Surajit Chaudhuri

Technical Fellow, Data Platforms and Analytics

출판물

자료 보기:

- 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, 제 3 권(6)
  
  Publication
- 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
  
  Publication
- 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
  
  Preprint
- Auto-Prep: Holistic Prediction of Data Preparation Steps for Self-Service Business Intelligence
  
  Eugenie Y. Lai, Yeye He, Surajit Chaudhuri
  
  VLDB 2025 | September 2025
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- Extensible Query Optimizers in Practice
  
  Bailu Ding, Vivek Narasayya, Surajit Chaudhuri
  
  Published by Foundations and Trends® in Databases | December 2024, Vol 14
  
  Publication DOI PDF
- 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
  
  Publication
- 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
  
  Publication
- 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, 제 2 권(3)
  
  Publication Publication
- 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, 제 2 권(1)
  
  Publication
- 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
  
  Publication
- 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
  
  Publication 프로젝트
- Analyzing the Impact of Cardinality Estimation on Execution Plans in Microsoft SQL Server
  
  Kukjin Lee, Anshuman Dutt, Vivek Narasayya, Surajit Chaudhuri
  
  PVLDB | September 2023, 제 16 권(11): pp. 2871-2883
  
  Publication 프로젝트
- Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph
  
  Yiming Lin, Yeye He, Surajit Chaudhuri
  
  VLDB 2023 | August 2023
  
  Publication 프로젝트
- 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
  
  Publication 프로젝트
- 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
  
  Publication 프로젝트
- T-Rex: Optimizing Pattern Search on Time Series
  
  Silu Huang, Erkang (Eric) Zhu, Surajit Chaudhuri, Leonhard Spiegelberg
  
  SIGMOD 2023 | June 2023
  
  Publication
- High-Performance Row Pattern Recognition Using Joins
  
  Erkang (Eric) Zhu, Silu Huang, Surajit Chaudhuri
  
  Proceedings of the VLDB Endowment | February 2023, 제 16 권(5): pp. 1181-1194
  
  Publication
- 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
  
  Publication
- 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
  
  Publication Publication
- 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
  
  Publication
- High-Performance Row Pattern Recognition Using Joins (Technical Report)
  
  Erkang (Eric) Zhu, Silu Huang, Surajit Chaudhuri
  
  MSR-TR-2022-34 | May 2022
  
  글쓴이 Microsoft
  
  Publication
- PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication
  
  Yue Wang, Vivek Narasayya, Yeye He, Surajit Chaudhuri
  
  VLDB 2022 | February 2022
  
  Publication 프로젝트
- Leveraging query logs and machine learning for parametric query optimization
  
  Kapil Vaidya, Anshuman Dutt, Vivek Narasayya, Surajit Chaudhuri
  
  VLDB 2022 | November 2021
  
  Publication 프로젝트
- Pre-training Summarization Models of Structured Datasets for Cardinality Estimation
  
  Yao Lu, Srikanth Kandula, Arnd Christian König, Surajit Chaudhuri
  
  VLDB | November 2021
  
  Publication 프로젝트
- DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems
  
  Bailu Ding, Surajit Chaudhuri, Johannes Gehrke, Vivek Narasayya
  
  VLDB 2022 | October 2021
  
  Publication 프로젝트
- Data-induced predicates for sideways information passing in query optimizers
  
  Srikanth Kandula, Laurel Orr, Surajit Chaudhuri
  
  The VLDB Journal | August 2021
  
  Publication 프로젝트
- 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
  
  Publication
- 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
  
  DOI PDF Github
- COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics (Extended Version)
  
  Tarique Siddiqui, Surajit Chaudhuri, Vivek Narasayya
  
  MSR-TR-2021-13 | July 2021
  
  글쓴이 Microsoft Research
  
  Publication
- Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search
  
  Junwen Yang, Yeye He, Surajit Chaudhuri
  
  VLDB 2021 | July 2021
  
  Publication 프로젝트
- 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
  
  Publication 프로젝트
- Pushing Data-Induced Predicates Through Joins in Big-Data Clusters
  
  Srikanth Kandula, Laurel Orr, Surajit Chaudhuri
  
  VLDB | August 2020
  
  Best Paper Runner-Up
  
  Publication 프로젝트 프로젝트
- Auto-Transform: Learning-to-Transform by Patterns
  
  Zhongjun Jin, Yeye He, Surajit Chaudhuri
  
  International Conference on Very Large Databases (VLDB) | August 2020
  
  Publication 프로젝트
- Anytime Algorithm of Database Tuning Advisor for Microsoft SQL Server
  
  Surajit Chaudhuri, Vivek Narasayya
  
  June 2020
  
  Publication 프로젝트
- 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
  
  Publication 프로젝트
- Bitvector-aware Query Optimization for Decision Support Queries (extended version)
  
  Bailu Ding, Surajit Chaudhuri, Vivek Narasayya
  
  MSR-TR-2020-8 | April 2020
  
  글쓴이 Microsoft
  
  Publication 프로젝트
- 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
  
  Publication 프로젝트
- Experiences with Approximating Queries in Microsoft’s Production Big-Data Clusters
  
  Srikanth Kandula, Kukjin Lee, Surajit Chaudhuri, Marc Friedman
  
  VLDB | August 2019, 제 12 권(12)
  
  Publication 프로젝트
- 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
  
  DOI Publication 프로젝트
- 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
  
  Author's Version 프로젝트
- 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
  
  Publication 프로젝트
- 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
  
  Publication Access
- ABC: Efficient Selection of Machine Learning Configuration on Large Dataset
  
  Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri
  
  AAAI 2019 | January 2019
  
  Publication Access 프로젝트 프로젝트
- 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
  
  출판 프로젝트
- 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
  
  Publication 프로젝트 프로젝트
- 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
  
  Publication Publication 프로젝트
- 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
  
  Publication Access 프로젝트
- 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
  
  Publication
- Auto-Join: Joining Tables by Leveraging Transformations
  
  Erkang Zhu, Yeye He, Surajit Chaudhuri
  
  International Conference on Very Large Databases (VLDB) | May 2017
  
  Publication Publication 프로젝트 프로젝트
- 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
  
  Publication 프로젝트
- 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
  
  출판 프로젝트
- Data Services Leveraging Bing’s Data Assets
  
  Kaushik Chakrabarti, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Yeye He
  
  September 2016
  
  출판
- 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
  
  출판 프로젝트 프로젝트
- 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
  
  Author's Version Publication 프로젝트
- 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)
  
  출판 프로젝트
- 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
  
  출판 프로젝트
- 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
  
  Publication
- 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
  
  출판 프로젝트
- 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
  
  출판 출판
- 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
  
  출판
- 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)
  
  출판 출판 프로젝트
- 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
  
  출판 프로젝트
- Fast foreign-key detection in Microsoft SQL server PowerPivot for Excel
  
  Zhimin Chen, Vivek Narasayya, Surajit Chaudhuri
  
  Proceedings of the VLDB Endowment | August 2014
  
  출판 프로젝트
- 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)
  
  출판
- Database Application Developer Tools Using Static Analysis and Dynamic Profiling
  
  Surajit Chaudhuri, Vivek Narasayya, Manoj Syamala
  
  IEEE Data Eng. Bull. | March 2014, 제 37 권: pp. 38-47
  
  출판 프로젝트
- 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
  
  출판 출판 출판 프로젝트
- Data Services for E-tailers Leveraging Web Search Engine Assets
  
  Tao Cheng, Kaushik Chakrabarti, Surajit Chaudhuri, Vivek Narasayya, Manoj Syamala
  
  ICDE Conference | April 2013
  
  출판 프로젝트 프로젝트
- 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
  
  출판 출판 프로젝트
- 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
  
  출판 프로젝트
- 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
  
  출판 출판 프로젝트
- 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
  
  출판
- A Framework for Robust Discovery of Entity Synonyms
  
  Kaushik Chakrabarti, Surajit Chaudhuri, Tao Cheng
  
  SIGKDD | January 2012
  
  출판 프로젝트 프로젝트
- 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
  
  출판 프로젝트
- 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
  
  출판
- 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
  
  출판 프로젝트 프로젝트
- Targeted Disambiguation of Ad-hoc, Homogeneous Sets of Named Entities
  
  Chi Wang, Kaushik Chakrabarti, Tao Cheng, Surajit Chaudhuri
  
  World Wide Web Conference | January 2012
  
  출판 프로젝트
- 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
  
  Publication 프로젝트
- 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, 제 34 권: pp. 12-19
  
  PDF PDF PDF Publication Publication Publication
- 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
  
