Yongjoo Park    pyongjoo@umich.edu

Conference

  1. Yongjoo Park, Amhad Shahab Tajik, Michael Cafarella, Barzan Mozafari
    “Database Learning: Toward a Database that Becomes Smarter Every Time”
    SIGMOD 2017        (SIGMOD2017 student travel award)
    (pdf), (technical report), (slides)

  2. Yongjoo Park
    “Active Database Learning”
    CIDR 2017 (abstract)
    (pdf)

  3. Yongjoo Park, Michael Cafarella, Barzan Mozafari
    “Visualization-Aware Sampling for Very Large Databases”
    ICDE 2016
    (pdf), (technical report), (slides), (demo)

  4. Yongjoo Park, Michael Cafarella, Barzan Mozafari
    “Neighbor-Sensitive Hashing”
    PVLDB 2015
    (pdf), (supplementary document), (slides), (code)

  5. Michael Anderson, Dolan Antenucci, Victor Bittorf, Matthew Burgess, Michael Cafarella, Arun Kumar, Feng Niu, Yongjoo Park, Christopher Ré, Ce Zhang
    “Brainwash: A Data System for Feature Engineering”
    CIDR 2013
    (pdf)

Workshop

  1. Yongjoo Park, Amhad Shahab Tajik, Michael Cafarella, Barzan Mozafari.
    “Building Databases that Become Smarter over Time.”
    Midwest Big Data Opportunities and Challenges (MBDOC) Workshop 2016, Chicago.
    (slides)

  2. Yongjoo Park, Amhad Shahab Tajik, Michael Cafarella, Barzan Mozafari.
    “Database Learning: Toward a Database System that Becomes Smarter Over Time.”
    North East Database Day (NEDB) 2016, Oral, MIT.
    (pdf), (slides)

  3. Yongjoo Park, Michael Cafarella, Barzan Mozafari.
    “Neighbor-Sensitive Hashing.”
    3rd Workshop on Web-scale Vision and Social Media (VSM) at ICCV 2015.
    Extended Abstract.

Technical Report

  1. Yongjoo Park, Amhad Shahab Tajik, Michael Cafarella, Barzan Mozafari
    “Database Learning: Toward a Database System that Becomes Smarter Over Time”
    (technical report)

  2. Yongjoo Park, Michael Cafarella, Barzan Mozafari “Technical Report for Neighbor-Sensitive Hashing”
    (technical report)

  3. Yongjoo Park, Michael Cafarella, Barzan Mozafari
    “Visualization-Aware Sampling for Very Large Databases”
    (technical report)