Preprints

  1. Gaussian Process Regression in Latent Space
    (technical report)

  2. BlinkML: Approximate Machine Learning with Probabilistic Guarantees
    Yongjoo Park, Jingyi Qing, Xiaoyang Shen, Barzan Mozafari
    (technical report)

Peer-reviewed publications

  1. VerdictDB: Universalizing Approximate Query Processing
    Yongjoo Park, Barzan Mozafari, Joseph Sorenson, Junhao Wang
    SIGMOD 2018
    (technical report)

  2. Demonstration of VerdictDB, the Platform-Independent AQP System
    Wen He, Yongjoo Park, Idris Hanafi, Jacob Yatvitskiy, Barzan Mozafari
    SIGMOD 2018 (demo)

  3. Database Learning: Toward a Database that Becomes Smarter Every Time
    Yongjoo Park, Amhad Shahab Tajik, Michael Cafarella, Barzan Mozafari
    SIGMOD 2017
    (pdf), (technical report), (slides)

  4. Active Database Learning
    Yongjoo Park
    CIDR 2017 (abstract)
    (pdf)

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

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

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

Presentations without proceedings

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

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

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

Technical reports (full versions to published papers)

  1. VerdictDB: Universalizing Approximate Query Processing
    Yongjoo Park, Barzan Mozafari, Joseph Sorenson, Junhao Wang
    (technical report)

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

  3. Neighbor-Sensitive Hashing
    Yongjoo Park, Michael Cafarella, Barzan Mozafari
    (technical report)

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

Talks / Presentations

  1. Oracle BI Group, Redwood City, December 2017

  2. ACAIA workshop, San Jose, November 2017

  3. Oracle Database Group, Redwood City, November 2017

  4. Cloudera Impala Team, Palo Alto, November 2017

  5. Big Data Innovation Summit, Boston, Septempber 2017

  6. New Tech Meetup, Ann Arbor, July 2017

  7. SIGMOD, Chicago, May 2017

  8. University of Michigan Software Group, Ann Arbor, May 2017

  9. Brown Database Group, Providence, March 2017

  10. Stanford InfoLab, Palo Alto, February 2017

  11. CIDR, Chaminade, California, January 2017

  12. MBDOC, Chicago, September 2016

  13. VLDB, New Delhi, India, September 2016

  14. ICDE, Helsinki, Finland, May 2016

  15. AVL (www.avl.com), Ann Arbor, April 2016

  16. NEDB, Boston, January 2016

  17. VSM@ICCV, Santiago, Chile, December 2015