  출판 출판 프로젝트
- Interval-Based Pruning for Top-k Processing over Compressed Lists
  
  Kaushik Chakrabarti, Surajit Chaudhuri, Venkatesh Ganti
  
  ICDE Conference | April 2011
  
  ICDE Conference
  
  출판 프로젝트
- Automatically Tagging Entities with Descriptive Phrases
  
  Kaushik Chakrabarti, Surajit Chaudhuri, Tao Cheng, Dong Xin
  
  WWW (Poster paper) | January 2011
  
  출판 프로젝트
- 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
  
  출판
- Variance Aware Optimization of Parameterized Queries
  
  Surajit Chaudhuri, Vivek Narasayya, Hongrae Lee
  
  ACM SIGMOD | June 2010
  
  ACM SIGMOD
  
  출판 프로젝트 프로젝트
- 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)
  
  출판 프로젝트 프로젝트
- Interactive Physical Design Tuning
  
  Nicolas Bruno, Surajit Chaudhuri
  
  ICDE | April 2010
  
  Publication Access
- Rule Profiling for Query Optimizers and their Implications
  
  Surajit Chaudhuri, Leo Giakoumakis, Vivek Narasayya, Ravi Ramamurthy
  
  International Conference of Data Engineering (ICDE) | March 2010
  
  출판 프로젝트
- Constrained Physical Design Tuning
  
  Nicolas Bruno, Surajit Chaudhuri
  
  VLDB Journal | January 2010
  
  Publication
- Learning String Transformations from Examples
  
  Arvind Arasu, Surajit Chaudhuri, Raghav Kaushik
  
  VLDB | August 2009
  
  출판 프로젝트
- Extending Autocompletion to Tolerate Errors
  
  Surajit Chaudhuri, Raghav Kaushik
  
  ACM SIGMOD | June 2009
  
  출판 프로젝트
- Interactive Plan Hints for Query Optimization
  
  Nicolas Bruno, Surajit Chaudhuri, Ravi Ramamurthy
  
  SIGMOD | June 2009
  
  Publication 프로젝트
- Constrained Physical Design Tuning
  
  Surajit Chaudhuri
  
  VLDB Journal | May 2009
  
  출판
- 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
  
  출판 프로젝트 프로젝트
- 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)
  
  출판 프로젝트 프로젝트
- Power Hints for Query Optimization
  
  Nicolas Bruno, Surajit Chaudhuri, Ravi Ramamurthy
  
  Proceedings of the International Conference on Data Engineering (ICDE) | January 2009
  
  Publication 프로젝트 프로젝트
- A Pay-As-You-Go Framework for Query Execution Feedback
  
  Surajit Chaudhuri, Vivek Narasayya, Ravi Ramamurthy
  
  VLDB | August 2008
  
  출판 프로젝트 프로젝트
- 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
  
  출판 프로젝트
- Incorporating String Transformations in Record Matching
  
  Arvind Arasu, Surajit Chaudhuri, Kris Ganjam, Raghav Kaushik
  
  SIGMOD | June 2008
  
  출판 출판 프로젝트
- 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
  
  출판 프로젝트
- 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
  
  출판
- Constrained Physical Design Tuning
  
  Surajit Chaudhuri, Nicolas Bruno
  
  Proceedings of the International Conference on Very Large Databases (VLDB) | January 2008
  
  Publication 프로젝트
- Scalable Adhoc Entity Extraction from Text Collections
  
  Sanjay Agrawal, Kaushik Chakrabarti, Surajit Chaudhuri, Venky Ganti
  
  VLDB Conference | January 2008
  
  VLDB Conference
  
  출판 프로젝트
- Bridging the Application and DBMS Profiling Divide for Database Application Developers
  
  Surajit Chaudhuri, Vivek Narasayya, Manoj Syamala
  
  VLDB | September 2007
  
  VLDB
  
  출판 프로젝트
- Self-Tuning Database Systems: A Decade of Progress
  
  Surajit Chaudhuri, Vivek Narasayya
  
  VLDB | September 2007
  
  출판 프로젝트
- 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
  
  출판 프로젝트
- 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
  
  출판
- An Online Approach to Physical Design Tuning
  
  Surajit Chaudhuri, Nicolas Bruno
  
  Proceedings of the International Conference on Data Engineering (ICDE) | January 2007
  
  Publication 프로젝트
- Example Driven Design of Efficient Record Matching Queries
  
  Surajit Chaudhuri, Bee Chung Chen, Venky Ganti, Raghav Kaushik
  
  VLDB | January 2007
  
  출판 프로젝트
- Leveraging Aggregate Constraints for Deduplication
  
  Surajit Chaudhuri, Anish Das Sarma, Venky Ganti, Raghav Kaushik
  
  SIGMOD | January 2007
  
  출판 프로젝트
- Online autoadmin: (physical design tuning)
  
  Nicolas Bruno, Surajit Chaudhuri
  
  SIGMOD | January 2007
  
  Publication
- Physical design refinement: The merge-reduce approach
  
  Nicolas Bruno, Surajit Chaudhuri
  
  Transactions on Database Systems | January 2007
  
  Publication
- Stop-and-Restart Style Execution for Long Running Decision Support Queries
  
  Surajit Chaudhuri, Raghav Kaushik, Abhijit Pol, Ravi Ramamurthy
  
  VLDB | January 2007
  
  출판
- A Primitive Operator for Similarity Joins in Data Cleaning
  
  Surajit Chaudhuri, Venky Ganti, Raghav Kaushik
  
  ICDE | January 2006
  
  출판
- AutoAdmin: Self-Tuning Database Systems Technology
  
  Sanjay Agrawal, Nicolas Bruno, Surajit Chaudhuri, Vivek Narasayya
  
  Data Engineering Bulletin | January 2006
  
  Publication 프로젝트
- Generating Queries with Cardinality Constraints for DBMS Testing
  
  Nicolas Bruno, Surajit Chaudhuri, Dilys Thomas
  
  Transactions on Knowledge and Data Engineering | January 2006
  
  Publication 프로젝트
- Robust Cardinality and Cost Estimation for Skyline Operator
  
  Surajit Chaudhuri, Nilesh Dalvi, Raghav Kaushik
  
  ICDE | January 2006
  
  출판 프로젝트
- 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
  
  Publication 프로젝트
- Data Cleaning in Microsoft SQL Server 2005
  
  Surajit Chaudhuri, Kris Ganjam, Rahul Kapoor, Vivek Narasayya, Theo Vassilakis
  
  SIGMOD | June 2005
  
  출판 프로젝트
- 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
  
  Publication 프로젝트
- Flexible Database Generators
  
  Nicolas Bruno, Surajit Chaudhuri
  
  January 2005
  
  Publication 프로젝트
- When Can we Trust Progress Estimators for SQL Queries?
  
  Surajit Chaudhuri, Raghav Kaushik, Ravishankar Ramamurthy, Ravi Ramamurthy
  
  SIGMOD | January 2005
  
  출판
- Database Tuning Advisor for Microsoft SQL Server 2005
  
  Sanjay Agrawal, Surajit Chaudhuri, Lubor Kollar, Arun Marathe, Vivek Narasayya, Manoj Syamala
  
  VLDB | August 2004
  
  출판 프로젝트
- Estimating Progress of Execution for SQL Queries
  
  Surajit Chaudhuri, Vivek Narasayya, Ravi Ramamurthy
  
  SIGMOD | June 2004
  
  출판 프로젝트
- 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
  
  출판 출판 프로젝트
- Automatic Categorization of Query Results
  
  Kaushik Chakrabarti, Surajit Chaudhuri, Seung-won Hwang
  
  ACM SIGMOD Conference | January 2004
  
  출판 프로젝트 프로젝트
- Conditional Selectivity for Statistics on Query Expressions
  
  Nicolas Bruno, Surajit Chaudhuri
  
  SIGMOD | January 2004
  
  Publication 프로젝트 프로젝트
- Primitives for Workload Summarization and Implications for SQL
  
  Surajit Chaudhuri, Prasanna Ganesan, Vivek Narasayya
  
  VLDB | September 2003
  
  VLDB
  
  출판 프로젝트
- Databases and IR: Perspectives of a SQL Guy
  
  Surajit Chaudhuri
  
  NSF Information and Data Management PI Workshop | January 2003
  
  출판
- Databases and IR: Perspectives of a SQL Guy
  
  Surajit Chaudhuri
  
  January 2003
  
  NSF Information and Data Management PI Workshop
  
  출판
- On Relational Support for XML Publishing: Beyond Sorting and Tagging
  
  Surajit Chaudhuri, Raghav Kaushik, Jeffrey F. Naughton
  
  SIGMOD | January 2003
  
  SIGMOD
  
  출판
- Robust and Efficient Fuzzy Match for Online Data Cleaning
  
  Surajit Chaudhuri, Kris Ganjam, Venky Ganti, Rajeev Motwani
  
  January 2003
  
  출판 프로젝트
- 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
  
  출판
- DBXplorer: Enabling Keyword Search over Relational Databases
  
  Sanjay Agrawal, Surajit Chaudhuri, Gautam Das
  
  ACM SIGMOD 2002 | June 2002
  
  ISBN: 1-58113-497-5
  
  출판 출판 프로젝트
- Compressing SQL Workloads
  
  Surajit Chaudhuri, Vivek Narasayya
  
  SIGMOD | June 2002
  
  출판 프로젝트
- 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
  
  출판 출판
- Efficient Evaluation of Queries with Mining Predicates
  
  Surajit Chaudhuri, Sunita Sarawagi, Vivek Narasayya
  
  Proceedings of 18th International Conference on Data Engineering | January 2002
  
  출판 프로젝트
- 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
  
  출판 출판 프로젝트
- 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
  
  출판
- 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
  
  출판 출판
- STHoles: A Multidimensional Workload-Aware Histogram
  
  Nicolas Bruno, Surajit Chaudhuri, Luis Gravano
  
  MSR-TR-2001-36 | March 2001
  
  글쓴이 Microsoft
  
  Publication 프로젝트 프로젝트
- 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, 제 19 권(1): pp. 40-48
  
  출판 출판
- Automated Selection of Materialized Views and Indexes for SQL Databases.
  
