Eugene Wu

Bio

Eugene Wu is broadly interested in technologies that help users play with their data. His goal is for users at all technical levels to effectively and quickly make sense of their information. He is interested in solutions that ultimately improve the interface between users and data, and uses techniques borrowed from fields such as data management, systems, crowd sourcing, visualization, and HCI. Eugene Wu received his Ph.D. from MIT, B.S. from Cal, and was a postdoc in the AMPLab. A profile, an obit.

Eugene Wu has received the VLDB 2018 10-year test of time award, best-of-conference citations at ICDE and VLDB, the SIGMOD 2016 best demo award, the NSF CAREER, and the Google and Amazon faculty awards.

The WuLab Website & Blog

Selected Publications (Show All)

  1. From Cleaning Before ML to Cleaning For ML
    Felix Neutatz, Binger Chen, Ziawasch Abedjan, Eugene Wu
    Invited, IEEE Data Engineering Bulletin 2021
  2. Facilitating Exploration with Interaction Snapshots under High Latency
    Yifan Wu, Remco Chang, Joe Hellerstein, Eugene Wu
    InfoVIS (short paper) 2020
  3. Continuous Prefetch for Interactive Data Applications
    Haneen Mohammed, Ziyun Wei, Ravi Netravali, Eugene Wu
    VLDB 2020 Talk Video Blogpost
  4. Complaint-driven Training Data Debugging for Query 2.0
    Young Wu, Lampros Flokas, Jiannan Wang, Eugene Wu
    SIGMOD 2020 Talk Video Blogpost
  5. Physical Visualization Design
    Lana Ramjit, Zhaoning Kong, Ravi Netravali, Eugene Wu
    SIGMOD (demo) 2020
  6. Towards Complaint-driven ML Workflow Debugging
    Lampros Flokas, Young Wu, Jiannan Wang, Eugene Wu
    MLOps 2020
  7. Monte Carlo Tree Search for Generating Interactive Data Analysis Interfaces
    Yiru Chen, Eugene Wu
    Intelligent Process Automation (IPA) 2020
  8. AlphaClean: Automatic Generation of Data Cleaning Pipelines
    Sanjay Krishnan, Eugene Wu
    ArXiv 2019
  9. Towards Democratizing Relational Data Visualization
    Nan Tang, Eugene Wu, Guoliang Li
    SIGMOD 2019 Tutorial
  10. Precision Interfaces
    Qianrui Zhang, Haoci Zhang, Viraj Rai, Thibault Sellam, Eugene Wu
    SIGMOD 2019
  11. DeepBase: Deep Inspection of Neural Networks
    Thibault Sellam, Kevin Lin, Ian Yiran Huang, Michelle Yang, Carl Vondrick, Eugene Wu
    SIGMOD 2019
  12. Deep Neural Inspection Using DeepBase
    Yiru Chen, Yiliang Shi, Boyuan Chen, Thibault Sellam, Carl Vondrick, Eugene Wu
    LearnSys 2018 Workshop at NIPS
  13. Ten Years of Web Tables
    Michael Cafarella, Alon Halevy, Daisy Zhe Wang, Hongrae Lee, Jayant Madhavan, Cong Yu, Eugene Wu
    PVLDB 2018 Invited Paper,
  14. At a Glance: Approximate Entropy as a Measure of Line Chart Visualization Complexity
    Gabriel Ryan, Abigail Mosca, Remco Chang, Eugene Wu
    InfoVIS 2018 Code
  15. Provenance in Interactive Visualizations
    Fotis Psallidas, Eugene Wu
    HILDA 2018
  16. Leveraging Quality Prediction Models for Automatic Writing Feedback
    Hamed Nilforoshan, Eugene Wu
    ICWSM 2018
  17. Precision Interfaces for Different Modalities
    Haoci Zhang, Viraj Rai, Thibault Sellam, Eugene Wu
    SIGMOD (demo) 2018
  18. "I Like the Way You Think!" Inspecting the Internal Logic of Recurrent Neural Networks
    Thibault Sellam, Kevin Lin, Ian Yiran Huang, Carl Vondrick, Eugene Wu
    SysML 2018
  19. Smoke: Fine-grained Lineage at Interactive Speeds
    Fotis Psallidas, Eugene Wu
    VLDB 2018
  20. Mining Precision Interfaces From Query Logs
    Haoci Zhang, Thibault Sellam, Eugene Wu
    Tech Report 2017
  21. PALM: Machine Learning Explanations For Iterative Debugging
    Sanjay Krishnan, Eugene Wu
    HILDA 2017
  22. Combining Design and Performance in a Data Visualization Management System
    Eugene Wu, Fotis Psallidas, Zhengjie Miao, Haoci Zhang, Laura Rettig, Yifan Wu, Thibault Sellam
    CIDR 2017
  23. QFix: Diagnosing errors through query histories
    Xiaolan Wang, Alexandra Meliou, Eugene Wu
    SIGMOD 2017
  24. A DeVIL-ish Approach to Inconsistency in Interactive Visualizations
    Yifan Wu, Joe Hellerstein, Eugene Wu
    HILDA 2016
  25. PFunk-H: Approximate Query Processing using Perceptual Models
    Daniel Alabi, Eugene Wu
    HILDA 2016
  26. ActiveClean: Interactive Data Cleaning While Learning Convex Loss Models
    Sanjay Krishnan, Jiannan Wang, Eugene Wu, Michael J. Franklin, Ken Goldberg
    Arxiv 2016
  27. Towards Perception-aware Interactive Data Visualization Systems
    Eugene Wu, Arnab Nandi
    DSIA 2015 Slides
  28. Explaining Data in Visual Analytic Systems
    Eugene Wu
    Doctoral Thesis 2015
  29. The Case for Data Visualization Management Systems
    Eugene Wu, Leilani Battle, Samuel Madden
    VLDB 2014
  30. Scorpion: Explaining Away Outliers in Aggregate Queries
    Eugene Wu, Samuel Madden
    VLDB 2013 (Best-of) Slides
  31. SubZero: a Fine-Grained Lineage System for Scientific Databases
    Eugene Wu, Samuel Madden, Michael Stonebraker
    ICDE 2013 (Best-of)
  32. Human-powered Sorts and Joins
    Adam Marcus, Eugene Wu, David Karger, Samuel Madden, Robert Miller
    VLDB 2012
  33. No Bits Left Behind
    Eugene Wu, Carlo Curino, Sam Madden
    CIDR 2011
  34. Crowdsourced Databases: Query Processing with People
    Adam Marcus, Eugene Wu, Sam Madden, Robert Miller
    CIDR 2011
  35. Relational Cloud: A Database-as-a-Service for the Cloud
    Carlo Curino, Evan Jones, Raluca Popa, Nirmesh Malviya, Eugene Wu, Sam Madden, Hari Balakrishnan, Nickolai Zeldovich
    CIDR 2011
  36. High-performance complex event processing over streams
    Eugene Wu, Yanlei Diao, Shariq Rizvi
    SIGMOD 2006