Saehan Jo

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 17

Top Topics

Belief Propagation

Approximate Query Processing

Relational Data

Top Venues

Proc. VLDB Endow.

SIGMOD Conference

Proc. ACM Manag. Data

Publications

Saehan Jo, Immanuel Trummer
ThalamusDB: Approximate Query Processing on Multi-Modal Data. Proc. ACM Manag. Data 2 (3) (2024)
Saehan Jo, Immanuel Trummer
SMART: Automatically Scaling Down Language Models with Accuracy Guarantees for Reduced Processing Fees. CoRR (2024)
Saehan Jo, Immanuel Trummer
Demonstration of ThalamusDB: Answering Complex SQL Queries with Natural Language Predicates on Multi-Modal Data. SIGMOD Conference Companion (2023)
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)
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) (2021)
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) (2020)
Saehan Jo, Immanuel Trummer
BitGourmet: Deterministic Approximation via Optimized Bit Selection. CIDR (2020)
Saehan Jo, Immanuel Trummer
Demonstration of BitGourmet: Data Analysis via Deterministic Approximation. SIGMOD Conference (2020)
Saehan Jo, Immanuel Trummer, Weicheng Yu, Xuezhi Wang, Cong Yu, Daniel Liu, Niyati Mehta
Verifying Text Summaries of Relational Data Sets. SIGMOD Conference (2019)
Immanuel Trummer, Junxiong Wang, Deepak Maram, Samuel Moseley, Saehan Jo, Joseph Antonakakis
SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning. SIGMOD Conference (2019)
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) (2019)
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) (2019)
Immanuel Trummer, Junxiong Wang, Deepak Maram, Samuel Moseley, Saehan Jo, Joseph Antonakakis
SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning. CoRR (2019)
Saehan Jo, Immanuel Trummer, Weicheng Yu, Daniel Liu, Niyati Mehta
The FactChecker: Verifying Text Summaries of Relational Data Sets. CoRR (2018)
Saehan Jo, Jaemin Yoo, U Kang
Fast and Scalable Distributed Loopy Belief Propagation on Real-World Graphs. WSDM (2018)
Immanuel Trummer, Samuel Moseley, Deepak Maram, Saehan Jo, Joseph Antonakakis
SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning. Proc. VLDB Endow. 11 (12) (2018)
Jaemin Yoo, Saehan Jo, U Kang
Supervised Belief Propagation: Scalable Supervised Inference on Attributed Networks. ICDM (2017)