Saehan Jo

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Demonstration of ScroogeDB: Getting More Bang For the Buck with Deterministic Approximation in the Cloud.

Saehan Jo, Jialing Pei, Immanuel Trummer

Proc. VLDB Endow., 2020

Demonstration of BitGourmet: Data Analysis via Deterministic Approximation.

Saehan Jo, Immanuel Trummer

Proceedings of the 2020 International Conference on Management of Data, 2020

BitGourmet: Deterministic Approximation via Optimized Bit Selection.

Saehan Jo, Immanuel Trummer

Proceedings of the CIDR 2020, 2020

2019

Mining an "Anti-Knowledge Base" from Wikipedia Updates with Applications to Fact Checking and Beyond.

Georgios Karagiannis, Immanuel Trummer, Saehan Jo, Shubham Khandelwal, Xuezhi Wang, Cong Yu

Proc. VLDB Endow., 2019

AggChecker: A Fact-Checking System for Text Summaries of Relational Data Sets.

Saehan Jo, Immanuel Trummer, Weicheng Yu, Xuezhi Wang, Cong Yu, Daniel Liu, Niyati Mehta

Proc. VLDB Endow., 2019

SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning.

Immanuel Trummer, Junxiong Wang, Deepak Maram, Samuel Moseley, Saehan Jo, Joseph Antonakakis

Proceedings of the 2019 International Conference on Management of Data, 2019

Verifying Text Summaries of Relational Data Sets.

Saehan Jo, Immanuel Trummer, Weicheng Yu, Xuezhi Wang, Cong Yu, Daniel Liu, Niyati Mehta

Proceedings of the 2019 International Conference on Management of Data, 2019

2018

SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning.

Immanuel Trummer, Samuel Moseley, Deepak Maram, Saehan Jo, Joseph Antonakakis

Proc. VLDB Endow., 2018

The FactChecker: Verifying Text Summaries of Relational Data Sets.

Saehan Jo, Immanuel Trummer, Weicheng Yu, Daniel Liu, Niyati Mehta

CoRR, 2018

Fast and Scalable Distributed Loopy Belief Propagation on Real-World Graphs.

Saehan Jo, Jaemin Yoo, U Kang

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

2017

Supervised Belief Propagation: Scalable Supervised Inference on Attributed Networks.

Jaemin Yoo, Saehan Jo, U Kang

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017