Note for non-CS folks: Unlike many other disciplines, in computer science, conferences are the major venues for publishing research results and disseminating state-of-the-art knowledge. The primary conferences in the data-systems area include SIGMOD and VLDB while the conferences like ICDE and CIKM are more inter-disciplinary (both data systems and data mining).

CONFERENCE PROCEEDINGS

  1. Johes Bater, Yongjoo Park, Xi He, Xiao Wang, Jennie Rogers
    SAQE: Practical Privacy-Preserving Approximate Query Processing for Data Federations
    PVLDB 2020 (research)
    (pdf)

  2. Yongjoo Park* , Shucheng Zhong*, Barzan Mozafari
    QuickSel: Quick Selectivity Learning with Mixture Models
    SIGMOD 2020 (research)
    (pdf), (a longer version), (code)
    * indicates equal contributions

  3. Yongjoo Park, Jingyi Qing, Xiaoyang Shen, Barzan Mozafari
    BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees
    SIGMOD 2019 (research)
    (pdf)

  4. Yongjoo Park, Barzan Mozafari, Joseph Sorenson, Junhao Wang
    VerdictDB: Universalizing Approximate Query Processing
    SIGMOD 2018 (research)
    (pdf), (technical report), (slides), (project website), (GitHub repo)

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

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

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

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

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

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

TECHNICAL REPORTS

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

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

  3. Yongjoo Park, Michael Cafarella, Barzan Mozafari
    Neighbor-Sensitive Hashing

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

WORKSHOPS (no proceedings)

  1. Yongjoo Park
    Approximation is Bliss: Approximate Computing in Database Systems
    Workshop on Approximate Computing Across the Stack (WAX) 2019, Phoenix, Arizona
    Invited Talk, (slides)

  2. 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)

  3. 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)

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

TALKS

  1. SIGMOD, Amsterdam, June 2019
  2. WAX workshop, Phoenix, June 2019
  3. Criteo NABD conference, Ann Arbor, May 2019
  4. University of Texas, Austin, April 2019
  5. Penn State University, State College, April 2019
  6. Purdue University, West Lafayette, April 2019
  7. Northeastern University, Boston, March 2019
  8. University of Waterloo, March 2019
  9. Georgia Tech, Atlanta, March 2019
  10. University of Illinois, Urbana-Champaign, March 2019
  11. Microsoft Research, Redmond, February 2019
  12. Northwestern University, Redmond, February 2019
  13. Microsoft, Redmond, February 2019
  14. IBM Research, Almaden, February 2019
  15. SIGMOD, Houstin, June 2018
  16. AVL (www.avl.com), Ann Arbor, April 2018
  17. Oracle BI Group, Redwood City, December 2017
  18. ACAIA workshop, San Jose, November 2017
  19. Oracle Database Group, Redwood City, November 2017
  20. Cloudera Impala Team, Palo Alto, November 2017
  21. Big Data Innovation Summit, Boston, Septempber 2017
  22. New Tech Meetup, Ann Arbor, July 2017
  23. SIGMOD, Chicago, May 2017
  24. University of Michigan Software Group, Ann Arbor, May 2017
  25. Brown Database Group, Providence, March 2017
  26. Stanford InfoLab, Palo Alto, February 2017
  27. CIDR, Chaminade, California, January 2017
  28. MBDOC, Chicago, September 2016
  29. VLDB, New Delhi, India, September 2016
  30. ICDE, Helsinki, Finland, May 2016
  31. AVL (www.avl.com), Ann Arbor, April 2016
  32. NEDB, Boston, January 2016
  33. VSM@ICCV, Santiago, Chile, December 2015