Saehan Jo

18 papers A* 1A 2Journal 10Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
SpareLLM: Automatically Selecting Task-Specific Minimum-Cost Large Language Models under Equivalence Constraint.
Proc. ACM Manag. Data
Saehan Jo, Immanuel Trummer
2024 J jnl
SMART: Automatically Scaling Down Language Models with Accuracy Guarantees for Reduced Processing Fees.
CoRR
Saehan Jo, Immanuel Trummer
2024 J jnl
ThalamusDB: Approximate Query Processing on Multi-Modal Data.
Proc. ACM Manag. Data
Saehan Jo, Immanuel Trummer
2023 — conf
Demonstration of ThalamusDB: Answering Complex SQL Queries with Natural Language Predicates on Multi-Modal Data.
SIGMOD Conference Companion
Saehan Jo, Immanuel Trummer
2022 — conf
ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning.
SIGMOD Conference
Tarique Siddiqui, Saehan Jo, Wentao Wu, Chi Wang, Vivek R. Narasayya, Surajit Chaudhuri
2021 J jnl
SkinnerDB: Regret-bounded Query Evaluation via Reinforcement Learning.
ACM Trans. Database Syst.
Immanuel Trummer, Junxiong Wang, Ziyun Wei, Deepak Maram, Samuel Moseley, Saehan Jo, Joseph Antonakakis, Ankush Rayabhari
2020 A conf
BitGourmet: Deterministic Approximation via Optimized Bit Selection.
CIDR
Saehan Jo, Immanuel Trummer
2020 — conf
Demonstration of BitGourmet: Data Analysis via Deterministic Approximation.
SIGMOD Conference
Saehan Jo, Immanuel Trummer
2020 J jnl
Demonstration of ScroogeDB: Getting More Bang For the Buck with Deterministic Approximation in the Cloud.
Proc. VLDB Endow.
Saehan Jo, Jialing Pei, Immanuel Trummer
2019 J jnl
AggChecker: A Fact-Checking System for Text Summaries of Relational Data Sets.
Proc. VLDB Endow.
Saehan Jo, Immanuel Trummer, Weicheng Yu, Xuezhi Wang, Cong Yu, Daniel Liu, Niyati Mehta
2019 J jnl
Mining an "Anti-Knowledge Base" from Wikipedia Updates with Applications to Fact Checking and Beyond.
Proc. VLDB Endow.
Georgios Karagiannis, Immanuel Trummer, Saehan Jo, Shubham Khandelwal, Xuezhi Wang, Cong Yu
2019 — conf
SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning.
SIGMOD Conference
Immanuel Trummer, Junxiong Wang, Deepak Maram, Samuel Moseley, Saehan Jo, Joseph Antonakakis
2019 J jnl
SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning.
CoRR
Immanuel Trummer, Junxiong Wang, Deepak Maram, Samuel Moseley, Saehan Jo, Joseph Antonakakis
2019 — conf
Verifying Text Summaries of Relational Data Sets.
SIGMOD Conference
Saehan Jo, Immanuel Trummer, Weicheng Yu, Xuezhi Wang, Cong Yu, Daniel Liu, Niyati Mehta
2018 A conf
Fast and Scalable Distributed Loopy Belief Propagation on Real-World Graphs.
WSDM
Saehan Jo, Jaemin Yoo, U Kang
2018 J jnl
SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning.
Proc. VLDB Endow.
Immanuel Trummer, Samuel Moseley, Deepak Maram, Saehan Jo, Joseph Antonakakis
2018 J jnl
The FactChecker: Verifying Text Summaries of Relational Data Sets.
CoRR
Saehan Jo, Immanuel Trummer, Weicheng Yu, Daniel Liu, Niyati Mehta
2017 A* conf
Supervised Belief Propagation: Scalable Supervised Inference on Attributed Networks.
ICDM
Jaemin Yoo, Saehan Jo, U Kang