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Saehan Jo
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2020 – today
- 2024
- [j6]Saehan Jo, Immanuel Trummer:
ThalamusDB: Approximate Query Processing on Multi-Modal Data. Proc. ACM Manag. Data 2(3): 186 (2024) - [i3]Saehan Jo, Immanuel Trummer:
SMART: Automatically Scaling Down Language Models with Accuracy Guarantees for Reduced Processing Fees. CoRR abs/2403.13835 (2024) - 2023
- [c8]Saehan Jo, Immanuel Trummer:
Demonstration of ThalamusDB: Answering Complex SQL Queries with Natural Language Predicates on Multi-Modal Data. SIGMOD Conference Companion 2023: 179-182 - 2022
- [c7]Tarique Siddiqui, Saehan Jo, Wentao Wu, Chi Wang, Vivek R. Narasayya, Surajit Chaudhuri:
ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning. SIGMOD Conference 2022: 660-673 - 2021
- [j5]Immanuel Trummer, Junxiong Wang, Ziyun Wei, Deepak Maram, Samuel Moseley, Saehan Jo, Joseph Antonakakis, Ankush Rayabhari:
SkinnerDB: Regret-bounded Query Evaluation via Reinforcement Learning. ACM Trans. Database Syst. 46(3): 9:1-9:45 (2021) - 2020
- [j4]Saehan Jo, Jialing Pei, Immanuel Trummer:
Demonstration of ScroogeDB: Getting More Bang For the Buck with Deterministic Approximation in the Cloud. Proc. VLDB Endow. 13(12): 2961-2964 (2020) - [c6]Saehan Jo, Immanuel Trummer:
BitGourmet: Deterministic Approximation via Optimized Bit Selection. CIDR 2020 - [c5]Saehan Jo, Immanuel Trummer:
Demonstration of BitGourmet: Data Analysis via Deterministic Approximation. SIGMOD Conference 2020: 2801-2804
2010 – 2019
- 2019
- [j3]Saehan Jo, Immanuel Trummer, Weicheng Yu, Xuezhi Wang, Cong Yu, Daniel Liu, Niyati Mehta:
AggChecker: A Fact-Checking System for Text Summaries of Relational Data Sets. Proc. VLDB Endow. 12(12): 1938-1941 (2019) - [j2]Georgios Karagiannis, Immanuel Trummer, Saehan Jo, Shubham Khandelwal, Xuezhi Wang, Cong Yu:
Mining an "Anti-Knowledge Base" from Wikipedia Updates with Applications to Fact Checking and Beyond. Proc. VLDB Endow. 13(4): 561-573 (2019) - [c4]Saehan Jo, Immanuel Trummer, Weicheng Yu, Xuezhi Wang, Cong Yu, Daniel Liu, Niyati Mehta:
Verifying Text Summaries of Relational Data Sets. SIGMOD Conference 2019: 299-316 - [c3]Immanuel Trummer, Junxiong Wang, Deepak Maram, Samuel Moseley, Saehan Jo, Joseph Antonakakis:
SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning. SIGMOD Conference 2019: 1153-1170 - [i2]Immanuel Trummer, Junxiong Wang, Deepak Maram, Samuel Moseley, Saehan Jo, Joseph Antonakakis:
SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning. CoRR abs/1901.05152 (2019) - 2018
- [j1]Immanuel Trummer, Samuel Moseley, Deepak Maram, Saehan Jo, Joseph Antonakakis:
SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning. Proc. VLDB Endow. 11(12): 2074-2077 (2018) - [c2]Saehan Jo, Jaemin Yoo, U Kang:
Fast and Scalable Distributed Loopy Belief Propagation on Real-World Graphs. WSDM 2018: 297-305 - [i1]Saehan Jo, Immanuel Trummer, Weicheng Yu, Daniel Liu, Niyati Mehta:
The FactChecker: Verifying Text Summaries of Relational Data Sets. CoRR abs/1804.07686 (2018) - 2017
- [c1]Jaemin Yoo, Saehan Jo, U Kang:
Supervised Belief Propagation: Scalable Supervised Inference on Attributed Networks. ICDM 2017: 595-604
Coauthor Index
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last updated on 2024-07-20 21:21 CEST by the dblp team
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