Linkage Query Writer. - Oktie Hassanzadeh; Reynold Xin; Renée J. Miller; Anastasios Kementsietsidis; Lipyeow Lim; Min Wang 001 (Proc. VLDB Endow., 2009)

BibBase triplified. - Oktie Hassanzadeh; Reynold Xin; Christian Fritz 001; Yang Yang; Jiang Du 001; Minghua Zhao; Renée J. Miller (I-SEMANTICS, 2010)

Publishing Bibliographic Data on the Semantic Web using BibBase. - Reynold Xin; Oktie Hassanzadeh; Christian Fritz 001; Shirin Sohrabi; Yang Yang; Minghua Zhao; Renée J. Miller (ISWC (Posters & Demos), 2010)

MEET DB2: Automated Database Migration Evaluation. - Reynold Xin; Patrick Dantressangle; Sam Lightstone; William McLaren; Steve Schormann; Maria Schwenger (Proc. VLDB Endow., 2010)

CrowdDB: answering queries with crowdsourcing. - Michael J. Franklin; Donald Kossmann; Tim Kraska; Sukriti Ramesh; Reynold Xin (SIGMOD Conference, 2011)

CrowdDB: Query Processing with the VLDB Crowd. - Amber Feng; Michael J. Franklin; Donald Kossmann; Tim Kraska; Samuel Madden 001; Sukriti Ramesh; Andrew Wang 002; Reynold Xin (Proc. VLDB Endow., 2011)

Shark: fast data analysis using coarse-grained distributed memory. - Cliff Engle; Antonio Lupher; Reynold Xin; Matei Zaharia; Michael J. Franklin; Scott Shenker; Ion Stoica (SIGMOD Conference, 2012)

Finding related tables. - Anish Das Sarma; Lujun Fang; Nitin Gupta 003; Alon Y. Halevy; Hongrae Lee; Fei Wu 003; Reynold Xin; Cong Yu 001 (SIGMOD Conference, 2012)

Improving Data Management Applications Using Microtask Platforms. - Jiannan Wang 001; Reynold Xin (Adv. Math. Commun., 2012)

The End of an Architectural Era for Analytical Databases. - Reynold Xin (Adv. Math. Commun., 2012)

Beating State-of-the-art By -10000%. - Reynold Xin (CIDR, 2013)

The Case for Tiny Tasks in Compute Clusters. - Kay Ousterhout; Aurojit Panda; Josh Rosen; Shivaram Venkataraman; Reynold Xin; Sylvia Ratnasamy; Scott Shenker; Ion Stoica (HotOS, 2013)

GraphX: a resilient distributed graph system on Spark. - Reynold S. Xin; Joseph E. Gonzalez; Michael J. Franklin; Ion Stoica (GRADES, 2013)

Shark: SQL and rich analytics at scale. - Reynold S. Xin; Josh Rosen; Matei Zaharia; Michael J. Franklin; Scott Shenker; Ion Stoica (SIGMOD Conference, 2013)

Publishing bibliographic data on the Semantic Web using BibBase. - Reynold S. Xin; Oktie Hassanzadeh; Christian Fritz 001; Shirin Sohrabi; Renée J. Miller (Semantic Web, 2013)

GraphX: Graph Processing in a Distributed Dataflow Framework. - Joseph E. Gonzalez; Reynold S. Xin; Ankur Dave; Daniel Crankshaw; Michael J. Franklin; Ion Stoica (OSDI, 2014)

Fine-grained partitioning for aggressive data skipping. - Liwen Sun; Michael J. Franklin; Sanjay Krishnan; Reynold S. Xin (SIGMOD Conference, 2014)

GraphX: Unifying Data-Parallel and Graph-Parallel Analytics. - Reynold S. Xin; Daniel Crankshaw; Ankur Dave; Joseph E. Gonzalez; Michael J. Franklin; Ion Stoica (CoRR, 2014)

A Partitioning Framework for Aggressive Data Skipping. - Liwen Sun; Sanjay Krishnan; Reynold S. Xin; Michael J. Franklin (Proc. VLDB Endow., 2014)

Spark SQL: Relational Data Processing in Spark. - Michael Armbrust; Reynold S. Xin; Cheng Lian; Yin Huai; Davies Liu; Joseph K. Bradley; Xiangrui Meng; Tomer Kaftan; Michael J. Franklin; Ali Ghodsi 002; Matei Zaharia (SIGMOD Conference, 2015)

Scaling Spark in the Real World: Performance and Usability. - Michael Armbrust; Tathagata Das; Aaron Davidson; Ali Ghodsi 002; Andrew Or; Josh Rosen; Ion Stoica; Patrick Wendell; Reynold Xin; Matei Zaharia (Proc. VLDB Endow., 2015)

GraphFrames: an integrated API for mixing graph and relational queries. - Ankur Dave; Alekh Jindal; Li Erran Li; Reynold Xin; Joseph Gonzalez 001; Matei Zaharia (GRADES, 2016)

Introduction to Spark 2.0 for Database Researchers. - Michael Armbrust; Doug Bateman; Reynold Xin; Matei Zaharia (SIGMOD Conference, 2016)

