷: pp. 38-47
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A Demonstration of SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service
Vivek Narasayya, Sudipto Das, Manoj Syamala, Surajit Chaudhuri, Feng Li, Hyunjung Park
SIGMOD 2013 | June 2013
SIGMOD 2013
ISBN: 978-1-4503-2037-5
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SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service
Vivek Narasayya, Sudipto Das, Manoj Syamala, Badrish Chandramouli, Surajit Chaudhuri
CIDR 2013 | January 2013
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Experiences with using Data Cleaning Technology for Bing Services
Arvind Arasu, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Raghav Kaushik, Vivek Narasayya
Data Engineering Bulletin | June 2012
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Targeted Disambiguation of Ad-hoc, Homogeneous Sets of Named Entities
Chi Wang, Kaushik Chakrabarti, Tao Cheng, Surajit Chaudhuri
Proceeding of 2012 International World Wide Web Conference | April 2012
Proceeding of 2012 International World Wide Web Conference
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Targeted Disambiguation of Ad-hoc, Homogeneous Sets of Named Entities
Chi Wang, Kaushik Chakrabarti, Tao Cheng, Surajit Chaudhuri
World Wide Web Conference | January 2012
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InfoGather: Entity Augmentation and Attribute Discovery By Holistic Matching with Web Tables
Mohamed Yakout, Kris Ganjam, Kaushik Chakrabarti, Surajit Chaudhuri
ACM SIGMOD Conference | January 2012
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A Statistical Approach Towards Robust Progress Estimation
Arnd Christian König, Arnd Christian König, Bolin Ding, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the VLDB Endowment, the 38th International Conference on Very Large Data Bases (VLDB 2012) | January 2012
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Towards a Domain Independent Platform for Data Cleaning
Arvind Arasu, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Raghav Kaushik, Vivek Narasayya
Data Engineering Bulletin | September 2011
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Database Access Control & Privacy: Is There A Common Ground?
Surajit Chaudhuri, Raghav Kaushik, Ravi Ramamurthy
Conference on Innovative Database Research | January 2011
Conference on Innovative Database Research
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Rule Profiling for Query Optimizers and their Implications
Surajit Chaudhuri, Leo Giakoumakis, Vivek Narasayya, Ravi Ramamurthy
International Conference of Data Engineering (ICDE) | March 2010
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Constrained Physical Design Tuning
Nicolas Bruno, Surajit Chaudhuri
VLDB Journal | January 2010
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Learning String Transformations from Examples
Arvind Arasu, Surajit Chaudhuri, Raghav Kaushik
VLDB | August 2009
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Interactive Plan Hints for Query Optimization
Nicolas Bruno, Surajit Chaudhuri, Ravi Ramamurthy
SIGMOD | June 2009
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Constrained Physical Design Tuning
VLDB Journal | May 2009
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Power Hints for Query Optimization
Nicolas Bruno, Surajit Chaudhuri, Ravi Ramamurthy
Proceedings of the International Conference on Data Engineering (ICDE) | January 2009
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An Efficient Filter for Approximate Membership Checking
Kaushik Chakrabarti, Surajit Chaudhuri, Venkatesh Ganti, Dong Xin
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2008) | June 2008
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Incorporating String Transformations in Record Matching
Arvind Arasu, Surajit Chaudhuri, Kris Ganjam, Raghav Kaushik
SIGMOD | June 2008
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Constrained Physical Design Tuning
Surajit Chaudhuri, Nicolas Bruno
Proceedings of the International Conference on Very Large Databases (VLDB) | January 2008
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Physical design refinement: The merge-reduce approach
Nicolas Bruno, Surajit Chaudhuri
Transactions on Database Systems | January 2007
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Online autoadmin: (physical design tuning)
Nicolas Bruno, Surajit Chaudhuri
SIGMOD | January 2007
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Stop-and-Restart Style Execution for Long Running Decision Support Queries
Surajit Chaudhuri, Raghav Kaushik, Abhijit Pol, Ravi Ramamurthy
VLDB | January 2007
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Leveraging Aggregate Constraints for Deduplication
Surajit Chaudhuri, Anish Das Sarma, Venky Ganti, Raghav Kaushik
SIGMOD | January 2007
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To Tune or not to Tune? A Lightweight Physical Design Alerter
Surajit Chaudhuri, Nicolas Bruno
Proceedings of the International Conference on Very Large Databases (VLDB) | January 2006
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Generating Queries with Cardinality Constraints for DBMS Testing
Nicolas Bruno, Surajit Chaudhuri, Dilys Thomas
Transactions on Knowledge and Data Engineering | January 2006
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AutoAdmin: Self-Tuning Database Systems Technology
Sanjay Agrawal, Nicolas Bruno, Surajit Chaudhuri, Vivek Narasayya
Data Engineering Bulletin | January 2006
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Data Cleaning in Microsoft SQL Server 2005
Surajit Chaudhuri, Kris Ganjam, Rahul Kapoor, Vivek Narasayya, Theo Vassilakis
SIGMOD | June 2005
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Flexible Database Generators
Nicolas Bruno, Surajit Chaudhuri
January 2005
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Conditional Selectivity for Statistics on Query Expressions
Nicolas Bruno, Surajit Chaudhuri
SIGMOD | January 2004
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Automatic Categorization of Query Results
Kaushik Chakrabarti, Surajit Chaudhuri, Seung-won Hwang
ACM SIGMOD Conference | January 2004
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MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark
Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Lingjiao Chen, Dongmei Zhang, Surajit Chaudhuri, H. V. Jagadish
NeurIPS 2025 | November 2025
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Table-Specialist: Language Model Specialists for Tables using Iterative Fine-tuning
Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Dongmei Zhang, Surajit Chaudhuri
EMNLP 2025 | November 2025
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Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks
Peng Li, Yeye He, Dror Yashar, Weiwei Cui, Song Ge, Haidong Zhang, Danielle Rifinski Fainman, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2024 | June 2024
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Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations
Sibei Chen, Yeye He, Weiwei Cui, Ju Fan, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2024 | June 2024
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Budget-aware Index Tuning with Reinforcement Learning (Extended Version)
Wentao Wu, Chi Wang, Tarique Siddiqui, Junxiong Wang, Vivek Narasayya, Surajit Chaudhuri, Phil Bernstein
ACM SIGMOD International Conference on Management of Data (SIGMOD 2022) | June 2022
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Pre-training Summarization Models of Structured Datasets for Cardinality Estimation
Yao Lu, Srikanth Kandula, Arnd Christian König, Surajit Chaudhuri
VLDB | November 2021
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Efficiently Approximating Selectivity Functions using Low Overhead Regression Models
Anshuman Dutt, Chi Wang, Vivek Narasayya, Surajit Chaudhuri
46th International Conference on Very Large Data Bases (VLDB 2020) | August 2020
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AI Meets AI: Leveraging Query Executions to Improve Index Recommendations
Bailu Ding, Sudipto Das, Ryan Marcus, Wentao Wu, Surajit Chaudhuri, Vivek Narasayya
ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD 2019) | May 2019
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Efficient Identification of Approximate Best Configuration of Training in Large Datasets
Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri
Proceedings of the 33rd AAAI Conference on Artificial Intelligence | January 2019