  Sanjay Agrawal, Surajit Chaudhuri, Vivek Narasayya
  
  VLDB | September 2000
  
  VLDB
  
  출판 프로젝트
- Automating Statistics Management for Query Optimizers
  
  Surajit Chaudhuri, Vivek Narasayya
  
  16th International Conference on Data Engineering | March 2000
  
  16th International Conference on Data Engineering
  
  출판 프로젝트
- 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
  
  출판 프로젝트
- Accurate Query Optimization by Sub-plan Memoization
  
  Ashraf Aboulnaga, Surajit Chaudhuri
  
  MSR-TR-1999-102 | December 1999
  
  출판 출판 프로젝트
- On Random Sampling over Joins
  
  Surajit Chaudhuri, Rajeev Motwani, Vivek Narasayya
  
  SIGMOD | June 1999
  
  출판 프로젝트
- Index Merging
  
  Surajit Chaudhuri, Vivek Narasayya
  
  15th International Conference on Data Engineering | April 1999
  
  출판 프로젝트
- AutoAdmin “What-If” Index Analysis Utility
  
  Surajit Chaudhuri, Vivek Narasayya
  
  SIGMOD | June 1998
  
  출판 출판 프로젝트
- Random Sampling for Histogram Construction: How Much is Enough?
  
  Surajit Chaudhuri, Rajeev Motwani, Vivek Narasayya
  
  SIGMOD | June 1998
  
  출판 출판 프로젝트 프로젝트
- An Overview of Query Optimization in Relational Systems (paper)
  
  Surajit Chaudhuri
  
  January 1998
  
  Proceedings of 1998 ACM PODS
  
  출판 프로젝트
- An Overview of Query Optimization in Relational Systems (slides)
  
  Surajit Chaudhuri
  
  Proceedings of 1998 ACM PODS | January 1998
  
  출판 프로젝트
- 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
  
  출판 프로젝트
- The Microsoft Database Research Group
  
  Surajit Chaudhuri, Per-Ake Larson, Vivek Narasayya, David Lomet, , Paul Larson
  
  January 1998
  
  출판
- An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server
  
  Surajit Chaudhuri, Vivek Narasayya
  
  VLDB | August 1997
  
  출판 프로젝트
- An Overview of Data Warehousing and OLAP Technology
  
  Surajit Chaudhuri, Umeshwar Dayal
  
  Sigmod Record | March 1997
  
  출판

- Automated Selection of Materialized Views and Indexes for SQL Databases.
  
  Sanjay Agrawal, Surajit Chaudhuri, Vivek Narasayya
  
  VLDB | September 2000
  
  VLDB
  
  출판 프로젝트
- An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server
  
  Surajit Chaudhuri, Vivek Narasayya
  
  VLDB | August 1997
  
  출판 프로젝트
- 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, 제 3 권(6)
  
  Publication
- 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
  
  Publication
- 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
  
  Preprint
- Auto-Prep: Holistic Prediction of Data Preparation Steps for Self-Service Business Intelligence
  
  Eugenie Y. Lai, Yeye He, Surajit Chaudhuri
  
  VLDB 2025 | September 2025
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- Extensible Query Optimizers in Practice
  
  Bailu Ding, Vivek Narasayya, Surajit Chaudhuri
  
  Published by Foundations and Trends® in Databases | December 2024, Vol 14
  
  Publication DOI PDF
- 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, 제 2 권(3)
  
  Publication Publication
- 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
  
  Publication
- 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
  
  Publication
- 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, 제 2 권(1)
  
  Publication
- 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
  
  Publication
- 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
  
  Publication 프로젝트
- Analyzing the Impact of Cardinality Estimation on Execution Plans in Microsoft SQL Server
  
  Kukjin Lee, Anshuman Dutt, Vivek Narasayya, Surajit Chaudhuri
  
  PVLDB | September 2023, 제 16 권(11): pp. 2871-2883
  
  Publication 프로젝트
- 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
  
  Publication 프로젝트
- 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
  
  Publication 프로젝트
- Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph
  
  Yiming Lin, Yeye He, Surajit Chaudhuri
  
  VLDB 2023 | August 2023
  
  Publication 프로젝트
- T-Rex: Optimizing Pattern Search on Time Series
  
  Silu Huang, Erkang (Eric) Zhu, Surajit Chaudhuri, Leonhard Spiegelberg
  
  SIGMOD 2023 | June 2023
  
  Publication
- High-Performance Row Pattern Recognition Using Joins
  
  Erkang (Eric) Zhu, Silu Huang, Surajit Chaudhuri
  
  Proceedings of the VLDB Endowment | February 2023, 제 16 권(5): pp. 1181-1194
  
  Publication
- 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
  
  Publication
- 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
  
  Publication Publication
- 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
  
  Publication
- High-Performance Row Pattern Recognition Using Joins (Technical Report)
  
  Erkang (Eric) Zhu, Silu Huang, Surajit Chaudhuri
  
  MSR-TR-2022-34 | May 2022
  
  글쓴이 Microsoft
  
  Publication
- PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication
  
  Yue Wang, Vivek Narasayya, Yeye He, Surajit Chaudhuri
  
  VLDB 2022 | February 2022
  
  Publication 프로젝트
- Leveraging query logs and machine learning for parametric query optimization
  
  Kapil Vaidya, Anshuman Dutt, Vivek Narasayya, Surajit Chaudhuri
  
  VLDB 2022 | November 2021
  
  Publication 프로젝트
- Pre-training Summarization Models of Structured Datasets for Cardinality Estimation
  
  Yao Lu, Srikanth Kandula, Arnd Christian König, Surajit Chaudhuri
  
  VLDB | November 2021
  
  Publication 프로젝트
- DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems
  
  Bailu Ding, Surajit Chaudhuri, Johannes Gehrke, Vivek Narasayya
  
  VLDB 2022 | October 2021
  
  Publication 프로젝트
- Data-induced predicates for sideways information passing in query optimizers
  
  Srikanth Kandula, Laurel Orr, Surajit Chaudhuri
  
  The VLDB Journal | August 2021
  
  Publication 프로젝트
- 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
  
  Publication
- 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
  
  DOI PDF Github
- COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics (Extended Version)
  
  Tarique Siddiqui, Surajit Chaudhuri, Vivek Narasayya
  
  MSR-TR-2021-13 | July 2021
  
  글쓴이 Microsoft Research
  
  Publication
- Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search
  
  Junwen Yang, Yeye He, Surajit Chaudhuri
  
  VLDB 2021 | July 2021
  
  Publication 프로젝트
- 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
  
  Publication 프로젝트
- Pushing Data-Induced Predicates Through Joins in Big-Data Clusters
  
  Srikanth Kandula, Laurel Orr, Surajit Chaudhuri
  
  VLDB | August 2020
  
  Best Paper Runner-Up
  
  Publication 프로젝트 프로젝트
- Auto-Transform: Learning-to-Transform by Patterns
  
  Zhongjun Jin, Yeye He, Surajit Chaudhuri
  
  International Conference on Very Large Databases (VLDB) | August 2020
  
  Publication 프로젝트
- Anytime Algorithm of Database Tuning Advisor for Microsoft SQL Server
  
  Surajit Chaudhuri, Vivek Narasayya
  
  June 2020
  
  Publication 프로젝트
- 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
  
  Publication 프로젝트
- Bitvector-aware Query Optimization for Decision Support Queries (extended version)
  
  Bailu Ding, Surajit Chaudhuri, Vivek Narasayya
  
  MSR-TR-2020-8 | April 2020
  
  글쓴이 Microsoft
  
  Publication 프로젝트
- 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
  
  Publication 프로젝트
- 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
  
  DOI Publication 프로젝트
- Experiences with Approximating Queries in Microsoft’s Production Big-Data Clusters
  
  Srikanth Kandula, Kukjin Lee, Surajit Chaudhuri, Marc Friedman
  
  VLDB | August 2019, 제 12 권(12)
  
