Saehan Jo

According to our database1, Saehan Jo authored at least 11 papers between 2017 and 2020.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

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 CIDR 2020, 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


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