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ABC: Efficient Selection of Machine Learning Configuration on Large Dataset
Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri
AAAI 2019 | January 2019
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Interactive Demonstration of Probabilistic Predicates
Yao Lu, Srikanth Kandula, Surajit Chaudhuri
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2018) | June 2018
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MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark
Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Lingjiao Chen, Dongmei Zhang, Surajit Chaudhuri, H. V. Jagadish
NeurIPS 2025 | November 2025
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Comparison of Centralized and Distributed Provisioning of Lightpaths in Mesh Restored Optical Networks
Ravi Ramamurthy, Sudipta Sengupta, Surajit Chaudhuri
Optical Fiber Communication (OFC) Conference, Anaheim (USA) | March 2001
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Capacity Performance of Dynamic Provisioning in Optical Networks
Ravi Ramamurthy, Z. Bogdanowicz, S. Samieian, D. Saha, B. Rajagopalan, Sudipta Sengupta, Surajit Chaudhuri, K. Bala
Invited paper, IEEE/OSA Journal of Lightwave Technology | January 2001, 第 19 卷(1): pp. 40-48
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Flexible Resource Allocation for Relational Database-as-a-Service
Pankaj Arora, Surajit Chaudhuri, Sudipto Das, Junfeng Dong, Cyril George, Ajay Kalhan, Arnd Christian König, Willis Lang, Changsong Li, Feng Li, Jiaqi Liu, Lukas M. Maas, Akshay Mata, Ishai Menache, Justin Moeller, Vivek Narasayya, Matthaios Olma, Morgan Oslake, Elnaz Rezai, Yi Shan, Manoj Syamala, Shize Xu, Vasileios Zois
49th International Conference on Very Large Data Bases | October 2023
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DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning (Extended Version)
Tarique Siddiqui, Wentao Wu, Vivek Narasayya, Surajit Chaudhuri
VLDB 2022 | August 2022
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Data-induced predicates for sideways information passing in query optimizers
Srikanth Kandula, Laurel Orr, Surajit Chaudhuri
The VLDB Journal | August 2021
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Pushing Data-Induced Predicates Through Joins in Big-Data Clusters
Srikanth Kandula, Laurel Orr, Surajit Chaudhuri
VLDB | August 2020
Best Paper Runner-Up
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Selectivity Estimation for Range Predicates using Lightweight Models
Anshuman Dutt, Chi Wang, Azade Nazi, Srikanth Kandula, Vivek Narasayya, Surajit Chaudhuri
45th International Conference on Very Large Data Bases (VLDB 2019) | August 2019
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Experiences with Approximating Queries in Microsoft’s Production Big-Data Clusters
Srikanth Kandula, Kukjin Lee, Surajit Chaudhuri, Marc Friedman
VLDB | August 2019, 第 12 卷(12)
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Interactive Demonstration of Probabilistic Predicates
Yao Lu, Srikanth Kandula, Surajit Chaudhuri
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2018) | June 2018
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Accelerating Machine Learning Inference with Probabilistic Predicates
Yao Lu, Aakanksha Chowdhery, Srikanth Kandula, Surajit Chaudhuri
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2018) | June 2018
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Approximate Query Processing: No Silver Bullet
Surajit Chaudhuri, Bolin Ding, Srikanth Kandula
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2017) | May 2017
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Quickr: Lazily Approximating Complex Ad-Hoc Queries in Big Data Clusters
Srikanth Kandula, Anil Shanbhag, Aleksandar Vitorovic, Matthaios Olma, Robert Grandl, Surajit Chaudhuri, Bolin Ding
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2016) | June 2016
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A Demonstration of SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service
Vivek Narasayya, Sudipto Das, Manoj Syamala, Surajit Chaudhuri, Feng Li, Hyunjung Park
SIGMOD 2013 | June 2013
SIGMOD 2013
ISBN: 978-1-4503-2037-5
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SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service
Vivek Narasayya, Sudipto Das, Manoj Syamala, Badrish Chandramouli, Surajit Chaudhuri
CIDR 2013 | January 2013
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Rethinking Query Processing for Energy Efficiency: Slowing Down to Win the Race.
Nicolas Bruno, Surajit Chaudhuri, Arnd Christian König, Vivek Narasayya, Ravi Ramamurthy, Manoj Syamala
IEEE Data(base) Engineering Bulletin | November 2011, 第 34 卷: pp. 12-19
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Fine Grained Authorization Through Predicated Grants
Surajit Chaudhuri, Tanmoy Dutta, S Sudarshan
IEEE International Conference on Data Engineering | April 2007
IEEE International Conference on Data Engineering
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Reliability in Single Domain vs. Multi Domain Optical Mesh Networks
A. A. Akyamac, Sudipta Sengupta, Surajit Chaudhuri
National Fiber Optic Engineers Conference (NFOEC) 2002, Dallas (USA) | October 2002
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Analysis of Enhanced OSPF for Routing Lightpaths in Optical Mesh Networks
Sudipta Sengupta, D. Saha, Surajit Chaudhuri
IEEE International Conference on Communications (ICC) 2002, New York (USA) | April 2002
ISBN: 0-7803-7400-2
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PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication
Yue Wang, Vivek Narasayya, Yeye He, Surajit Chaudhuri
VLDB 2022 | February 2022
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Sample + Seek: Approximating Aggregates with Distribution Precision Guarantee
Bolin Ding, Silu Huang, Surajit Chaudhuri, Kaushik Chakrabarti, Chi Wang
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2016) | July 2016
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An Online Approach to Physical Design Tuning
Surajit Chaudhuri, Nicolas Bruno
Proceedings of the International Conference on Data Engineering (ICDE) | January 2007
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Robust and Efficient Fuzzy Match for Online Data Cleaning
Surajit Chaudhuri, Kris Ganjam, Venky Ganti, Rajeev Motwani
January 2003
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Interactive Demonstration of Probabilistic Predicates
Yao Lu, Srikanth Kandula, Surajit Chaudhuri
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2018) | June 2018
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AutoTag’n Search My Photos: Leveraging the Social Graph for Photo Tagging
Shobana Balakrishnan, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the 24th International Conference on World Wide Web Conference | May 2015
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A Robust, Optimization-Based Approach for Approximate Answering of Aggregate Queries
Surajit Chaudhuri, Gautam Das, Vivek Narasayya
MSR-TR-2001-37 | May 2001
Technical Report UU-CS-2001-35, Departement of Computer Science, Universiteit Utrecht
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Overcoming Limitations of Sampling for Aggregation Queries
Mayur Datar, Rajeev Motwani, Vivek Narasayya, Gautam Das, Surajit Chaudhuri
17th International Conference on Data Engineering | April 2001
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Automating Statistics Management for Query Optimizers
Surajit Chaudhuri, Vivek Narasayya
16th International Conference on Data Engineering | March 2000
16th International Conference on Data Engineering
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Integration of Data Mining and Relational Databases
Amir Netz, Jeff Bernhardt, Usama Fayyad, Surajit Chaudhuri
Proceedings of the 26th International Conference on Very Large Databases | January 2000
Proceedings of the 26th International Conference on Very Large Databases
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On Random Sampling over Joins
Surajit Chaudhuri, Rajeev Motwani, Vivek Narasayya
SIGMOD | June 1999
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Index Merging
Surajit Chaudhuri, Vivek Narasayya
15th International Conference on Data Engineering | April 1999
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Random Sampling for Histogram Construction: How Much is Enough?
