Dixin Tang

According to our database, Dixin Tang authored at least 20 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Transactional Panorama: A Conceptual Framework for User Perception in Analytical Visual Interfaces.

Dixin Tang, Alan D. Fekete, Indranil Gupta, Aditya G. Parameswaran

Proc. VLDB Endow., 2023

Visualizing Spreadsheet Formula Graphs Compactly.

Fanchao Chen, Dixin Tang, Haotian Li, Aditya G. Parameswaran

Proc. VLDB Endow., 2023

Efficient and Compact Spreadsheet Formula Graphs.

Dixin Tang, Fanchao Chen, Christopher De Leon, Tana Wattanawaroon, Jeaseok Yun, Srinivasan Seshadri, Aditya G. Parameswaran

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2021

Flexible Rule-Based Decomposition and Metadata Independence in Modin: A Parallel Dataframe System.

Devin Petersohn, Dixin Tang, Rehan Sohail Durrani, Areg Melik-Adamyan, Joseph Gonzalez, Anthony D. Joseph, Aditya G. Parameswaran

Proc. VLDB Endow., 2021

Lux: Always-on Visualization Recommendations for Exploratory Dataframe Workflows.

Doris Jung Lin Lee, Dixin Tang, Kunal Agarwal, Thyne Boonmark, Caitlyn Chen, Jake Kang, Ujjaini Mukhopadhyay, Jerry Song, Micah Yong, Marti A. Hearst, Aditya G. Parameswaran

Proc. VLDB Endow., 2021

Enhancing the Interactivity of Dataframe Queries by Leveraging Think Time.

Doris Xin, Devin Petersohn, Dixin Tang, Yifan Wu, Joseph E. Gonzalez, Joseph M. Hellerstein, Anthony D. Joseph, Aditya G. Parameswaran

IEEE Data Eng. Bull., 2021

Lux: Always-on Visualization Recommendations for Exploratory Data Science.

Doris Jung Lin Lee, Dixin Tang, Kunal Agarwal, Thyne Boonmark, Caitlyn Chen, Jake Kang, Ujjaini Mukhopadhyay, Jerry Song, Micah Yong, Marti A. Hearst, Aditya G. Parameswaran

CoRR, 2021

Resource-efficient Shared Query Execution via Exploiting Time Slackness.

Dixin Tang, Zechao Shang, William W. Ma, Aaron J. Elmore, Sanjay Krishnan

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

CIAO: An Optimization Framework for Client-Assisted Data Loading.

Cong Ding, Dixin Tang, Xi Liang, Aaron J. Elmore, Sanjay Krishnan

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

CrocodileDB in Action: Resource-Efficient Query Execution by Exploiting Time Slackness.

Dixin Tang, Zechao Shang, Aaron J. Elmore, Sanjay Krishnan, Michael J. Franklin

Proc. VLDB Endow., 2020

Thrifty Query Execution via Incrementability.

Dixin Tang, Zechao Shang, Aaron J. Elmore, Sanjay Krishnan, Michael J. Franklin

Proceedings of the 2020 International Conference on Management of Data, 2020

CrocodileDB: Efficient Database Execution through Intelligent Deferment.

Zechao Shang, Xi Liang, Dixin Tang, Cong Ding, Aaron J. Elmore, Sanjay Krishnan, Michael J. Franklin

Proceedings of the 10th Conference on Innovative Data Systems Research, 2020

2019

Intermittent Query Processing.

Dixin Tang, Zechao Shang, Aaron J. Elmore, Sanjay Krishnan, Michael J. Franklin

Proc. VLDB Endow., 2019

Socrates: The New SQL Server in the Cloud.

Panagiotis Antonopoulos, Alex Budovski, Cristian Diaconu, Alejandro Hernandez Saenz, Jack Hu, Hanuma Kodavalla, Donald Kossmann, Sandeep Lingam, Umar Farooq Minhas, Naveen Prakash, Vijendra Purohit, Hugh Qu, Chaitanya Sreenivas Ravella, Krystyna Reisteter, Sheetal Shrotri, Dixin Tang, Vikram Wakade

Proceedings of the 2019 International Conference on Management of Data, 2019

2018

Toward Coordination-free and Reconfigurable Mixed Concurrency Control.

Dixin Tang, Aaron J. Elmore

Proceedings of the 2018 USENIX Annual Technical Conference, 2018

2017

Adaptive Concurrency Control: Despite the Looking Glass, One Concurrency Control Does Not Fit All.

Dixin Tang, Hao Jiang, Aaron J. Elmore

Proceedings of the 8th Biennial Conference on Innovative Data Systems Research, 2017

2016

SparkArray: An Array-Based Scientific Data Management System Built on Apache Spark.

Wenjuan Wang, Taoying Liu, Dixin Tang, Hong Liu, Wei Li, Rubao Lee

Proceedings of the IEEE International Conference on Networking, 2016

A Case Study of Optimizing Big Data Analytical Stacks Using Structured Data Shuffling.

Dixin Tang, Taoying Liu, Rubao Lee, Hong Liu, Wei Li

Proceedings of the 2016 IEEE International Congress on Big Data, San Francisco, CA, USA, June 27, 2016

2014

Optimizing the Join Operation on Hive to Accelerate Cross-Matching in Astronomy.

Liang Li, Dixin Tang, Taoying Liu, Hong Liu, Wei Li, Chenzhou Cui

Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014

RHJoin: A fast and space-efficient join method for log processing in MapReduce.

Dixin Tang, Taoying Liu, Hong Liu, Wei Li

Proceedings of the 20th IEEE International Conference on Parallel and Distributed Systems, 2014