About

I am a postdoc scholar at UC Berkeley working with Prof. Aditya Parameswaran. I am part of the Data Systems and Foundations group and affiliated with EPIC and SKY labs. Before joining UC Berkeley, I earned my Ph.D. degree from the CS Department of UChicago, advised by Prof. Aaron Elmore. In addition, I'm fortunate to work with Prof. Sanjay Krishnan and Prof. Michael Franklin at UChicago.

I am currently interested in generalized query optimizations for relational and non-relational data analytical workloads (e.g., pandas dataframes, spreadsheet formulas, and machine learning) and efficiently serving these workloads in the cloud.

I will be joining the CS department of UT Austin as a tenure-track assistant professor in January 2024 and have several Ph.D. positions available for the 23/24 academic year. Please feel free to apply if you are interested.

Recent News

2023-06: I have published a video that summarizes my research in my Ph.D. and PostDoc. Please check it out here!

2023-06: Our paper "Visualizing Spreadsheet Formula Graphs Compactly" is accepted by the Demo Track of VLDB 2023

2023-04: I am invited to be a PC member of HILDA 2023

2023-02: Our paper "Efficient and Compact Spreadsheet Formula Graphs" is accepted by ICDE 2023

2023-01: The paper for Transactional Panorama is accepted by VLDB 2023

More News

Recent Publications

• Visualizing Spreadsheet Formula Graphs Compactly
  Fanchao Chen, Dixin Tang, Haotian Li, Aditya G. Parameswaran
  VLDB 2023, Demo (Code)
• Efficient and Compact Spreadsheet Formula Graphs
  Dixin Tang, Fanchao Chen, Christopher De Leon, Tana Wattanawaroon, Jeaseok Yun, Srinivasan Seshadri, Aditya G. Parameswaran
  ICDE 2023 (Talk Video, Code)
• Transactional Panorama: A Conceptual Framework for User Perception in Analytical Visual Interfaces
  Dixin Tang, Alan Fekete, Indranil Gupta, Aditya G. Parameswaran
  VLDB 2023 (Talk Video, Code)
• Flexible Rule-Based Decomposition and Metadata Independence in Modin: A Parallel Dataframe System
  Devin Petersohn*, Dixin Tang*, Rehan Durrani, Areg Melik-Adamyan, Joseph E. Gonzalez, Anthony D. Joseph, Aditya G. Parameswaran
  VLDB 2022 (Talk Video, Code, *Equal contribution)
• 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
  VLDB 2022 (Talk Video, Code)
• 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
• Resource-efficient Shared Query Execution via Exploiting Time Slackness
  Dixin Tang, Zechao Shang, William Ma, Aaron J. Elmore, Sanjay Krishnan
  SIGMOD 2021 (Short talk, Long talk)
• CIAO: An Optimization Framework for Client-Assisted Data Loading
  Cong Ding, Dixin Tang, Xi Liang, Aaron J. Elmore, Sanjay Krishnan
  ICDE 2021, Short paper (Technical Report)
• CrocodileDB in Action: Resource-Efficient Query Execution by Exploiting Time Slackness
  Dixin Tang, Zechao Shang, Aaron J. Elmore, Sanjay Krishnan, Michael J. Franklin
  VLDB 2020, Demo (Talk Video)
• Thrifty Query Execution via Incrementability
  Dixin Tang, Zechao Shang, Aaron J. Elmore, Sanjay Krishnan, Michael J. Franklin
  SIGMOD 2020 (Talk Video)
• CrocodileDB: Efficient Database Execution through Intelligent Deferment
  Zechao Shang, Xi Liang, Dixin Tang, Cong Ding, Aaron J. Elmore, Sanjay Krishnan, Michael J. Franklin
  CIDR 2020
• Intermittent Query Processing
  Dixin Tang, Zechao Shang, Aaron J. Elmore, Sanjay Krishnan, Michael J. Franklin
  VLDB 2019