Surajit Chaudhuri, Rajeev Motwani, Vivek Narasayya
SIGMOD | June 1998
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AutoAdmin “What-If” Index Analysis Utility
Surajit Chaudhuri, Vivek Narasayya
SIGMOD | June 1998
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An Overview of Query Optimization in Relational Systems (paper)
January 1998
Proceedings of 1998 ACM PODS
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An Overview of Query Optimization in Relational Systems (slides)
Proceedings of 1998 ACM PODS | January 1998
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On the Efficient Gathering of Sufficient Statistics for Classification from Large SQL Databases
Goetz Graefe, Usama Fayyad, Surajit Chaudhuri
Proceedings of the Fourth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining | January 1998
Proceedings of the Fourth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
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An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server
Surajit Chaudhuri, Vivek Narasayya
VLDB | August 1997
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An Overview of Data Warehousing and OLAP Technology
Surajit Chaudhuri, Umeshwar Dayal
Sigmod Record | March 1997
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Data Services Leveraging Bing’s Data Assets
Kaushik Chakrabarti, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam
Bulletin of the IEEE Computer Society Technical Committee on Data Engineering | September 2016
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S4: Top-k Spreadsheet-Style Search for Query Discovery
Fotis Psallidas, Bolin Ding, Kaushik Chakrabarti, Surajit Chaudhuri
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2015) | June 2015
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AutoTag’n Search My Photos: Leveraging the Social Graph for Photo Tagging
Shobana Balakrishnan, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the 24th International Conference on World Wide Web Conference | May 2015
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Finding Patterns in a Knowledge Base using Keywords to Compose Table Answers
Mohan Yang, Bolin Ding, Surajit Chaudhuri, Kaushik Chakrabarti
Proceedings of the VLDB Endowment, the 41st International Conference on Very Large Data Bases (VLDB 2015) | September 2014
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Discovering Queries based on Example Tuples
Yanyan Shen, Kaushik Chakrabarti, Surajit Chaudhuri, Bolin Ding, Lev Novik
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2014) | June 2014
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2014)
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Data Services for E-tailers Leveraging Web Search Engine Assets
Tao Cheng, Kaushik Chakrabarti, Surajit Chaudhuri, Vivek Narasayya, Manoj Syamala
ICDE Conference | April 2013
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Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques
Jiexing Li, Arnd Christian König, Arnd Christian König, Vivek Narasayya, Surajit Chaudhuri
38th International Conference on Very Large Databases | August 2012
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Targeted Disambiguation of Ad-hoc, Homogeneous Sets of Named Entities
Chi Wang, Kaushik Chakrabarti, Tao Cheng, Surajit Chaudhuri
Proceeding of 2012 International World Wide Web Conference | April 2012
Proceeding of 2012 International World Wide Web Conference
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A Statistical Approach Towards Robust Progress Estimation
Arnd Christian König, Surajit Chaudhuri, Vivek Narasayya, Bolin Ding
38th International Conference on Very Large Databases | January 2012
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Targeted Disambiguation of Ad-hoc, Homogeneous Sets of Named Entities
Chi Wang, Kaushik Chakrabarti, Tao Cheng, Surajit Chaudhuri
World Wide Web Conference | January 2012
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InfoGather: Entity Augmentation and Attribute Discovery By Holistic Matching with Web Tables
Mohamed Yakout, Kris Ganjam, Kaushik Chakrabarti, Surajit Chaudhuri
ACM SIGMOD Conference | January 2012
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A Framework for Robust Discovery of Entity Synonyms
Kaushik Chakrabarti, Surajit Chaudhuri, Tao Cheng
SIGKDD | January 2012
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AutoAdmin Project at Microsoft Research: Lessons Learned
Surajit Chaudhuri, Arnd Christian König, Arnd Christian König, Vivek Narasayya, Ravi Ramamurthy, Manoj Syamala, Nicolas Bruno (nicolasbruno)
Bulletin of the IEEE Computer Society Technical Committee on Data Engineering | December 2011
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Interval-Based Pruning for Top-k Processing over Compressed Lists
Kaushik Chakrabarti, Surajit Chaudhuri, Venkatesh Ganti
ICDE Conference | April 2011
ICDE Conference
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Automatically Tagging Entities with Descriptive Phrases
Kaushik Chakrabarti, Surajit Chaudhuri, Tao Cheng, Dong Xin
WWW (Poster paper) | January 2011
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Query Portals: Dynamically Generating Portals for Entity-Oriented Web Queries
Sanjay Agrawal, Kaushik Chakrabarti, Surajit Chaudhuri, Venkatesh Ganti, Arnd Christian König, Arnd Christian König, Dong Xin
International Conference on Management of Data (SIGMOD 2010) | June 2010
International Conference on Management of Data (SIGMOD 2010)
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Interactive Physical Design Tuning
Nicolas Bruno, Surajit Chaudhuri
ICDE | April 2010
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Extending Autocompletion to Tolerate Errors
Surajit Chaudhuri, Raghav Kaushik
ACM SIGMOD | June 2009
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Exploiting Web Search Engines to Search Structured Information
Sanjay Agrawal, Surajit Chaudhuri, Kaushik Chakrabarti, Venkatesh Ganti, Dong Xin, Arnd Christian König, Arnd Christian König, Venky Ganti
18th International World Wide Web Conference (WWW 2009) | April 2009
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Query Portals: Dynamically Generating Portals for Web
Sanjay Agrawal, Kaushik Chakrabarti, Surajit Chaudhuri, Venky Ganti, Arnd Christian König, Dong Xin
18th International World Wide Web Conference (WWW 2009) | April 2009
18th International World Wide Web Conference (WWW 2009)
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A Pay-As-You-Go Framework for Query Execution Feedback
Surajit Chaudhuri, Vivek Narasayya, Ravi Ramamurthy
VLDB | August 2008
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Transformation-based Framework for Record Matching
Arvind Arasu, Surajit Chaudhuri, Raghav Kaushik
Proceedings of the 24th International Conference on Data Engineering, ICDE 2008 | June 2008
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Diagnosing Estimation Errors in Page Counts using Execution Feedback
Surajit Chaudhuri, Vivek Narasayya, Ravi Ramamurthy
24th International Conference on Data Engineering | April 2008
24th International Conference on Data Engineering
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Scalable Adhoc Entity Extraction from Text Collections
Sanjay Agrawal, Kaushik Chakrabarti, Surajit Chaudhuri, Venky Ganti
VLDB Conference | January 2008
VLDB Conference
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Self-Tuning Database Systems: A Decade of Progress
Surajit Chaudhuri, Vivek Narasayya
VLDB | September 2007
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Bridging the Application and DBMS Profiling Divide for Database Application Developers
Surajit Chaudhuri, Vivek Narasayya, Manoj Syamala
VLDB | September 2007
VLDB
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Heavy-Tailed Distributions and Multi-Keyword Queries
Surajit Chaudhuri, Kenneth Church, Liying Sui, Arnd Christian König, Arnd Christian König, Ken Church
30th ACM SIGIR International Conference on Research & Developement on Information Retreival | July 2007
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Example Driven Design of Efficient Record Matching Queries
Surajit Chaudhuri, Bee Chung Chen, Venky Ganti, Raghav Kaushik
VLDB | January 2007
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Stop-and-Restart Style Execution for Long Running Decision Support Queries
Surajit Chaudhuri, Raghav Kaushik, Abhijit Pol, Ravi Ramamurthy
VLDB | January 2007
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A Primitive Operator for Similarity Joins in Data Cleaning
Surajit Chaudhuri, Venky Ganti, Raghav Kaushik
ICDE | January 2006
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Robust Cardinality and Cost Estimation for Skyline Operator
Surajit Chaudhuri, Nilesh Dalvi, Raghav Kaushik
ICDE | January 2006
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When Can we Trust Progress Estimators for SQL Queries?