SparkR: Scaling R Programs with Spark. - Shivaram Venkataraman; Zongheng Yang; Davies Liu; Eric Liang; Hossein Falaki; Xiangrui Meng; Reynold Xin; Ali Ghodsi 002; Michael J. Franklin; Ion Stoica; Matei Zaharia (SIGMOD Conference, 2016)

Apache Spark: a unified engine for big data processing. - Matei Zaharia; Reynold S. Xin; Patrick Wendell; Tathagata Das; Michael Armbrust; Ankur Dave; Xiangrui Meng; Josh Rosen; Shivaram Venkataraman; Michael J. Franklin; Ali Ghodsi 002; Joseph Gonzalez 001; et al. (Commun. ACM, 2016)

MLlib: Machine Learning in Apache Spark. - Xiangrui Meng; Joseph K. Bradley; Burak Yavuz; Evan Randall Sparks; Shivaram Venkataraman; Davies Liu; Jeremy Freeman; D. B. Tsai; Manish Amde; Sean Owen; Doris Xin; Reynold Xin; et al. (J. Mach. Learn. Res., 2016)

Spark and Scala (keynote). - Reynold Xin (SCALA@SPLASH, 2017)

Structured Streaming: A Declarative API for Real-Time Applications in Apache Spark. - Michael Armbrust; Tathagata Das; Joseph Torres; Burak Yavuz; Shixiong Zhu; Reynold Xin; Ali Ghodsi 002; Ion Stoica; Matei Zaharia (SIGMOD Conference, 2018)

Go with the Flow: Graphs, Streaming and Relational Computations over Distributed Dataflow. - Reynold Shi Xin (2018)

SparkFuzz: searching correctness regressions in modern query engines. - Bogdan Ghit; Nicolás Poggi; Josh Rosen; Reynold Xin; Peter A. Boncz (DBTest@SIGMOD, 2020)

Delta Lake: High-Performance ACID Table Storage over Cloud Object Stores. - Michael Armbrust; Tathagata Das; Sameer Paranjpye; Reynold Xin; Shixiong Zhu; Ali Ghodsi 002; Burak Yavuz; Mukul Murthy; Joseph Torres; Liwen Sun; Peter A. Boncz; Mostafa Mokhtar; et al. (Proc. VLDB Endow., 2020)

Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics. - Matei Zaharia; Ali Ghodsi 002; Reynold Xin; Michael Armbrust (CIDR, 2021)

It Takes a Community: The Open-source Challenge. - Reynold Xin; Wes McKinney; Alan Gates; Chris McCubbin (ACM Queue, 2021)

Photon: A Fast Query Engine for Lakehouse Systems. - Alexander Behm; Shoumik Palkar; Utkarsh Agarwal; Timothy Armstrong; David Cashman; Ankur Dave; Todd Greenstein; Shant Hovsepian; Ryan Johnson; Arvind Sai Krishnan; Paul Leventis; Ala Luszczak; et al. (SIGMOD Conference, 2022)

Making Data Engineering Declarative. - Michael Armbrust; Ali Ghodsi 002; Reynold Xin; Vuk Ercegovac; Sourav Chatterji; Eun-Gyu Kim; Paul Lappas; Yannis Papakonstantinou; Yingyi Bu; Yuhong Chen; Yijia Cui; Rahul Govind; et al. (CIDR, 2023)

Adaptive and Robust Query Execution for Lakehouses At Scale. - Maryann Xue; Yingyi Bu; Abhishek Somani; Wenchen Fan; Ziqi Liu; Steven Chen; Herman Van Hovell; Bart Samwel; Mostafa Mokhtar; Rk Korlapati; Andy Lam; Yunxiao Ma; et al. (Proc. VLDB Endow., 2024)

Blink Twice - Automatic Workload Pinning and Regression Detection for Versionless Apache Spark using Retries. - Justin Breese; Vijayan Prabhakaran; Martin Grund; Stefania Leone; Amit Shukla; Michael Armbrust; Reynold Xin; Matei Zaharia; Lennart Kats; Sung Chiu; Tatiana Romanova; Philip Nord; et al. (SIGMOD Conference Companion, 2025)

Unity Catalog: Open and Universal Governance for the Lakehouse and Beyond. - Ramesh Chandra; Haogang Chen 003; Ray Matharu; Sarah Cai; Jeff Chen; Priyam Dutta; Bogdan Ghita 004; Todd Greenstein; Gopal Holla; Peng Huang; Yuchen Huo; Adrian Ionescu; et al. (SIGMOD Conference Companion, 2025)

Databricks Lakeguard: Supporting Fine-grained Access Control and Multi-user Capabilities for Apache Spark Workloads. - Martin Grund; Stefania Leone; Herman Van Hövell; Sven Wagner-Boysen; Sebastian Hillig; Hyukjin Kwon; David Lewis; Jakob Mund; Polo-Francois Poli; Lionel Montrieux; Othon Crelier; Xiao Li; et al. (SIGMOD Conference Companion, 2025)