  Publication 프로젝트
- 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
  
  Author's Version 프로젝트
- 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
  
  Publication 프로젝트
- 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
  
  Publication Access
- 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
  
  출판 프로젝트
- 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
  
  Publication 프로젝트 프로젝트
- 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
  
  Publication Access 프로젝트
- 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
  
  Publication Publication 프로젝트
- 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
  
  Publication
- Auto-Join: Joining Tables by Leveraging Transformations
  
  Erkang Zhu, Yeye He, Surajit Chaudhuri
  
  International Conference on Very Large Databases (VLDB) | May 2017
  
  Publication Publication 프로젝트 프로젝트
- 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
  
  Publication 프로젝트
- 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
  
  출판 프로젝트
- Data Services Leveraging Bing’s Data Assets
  
  Kaushik Chakrabarti, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Yeye He
  
  September 2016
  
  출판
- 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
  
  출판 프로젝트 프로젝트
- 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
  
  Author's Version Publication 프로젝트
- 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)
  
  출판 프로젝트
- 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
  
  Publication
- 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
  
  출판 프로젝트
- 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
  
  출판 프로젝트
- 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
  
  출판 출판
- 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
  
  출판
- 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)
  
  출판 출판 프로젝트
- 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
  
  출판 프로젝트
- Fast foreign-key detection in Microsoft SQL server PowerPivot for Excel
  
  Zhimin Chen, Vivek Narasayya, Surajit Chaudhuri
  
  Proceedings of the VLDB Endowment | August 2014
  
  출판 프로젝트
- 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)
  
  출판
- Database Application Developer Tools Using Static Analysis and Dynamic Profiling
  
  Surajit Chaudhuri, Vivek Narasayya, Manoj Syamala
  
  IEEE Data Eng. Bull. | March 2014, 제 37 권: pp. 38-47
  
  출판 프로젝트
- 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
  
  출판 출판 출판 프로젝트
- 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
  
  출판 출판 프로젝트
- 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
  
  출판 출판 프로젝트
- 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
  
  출판
- Targeted Disambiguation of Ad-hoc, Homogeneous Sets of Named Entities
  
  Chi Wang, Kaushik Chakrabarti, Tao Cheng, Surajit Chaudhuri
  
  World Wide Web Conference | January 2012
  
  출판 프로젝트
- 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
  
  출판 프로젝트 프로젝트
- 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
  
  출판
- 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
  
  출판 출판 프로젝트
- 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
  
  출판
- Rule Profiling for Query Optimizers and their Implications
  
  Surajit Chaudhuri, Leo Giakoumakis, Vivek Narasayya, Ravi Ramamurthy
  
  International Conference of Data Engineering (ICDE) | March 2010
  
  출판 프로젝트
- Constrained Physical Design Tuning
  
  Nicolas Bruno, Surajit Chaudhuri
  
  VLDB Journal | January 2010
  
  Publication
- Learning String Transformations from Examples
  
  Arvind Arasu, Surajit Chaudhuri, Raghav Kaushik
  
  VLDB | August 2009
  
  출판 프로젝트
- Interactive Plan Hints for Query Optimization
  
  Nicolas Bruno, Surajit Chaudhuri, Ravi Ramamurthy
  
  SIGMOD | June 2009
  
  Publication 프로젝트
- Constrained Physical Design Tuning
  
  Surajit Chaudhuri
  
  VLDB Journal | May 2009
  
  출판
- Power Hints for Query Optimization
  
  Nicolas Bruno, Surajit Chaudhuri, Ravi Ramamurthy
  
  Proceedings of the International Conference on Data Engineering (ICDE) | January 2009
  
  Publication 프로젝트 프로젝트
- 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
  
  출판 프로젝트
- Incorporating String Transformations in Record Matching
  
  Arvind Arasu, Surajit Chaudhuri, Kris Ganjam, Raghav Kaushik
  
  SIGMOD | June 2008
  
  출판 출판 프로젝트
- Constrained Physical Design Tuning
  
  Surajit Chaudhuri, Nicolas Bruno
  
  Proceedings of the International Conference on Very Large Databases (VLDB) | January 2008
  
  Publication 프로젝트
- Physical design refinement: The merge-reduce approach
  
  Nicolas Bruno, Surajit Chaudhuri
  
  Transactions on Database Systems | January 2007
  
  Publication
- Online autoadmin: (physical design tuning)
  
  Nicolas Bruno, Surajit Chaudhuri
  
  SIGMOD | January 2007
  
  Publication
- Stop-and-Restart Style Execution for Long Running Decision Support Queries
  
  Surajit Chaudhuri, Raghav Kaushik, Abhijit Pol, Ravi Ramamurthy
  
  VLDB | January 2007
  
  출판
- Leveraging Aggregate Constraints for Deduplication
  
  Surajit Chaudhuri, Anish Das Sarma, Venky Ganti, Raghav Kaushik
  
  SIGMOD | January 2007
  
  출판 프로젝트
- 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
  
  Publication 프로젝트
- Generating Queries with Cardinality Constraints for DBMS Testing
  
  Nicolas Bruno, Surajit Chaudhuri, Dilys Thomas
  
  Transactions on Knowledge and Data Engineering | January 2006
  
  Publication 프로젝트
- AutoAdmin: Self-Tuning Database Systems Technology
  
  Sanjay Agrawal, Nicolas Bruno, Surajit Chaudhuri, Vivek Narasayya
  
  Data Engineering Bulletin | January 2006
  
  Publication 프로젝트
- Data Cleaning in Microsoft SQL Server 2005
  
  Surajit Chaudhuri, Kris Ganjam, Rahul Kapoor, Vivek Narasayya, Theo Vassilakis
  
  SIGMOD | June 2005
  
  출판 프로젝트
- Flexible Database Generators
  
  Nicolas Bruno, Surajit Chaudhuri
  
  January 2005
  
  Publication 프로젝트
- Conditional Selectivity for Statistics on Query Expressions
  
  Nicolas Bruno, Surajit Chaudhuri
  
  SIGMOD | January 2004
  
  Publication 프로젝트 프로젝트
- Automatic Categorization of Query Results
  
  Kaushik Chakrabarti, Surajit Chaudhuri, Seung-won Hwang
  
  ACM SIGMOD Conference | January 2004
  
  출판 프로젝트 프로젝트
- 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
  
  Publication
- 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
  
  Preprint
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication Publication
- Pre-training Summarization Models of Structured Datasets for Cardinality Estimation
  
  Yao Lu, Srikanth Kandula, Arnd Christian König, Surajit Chaudhuri
  
  VLDB | November 2021
  
  Publication 프로젝트
- 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
  
  Publication 프로젝트
- 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
  
  Publication 프로젝트
- 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
  
  Publication Access
- ABC: Efficient Selection of Machine Learning Configuration on Large Dataset
  
  Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri
  
  AAAI 2019 | January 2019
  
  Publication Access 프로젝트 프로젝트
- 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
  
  Publication Access 프로젝트
- 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
  
  Publication
- 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
  
  출판 출판
- 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, 제 19 권(1): pp. 40-48
  
  출판 출판
- 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
  
  Publication 프로젝트
- 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
  
  Publication
- Data-induced predicates for sideways information passing in query optimizers
  
  Srikanth Kandula, Laurel Orr, Surajit Chaudhuri
  
  The VLDB Journal | August 2021
  
  Publication 프로젝트
- Pushing Data-Induced Predicates Through Joins in Big-Data Clusters
  
  Srikanth Kandula, Laurel Orr, Surajit Chaudhuri
  
  VLDB | August 2020
  
  Best Paper Runner-Up
  
  Publication 프로젝트 프로젝트
- 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
  
  DOI Publication 프로젝트
- Experiences with Approximating Queries in Microsoft’s Production Big-Data Clusters
  
  Srikanth Kandula, Kukjin Lee, Surajit Chaudhuri, Marc Friedman
  
  VLDB | August 2019, 제 12 권(12)
  
  Publication 프로젝트
- 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
  
  Publication Access 프로젝트
- 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
  
  Publication Publication 프로젝트
- 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
  
  Publication 프로젝트
- 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
  
  출판 프로젝트
- 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
  
  출판 출판 출판 프로젝트
- 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
  
  출판 출판 프로젝트
- 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, 제 34 권: pp. 12-19
  
  PDF PDF PDF Publication Publication Publication
- 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
  
  출판
- 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
  
  출판
- 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
  
  출판 출판
- PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication
  
  Yue Wang, Vivek Narasayya, Yeye He, Surajit Chaudhuri
  
  VLDB 2022 | February 2022
  
  Publication 프로젝트
- 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
  
  Author's Version Publication 프로젝트
- An Online Approach to Physical Design Tuning
  
  Surajit Chaudhuri, Nicolas Bruno
  
  Proceedings of the International Conference on Data Engineering (ICDE) | January 2007
  
  Publication 프로젝트
- Robust and Efficient Fuzzy Match for Online Data Cleaning
  
  Surajit Chaudhuri, Kris Ganjam, Venky Ganti, Rajeev Motwani
  
  January 2003
  
  출판 프로젝트
- 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
  
  Publication Access 프로젝트
- 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
  
  출판
- 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
  
  출판 출판 프로젝트
- 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
  
  출판
- Automating Statistics Management for Query Optimizers
  
  Surajit Chaudhuri, Vivek Narasayya
  
  16th International Conference on Data Engineering | March 2000
  
  16th International Conference on Data Engineering
  
  출판 프로젝트
- 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
  
  출판 프로젝트
- On Random Sampling over Joins
  
  Surajit Chaudhuri, Rajeev Motwani, Vivek Narasayya
  
  SIGMOD | June 1999
  
  출판 프로젝트
- Index Merging
  
  Surajit Chaudhuri, Vivek Narasayya
  
  15th International Conference on Data Engineering | April 1999
  
  출판 프로젝트
- Random Sampling for Histogram Construction: How Much is Enough?
  