Surajit Chaudhuri, Raghav Kaushik, Ravishankar Ramamurthy, Ravi Ramamurthy
SIGMOD | January 2005
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Database Tuning Advisor for Microsoft SQL Server 2005
Sanjay Agrawal, Surajit Chaudhuri, Lubor Kollar, Arun Marathe, Vivek Narasayya, Manoj Syamala
VLDB | August 2004
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Estimating Progress of Execution for SQL Queries
Surajit Chaudhuri, Vivek Narasayya, Ravi Ramamurthy
SIGMOD | June 2004
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SQLCM: A Contiuous Monitoring Framework for Relational Database Engines
Surajit Chaudhuri, Arnd Christian König, Vivek Narasayya
20th International Conference on Data Engineering | March 2004
20th International Conference on Data Engineering
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Automatic Categorization of Query Results
Kaushik Chakrabarti, Surajit Chaudhuri, Seung-won Hwang
ACM SIGMOD Conference | January 2004
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Primitives for Workload Summarization and Implications for SQL
Surajit Chaudhuri, Prasanna Ganesan, Vivek Narasayya
VLDB | September 2003
VLDB
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Robust and Efficient Fuzzy Match for Online Data Cleaning
Surajit Chaudhuri, Kris Ganjam, Venky Ganti, Rajeev Motwani
January 2003
-
Databases and IR: Perspectives of a SQL Guy
NSF Information and Data Management PI Workshop | January 2003
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Databases and IR: Perspectives of a SQL Guy
January 2003
NSF Information and Data Management PI Workshop
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On Relational Support for XML Publishing: Beyond Sorting and Tagging
Surajit Chaudhuri, Raghav Kaushik, Jeffrey F. Naughton
SIGMOD | January 2003
SIGMOD
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DBXplorer: Enabling Keyword Search over Relational Databases
Sanjay Agrawal, Surajit Chaudhuri, Gautam Das
ACM SIGMOD 2002 | June 2002
ISBN: 1-58113-497-5
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Compressing SQL Workloads
Surajit Chaudhuri, Vivek Narasayya
SIGMOD | June 2002
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Efficient Evaluation of Queries with Mining Predicates
Surajit Chaudhuri, Sunita Sarawagi, Vivek Narasayya
Proceedings of 18th International Conference on Data Engineering | January 2002
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STHoles: A Multidimensional Workload-Aware Histogram
Nicolas Bruno, Surajit Chaudhuri, Luis Gravano
MSR-TR-2001-36 | March 2001
作者：Microsoft
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Accurate Query Optimization by Sub-plan Memoization
Ashraf Aboulnaga, Surajit Chaudhuri
MSR-TR-1999-102 | December 1999
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A Statistical Approach Towards Robust Progress Estimation
Arnd Christian König, Arnd Christian König, Bolin Ding, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the VLDB Endowment, the 38th International Conference on Very Large Data Bases (VLDB 2012) | January 2012
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Rule Profiling for Query Optimizers and their Implications
Surajit Chaudhuri, Leo Giakoumakis, Vivek Narasayya, Ravi Ramamurthy
International Conference of Data Engineering (ICDE) | March 2010
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Automatic Physical Database Tuning: A Relaxation-based Approach
Nicolas Bruno, Surajit Chaudhuri
Proceedings of the ACM International Conference on Management of Data (SIGMOD) | January 2005
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The Microsoft Database Research Group
Surajit Chaudhuri, Per-Ake Larson, Vivek Narasayya, David Lomet, , Paul Larson
January 1998
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Variance Aware Optimization of Parameterized Queries
Surajit Chaudhuri, Vivek Narasayya, Hongrae Lee
ACM SIGMOD | June 2010
ACM SIGMOD
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Fine Grained Authorization Through Predicated Grants
Surajit Chaudhuri, Tanmoy Dutta, S Sudarshan
IEEE International Conference on Data Engineering | April 2007
IEEE International Conference on Data Engineering
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-
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Capacity Performance of Dynamic Provisioning in Optical Networks
Ravi Ramamurthy, Z. Bogdanowicz, S. Samieian, D. Saha, B. Rajagopalan, Sudipta Sengupta, Surajit Chaudhuri, K. Bala
Invited paper, IEEE/OSA Journal of Lightwave Technology | January 2001, 第 19 卷(1): pp. 40-48
-
An Overview of Data Warehousing and OLAP Technology
Surajit Chaudhuri, Umeshwar Dayal
Sigmod Record | March 1997
-
Understanding and Detecting Query Performance Regression in Practical Index Tuning
Wentao Wu, Anshuman Dutt, Gaoxiang Xu, Vivek Narasayya, Surajit Chaudhuri
Proceedings of the ACM on Management of Data (SIGMOD 2026) | December 2025, 第 3 卷(6)
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Wii: Dynamic Budget Reallocation In Index Tuning (Extended Version)
Xiaoying Wang, Wentao Wu, Chi Wang, Vivek Narasayya, Surajit Chaudhuri
Proceedings of the ACM on Management of Data (SIGMOD 2024) | June 2024, 第 2 卷(3)
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Wred: Workload Reduction for Scalable Index Tuning
Matteo Brucato, Tarique Siddiqui, Wentao Wu, Vivek Narasayya, Surajit Chaudhuri
Proceedings of the ACM on Management of Data (SIGMOD 2024) | March 2024, 第 2 卷(1)
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Analyzing the Impact of Cardinality Estimation on Execution Plans in Microsoft SQL Server
Kukjin Lee, Anshuman Dutt, Vivek Narasayya, Surajit Chaudhuri
PVLDB | September 2023, 第 16 卷(11): pp. 2871-2883
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High-Performance Row Pattern Recognition Using Joins
Erkang (Eric) Zhu, Silu Huang, Surajit Chaudhuri
Proceedings of the VLDB Endowment | February 2023, 第 16 卷(5): pp. 1181-1194
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Data-induced predicates for sideways information passing in query optimizers
Srikanth Kandula, Laurel Orr, Surajit Chaudhuri
The VLDB Journal | August 2021
-
Experiences with Approximating Queries in Microsoft’s Production Big-Data Clusters
Srikanth Kandula, Kukjin Lee, Surajit Chaudhuri, Marc Friedman
VLDB | August 2019, 第 12 卷(12)
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Data Services Leveraging Bing’s Data Assets
Kaushik Chakrabarti, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Yeye He
September 2016
-
Data Services Leveraging Bing’s Data Assets
Kaushik Chakrabarti, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam
Bulletin of the IEEE Computer Society Technical Committee on Data Engineering | September 2016
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Database Application Developer Tools Using Static Analysis and Dynamic Profiling
Surajit Chaudhuri, Vivek Narasayya, Manoj Syamala
IEEE Data Eng. Bull. | March 2014, 第 37 卷: pp. 38-47
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Experiences with using Data Cleaning Technology for Bing Services
Arvind Arasu, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Raghav Kaushik, Vivek Narasayya
Data Engineering Bulletin | June 2012
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AutoAdmin Project at Microsoft Research: Lessons Learned
Surajit Chaudhuri, Arnd Christian König, Arnd Christian König, Vivek Narasayya, Ravi Ramamurthy, Manoj Syamala, Nicolas Bruno (nicolasbruno)
Bulletin of the IEEE Computer Society Technical Committee on Data Engineering | December 2011
-
Rethinking Query Processing for Energy Efficiency: Slowing Down to Win the Race.
