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2020 – today
- 2024
[c15]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: 540-543- [i13]Zhaoheng Li, Supawit Chockchowwat, Ribhav Sahu, Areet Sheth, Yongjoo Park:
Kishu: Time-Traveling for Computational Notebooks. CoRR abs/2406.13856 (2024) - 2023
- [j6]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): 77-80 (2023) - [j5]Nikhil Sheoran, Supawit Chockchowwat, Arav Chheda, Suwen Wang, Riya Verma, Yongjoo Park:
A Step Toward Deep Online Aggregation. Proc. ACM Manag. Data 1(2): 124:1-124:28 (2023) - [j4]Supawit Chockchowwat, Wenjie Liu, Yongjoo Park:
AirIndex: Versatile Index Tuning Through Data and Storage. Proc. ACM Manag. Data 1(3): 204:1-204:26 (2023) - [j3]Zhaoheng Li, Pranav Gor, Rahul Prabhu, Hui Yu, Yuzhou Mao, Yongjoo Park:
ElasticNotebook: Enabling Live Migration for Computational Notebooks. Proc. VLDB Endow. 17(2): 119-133 (2023) - [c14]Supawit Chockchowwat, Zhaoheng Li, Yongjoo Park:
Transactional Python for Durable Machine Learning: Vision, Challenges, and Feasibility. DEEM@SIGMOD 2023: 5:1-5:5 - [c13]Zhaoheng Li, Xinyu Pi, Yongjoo Park:
S/C: Speeding up Data Materialization with Bounded Memory. ICDE 2023: 1981-1994 - [c12]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: 239-251 - [i12]Nikhil Sheoran, Supawit Chockchowwat, Arav Chheda, Suwen Wang, Riya Verma, Yongjoo Park:
A Step Toward Deep Online Aggregation (Extended Version). CoRR abs/2303.04103 (2023) - [i11]Zhaoheng Li, Xinyu Pi, Yongjoo Park:
S/C: Speeding up Data Materialization with Bounded Memory. CoRR abs/2303.09774 (2023) - [i10]Supawit Chockchowwat, Zhaoheng Li, Yongjoo Park:
Transactional Python for Durable Machine Learning: Vision, Challenges, and Feasibility. CoRR abs/2305.08770 (2023) - [i9]Supawit Chockchowwat, Wenjie Liu, Yongjoo Park:
AirIndex: Versatile Index Tuning Through Data and Storage. CoRR abs/2306.14395 (2023) - [i8]Zhaoheng Li, Pranav Gor, Rahul Prabhu, Hui Yu, Yuzhou Mao, Yongjoo Park:
ElasticNotebook: Enabling Live Migration for Computational Notebooks (Technical Report). CoRR abs/2309.11083 (2023) - 2022
- [c11]Sophia Yang, Yongjoo Park, Abdussalam Alawini:
The Effects of Teaching Modality on Collaborative Learning: A Controlled Study. FIE 2022: 1-9 - [c10]Supawit Chockchowwat, Chaitanya Sood, Yongjoo Park:
Airphant: Cloud-oriented Document Indexing. ICDE 2022: 1368-1381 - [i7]Supawit Chockchowwat, Wenjie Liu, Yongjoo Park:
Automatically Finding Optimal Index Structure. CoRR abs/2208.03823 (2022) - 2021
- [i6]Supawit Chockchowwat, Chaitanya Sood, Yongjoo Park:
Airphant: Cloud-oriented Document Indexing. CoRR abs/2112.13323 (2021) - 2020
- [j2]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): 2691-2705 (2020) - [c9]Yongjoo Park, Shucheng Zhong, Barzan Mozafari:
QuickSel: Quick Selectivity Learning with Mixture Models. SIGMOD Conference 2020: 1017-1033
2010 – 2019
- 2019
- [c8]Yongjoo Park, Jingyi Qing, Xiaoyang Shen, Barzan Mozafari:
BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees. SIGMOD Conference 2019: 1135-1152 - 2018
- [c7]Yongjoo Park, Barzan Mozafari, Joseph Sorenson, Junhao Wang:
VerdictDB: Universalizing Approximate Query Processing. SIGMOD Conference 2018: 1461-1476 - [c6]Wen He, Yongjoo Park, Idris Hanafi, Jacob Yatvitskiy, Barzan Mozafari:
Demonstration of VerdictDB, the Platform-Independent AQP System. SIGMOD Conference 2018: 1665-1668 - [i5]Yongjoo Park, Barzan Mozafari, Joseph Sorenson, Junhao Wang:
VerdictDB: Universalizing Approximate Query Processing. CoRR abs/1804.00770 (2018) - [i4]Yongjoo Park, Jingyi Qing, Xiaoyang Shen, Barzan Mozafari:
BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees. CoRR abs/1812.10564 (2018) - [i3]Yongjoo Park, Shucheng Zhong, Barzan Mozafari:
QuickSel: Quick Selectivity Learning with Mixture Models. CoRR abs/1812.10568 (2018) - 2017
- [b1]Yongjoo Park:
Fast Data Analytics by Learning. University of Michigan, USA, 2017 - [c5]Yongjoo Park:
Active Database Learning. CIDR 2017 - [c4]Yongjoo Park, Ahmad Shahab Tajik, Michael J. Cafarella, Barzan Mozafari:
Database Learning: Toward a Database that Becomes Smarter Every Time. SIGMOD Conference 2017: 587-602 - [i2]Yongjoo Park, Ahmad Shahab Tajik, Michael J. Cafarella, Barzan Mozafari:
Database Learning: Toward a Database that Becomes Smarter Every Time. CoRR abs/1703.05468 (2017) - 2016
- [c3]Yongjoo Park, Michael J. Cafarella, Barzan Mozafari:
Visualization-aware sampling for very large databases. ICDE 2016: 755-766 - 2015
- [j1]Yongjoo Park, Michael J. Cafarella, Barzan Mozafari:
Neighbor-Sensitive Hashing. Proc. VLDB Endow. 9(3): 144-155 (2015) - [i1]Yongjoo Park, Michael J. Cafarella, Barzan Mozafari:
Visualization-Aware Sampling for Very Large Databases. CoRR abs/1510.03921 (2015) - 2013
- [c2]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
2000 – 2009
- 2001
- [c1]Jacky Baltes, Yongjoo Park:
Comparison of Several Machine Learning Techniques in Pursuit-Evasion Games. RoboCup 2001: 269-274
Coauthor Index
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