  Surajit Chaudhuri, Rajeev Motwani, Vivek Narasayya
  
  SIGMOD | June 1998
  
  출판 출판 프로젝트 프로젝트
- AutoAdmin “What-If” Index Analysis Utility
  
  Surajit Chaudhuri, Vivek Narasayya
  
  SIGMOD | June 1998
  
  출판 출판 프로젝트
- An Overview of Query Optimization in Relational Systems (paper)
  
  Surajit Chaudhuri
  
  January 1998
  
  Proceedings of 1998 ACM PODS
  
  출판 프로젝트
- An Overview of Query Optimization in Relational Systems (slides)
  
  Surajit Chaudhuri
  
  Proceedings of 1998 ACM PODS | January 1998
  
  출판 프로젝트
- 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
  
  출판 프로젝트
- An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server
  
  Surajit Chaudhuri, Vivek Narasayya
  
  VLDB | August 1997
  
  출판 프로젝트
- An Overview of Data Warehousing and OLAP Technology
  
  Surajit Chaudhuri, Umeshwar Dayal
  
  Sigmod Record | March 1997
  
  출판
- 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
  
  출판 프로젝트 프로젝트
- 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
  
  출판 출판
- 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
  
  출판
- 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
  
  출판 프로젝트
- 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)
  
  출판
- Data Services for E-tailers Leveraging Web Search Engine Assets
  
  Tao Cheng, Kaushik Chakrabarti, Surajit Chaudhuri, Vivek Narasayya, Manoj Syamala
  
  ICDE Conference | April 2013
  
  출판 프로젝트 프로젝트
- 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
  
  출판 프로젝트
- 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
  
  출판
- 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
  
  출판 프로젝트
- Targeted Disambiguation of Ad-hoc, Homogeneous Sets of Named Entities
  
  Chi Wang, Kaushik Chakrabarti, Tao Cheng, Surajit Chaudhuri
  
  World Wide Web Conference | January 2012
  
  출판 프로젝트
- 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
  
  출판 프로젝트 프로젝트
- A Framework for Robust Discovery of Entity Synonyms
  
  Kaushik Chakrabarti, Surajit Chaudhuri, Tao Cheng
  
  SIGKDD | January 2012
  
  출판 프로젝트 프로젝트
- 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
  
  Publication 프로젝트
- Interval-Based Pruning for Top-k Processing over Compressed Lists
  
  Kaushik Chakrabarti, Surajit Chaudhuri, Venkatesh Ganti
  
  ICDE Conference | April 2011
  
  ICDE Conference
  
  출판 프로젝트
- Automatically Tagging Entities with Descriptive Phrases
  
  Kaushik Chakrabarti, Surajit Chaudhuri, Tao Cheng, Dong Xin
  
  WWW (Poster paper) | January 2011
  
  출판 프로젝트
- 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)
  
  출판 프로젝트 프로젝트
- Interactive Physical Design Tuning
  
  Nicolas Bruno, Surajit Chaudhuri
  
  ICDE | April 2010
  
  Publication Access
- Extending Autocompletion to Tolerate Errors
  
  Surajit Chaudhuri, Raghav Kaushik
  
  ACM SIGMOD | June 2009
  
  출판 프로젝트
- 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
  
  출판 프로젝트 프로젝트
- 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)
  
  출판 프로젝트 프로젝트
- A Pay-As-You-Go Framework for Query Execution Feedback
  
  Surajit Chaudhuri, Vivek Narasayya, Ravi Ramamurthy
  
  VLDB | August 2008
  
  출판 프로젝트 프로젝트
- 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
  
  출판 프로젝트
- 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
  
  출판
- Scalable Adhoc Entity Extraction from Text Collections
  
  Sanjay Agrawal, Kaushik Chakrabarti, Surajit Chaudhuri, Venky Ganti
  
  VLDB Conference | January 2008
  
  VLDB Conference
  
  출판 프로젝트
- Self-Tuning Database Systems: A Decade of Progress
  
  Surajit Chaudhuri, Vivek Narasayya
  
  VLDB | September 2007
  
  출판 프로젝트
- Bridging the Application and DBMS Profiling Divide for Database Application Developers
  
  Surajit Chaudhuri, Vivek Narasayya, Manoj Syamala
  
  VLDB | September 2007
  
  VLDB
  
  출판 프로젝트
- 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
  
  출판 프로젝트
- Example Driven Design of Efficient Record Matching Queries
  
  Surajit Chaudhuri, Bee Chung Chen, Venky Ganti, Raghav Kaushik
  
  VLDB | January 2007
  
  출판 프로젝트
- Stop-and-Restart Style Execution for Long Running Decision Support Queries
  
  Surajit Chaudhuri, Raghav Kaushik, Abhijit Pol, Ravi Ramamurthy
  
  VLDB | January 2007
  
  출판
- A Primitive Operator for Similarity Joins in Data Cleaning
  
  Surajit Chaudhuri, Venky Ganti, Raghav Kaushik
  
  ICDE | January 2006
  
  출판
- Robust Cardinality and Cost Estimation for Skyline Operator
  
  Surajit Chaudhuri, Nilesh Dalvi, Raghav Kaushik
  
  ICDE | January 2006
  
  출판 프로젝트
- When Can we Trust Progress Estimators for SQL Queries?
  
  Surajit Chaudhuri, Raghav Kaushik, Ravishankar Ramamurthy, Ravi Ramamurthy
  
  SIGMOD | January 2005
  
  출판
- Database Tuning Advisor for Microsoft SQL Server 2005
  
  Sanjay Agrawal, Surajit Chaudhuri, Lubor Kollar, Arun Marathe, Vivek Narasayya, Manoj Syamala
  