Nicolas Bruno, Surajit Chaudhuri, Arnd Christian König, Vivek Narasayya, Ravi Ramamurthy, Manoj Syamala
IEEE Data(base) Engineering Bulletin | November 2011, 第 34 卷: pp. 12-19
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Towards a Domain Independent Platform for Data Cleaning
Arvind Arasu, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Raghav Kaushik, Vivek Narasayya
Data Engineering Bulletin | September 2011
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Constrained Physical Design Tuning
VLDB Journal | May 2009
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Overcoming Limitations of Sampling for Aggregation Queries
Mayur Datar, Rajeev Motwani, Vivek Narasayya, Gautam Das, Surajit Chaudhuri
17th International Conference on Data Engineering | April 2001
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Comparison of Centralized and Distributed Provisioning of Lightpaths in Mesh Restored Optical Networks
Ravi Ramamurthy, Sudipta Sengupta, Surajit Chaudhuri
Optical Fiber Communication (OFC) Conference, Anaheim (USA) | March 2001
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Automated Selection of Materialized Views and Indexes for SQL Databases.
Sanjay Agrawal, Surajit Chaudhuri, Vivek Narasayya
VLDB | September 2000
VLDB
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Automating Statistics Management for Query Optimizers
Surajit Chaudhuri, Vivek Narasayya
16th International Conference on Data Engineering | March 2000
16th International Conference on Data Engineering
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Integration of Data Mining and Relational Databases
Amir Netz, Jeff Bernhardt, Usama Fayyad, Surajit Chaudhuri
Proceedings of the 26th International Conference on Very Large Databases | January 2000
Proceedings of the 26th International Conference on Very Large Databases
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On Random Sampling over Joins
Surajit Chaudhuri, Rajeev Motwani, Vivek Narasayya
SIGMOD | June 1999
-
Index Merging
Surajit Chaudhuri, Vivek Narasayya
15th International Conference on Data Engineering | April 1999
-
Random Sampling for Histogram Construction: How Much is Enough?
Surajit Chaudhuri, Rajeev Motwani, Vivek Narasayya
SIGMOD | June 1998
-
AutoAdmin “What-If” Index Analysis Utility
Surajit Chaudhuri, Vivek Narasayya
SIGMOD | June 1998
-
The Microsoft Database Research Group
Surajit Chaudhuri, Per-Ake Larson, Vivek Narasayya, David Lomet, , Paul Larson
January 1998
-
An Overview of Query Optimization in Relational Systems (slides)
Proceedings of 1998 ACM PODS | January 1998
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On the Efficient Gathering of Sufficient Statistics for Classification from Large SQL Databases
Goetz Graefe, Usama Fayyad, Surajit Chaudhuri
Proceedings of the Fourth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining | January 1998
Proceedings of the Fourth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
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An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server
Surajit Chaudhuri, Vivek Narasayya
VLDB | August 1997
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MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark
Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Lingjiao Chen, Dongmei Zhang, Surajit Chaudhuri, H. V. Jagadish
NeurIPS 2025 | November 2025
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Table-Specialist: Language Model Specialists for Tables using Iterative Fine-tuning
Junjie Xing, Yeye He, Mengyu Zhou, Haoyu Dong, Shi Han, Dongmei Zhang, Surajit Chaudhuri
EMNLP 2025 | November 2025
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Auto-Prep: Holistic Prediction of Data Preparation Steps for Self-Service Business Intelligence
Eugenie Y. Lai, Yeye He, Surajit Chaudhuri
VLDB 2025 | September 2025
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Esc: An Early-stopping Checker for Budget-aware Index Tuning (Extended Version)
Xiaoying Wang, Wentao Wu, Vivek Narasayya, Surajit Chaudhuri
Proceedings of the VLDB Endowment (VLDB 2025) | August 2025
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Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables
Qixu Chen, Yeye He (yeyehe), Raymond Chi-Wing Wong, Weiwei Cui, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2025 | June 2025
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Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks
Peng Li, Yeye He, Dror Yashar, Weiwei Cui, Song Ge, Haidong Zhang, Danielle Rifinski Fainman, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2024 | June 2024
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Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations
Sibei Chen, Yeye He, Weiwei Cui, Ju Fan, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri
SIGMOD 2024 | June 2024
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Cache-Efficient Top-k Aggregation over High Cardinality Large Datasets
Tarique Siddiqui, Vivek Narasayya, Marius Dumitru, Surajit Chaudhuri
Proceedings of the VLDB Endowment (VLDB 2024) | December 2023
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Flexible Resource Allocation for Relational Database-as-a-Service
Pankaj Arora, Surajit Chaudhuri, Sudipto Das, Junfeng Dong, Cyril George, Ajay Kalhan, Arnd Christian König, Willis Lang, Changsong Li, Feng Li, Jiaqi Liu, Lukas M. Maas, Akshay Mata, Ishai Menache, Justin Moeller, Vivek Narasayya, Matthaios Olma, Morgan Oslake, Elnaz Rezai, Yi Shan, Manoj Syamala, Shize Xu, Vasileios Zois
49th International Conference on Very Large Data Bases | October 2023
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Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples
Peng Li, Yeye He, Cong Yan, Yue Wang, Surajit Chaudhuri
VLDB 2023 | August 2023
Best Paper Award
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Auto-Validate by-History: Auto Program Data Quality Constraints to Validate Recurring Data Pipelines
Dezhan Tu, Yeye He, Weiwei Cui, Song Ge, Haidong Zhang, Shi Han, Dongmei Zhang, Surajit Chaudhuri
KDD 2023 | August 2023
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Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph
Yiming Lin, Yeye He, Surajit Chaudhuri
VLDB 2023 | August 2023
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T-Rex: Optimizing Pattern Search on Time Series
Silu Huang, Erkang (Eric) Zhu, Surajit Chaudhuri, Leonhard Spiegelberg
SIGMOD 2023 | June 2023
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DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning (Extended Version)
Tarique Siddiqui, Wentao Wu, Vivek Narasayya, Surajit Chaudhuri
VLDB 2022 | August 2022
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Budget-aware Index Tuning with Reinforcement Learning (Extended Version)
Wentao Wu, Chi Wang, Tarique Siddiqui, Junxiong Wang, Vivek Narasayya, Surajit Chaudhuri, Phil Bernstein
ACM SIGMOD International Conference on Management of Data (SIGMOD 2022) | June 2022
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ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning (Extended Version)
Tarique Siddiqui, Saehan Jo, Wentao Wu, Chi Wang, Vivek Narasayya, Surajit Chaudhuri
ACM SIGMOD 2022 | June 2022
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PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication
Yue Wang, Vivek Narasayya, Yeye He, Surajit Chaudhuri
VLDB 2022 | February 2022
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Leveraging query logs and machine learning for parametric query optimization
Kapil Vaidya, Anshuman Dutt, Vivek Narasayya, Surajit Chaudhuri
VLDB 2022 | November 2021
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Pre-training Summarization Models of Structured Datasets for Cardinality Estimation
Yao Lu, Srikanth Kandula, Arnd Christian König, Surajit Chaudhuri
VLDB | November 2021
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DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems
Bailu Ding, Surajit Chaudhuri, Johannes Gehrke, Vivek Narasayya
VLDB 2022 | October 2021
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COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics
