Hyunjung Park (박현정)
Contact Information
- Resume (March 2015): pdf
- Email: hyunjung {at} cs.stanford.edu
Publications
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H. Park and J. Widom.
CrowdFill: Collecting Structured Data from the Crowd.
ACM SIGMOD International Conference on Management of Data, Snowbird, Utah, June 2014.
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H. Park.
Crowdsourcing Structured Data.
Ph.D. thesis, Stanford University, June 2014.
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H. Park and J. Widom.
Query Optimization over Crowdsourced Data.
39th International Conference on Very Large Data Bases (VLDB), Trento, Italy, August 2013.
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H. Park, R. Pang, A. Parameswaran, H. Garcia-Molina, N. Polyzotis, and J. Widom.
An Overview of the Deco System: Data Model and Query Language; Query Processing and Optimization.
ACM SIGMOD Record, 41(4):22-27, December 2012.
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H. Park, A. Parameswaran, and J. Widom.
Query Processing over Crowdsourced Data.
Stanford InfoLab Technical Report, November 2012.
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A. Parameswaran, H. Park, H. Garcia-Molina, N. Polyzotis, and J. Widom.
Deco: Declarative Crowdsourcing.
21st ACM International Conference on Information and Knowledge Management (CIKM), Maui, Hawaii, October 2012.
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A. Parameswaran, H. Garcia-Molina, H. Park, N. Polyzotis, A. Ramesh, and J. Widom.
CrowdScreen: Algorithms for Filtering Data with Humans.
ACM SIGMOD International Conference on Management of Data, Scottsdale, Arizona, May 2012.
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R. Ikeda, H. Park, and J. Widom.
Provenance for Generalized Map and Reduce Workflows.
Fifth Biennial Conference on Innovative Data Systems Research (CIDR), Pacific Grove, California, January 2011.
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C. Genzmer, V. Hudlet, H. Park, D. Schall, and P. Senellart.
The SIGMOD 2010 Programming Contest: A Distributed Query Engine.
ACM SIGMOD Record, 39(2):61–64, June 2010.
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P. Agrawal, R. Ikeda, H. Park, and J. Widom.
Trio-ER: The Trio System as a Workbench for Entity-Resolution.
Stanford InfoLab Technical Report, March 2009.
Demonstrations
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H. Park and J. Widom.
CrowdFill: A System for Collecting Structured Data from the Crowd.
23rd International World Wide Web Conference (WWW), Seoul, Korea, April 2014.
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V. Narasayya, S. Das, M. Syamala, S. Chaudhuri, F. Li, and H. Park.
A Demonstration of SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service.
ACM SIGMOD International Conference on Management of Data, New York, New York, June 2013.
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H. Park, R. Pang, A. Parameswaran, H. Garcia-Molina, N. Polyzotis, and J. Widom.
Deco: A System for Declarative Crowdsourcing.
38th International Conference on Very Large Data Bases (VLDB), Istanbul, Turkey, August 2012.
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V. Narasayya, H. Park, and M. Syamala.
Automatic Workload Driven Index Defragmentation.
37th International Conference on Very Large Data Bases (VLDB), Seattle, Washington, August 2011.
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H. Park, R. Ikeda, and J. Widom.
RAMP: A System for Capturing and Tracing Provenance in MapReduce Workflows.
37th International Conference on Very Large Data Bases (VLDB), Seattle, Washington, August 2011.
(Also presented in the Fourth Annual Hadoop Summit, Santa Clara, California, June 2011.)
Projects
- AutoAdmin: Making Database Systems More Self-tuning and Self-managing
- CrowdFill: Collecting Structured Data from the Crowd
- Deco: Declarative Crowdsourcing
- Panda: A System for Provenance and Data
- RAMP: A Hadoop Extension for Provenance Support
- SIGMOD 2010 Programming Contest: A Distributed Query Engine
- SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service
- Trio: A System for Integrated Management of Data, Uncertainty, and Lineage
Teaching