  VLDB | August 2004
  
  출판 프로젝트
- Estimating Progress of Execution for SQL Queries
  
  Surajit Chaudhuri, Vivek Narasayya, Ravi Ramamurthy
  
  SIGMOD | June 2004
  
  출판 프로젝트
- 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
  
  출판 출판 프로젝트
- Automatic Categorization of Query Results
  
  Kaushik Chakrabarti, Surajit Chaudhuri, Seung-won Hwang
  
  ACM SIGMOD Conference | January 2004
  
  출판 프로젝트 프로젝트
- Primitives for Workload Summarization and Implications for SQL
  
  Surajit Chaudhuri, Prasanna Ganesan, Vivek Narasayya
  
  VLDB | September 2003
  
  VLDB
  
  출판 프로젝트
- Robust and Efficient Fuzzy Match for Online Data Cleaning
  
  Surajit Chaudhuri, Kris Ganjam, Venky Ganti, Rajeev Motwani
  
  January 2003
  
  출판 프로젝트
- Databases and IR: Perspectives of a SQL Guy
  
  Surajit Chaudhuri
  
  NSF Information and Data Management PI Workshop | January 2003
  
  출판
- Databases and IR: Perspectives of a SQL Guy
  
  Surajit Chaudhuri
  
  January 2003
  
  NSF Information and Data Management PI Workshop
  
  출판
- On Relational Support for XML Publishing: Beyond Sorting and Tagging
  
  Surajit Chaudhuri, Raghav Kaushik, Jeffrey F. Naughton
  
  SIGMOD | January 2003
  
  SIGMOD
  
  출판
- DBXplorer: Enabling Keyword Search over Relational Databases
  
  Sanjay Agrawal, Surajit Chaudhuri, Gautam Das
  
  ACM SIGMOD 2002 | June 2002
  
  ISBN: 1-58113-497-5
  
  출판 출판 프로젝트
- Compressing SQL Workloads
  
  Surajit Chaudhuri, Vivek Narasayya
  
  SIGMOD | June 2002
  
  출판 프로젝트
- Efficient Evaluation of Queries with Mining Predicates
  
  Surajit Chaudhuri, Sunita Sarawagi, Vivek Narasayya
  
  Proceedings of 18th International Conference on Data Engineering | January 2002
  
  출판 프로젝트
- STHoles: A Multidimensional Workload-Aware Histogram
  
  Nicolas Bruno, Surajit Chaudhuri, Luis Gravano
  
  MSR-TR-2001-36 | March 2001
  
  글쓴이 Microsoft
  
  Publication 프로젝트 프로젝트
- Accurate Query Optimization by Sub-plan Memoization
  
  Ashraf Aboulnaga, Surajit Chaudhuri
  
  MSR-TR-1999-102 | December 1999
  
  출판 출판 프로젝트
- 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
  
  출판
- Rule Profiling for Query Optimizers and their Implications
  
  Surajit Chaudhuri, Leo Giakoumakis, Vivek Narasayya, Ravi Ramamurthy
  
  International Conference of Data Engineering (ICDE) | March 2010
  
  출판 프로젝트
- 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
  
  Publication 프로젝트
- The Microsoft Database Research Group
  
  Surajit Chaudhuri, Per-Ake Larson, Vivek Narasayya, David Lomet, , Paul Larson
  
  January 1998
  
  출판
- Variance Aware Optimization of Parameterized Queries
  
  Surajit Chaudhuri, Vivek Narasayya, Hongrae Lee
  
  ACM SIGMOD | June 2010
  
  ACM SIGMOD
  
  출판 프로젝트 프로젝트
- 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
  
  출판

- 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, 제 19 권(1): pp. 40-48
  
  출판 출판
- An Overview of Data Warehousing and OLAP Technology
  
  Surajit Chaudhuri, Umeshwar Dayal
  
  Sigmod Record | March 1997
  
  출판
- 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, 제 3 권(6)
  
  Publication
- 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, 제 2 권(3)
  
  Publication Publication
- 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, 제 2 권(1)
  
  Publication
- Analyzing the Impact of Cardinality Estimation on Execution Plans in Microsoft SQL Server
  
  Kukjin Lee, Anshuman Dutt, Vivek Narasayya, Surajit Chaudhuri
  
  PVLDB | September 2023, 제 16 권(11): pp. 2871-2883
  
  Publication 프로젝트
- High-Performance Row Pattern Recognition Using Joins
  
  Erkang (Eric) Zhu, Silu Huang, Surajit Chaudhuri
  
  Proceedings of the VLDB Endowment | February 2023, 제 16 권(5): pp. 1181-1194
  
  Publication
- Data-induced predicates for sideways information passing in query optimizers
  
  Srikanth Kandula, Laurel Orr, Surajit Chaudhuri
  
  The VLDB Journal | August 2021
  
  Publication 프로젝트
- Experiences with Approximating Queries in Microsoft’s Production Big-Data Clusters
  
  Srikanth Kandula, Kukjin Lee, Surajit Chaudhuri, Marc Friedman
  
  VLDB | August 2019, 제 12 권(12)
  
  Publication 프로젝트
- Data Services Leveraging Bing’s Data Assets
  
  Kaushik Chakrabarti, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Yeye He
  
  September 2016
  
  출판
- 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
  
  출판 프로젝트 프로젝트
- Database Application Developer Tools Using Static Analysis and Dynamic Profiling
  
  Surajit Chaudhuri, Vivek Narasayya, Manoj Syamala
  
  IEEE Data Eng. Bull. | March 2014, 제 37 권: pp. 38-47
  
  출판 프로젝트
- 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
  
  출판 출판 프로젝트
- 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
  
  Publication 프로젝트
- 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, 제 34 권: pp. 12-19
  
  PDF PDF PDF Publication Publication Publication
- 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
  
  출판 출판 프로젝트
- Constrained Physical Design Tuning
  
  Surajit Chaudhuri
  
  VLDB Journal | May 2009
  
  출판
- 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
  
  출판
- 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
  
  출판 출판
- Automated Selection of Materialized Views and Indexes for SQL Databases.
  
  Sanjay Agrawal, Surajit Chaudhuri, Vivek Narasayya
  
  VLDB | September 2000
  
  VLDB
  
  출판 프로젝트
- Automating Statistics Management for Query Optimizers
  
  Surajit Chaudhuri, Vivek Narasayya
  
  16th International Conference on Data Engineering | March 2000
  
  16th International Conference on Data Engineering
  
  출판 프로젝트
- 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
  
  출판 프로젝트
- On Random Sampling over Joins
  
  Surajit Chaudhuri, Rajeev Motwani, Vivek Narasayya
  
  SIGMOD | June 1999
  
  출판 프로젝트
- Index Merging
  
  Surajit Chaudhuri, Vivek Narasayya
  
  15th International Conference on Data Engineering | April 1999
  
  출판 프로젝트
- Random Sampling for Histogram Construction: How Much is Enough?
  
  Surajit Chaudhuri, Rajeev Motwani, Vivek Narasayya
  
  SIGMOD | June 1998
  
  출판 출판 프로젝트 프로젝트
- AutoAdmin “What-If” Index Analysis Utility
  
  Surajit Chaudhuri, Vivek Narasayya
  
  SIGMOD | June 1998
  
  출판 출판 프로젝트
- The Microsoft Database Research Group
  
  Surajit Chaudhuri, Per-Ake Larson, Vivek Narasayya, David Lomet, , Paul Larson
  
  January 1998
  
  출판
- An Overview of Query Optimization in Relational Systems (slides)
  
  Surajit Chaudhuri
  
  Proceedings of 1998 ACM PODS | January 1998
  
  출판 프로젝트
- 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
  
  출판 프로젝트
- An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server
  
  Surajit Chaudhuri, Vivek Narasayya
  
  VLDB | August 1997
  
  출판 프로젝트
- 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
  
  Publication
- 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
  
  Preprint
- Auto-Prep: Holistic Prediction of Data Preparation Steps for Self-Service Business Intelligence
  
  Eugenie Y. Lai, Yeye He, Surajit Chaudhuri
  
  VLDB 2025 | September 2025
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication
- 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
  
  Publication 프로젝트
- 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
  
  Publication 프로젝트
- 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
  
  Publication 프로젝트
- Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph
  
  Yiming Lin, Yeye He, Surajit Chaudhuri
  
  VLDB 2023 | August 2023
  
  Publication 프로젝트
- T-Rex: Optimizing Pattern Search on Time Series
  
  Silu Huang, Erkang (Eric) Zhu, Surajit Chaudhuri, Leonhard Spiegelberg
  
  SIGMOD 2023 | June 2023
  
  Publication
- 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
  
  Publication
- 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
  
  Publication Publication
- 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
  
  Publication
- PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication
  
  Yue Wang, Vivek Narasayya, Yeye He, Surajit Chaudhuri
  
  VLDB 2022 | February 2022
  
  Publication 프로젝트
- Leveraging query logs and machine learning for parametric query optimization
  
  Kapil Vaidya, Anshuman Dutt, Vivek Narasayya, Surajit Chaudhuri
  
  VLDB 2022 | November 2021
  
  Publication 프로젝트
- Pre-training Summarization Models of Structured Datasets for Cardinality Estimation
  
  Yao Lu, Srikanth Kandula, Arnd Christian König, Surajit Chaudhuri
  
  VLDB | November 2021
  
  Publication 프로젝트
- DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems
  
  Bailu Ding, Surajit Chaudhuri, Johannes Gehrke, Vivek Narasayya
  
  VLDB 2022 | October 2021
  
  Publication 프로젝트
- 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
  
  Publication
- 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
  
  DOI PDF Github
- Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search
  
  Junwen Yang, Yeye He, Surajit Chaudhuri
  
  VLDB 2021 | July 2021
  
  Publication 프로젝트
- 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
  
  Publication 프로젝트
- Pushing Data-Induced Predicates Through Joins in Big-Data Clusters
  
  Srikanth Kandula, Laurel Orr, Surajit Chaudhuri
  
  VLDB | August 2020
  
  Best Paper Runner-Up
  
  Publication 프로젝트 프로젝트
- Auto-Transform: Learning-to-Transform by Patterns
  
  Zhongjun Jin, Yeye He, Surajit Chaudhuri
  
  International Conference on Very Large Databases (VLDB) | August 2020
  
  Publication 프로젝트
- 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
  
  Publication 프로젝트
- 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
  
  Publication 프로젝트
- 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
  
  DOI Publication 프로젝트
- 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
  
  Author's Version 프로젝트
- 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
  
  Publication 프로젝트
- 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
  
  Publication Access
- ABC: Efficient Selection of Machine Learning Configuration on Large Dataset
  
  Silu Huang, Chi Wang, Bolin Ding, Surajit Chaudhuri
  
  AAAI 2019 | January 2019
  
  Publication Access 프로젝트 프로젝트
- 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
  
  출판 프로젝트
- 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
  
  Publication 프로젝트 프로젝트
- 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
  
  Publication Access 프로젝트
- 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
  
  Publication Publication 프로젝트
- 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
  
  Publication
- Auto-Join: Joining Tables by Leveraging Transformations
  
  Erkang Zhu, Yeye He, Surajit Chaudhuri
  
  International Conference on Very Large Databases (VLDB) | May 2017
  
  Publication Publication 프로젝트 프로젝트
- 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
  