Tarique Siddiqui, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
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Hyperspace: The Indexing Subsystem of Azure Synapse
Rahul Potharaju, Terry Kim, Eunjin Song, Wentao Wu, Lev Novik, Apoorve Dave, Andrew Fogarty, Pouria Pirzadeh, Vidip Acharya, Gurleen Dhody, Jiying Li, Sinduja Ramanujam, Nicolas Bruno, Cesar Galindo-Legaria, Vivek Narasayya, Surajit Chaudhuri, Anil K. Nori, Tomas Talius, Raghu Ramakrishnan
Proceedings of the VLDB Endowment (VLDB 2021) | August 2021
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Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search
Junwen Yang, Yeye He, Surajit Chaudhuri
VLDB 2021 | July 2021
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Efficiently Approximating Selectivity Functions using Low Overhead Regression Models
Anshuman Dutt, Chi Wang, Vivek Narasayya, Surajit Chaudhuri
46th International Conference on Very Large Data Bases (VLDB 2020) | August 2020
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Pushing Data-Induced Predicates Through Joins in Big-Data Clusters
Srikanth Kandula, Laurel Orr, Surajit Chaudhuri
VLDB | August 2020
Best Paper Runner-Up
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Auto-Transform: Learning-to-Transform by Patterns
Zhongjun Jin, Yeye He, Surajit Chaudhuri
International Conference on Very Large Databases (VLDB) | August 2020
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Bitvector-aware Query Optimization for Decision Support Queries
Bailu Ding, Surajit Chaudhuri, Vivek Narasayya
ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD 2020) | June 2020
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Customizable and Scalable Fuzzy Join for Big Data
Zhimin Chen, Yue Wang, Vivek Narasayya, Surajit Chaudhuri
International Conference on Very Large Data Bases (PVLDB) | August 2019
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Selectivity Estimation for Range Predicates using Lightweight Models
Anshuman Dutt, Chi Wang, Azade Nazi, Srikanth Kandula, Vivek Narasayya, Surajit Chaudhuri
45th International Conference on Very Large Data Bases (VLDB 2019) | August 2019
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Automatically Indexing Millions of Databases in Microsoft Azure SQL Database
Sudipto Das, Miroslav Grbic, Igor Ilic, Isidora Jovandic, Andrija Jovanovic, Vivek Narasayya, Miodrag Radulovic, Maja Stikic, Gaoxiang Xu, Surajit Chaudhuri
ACM SIGMOD Conference | June 2019
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AI Meets AI: Leveraging Query Executions to Improve Index Recommendations
Bailu Ding, Sudipto Das, Ryan Marcus, Wentao Wu, Surajit Chaudhuri, Vivek Narasayya
ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD 2019) | May 2019
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Efficient Identification of Approximate Best Configuration of Training in Large Datasets
Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri
Proceedings of the 33rd AAAI Conference on Artificial Intelligence | January 2019
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ABC: Efficient Selection of Machine Learning Configuration on Large Dataset
Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri
AAAI 2019 | January 2019
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Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations
Yeye He, Kris Ganjam, Vivek Narasayya, Surajit Chaudhuri
International Conference on Very Large Databases (VLDB) | August 2018
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Plan Stitch: Harnessing the Best of Many Plans
Bailu Ding, Sudipto Das, Wentao Wu, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the VLDB Endowment (VLDB 2018) | July 2018
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Interactive Demonstration of Probabilistic Predicates
Yao Lu, Srikanth Kandula, Surajit Chaudhuri
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2018) | June 2018
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Accelerating Machine Learning Inference with Probabilistic Predicates
Yao Lu, Aakanksha Chowdhery, Srikanth Kandula, Surajit Chaudhuri
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2018) | June 2018
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Transform-Data-by-Example (TDE): Extensible Data Transformation in Excel
Yeye He, Kris Ganjam, Kukjin Lee, Yue Wang, Vivek Narasayya, Surajit Chaudhuri, Xu Chu
International Conference on Management of Data (SIGMOD) | June 2018
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Auto-Join: Joining Tables by Leveraging Transformations
Erkang Zhu, Yeye He, Surajit Chaudhuri
International Conference on Very Large Databases (VLDB) | May 2017
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Approximate Query Processing: No Silver Bullet
Surajit Chaudhuri, Bolin Ding, Srikanth Kandula
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2017) | May 2017
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Leveraging Re-costing for Online Optimization of Parameterized Queries with Guarantees
Anshuman Dutt, Vivek Narasayya, Surajit Chaudhuri
International Conference on Management of Data (SIGMOD) | May 2017
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Sample + Seek: Approximating Aggregates with Distribution Precision Guarantee
Bolin Ding, Silu Huang, Surajit Chaudhuri, Kaushik Chakrabarti, Chi Wang
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2016) | July 2016
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Operator and Query Progress Estimation in Microsoft SQL Server Live Query Statistics
Kukjin Lee, Arnd Christian König, Vivek Narasayya, Bolin Ding, Surajit Chaudhuri, Brent Ellwein, Alexey Eksarevskiy, Manbeen Kohli, Jacob Wyant, Praneeta Prakash, Rimma Nehme, Jiexing Li, Jeff Naughton
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2016) | June 2016
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2016)
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Sample + Seek: Approximating Aggregates with Distribution Precision Guarantee
Bolin Ding, Silu Huang, Surajit Chaudhuri, Kaushik Chakrabarti, Chi Wang
Proceedings of 2016 ACM SIGMOD International Conference on Management of Data (SIGMOD) | June 2016
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Quickr: Lazily Approximating Complex Ad-Hoc Queries in Big Data Clusters
Srikanth Kandula, Anil Shanbhag, Aleksandar Vitorovic, Matthaios Olma, Robert Grandl, Surajit Chaudhuri, Bolin Ding
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2016) | June 2016
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Sharing Buffer Pool Memory in Multi-Tenant Relational Database-as-a-Service
Vivek Narasayya, Ishai Menache, Mohit Singh, Feng Li, Manoj Syamala, Surajit Chaudhuri
Proceedings of the VLDB Endowment | August 2015
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S4: Top-k Spreadsheet-Style Search for Query Discovery
Fotis Psallidas, Bolin Ding, Kaushik Chakrabarti, Surajit Chaudhuri
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2015) | June 2015
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AutoTag’n Search My Photos: Leveraging the Social Graph for Photo Tagging
Shobana Balakrishnan, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the 24th International Conference on World Wide Web Conference | May 2015
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ClusterJoin: A Similarity Joins Framework using Map-Reduce
Akash Das Sarma, Yeye He, Surajit Chaudhuri
Proceedings of International Conference on Very Large Databases (VLDB) | September 2014
Proceedings of International Conference on Very Large Databases (VLDB)
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Finding Patterns in a Knowledge Base using Keywords to Compose Table Answers
Mohan Yang, Bolin Ding, Surajit Chaudhuri, Kaushik Chakrabarti
Proceedings of the VLDB Endowment, the 41st International Conference on Very Large Data Bases (VLDB 2015) | September 2014
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Fast foreign-key detection in Microsoft SQL server PowerPivot for Excel
Zhimin Chen, Vivek Narasayya, Surajit Chaudhuri
