Saehan Jo

Orcid: 0009-0001-3880-902X

According to our database1, Saehan Jo authored at least 16 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
ThalamusDB: Approximate Query Processing on Multi-Modal Data.
Proc. ACM Manag. Data, 2024

SMART: Automatically Scaling Down Language Models with Accuracy Guarantees for Reduced Processing Fees.
CoRR, 2024

2023
Demonstration of ThalamusDB: Answering Complex SQL Queries with Natural Language Predicates on Multi-Modal Data.
Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

2022
ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

2021
SkinnerDB: Regret-bounded Query Evaluation via Reinforcement Learning.
ACM Trans. Database Syst., 2021

2020
Demonstration of ScroogeDB: Getting More Bang For the Buck with Deterministic Approximation in the Cloud.
Proc. VLDB Endow., 2020

Demonstration of BitGourmet: Data Analysis via Deterministic Approximation.
Proceedings of the 2020 International Conference on Management of Data, 2020

BitGourmet: Deterministic Approximation via Optimized Bit Selection.
Proceedings of the 10th Conference on Innovative Data Systems Research, 2020

2019
Mining an "Anti-Knowledge Base" from Wikipedia Updates with Applications to Fact Checking and Beyond.
Proc. VLDB Endow., 2019

AggChecker: A Fact-Checking System for Text Summaries of Relational Data Sets.
Proc. VLDB Endow., 2019

SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning.
Proceedings of the 2019 International Conference on Management of Data, 2019

Verifying Text Summaries of Relational Data Sets.
Proceedings of the 2019 International Conference on Management of Data, 2019

2018
SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning.
Proc. VLDB Endow., 2018

The FactChecker: Verifying Text Summaries of Relational Data Sets.
CoRR, 2018

Fast and Scalable Distributed Loopy Belief Propagation on Real-World Graphs.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

2017
Supervised Belief Propagation: Scalable Supervised Inference on Attributed Networks.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017


  Loading...