Yongjoo Park

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 30

Top Topics

Approximate Query Processing

Maximum Likelihood

Top Venues

SIGMOD Conference

Proc. VLDB Endow.

Publications

Zhaoheng Li, Supawit Chockchowwat, Ribhav Sahu, Areet Sheth, Yongjoo Park
Kishu: Time-Traveling for Computational Notebooks. CoRR (2024)
Zhaoheng Li, Supawit Chockchowwat, Hanxi Fang, Ribhav Sahu, Sumay Thakurdesai, Kantanat Pridaphatrakun, Yongjoo Park
Demonstration of ElasticNotebook: Migrating Live Computational Notebook States. SIGMOD Conference Companion (2024)
Zhaoheng Li, Xinyu Pi, Yongjoo Park
S/C: Speeding up Data Materialization with Bounded Memory. CoRR (2023)
Supawit Chockchowwat, Zhaoheng Li, Yongjoo Park
Transactional Python for Durable Machine Learning: Vision, Challenges, and Feasibility. DEEM@SIGMOD (2023)
Zhaoheng Li, Pranav Gor, Rahul Prabhu, Hui Yu, Yuzhou Mao, Yongjoo Park
ElasticNotebook: Enabling Live Migration for Computational Notebooks (Technical Report). CoRR (2023)
Ipoom Jeong, Jiaqi Lou, Yongseok Son, Yongjoo Park, Yifan Yuan, Nam Sung Kim
LADIO: Leakage-Aware Direct I/O for I/O-Intensive Workloads. IEEE Comput. Archit. Lett. 22 (2) (2023)
Zhaoheng Li, Pranav Gor, Rahul Prabhu, Hui Yu, Yuzhou Mao, Yongjoo Park
ElasticNotebook: Enabling Live Migration for Computational Notebooks. Proc. VLDB Endow. 17 (2) (2023)
Supawit Chockchowwat, Wenjie Liu, Yongjoo Park
AirIndex: Versatile Index Tuning Through Data and Storage. CoRR (2023)
Supawit Chockchowwat, Zhaoheng Li, Yongjoo Park
Transactional Python for Durable Machine Learning: Vision, Challenges, and Feasibility. CoRR (2023)
Supawit Chockchowwat, Wenjie Liu, Yongjoo Park
AirIndex: Versatile Index Tuning Through Data and Storage. Proc. ACM Manag. Data 1 (3) (2023)
Nikhil Sheoran, Supawit Chockchowwat, Arav Chheda, Suwen Wang, Riya Verma, Yongjoo Park
A Step Toward Deep Online Aggregation (Extended Version). CoRR (2023)
Nikhil Sheoran, Supawit Chockchowwat, Arav Chheda, Suwen Wang, Riya Verma, Yongjoo Park
A Step Toward Deep Online Aggregation. Proc. ACM Manag. Data 1 (2) (2023)
Zhaoheng Li, Xinyu Pi, Yongjoo Park
S/C: Speeding up Data Materialization with Bounded Memory. ICDE (2023)
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
Making Data Clouds Smarter at Keebo: Automated Warehouse Optimization using Data Learning. SIGMOD Conference Companion (2023)
Supawit Chockchowwat, Wenjie Liu, Yongjoo Park
Automatically Finding Optimal Index Structure. CoRR (2022)
Supawit Chockchowwat, Chaitanya Sood, Yongjoo Park
Airphant: Cloud-oriented Document Indexing. ICDE (2022)
Sophia Yang, Yongjoo Park, Abdussalam Alawini
The Effects of Teaching Modality on Collaborative Learning: A Controlled Study. FIE (2022)
Supawit Chockchowwat, Chaitanya Sood, Yongjoo Park
Airphant: Cloud-oriented Document Indexing. CoRR (2021)
Johes Bater, Yongjoo Park, Xi He, Xiao Wang, Jennie Rogers
SAQE: Practical Privacy-Preserving Approximate Query Processing for Data Federations. Proc. VLDB Endow. 13 (11) (2020)
Yongjoo Park, Shucheng Zhong, Barzan Mozafari
QuickSel: Quick Selectivity Learning with Mixture Models. SIGMOD Conference (2020)
Yongjoo Park, Jingyi Qing, Xiaoyang Shen, Barzan Mozafari
BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees. SIGMOD Conference (2019)
Yongjoo Park, Jingyi Qing, Xiaoyang Shen, Barzan Mozafari
BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees. CoRR (2018)
Yongjoo Park, Barzan Mozafari, Joseph Sorenson, Junhao Wang
VerdictDB: Universalizing Approximate Query Processing. SIGMOD Conference (2018)
Yongjoo Park, Barzan Mozafari, Joseph Sorenson, Junhao Wang
VerdictDB: Universalizing Approximate Query Processing. CoRR (2018)
Yongjoo Park, Shucheng Zhong, Barzan Mozafari
QuickSel: Quick Selectivity Learning with Mixture Models. CoRR (2018)
Wen He, Yongjoo Park, Idris Hanafi, Jacob Yatvitskiy, Barzan Mozafari
Demonstration of VerdictDB, the Platform-Independent AQP System. SIGMOD Conference (2018)
Yongjoo Park, Ahmad Shahab Tajik, Michael J. Cafarella, Barzan Mozafari
Database Learning: Toward a Database that Becomes Smarter Every Time. CoRR (2017)
Yongjoo Park, Ahmad Shahab Tajik, Michael J. Cafarella, Barzan Mozafari
Database Learning: Toward a Database that Becomes Smarter Every Time. SIGMOD Conference (2017)
Yongjoo Park
Active Database Learning. CIDR (2017)
Yongjoo Park, Michael J. Cafarella, Barzan Mozafari
Visualization-aware sampling for very large databases. ICDE (2016)
Yongjoo Park, Michael J. Cafarella, Barzan Mozafari
Visualization-Aware Sampling for Very Large Databases. CoRR (2015)
Yongjoo Park, Michael J. Cafarella, Barzan Mozafari
Neighbor-Sensitive Hashing. Proc. VLDB Endow. 9 (3) (2015)
Michael R. Anderson, Dolan Antenucci, Victor Bittorf, Matthew Burgess, Michael J. Cafarella, Arun Kumar, Feng Niu, Yongjoo Park, Christopher Ré, Ce Zhang
Brainwash: A Data System for Feature Engineering. CIDR (2013)
Jacky Baltes, Yongjoo Park
Comparison of Several Machine Learning Techniques in Pursuit-Evasion Games. RoboCup (2001)