Prati
Saehan Jo
Saehan Jo
Ph.D. Student in Computer Science, Cornell University
Potvrđena adresa e-pošte na cornell.edu
Naslov
Citirano
Citirano
Godina
Skinnerdb: Regret-bounded query evaluation via reinforcement learning
I Trummer, J Wang, Z Wei, D Maram, S Moseley, S Jo, J Antonakakis, ...
ACM Transactions on Database Systems (TODS) 46 (3), 1-45, 2021
552021
Skinnerdb: regret-bounded query evaluation via reinforcement learning
I Trummer, S Moseley, D Maram, S Jo, J Antonakakis
Proceedings of the VLDB Endowment 11 (12), 2074-2077, 2018
342018
Verifying text summaries of relational data sets
S Jo, I Trummer, W Yu, X Wang, C Yu, D Liu, N Mehta
Proceedings of the 2019 International Conference on Management of Data, 299-316, 2019
23*2019
Supervised belief propagation: Scalable supervised inference on attributed networks
J Yoo, S Jo, U Kang
2017 IEEE International Conference on Data Mining (ICDM), 595-604, 2017
162017
Mining an" anti-knowledge base" from Wikipedia updates with applications to fact checking and beyond
G Karagiannis, I Trummer, S Jo, S Khandelwal, X Wang, C Yu
Proceedings of the VLDB Endowment 13 (4), 561-573, 2019
142019
Fast and scalable distributed loopy belief propagation on real-world graphs
S Jo, J Yoo, U Kang
Proceedings of the Eleventh ACM International Conference on Web Search and …, 2018
112018
Aggchecker: A fact-checking system for text summaries of relational data sets
S Jo, I Trummer, W Yu, X Wang, C Yu, D Liu, N Mehta
Proceedings of the VLDB Endowment 12 (12), 1938-1941, 2019
72019
BitGourmet: Deterministic Approximation via Optimized Bit Selection
S Jo, I Trummer
The Conference on Innovative Data Systems Research (CIDR), 2020
22020
ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning
T Siddiqui, S Jo, W Wu, C Wang, V Narasayya, S Chaudhuri
Proceedings of the 2022 International Conference on Management of Data, 660-673, 2022
12022
ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning (Extended Version)
T Siddiqui, S Jo, W Wu, C Wang, V Narasayya, S Chaudhuri
2022
Demonstration of ScroogeDB: getting more bang for the buck with deterministic approximation in the cloud
S Jo, J Pei, I Trummer
Proceedings of the VLDB Endowment 13 (12), 2961-2964, 2020
2020
Demonstration of BitGourmet: Data Analysis via Deterministic Approximation
S Jo, I Trummer
Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020
2020
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