World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
6941
World Ranking
12446
National Ranking
5046

Overview

Eugene Wu is affiliated with Columbia University in the United States and is active in the field of Computer Science, with a publication record that spans multiple subfields including Artificial Intelligence, Computer Networks and Communications, Management Science and Operations Research, Computer Vision and Pattern Recognition, and Information Systems and Management.

Their research focuses on several main topics within data and computing, such as Data Quality and Management, Advanced Database Systems and Queries, Data Visualization and Analytics, Scientific Computing and Data Management, Topic Modeling, Privacy-Preserving Technologies in Data, and Data Management and Algorithms.

Eugene Wu has contributed to a substantial number of scientific papers published in well-known venues. Among the most frequent publication venues are arXiv (Cornell University), Proceedings of the VLDB Endowment, Proceedings of the 2022 International Conference on Management of Data, Proceedings of the ACM on Management of Data, and Proceedings of the National Academy of Sciences.

Their recent papers include these works:

  • A neural network solves, explains, and generates university math problems by program synthesis and few-shot learning at human level (2022), Proceedings of the National Academy of Sciences
  • PI2: End-to-end Interactive Visualization Interface Generation from Queries (2022), Proceedings of the 2022 International Conference on Management of Data
  • spade: Synthesizing Data Quality Assertions for Large Language Model Pipelines (2024), Proceedings of the VLDB Endowment
  • Enabling SQL-based training data debugging for federated learning (2021), Proceedings of the VLDB Endowment
  • Complaint-Driven Training Data Debugging at Interactive Speeds (2022), Proceedings of the 2022 International Conference on Management of Data

They have collaborated frequently with several co-authors, including:

  • Zezhou Huang
  • Jiannan Wang
  • Aditya Parameswaran
  • Yiru Chen
  • Weiyuan Wu

Best Publications

  • High-performance complex event processing over streams

    Eugene Wu;Yanlei Diao;Shariq Rizvi

  • WebTables: exploring the power of tables on the web

    Michael J. Cafarella;Alon Halevy;Daisy Zhe Wang;Eugene Wu

  • Relational Cloud: A Database-as-a-Service for the Cloud

    Carlo Curino;Evan Philip Charles Jones;Raluca Ada Popa;Nirmesh Malviya

  • Scorpion: explaining away outliers in aggregate queries

    Eugene Wu;Samuel Madden

  • Human-powered sorts and joins

    Adam Marcus;Eugene Wu;David Karger;Samuel Madden

  • Design Considerations for High Fan-In Systems: The HiFi Approach.

    Michael J. Franklin;Shawn R. Jeffery;Sailesh Krishnamurthy;Frederick Reiss

  • Crowdsourced Databases: Query Processing with People

    Adam Marcus;Eugene Wu;David R. Karger;Samuel R. Madden

  • TrajStore: An adaptive storage system for very large trajectory data sets

    Philippe Cudre-Mauroux;Eugene Wu;Samuel Madden

  • Relational Cloud: a Database Service for the cloud.

    Carlo Curino;Evan P. C. Jones;Raluca A. Popa;Nirmesh Malviya

  • ActiveClean: interactive data cleaning for statistical modeling

    Sanjay Krishnan;Jiannan Wang;Eugene Wu;Michael J. Franklin

  • Uncovering the Relational Web

    Michael J. Cafarella;Alon Y. Halevy;Yang Zhang;Daisy Zhe Wang

  • SASE: Complex Event Processing over Streams

    Daniel Gyllstrom;Eugene Wu;Hee-Jin Chae;Yanlei Diao

  • The case for data visualization management systems: vision paper

    Eugene Wu;Leilani Battle;Samuel R. Madden

  • Automated Metadata Construction to Support Portable Building Applications

    Arka A. Bhattacharya;Dezhi Hong;David Culler;Jorge Ortiz

  • PALM: Machine Learning Explanations For Iterative Debugging

    Sanjay Krishnan;Eugene Wu

  • Towards reliable interactive data cleaning: a user survey and recommendations

    Sanjay Krishnan;Daniel Haas;Michael J. Franklin;Eugene Wu

  • Collaborative data analytics with DataHub

    Anant Bhardwaj;Amol Deshpande;Aaron J. Elmore;David Karger

  • BoostClean: Automated Error Detection and Repair for Machine Learning

    Sanjay Krishnan;Michael J. Franklin;Ken Goldberg;Eugene Wu

  • CLAMShell: speeding up crowds for low-latency data labeling

    Daniel Haas;Jiannan Wang;Eugene Wu;Michael J. Franklin

  • ActiveClean: An Interactive Data Cleaning Framework For Modern Machine Learning

    Sanjay Krishnan;Michael J. Franklin;Ken Goldberg;Jiannan Wang

  • Smoke: fine-grained lineage at interactive speed

    Fotis Psallidas;Eugene Wu

Frequent Co-Authors

Michael J. Franklin
Michael J. Franklin University of Chicago
Remco Chang
Remco Chang Tufts University
Ken Goldberg
Ken Goldberg University of California, Berkeley
Alon Halevy
Alon Halevy Facebook (United States)
Philippe Cudré-Mauroux
Philippe Cudré-Mauroux University of Fribourg
Carlo Curino
Carlo Curino Microsoft (United States)

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

If you're interested in studying Computer Science in the USA, it’s helpful to explore related degree options and career paths that align with your goals. For those seeking a focused technical education, consider the best online electrical engineering programs USA to build expertise in hardware, circuits, and the foundations of digital systems.

Looking to quickly boost your credentials? Earning easy certifications that pay well can be a fast-track route to higher-paying roles in technology or IT support, often requiring less time and financial investment than a degree.

For those eager to advance with minimal delay, explore the shortest online masters degree programs. These can help you gain advanced knowledge and specialized skills efficiently—ideal if you want to enter the workforce or seek promotions sooner.

When considering long-term career value, it’s wise to pursue one of the most useful masters degrees. These in-demand programs can open doors to high-growth tech sectors, giving you a competitive edge in the job market.

Best Scientists Citing Eugene Wu

Trending Scientists