Bio

General Information

Full Name Nan Tang (汤南)
Languages Chinese, English

Education

  • 2007
    PhD
    The Chinese University of Hong Kong, Hong Kong
    • Co-supervised by Prof. Kam-Fai Wong and Prof. Jeffery Xu Yu
    • Research on management of semi-structured data
  • 2004
    Master
    Northeastern University, China
    • Supervised by Prof. Guoren Wang and Prof. Ge Yu
    • Research on distributed and parallel XML processing

Experience

  • 2011 - 2023
    Senior Scientist
    Qatar Computing Research Institute, Qatar
    • Research on data prep systems, AI-powered data prep, and data-centric AI
  • 2017/07-08
    Visiting Scientist, US
    MIT CSAIL
    • Collaborating with Prof. Mike Stonebraker, Prof. Sam Madden, and Prof. Armando Solar
    • Research on Data Civilizer project
  • 2010/02-2011/12
    Research Fellow
    University of Edinburgh, Edinburgh, UK
    • Mentored by Prof. Wenfei Fan
    • Research on data cleaning and graph databases
  • 2008/02-2010/01
    Scientific Staff Member
    CWI (the national research institute for mathematics and computer science), the Netherlands
    • Mentored by Prof. Dr. Peter Boncz
    • Research on column-store database MonetDB and distributed XQuery processing
  • 2007/03–08
    Visiting Scholar
    University of Waterloo, Canada
    • Mentored by Prof. Tamer Ozsu
    • Research on XML indexing and query rewriting

Honors and Awards

  • 2024
    • 2024 ACM SIGMOD Research Highlight Award. Unicorn A Unified Multi-tasking Model for Supporting Matching Tasks in Data Integration.
  • 2023
    • Best papers of SIGMOD 2023. GoodCore Data-effective and Data-efficient Machine Learning through Coreset Selection over Incomplete Data.
    • Best papers of VLDB 2023. Self-supervised and Interpretable Data Cleaning with Sequence Generative Adversarial Networks.
    • ICDE 2023 Distinguished Reviewer Award.
  • 2021
    • VLDB 2021 Distinguished Reviewer Award.
  • 2020
    • ACM SIGMOD 2020 Reproducibility Award. Raha A Configuration-Free Error Detection System.
  • 2018
    • Best papers of ICDE 2018. Discovering Mis-Categorized Entities.
  • 2015
    • Best papers of VLDB 2015. Lightning Fast and Space Efficient Inequality Joins.
  • 2012
    • Best papers of ICDE 2012. Incremental Detection of Inconsistencies in Distributed Data.
  • 2010
    • The Best Paper Award of VLDB 2010. Towards Certain Fixes with Editing Rules and Master Data.
  • 2009
    • Best papers of ICDE 2009. Projective Distribution of Full-Fledged XQuery.

Services

  • 2025
    • VLDB (Meta-Reviewer, demo track reviewer), ICDE (research and industial)
  • 2024
    • SIGMOD, VLDB (industrial track), ICDE (research track area chair, industrial track reviewer), CIKM (Area Chair)
  • 2023
    • SIGMOD (research and demo), ICDE, KDD
  • 2022
    • SIGMOD (research and demo), VLDB (research and demo), KDD, VIS, EuroVis
  • 2021
    • SIGMOD (Exhibition Chair), VLDB, KDD, CHI, VIS
  • 2020
    • SIGMOD, VLDB, KDD, DASFAA, ICDCS
  • 2019
    • SIGMOD (research and demo), VLDB (research and demo), KDD, DASFAA (demo co-chair)