  Publication 프로젝트
- 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
  
  출판 프로젝트
- 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
  
  Author's Version Publication 프로젝트
- 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)
  
  출판 프로젝트
- 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
  
  Publication
- 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
  
  출판 프로젝트
- 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
  
  출판 프로젝트
- 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
  
  출판 출판
- 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
  
  출판
- 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)
  
  출판 출판 프로젝트
- 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
  
  출판 프로젝트
- Fast foreign-key detection in Microsoft SQL server PowerPivot for Excel
  
  Zhimin Chen, Vivek Narasayya, Surajit Chaudhuri
  
  Proceedings of the VLDB Endowment | August 2014
  
  출판 프로젝트
- 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)
  
  출판
- 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
  
  출판 출판 출판 프로젝트
- Data Services for E-tailers Leveraging Web Search Engine Assets
  
  Tao Cheng, Kaushik Chakrabarti, Surajit Chaudhuri, Vivek Narasayya, Manoj Syamala
  
  ICDE Conference | April 2013
  
  출판 프로젝트 프로젝트
- 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
  
  출판 출판 프로젝트
- 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
  
  출판 프로젝트
- 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
  
  출판
- 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
  
  출판 프로젝트
- Targeted Disambiguation of Ad-hoc, Homogeneous Sets of Named Entities
  
  Chi Wang, Kaushik Chakrabarti, Tao Cheng, Surajit Chaudhuri
  
  World Wide Web Conference | January 2012
  
  출판 프로젝트
- 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
  
  출판 프로젝트 프로젝트
- A Framework for Robust Discovery of Entity Synonyms
  
  Kaushik Chakrabarti, Surajit Chaudhuri, Tao Cheng
  
  SIGKDD | January 2012
  
  출판 프로젝트 프로젝트
- 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
  
  출판
- Interval-Based Pruning for Top-k Processing over Compressed Lists
  
  Kaushik Chakrabarti, Surajit Chaudhuri, Venkatesh Ganti
  
  ICDE Conference | April 2011
  
  ICDE Conference
  
  출판 프로젝트
- 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
  
  출판
- Automatically Tagging Entities with Descriptive Phrases
  
  Kaushik Chakrabarti, Surajit Chaudhuri, Tao Cheng, Dong Xin
  
  WWW (Poster paper) | January 2011
  
  출판 프로젝트
- Variance Aware Optimization of Parameterized Queries
  
  Surajit Chaudhuri, Vivek Narasayya, Hongrae Lee
  
  ACM SIGMOD | June 2010
  
  ACM SIGMOD
  
  출판 프로젝트 프로젝트
- 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)
  
  출판 프로젝트 프로젝트
- Interactive Physical Design Tuning
  
  Nicolas Bruno, Surajit Chaudhuri
  
  ICDE | April 2010
  
  Publication Access
- Rule Profiling for Query Optimizers and their Implications
  
  Surajit Chaudhuri, Leo Giakoumakis, Vivek Narasayya, Ravi Ramamurthy
  
  International Conference of Data Engineering (ICDE) | March 2010
  
  출판 프로젝트
- Constrained Physical Design Tuning
  
  Nicolas Bruno, Surajit Chaudhuri
  
  VLDB Journal | January 2010
  
  Publication
- Learning String Transformations from Examples
  
  Arvind Arasu, Surajit Chaudhuri, Raghav Kaushik
  
  VLDB | August 2009
  
  출판 프로젝트
- Extending Autocompletion to Tolerate Errors
  
  Surajit Chaudhuri, Raghav Kaushik
  
  ACM SIGMOD | June 2009
  
  출판 프로젝트
- Interactive Plan Hints for Query Optimization
  
  Nicolas Bruno, Surajit Chaudhuri, Ravi Ramamurthy
  
  SIGMOD | June 2009
  
  Publication 프로젝트
- 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
  
  출판 프로젝트 프로젝트
- 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)
  
  출판 프로젝트 프로젝트
- Power Hints for Query Optimization
  
  Nicolas Bruno, Surajit Chaudhuri, Ravi Ramamurthy
  
  Proceedings of the International Conference on Data Engineering (ICDE) | January 2009
  
  Publication 프로젝트 프로젝트
- A Pay-As-You-Go Framework for Query Execution Feedback
  
  Surajit Chaudhuri, Vivek Narasayya, Ravi Ramamurthy
  
  VLDB | August 2008
  
  출판 프로젝트 프로젝트
- 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
  
  출판 프로젝트
- 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
  
  출판 프로젝트
- Incorporating String Transformations in Record Matching
  
  Arvind Arasu, Surajit Chaudhuri, Kris Ganjam, Raghav Kaushik
  
  SIGMOD | June 2008
  
  출판 출판 프로젝트
- 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
  
  출판
- Constrained Physical Design Tuning
  
  Surajit Chaudhuri, Nicolas Bruno
  
  Proceedings of the International Conference on Very Large Databases (VLDB) | January 2008
  
  Publication 프로젝트
- Scalable Adhoc Entity Extraction from Text Collections
  
  Sanjay Agrawal, Kaushik Chakrabarti, Surajit Chaudhuri, Venky Ganti
  
  VLDB Conference | January 2008
  
  VLDB Conference
  
  출판 프로젝트
- Self-Tuning Database Systems: A Decade of Progress
  
  Surajit Chaudhuri, Vivek Narasayya
  
  VLDB | September 2007
  
  출판 프로젝트
- Bridging the Application and DBMS Profiling Divide for Database Application Developers
  
  Surajit Chaudhuri, Vivek Narasayya, Manoj Syamala
  
  VLDB | September 2007
  
  VLDB
  
  출판 프로젝트
- 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
  
  출판 프로젝트
- 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
  
  출판
- An Online Approach to Physical Design Tuning
  
  Surajit Chaudhuri, Nicolas Bruno
  
  Proceedings of the International Conference on Data Engineering (ICDE) | January 2007
  
  Publication 프로젝트
- Physical design refinement: The merge-reduce approach
  
  Nicolas Bruno, Surajit Chaudhuri
  
  Transactions on Database Systems | January 2007
  
  Publication
- Online autoadmin: (physical design tuning)
  
  Nicolas Bruno, Surajit Chaudhuri
  
  SIGMOD | January 2007
  
  Publication
- Example Driven Design of Efficient Record Matching Queries
  
  Surajit Chaudhuri, Bee Chung Chen, Venky Ganti, Raghav Kaushik
  
  VLDB | January 2007
  
  출판 프로젝트
- Stop-and-Restart Style Execution for Long Running Decision Support Queries
  
  Surajit Chaudhuri, Raghav Kaushik, Abhijit Pol, Ravi Ramamurthy
  
  VLDB | January 2007
  
  출판
- Leveraging Aggregate Constraints for Deduplication
  
  Surajit Chaudhuri, Anish Das Sarma, Venky Ganti, Raghav Kaushik
  
  SIGMOD | January 2007
  
  출판 프로젝트
- 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
  
  Publication 프로젝트
- Generating Queries with Cardinality Constraints for DBMS Testing
  
  Nicolas Bruno, Surajit Chaudhuri, Dilys Thomas
  
  Transactions on Knowledge and Data Engineering | January 2006
  
  Publication 프로젝트
- AutoAdmin: Self-Tuning Database Systems Technology
  
  Sanjay Agrawal, Nicolas Bruno, Surajit Chaudhuri, Vivek Narasayya
  
  Data Engineering Bulletin | January 2006
  
  Publication 프로젝트
- A Primitive Operator for Similarity Joins in Data Cleaning
  
  Surajit Chaudhuri, Venky Ganti, Raghav Kaushik
  
  ICDE | January 2006
  
  출판
- Robust Cardinality and Cost Estimation for Skyline Operator
  
  Surajit Chaudhuri, Nilesh Dalvi, Raghav Kaushik
  
  ICDE | January 2006
  
  출판 프로젝트
- Data Cleaning in Microsoft SQL Server 2005
  
  Surajit Chaudhuri, Kris Ganjam, Rahul Kapoor, Vivek Narasayya, Theo Vassilakis
  
  SIGMOD | June 2005
  
  출판 프로젝트
- 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
  
  Publication 프로젝트
- Flexible Database Generators
  
  Nicolas Bruno, Surajit Chaudhuri
  
  January 2005
  
  Publication 프로젝트
- When Can we Trust Progress Estimators for SQL Queries?
  
