Yongjoo Park

According to our database, Yongjoo Park authored at least 24 papers between 2001 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

AirIndex: Versatile Index Tuning Through Data and Storage.

Supawit Chockchowwat, Wenjie Liu, Yongjoo Park

Proc. ACM Manag. Data, September, 2023

ElasticNotebook: Enabling Live Migration for Computational Notebooks.

Zhaoheng Li, Pranav Gor, Rahul Prabhu, Hui Yu, Yuzhou Mao, Yongjoo Park

Proc. VLDB Endow., 2023

A Step Toward Deep Online Aggregation.

Nikhil Sheoran, Supawit Chockchowwat, Arav Chheda, Suwen Wang, Riya Verma, Yongjoo Park

Proc. ACM Manag. Data, 2023

ElasticNotebook: Enabling Live Migration for Computational Notebooks (Technical Report).

Zhaoheng Li, Pranav Gor, Rahul Prabhu, Hui Yu, Yuzhou Mao, Yongjoo Park

CoRR, 2023

A Step Toward Deep Online Aggregation (Extended Version).

Nikhil Sheoran, Supawit Chockchowwat, Arav Chheda, Suwen Wang, Riya Verma, Yongjoo Park

CoRR, 2023

LADIO: Leakage-Aware Direct I/O for I/O-Intensive Workloads.

Ipoom Jeong, Jiaqi Lou, Yongseok Son, Yongjoo Park, Yifan Yuan, Nam Sung Kim

IEEE Comput. Archit. Lett., 2023

Making Data Clouds Smarter at Keebo: Automated Warehouse Optimization using Data Learning.

Barzan Mozafari, Radu Alexandru Burcuta, Alan Cabrera, Andrei Constantin, Derek Francis, David Grömling, Alekh Jindal, Maciej Konkolowicz, Valentin Marian Spac, Yongjoo Park, Russell Razo Carranzo, Nicholas Richardson, Abhishek Roy, Aayushi Srivastava, Isha Tarte, Brian Westphal, Chi Zhang

Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

S/C: Speeding up Data Materialization with Bounded Memory.

Zhaoheng Li, Xinyu Pi, Yongjoo Park

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Transactional Python for Durable Machine Learning: Vision, Challenges, and Feasibility.

Supawit Chockchowwat, Zhaoheng Li, Yongjoo Park

Proceedings of the Seventh Workshop on Data Management for End-to-End Machine Learning, 2023

2022

Automatically Finding Optimal Index Structure.

Supawit Chockchowwat, Wenjie Liu, Yongjoo Park

CoRR, 2022

Airphant: Cloud-oriented Document Indexing.

Supawit Chockchowwat, Chaitanya Sood, Yongjoo Park

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

The Effects of Teaching Modality on Collaborative Learning: A Controlled Study.

Sophia Yang, Yongjoo Park, Abdussalam Alawini

Proceedings of the IEEE Frontiers in Education Conference, 2022

2020

SAQE: Practical Privacy-Preserving Approximate Query Processing for Data Federations.

Johes Bater, Yongjoo Park, Xi He, Xiao Wang, Jennie Rogers

Proc. VLDB Endow., 2020

QuickSel: Quick Selectivity Learning with Mixture Models.

Yongjoo Park, Shucheng Zhong, Barzan Mozafari

Proceedings of the 2020 International Conference on Management of Data, 2020

2019

BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees.

Yongjoo Park, Jingyi Qing, Xiaoyang Shen, Barzan Mozafari

Proceedings of the 2019 International Conference on Management of Data, 2019

2018

VerdictDB: Universalizing Approximate Query Processing.

Yongjoo Park, Barzan Mozafari, Joseph Sorenson, Junhao Wang

Proceedings of the 2018 International Conference on Management of Data, 2018

Demonstration of VerdictDB, the Platform-Independent AQP System.

Wen He, Yongjoo Park, Idris Hanafi, Jacob Yatvitskiy, Barzan Mozafari

Proceedings of the 2018 International Conference on Management of Data, 2018

2017

Fast Data Analytics by Learning.

Yongjoo Park

PhD thesis, 2017

Database Learning: Toward a Database that Becomes Smarter Every Time.

Yongjoo Park, Ahmad Shahab Tajik, Michael J. Cafarella, Barzan Mozafari

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Active Database Learning.

Yongjoo Park

Proceedings of the 8th Biennial Conference on Innovative Data Systems Research, 2017

2016

Visualization-aware sampling for very large databases.

Yongjoo Park, Michael J. Cafarella, Barzan Mozafari

Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

2015

Neighbor-Sensitive Hashing.

Yongjoo Park, Michael J. Cafarella, Barzan Mozafari

Proc. VLDB Endow., 2015

2013

Brainwash: A Data System for Feature Engineering.

Michael R. Anderson, Dolan Antenucci, Victor Bittorf, Matthew Burgess, Michael J. Cafarella, Arun Kumar, Feng Niu, Yongjoo Park, Christopher Ré, Ce Zhang

Proceedings of the Sixth Biennial Conference on Innovative Data Systems Research, 2013

2001

Comparison of Several Machine Learning Techniques in Pursuit-Evasion Games.

Jacky Baltes, Yongjoo Park

Proceedings of the RoboCup 2001: Robot Soccer World Cup V, 2001