Proceedings of the VLDB Endowment | August 2014
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Discovering Queries based on Example Tuples
Yanyan Shen, Kaushik Chakrabarti, Surajit Chaudhuri, Bolin Ding, Lev Novik
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2014) | June 2014
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2014)
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A Demonstration of SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service
Vivek Narasayya, Sudipto Das, Manoj Syamala, Surajit Chaudhuri, Feng Li, Hyunjung Park
SIGMOD 2013 | June 2013
SIGMOD 2013
ISBN: 978-1-4503-2037-5
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Data Services for E-tailers Leveraging Web Search Engine Assets
Tao Cheng, Kaushik Chakrabarti, Surajit Chaudhuri, Vivek Narasayya, Manoj Syamala
ICDE Conference | April 2013
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SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service
Vivek Narasayya, Sudipto Das, Manoj Syamala, Badrish Chandramouli, Surajit Chaudhuri
CIDR 2013 | January 2013
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Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques
Jiexing Li, Arnd Christian König, Arnd Christian König, Vivek Narasayya, Surajit Chaudhuri
38th International Conference on Very Large Databases | August 2012
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Targeted Disambiguation of Ad-hoc, Homogeneous Sets of Named Entities
Chi Wang, Kaushik Chakrabarti, Tao Cheng, Surajit Chaudhuri
Proceeding of 2012 International World Wide Web Conference | April 2012
Proceeding of 2012 International World Wide Web Conference
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A Statistical Approach Towards Robust Progress Estimation
Arnd Christian König, Surajit Chaudhuri, Vivek Narasayya, Bolin Ding
38th International Conference on Very Large Databases | January 2012
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Targeted Disambiguation of Ad-hoc, Homogeneous Sets of Named Entities
Chi Wang, Kaushik Chakrabarti, Tao Cheng, Surajit Chaudhuri
World Wide Web Conference | January 2012
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InfoGather: Entity Augmentation and Attribute Discovery By Holistic Matching with Web Tables
Mohamed Yakout, Kris Ganjam, Kaushik Chakrabarti, Surajit Chaudhuri
ACM SIGMOD Conference | January 2012
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A Framework for Robust Discovery of Entity Synonyms
Kaushik Chakrabarti, Surajit Chaudhuri, Tao Cheng
SIGKDD | January 2012
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A Statistical Approach Towards Robust Progress Estimation
Arnd Christian König, Arnd Christian König, Bolin Ding, Surajit Chaudhuri, Vivek Narasayya
Proceedings of the VLDB Endowment, the 38th International Conference on Very Large Data Bases (VLDB 2012) | January 2012
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Interval-Based Pruning for Top-k Processing over Compressed Lists
Kaushik Chakrabarti, Surajit Chaudhuri, Venkatesh Ganti
ICDE Conference | April 2011
ICDE Conference
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Database Access Control & Privacy: Is There A Common Ground?
Surajit Chaudhuri, Raghav Kaushik, Ravi Ramamurthy
Conference on Innovative Database Research | January 2011
Conference on Innovative Database Research
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Automatically Tagging Entities with Descriptive Phrases
Kaushik Chakrabarti, Surajit Chaudhuri, Tao Cheng, Dong Xin
WWW (Poster paper) | January 2011
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Variance Aware Optimization of Parameterized Queries
Surajit Chaudhuri, Vivek Narasayya, Hongrae Lee
ACM SIGMOD | June 2010
ACM SIGMOD
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Query Portals: Dynamically Generating Portals for Entity-Oriented Web Queries
Sanjay Agrawal, Kaushik Chakrabarti, Surajit Chaudhuri, Venkatesh Ganti, Arnd Christian König, Arnd Christian König, Dong Xin
International Conference on Management of Data (SIGMOD 2010) | June 2010
International Conference on Management of Data (SIGMOD 2010)
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Interactive Physical Design Tuning
Nicolas Bruno, Surajit Chaudhuri
ICDE | April 2010
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Rule Profiling for Query Optimizers and their Implications
Surajit Chaudhuri, Leo Giakoumakis, Vivek Narasayya, Ravi Ramamurthy
International Conference of Data Engineering (ICDE) | March 2010
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Constrained Physical Design Tuning
Nicolas Bruno, Surajit Chaudhuri
VLDB Journal | January 2010
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Learning String Transformations from Examples
Arvind Arasu, Surajit Chaudhuri, Raghav Kaushik
VLDB | August 2009
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Extending Autocompletion to Tolerate Errors
Surajit Chaudhuri, Raghav Kaushik
ACM SIGMOD | June 2009
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Interactive Plan Hints for Query Optimization
Nicolas Bruno, Surajit Chaudhuri, Ravi Ramamurthy
SIGMOD | June 2009
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Exploiting Web Search Engines to Search Structured Information
Sanjay Agrawal, Surajit Chaudhuri, Kaushik Chakrabarti, Venkatesh Ganti, Dong Xin, Arnd Christian König, Arnd Christian König, Venky Ganti
18th International World Wide Web Conference (WWW 2009) | April 2009
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Query Portals: Dynamically Generating Portals for Web
Sanjay Agrawal, Kaushik Chakrabarti, Surajit Chaudhuri, Venky Ganti, Arnd Christian König, Dong Xin
18th International World Wide Web Conference (WWW 2009) | April 2009
18th International World Wide Web Conference (WWW 2009)
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Power Hints for Query Optimization
Nicolas Bruno, Surajit Chaudhuri, Ravi Ramamurthy
Proceedings of the International Conference on Data Engineering (ICDE) | January 2009
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A Pay-As-You-Go Framework for Query Execution Feedback
Surajit Chaudhuri, Vivek Narasayya, Ravi Ramamurthy
VLDB | August 2008
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An Efficient Filter for Approximate Membership Checking
Kaushik Chakrabarti, Surajit Chaudhuri, Venkatesh Ganti, Dong Xin
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2008) | June 2008
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Transformation-based Framework for Record Matching
Arvind Arasu, Surajit Chaudhuri, Raghav Kaushik
Proceedings of the 24th International Conference on Data Engineering, ICDE 2008 | June 2008
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Incorporating String Transformations in Record Matching
Arvind Arasu, Surajit Chaudhuri, Kris Ganjam, Raghav Kaushik
SIGMOD | June 2008
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Diagnosing Estimation Errors in Page Counts using Execution Feedback
Surajit Chaudhuri, Vivek Narasayya, Ravi Ramamurthy
24th International Conference on Data Engineering | April 2008
24th International Conference on Data Engineering
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Constrained Physical Design Tuning
Surajit Chaudhuri, Nicolas Bruno
Proceedings of the International Conference on Very Large Databases (VLDB) | January 2008
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Scalable Adhoc Entity Extraction from Text Collections
Sanjay Agrawal, Kaushik Chakrabarti, Surajit Chaudhuri, Venky Ganti
VLDB Conference | January 2008
VLDB Conference
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Self-Tuning Database Systems: A Decade of Progress
Surajit Chaudhuri, Vivek Narasayya
VLDB | September 2007
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Bridging the Application and DBMS Profiling Divide for Database Application Developers
Surajit Chaudhuri, Vivek Narasayya, Manoj Syamala
VLDB | September 2007
VLDB
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Heavy-Tailed Distributions and Multi-Keyword Queries
Surajit Chaudhuri, Kenneth Church, Liying Sui, Arnd Christian König, Arnd Christian König, Ken Church