  Surajit Chaudhuri, Raghav Kaushik, Ravishankar Ramamurthy, Ravi Ramamurthy
  
  SIGMOD | January 2005
  
  출판
- Database Tuning Advisor for Microsoft SQL Server 2005
  
  Sanjay Agrawal, Surajit Chaudhuri, Lubor Kollar, Arun Marathe, Vivek Narasayya, Manoj Syamala
  
  VLDB | August 2004
  
  출판 프로젝트
- Estimating Progress of Execution for SQL Queries
  
  Surajit Chaudhuri, Vivek Narasayya, Ravi Ramamurthy
  
  SIGMOD | June 2004
  
  출판 프로젝트
- 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
  
  출판 출판 프로젝트
- Conditional Selectivity for Statistics on Query Expressions
  
  Nicolas Bruno, Surajit Chaudhuri
  
  SIGMOD | January 2004
  
  Publication 프로젝트 프로젝트
- Automatic Categorization of Query Results
  
  Kaushik Chakrabarti, Surajit Chaudhuri, Seung-won Hwang
  
  ACM SIGMOD Conference | January 2004
  
  출판 프로젝트 프로젝트
- Primitives for Workload Summarization and Implications for SQL
  
  Surajit Chaudhuri, Prasanna Ganesan, Vivek Narasayya
  
  VLDB | September 2003
  
  VLDB
  
  출판 프로젝트
- Robust and Efficient Fuzzy Match for Online Data Cleaning
  
  Surajit Chaudhuri, Kris Ganjam, Venky Ganti, Rajeev Motwani
  
  January 2003
  
  출판 프로젝트
- Databases and IR: Perspectives of a SQL Guy
  
  Surajit Chaudhuri
  
  NSF Information and Data Management PI Workshop | January 2003
  
  출판
- On Relational Support for XML Publishing: Beyond Sorting and Tagging
  
  Surajit Chaudhuri, Raghav Kaushik, Jeffrey F. Naughton
  
  SIGMOD | January 2003
  
  SIGMOD
  
  출판
- 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
  
  출판
- DBXplorer: Enabling Keyword Search over Relational Databases
  
  Sanjay Agrawal, Surajit Chaudhuri, Gautam Das
  
  ACM SIGMOD 2002 | June 2002
  
  ISBN: 1-58113-497-5
  
  출판 출판 프로젝트
- Compressing SQL Workloads
  
  Surajit Chaudhuri, Vivek Narasayya
  
  SIGMOD | June 2002
  
  출판 프로젝트
- 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
  
  출판 출판
- Efficient Evaluation of Queries with Mining Predicates
  
  Surajit Chaudhuri, Sunita Sarawagi, Vivek Narasayya
  
  Proceedings of 18th International Conference on Data Engineering | January 2002
  
  출판 프로젝트
- Extensible Query Optimizers in Practice
  
  Bailu Ding, Vivek Narasayya, Surajit Chaudhuri
  
  Published by Foundations and Trends® in Databases | December 2024, Vol 14
  
  Publication DOI PDF
- 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
  
  출판 출판 프로젝트
- STHoles: A Multidimensional Workload-Aware Histogram
  
  Nicolas Bruno, Surajit Chaudhuri, Luis Gravano
  
  MSR-TR-2001-36 | March 2001
  
  글쓴이 Microsoft
  
  Publication 프로젝트 프로젝트
- Accurate Query Optimization by Sub-plan Memoization
  
  Ashraf Aboulnaga, Surajit Chaudhuri
  
  MSR-TR-1999-102 | December 1999
  
  출판 출판 프로젝트
- High-Performance Row Pattern Recognition Using Joins (Technical Report)
  
  Erkang (Eric) Zhu, Silu Huang, Surajit Chaudhuri
  
  MSR-TR-2022-34 | May 2022
  
  글쓴이 Microsoft
  
  Publication
- COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics (Extended Version)
  
  Tarique Siddiqui, Surajit Chaudhuri, Vivek Narasayya
  
  MSR-TR-2021-13 | July 2021
  
  글쓴이 Microsoft Research
  
  Publication
- Bitvector-aware Query Optimization for Decision Support Queries (extended version)
  
  Bailu Ding, Surajit Chaudhuri, Vivek Narasayya
  
  MSR-TR-2020-8 | April 2020
  
  글쓴이 Microsoft
  
  Publication 프로젝트
- Anytime Algorithm of Database Tuning Advisor for Microsoft SQL Server
  
  Surajit Chaudhuri, Vivek Narasayya
  
  June 2020
  
  Publication 프로젝트
- An Overview of Query Optimization in Relational Systems (paper)
  
  Surajit Chaudhuri
  
  January 1998
  
  Proceedings of 1998 ACM PODS
  
  출판 프로젝트
- Databases and IR: Perspectives of a SQL Guy
  
  Surajit Chaudhuri
  
  January 2003
  
  NSF Information and Data Management PI Workshop
  
  출판

Surajit Chaudhuri

출판물

Understanding and Detecting Query Performance Regression in Practical Index Tuning

MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark

Table-Specialist: Language Model Specialists for Tables using Iterative Fine-tuning

Auto-Prep: Holistic Prediction of Data Preparation Steps for Self-Service Business Intelligence

Esc: An Early-stopping Checker for Budget-aware Index Tuning (Extended Version)

Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables

Extensible Query Optimizers in Practice

Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations

Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks

Wii: Dynamic Budget Reallocation In Index Tuning (Extended Version)

Wred: Workload Reduction for Scalable Index Tuning

Cache-Efficient Top-k Aggregation over High Cardinality Large Datasets

Flexible Resource Allocation for Relational Database-as-a-Service

Analyzing the Impact of Cardinality Estimation on Execution Plans in Microsoft SQL Server

Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph

Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples

Auto-Validate by-History: Auto Program Data Quality Constraints to Validate Recurring Data Pipelines

T-Rex: Optimizing Pattern Search on Time Series

High-Performance Row Pattern Recognition Using Joins

DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning (Extended Version)

Budget-aware Index Tuning with Reinforcement Learning (Extended Version)

ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning (Extended Version)

High-Performance Row Pattern Recognition Using Joins (Technical Report)

PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication

Leveraging query logs and machine learning for parametric query optimization

Pre-training Summarization Models of Structured Datasets for Cardinality Estimation

DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems

Data-induced predicates for sideways information passing in query optimizers

COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics

Hyperspace: The Indexing Subsystem of Azure Synapse

COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics (Extended Version)

Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search

Efficiently Approximating Selectivity Functions using Low Overhead Regression Models

Pushing Data-Induced Predicates Through Joins in Big-Data Clusters

Auto-Transform: Learning-to-Transform by Patterns

Anytime Algorithm of Database Tuning Advisor for Microsoft SQL Server

Bitvector-aware Query Optimization for Decision Support Queries

Bitvector-aware Query Optimization for Decision Support Queries (extended version)

Customizable and Scalable Fuzzy Join for Big Data

Experiences with Approximating Queries in Microsoft’s Production Big-Data Clusters

Selectivity Estimation for Range Predicates using Lightweight Models

Automatically Indexing Millions of Databases in Microsoft Azure SQL Database

AI Meets AI: Leveraging Query Executions to Improve Index Recommendations

Efficient Identification of Approximate Best Configuration of Training in Large Datasets

ABC: Efficient Selection of Machine Learning Configuration on Large Dataset

Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations

Plan Stitch: Harnessing the Best of Many Plans

Accelerating Machine Learning Inference with Probabilistic Predicates

Interactive Demonstration of Probabilistic Predicates

Transform-Data-by-Example (TDE): Extensible Data Transformation in Excel

Auto-Join: Joining Tables by Leveraging Transformations

Approximate Query Processing: No Silver Bullet

Leveraging Re-costing for Online Optimization of Parameterized Queries with Guarantees

Data Services Leveraging Bing’s Data Assets

Data Services Leveraging Bing’s Data Assets

Sample + Seek: Approximating Aggregates with Distribution Precision Guarantee

Operator and Query Progress Estimation in Microsoft SQL Server Live Query Statistics

Quickr: Lazily Approximating Complex Ad-Hoc Queries in Big Data Clusters

Sample + Seek: Approximating Aggregates with Distribution Precision Guarantee

Sharing Buffer Pool Memory in Multi-Tenant Relational Database-as-a-Service

S4: Top-k Spreadsheet-Style Search for Query Discovery

AutoTag’n Search My Photos: Leveraging the Social Graph for Photo Tagging

ClusterJoin: A Similarity Joins Framework using Map-Reduce

Finding Patterns in a Knowledge Base using Keywords to Compose Table Answers

Fast foreign-key detection in Microsoft SQL server PowerPivot for Excel

Discovering Queries based on Example Tuples

Database Application Developer Tools Using Static Analysis and Dynamic Profiling

A Demonstration of SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service

Data Services for E-tailers Leveraging Web Search Engine Assets

SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service

Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques

Experiences with using Data Cleaning Technology for Bing Services

Targeted Disambiguation of Ad-hoc, Homogeneous Sets of Named Entities

A Framework for Robust Discovery of Entity Synonyms

A Statistical Approach Towards Robust Progress Estimation

A Statistical Approach Towards Robust Progress Estimation

InfoGather: Entity Augmentation and Attribute Discovery By Holistic Matching with Web Tables

Targeted Disambiguation of Ad-hoc, Homogeneous Sets of Named Entities