Saehan Jo

SkinnerDB

Immanuel Trummer, Junxiong Wang, Deepak Maram et al. · 2019 · 63 citations · Full text

Reliable Join, Join Order Benchmark, Engineering +15

SkinnerDB: Regret-bounded Query Evaluation via Reinforcement Learning

Immanuel Trummer, Junxiong Wang, Ziyun Wei et al. · ACM Transactions on Database Systems · 2021 · 45 citations · Full text

Artificial Intelligence, Reliable Join, Engineering +16

SkinnerDB

Immanuel Trummer, Samuel H. Moseley, Deepak Maram et al. · Proceedings of the VLDB Endowment · 2018 · 35 citations

Artificial Intelligence, Relational Queries, Engineering +12

ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning

Tarique Siddiqui, Saehan Jo, Wentao Wu et al. · Proceedings of the 2022 International Conference on Management of Data · 2022 · 23 citations

Engineering, Workload Compression Techniques, Big Data Indexing +23

Mining an "anti-knowledge base" from Wikipedia updates with applications to fact checking and beyond

Georgios Karagiannis, Immanuel Trummer, Saehan Jo et al. · Proceedings of the VLDB Endowment · 2019 · 20 citations

Engineering, Knowledge Extraction, Learning To Rank +18