30th ACM SIGIR International Conference on Research & Developement on Information Retreival | July 2007
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Fine Grained Authorization Through Predicated Grants
Surajit Chaudhuri, Tanmoy Dutta, S Sudarshan
IEEE International Conference on Data Engineering | April 2007
IEEE International Conference on Data Engineering
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An Online Approach to Physical Design Tuning
Surajit Chaudhuri, Nicolas Bruno
Proceedings of the International Conference on Data Engineering (ICDE) | January 2007
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Physical design refinement: The merge-reduce approach
Nicolas Bruno, Surajit Chaudhuri
Transactions on Database Systems | January 2007
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Online autoadmin: (physical design tuning)
Nicolas Bruno, Surajit Chaudhuri
SIGMOD | January 2007
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Example Driven Design of Efficient Record Matching Queries
Surajit Chaudhuri, Bee Chung Chen, Venky Ganti, Raghav Kaushik
VLDB | January 2007
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Stop-and-Restart Style Execution for Long Running Decision Support Queries
Surajit Chaudhuri, Raghav Kaushik, Abhijit Pol, Ravi Ramamurthy
VLDB | January 2007
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Leveraging Aggregate Constraints for Deduplication
Surajit Chaudhuri, Anish Das Sarma, Venky Ganti, Raghav Kaushik
SIGMOD | January 2007
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To Tune or not to Tune? A Lightweight Physical Design Alerter
Surajit Chaudhuri, Nicolas Bruno
Proceedings of the International Conference on Very Large Databases (VLDB) | January 2006
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Generating Queries with Cardinality Constraints for DBMS Testing
Nicolas Bruno, Surajit Chaudhuri, Dilys Thomas
Transactions on Knowledge and Data Engineering | January 2006
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AutoAdmin: Self-Tuning Database Systems Technology
Sanjay Agrawal, Nicolas Bruno, Surajit Chaudhuri, Vivek Narasayya
Data Engineering Bulletin | January 2006
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A Primitive Operator for Similarity Joins in Data Cleaning
Surajit Chaudhuri, Venky Ganti, Raghav Kaushik
ICDE | January 2006
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Robust Cardinality and Cost Estimation for Skyline Operator
Surajit Chaudhuri, Nilesh Dalvi, Raghav Kaushik
ICDE | January 2006
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Data Cleaning in Microsoft SQL Server 2005
Surajit Chaudhuri, Kris Ganjam, Rahul Kapoor, Vivek Narasayya, Theo Vassilakis
SIGMOD | June 2005
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Automatic Physical Database Tuning: A Relaxation-based Approach
Nicolas Bruno, Surajit Chaudhuri
Proceedings of the ACM International Conference on Management of Data (SIGMOD) | January 2005
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Flexible Database Generators
Nicolas Bruno, Surajit Chaudhuri
January 2005
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When Can we Trust Progress Estimators for SQL Queries?
Surajit Chaudhuri, Raghav Kaushik, Ravishankar Ramamurthy, Ravi Ramamurthy
SIGMOD | January 2005
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Database Tuning Advisor for Microsoft SQL Server 2005
Sanjay Agrawal, Surajit Chaudhuri, Lubor Kollar, Arun Marathe, Vivek Narasayya, Manoj Syamala
VLDB | August 2004
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Estimating Progress of Execution for SQL Queries
Surajit Chaudhuri, Vivek Narasayya, Ravi Ramamurthy
SIGMOD | June 2004
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SQLCM: A Contiuous Monitoring Framework for Relational Database Engines
Surajit Chaudhuri, Arnd Christian König, Vivek Narasayya
20th International Conference on Data Engineering | March 2004
20th International Conference on Data Engineering
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Conditional Selectivity for Statistics on Query Expressions
Nicolas Bruno, Surajit Chaudhuri
SIGMOD | January 2004
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Automatic Categorization of Query Results
Kaushik Chakrabarti, Surajit Chaudhuri, Seung-won Hwang
ACM SIGMOD Conference | January 2004
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Primitives for Workload Summarization and Implications for SQL
Surajit Chaudhuri, Prasanna Ganesan, Vivek Narasayya
VLDB | September 2003
VLDB
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Robust and Efficient Fuzzy Match for Online Data Cleaning
Surajit Chaudhuri, Kris Ganjam, Venky Ganti, Rajeev Motwani
January 2003
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Databases and IR: Perspectives of a SQL Guy
NSF Information and Data Management PI Workshop | January 2003
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On Relational Support for XML Publishing: Beyond Sorting and Tagging
Surajit Chaudhuri, Raghav Kaushik, Jeffrey F. Naughton
SIGMOD | January 2003
SIGMOD
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Reliability in Single Domain vs. Multi Domain Optical Mesh Networks
A. A. Akyamac, Sudipta Sengupta, Surajit Chaudhuri
National Fiber Optic Engineers Conference (NFOEC) 2002, Dallas (USA) | October 2002
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DBXplorer: Enabling Keyword Search over Relational Databases
Sanjay Agrawal, Surajit Chaudhuri, Gautam Das
ACM SIGMOD 2002 | June 2002
ISBN: 1-58113-497-5
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Compressing SQL Workloads
Surajit Chaudhuri, Vivek Narasayya
SIGMOD | June 2002
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Analysis of Enhanced OSPF for Routing Lightpaths in Optical Mesh Networks
Sudipta Sengupta, D. Saha, Surajit Chaudhuri
IEEE International Conference on Communications (ICC) 2002, New York (USA) | April 2002
ISBN: 0-7803-7400-2
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Efficient Evaluation of Queries with Mining Predicates
Surajit Chaudhuri, Sunita Sarawagi, Vivek Narasayya
Proceedings of 18th International Conference on Data Engineering | January 2002
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Extensible Query Optimizers in Practice
Bailu Ding, Vivek Narasayya, Surajit Chaudhuri
Published by Foundations and Trends® in Databases | December 2024, Vol 14
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A Robust, Optimization-Based Approach for Approximate Answering of Aggregate Queries
Surajit Chaudhuri, Gautam Das, Vivek Narasayya
MSR-TR-2001-37 | May 2001
Technical Report UU-CS-2001-35, Departement of Computer Science, Universiteit Utrecht
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STHoles: A Multidimensional Workload-Aware Histogram
Nicolas Bruno, Surajit Chaudhuri, Luis Gravano
MSR-TR-2001-36 | March 2001
作者：Microsoft
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Accurate Query Optimization by Sub-plan Memoization
Ashraf Aboulnaga, Surajit Chaudhuri
MSR-TR-1999-102 | December 1999
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High-Performance Row Pattern Recognition Using Joins (Technical Report)
Erkang (Eric) Zhu, Silu Huang, Surajit Chaudhuri
MSR-TR-2022-34 | May 2022
作者：Microsoft
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COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics (Extended Version)
Tarique Siddiqui, Surajit Chaudhuri, Vivek Narasayya
MSR-TR-2021-13 | July 2021
作者：Microsoft Research
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Bitvector-aware Query Optimization for Decision Support Queries (extended version)
Bailu Ding, Surajit Chaudhuri, Vivek Narasayya
MSR-TR-2020-8 | April 2020
作者：Microsoft
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An Overview of Query Optimization in Relational Systems (paper)
January 1998
Proceedings of 1998 ACM PODS
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Databases and IR: Perspectives of a SQL Guy
January 2003
NSF Information and Data Management PI Workshop
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