Entropy-Learned Hashing.
Brian Hentschel , Utku Sirin, and Stratos Idreos.
To appear in ACM International Conference on Management of Data (
SIGMOD), Philadelphia, Pennsylvania, 2022.
Stacked Filters: Learning to Filter by Structure
Kyle Deeds*,
Brian Hentschel*, Stratos Idreos.
International Conference on Very Large Databases (
VLDB), 2021.
[* denotes co-first authors].
MotherNets: Rapid Deep Ensemble Learning.
Abdul Wasay,
Brian Hentschel, Yuze Liao, Sanyuan Chen, and Stratos Idreos.
Conference on Machine Learning and Systems (
MLSys), 2020.
General Temporally-Biased Sampling for Online Model Management.
Brian Hentschel , Peter J. Haas, Yuanyuan Tian.
Transactions on Database Systems (
TODS), 2019.
Learning Data Structure Alchemy.
Stratos Idreos, Kostas Zoumpatianos, Subarna Chatterjee, Wilson Qin, Abdul Wasay,
Brian Hentschel, Mike Kester, Niv Dayan, Demi Guo, Minseo Kang, and Yiyou Sun
Bulletin of the IEEE Computer Society Technical Committee(
Data Engineering), 2019.
Temporally Biased Sampling for Online Model Management.
Brian Hentschel, Peter Haas, and Yuanyuan Tian.
International Conference on Extending Database Technology (
EDBT), 2018.
[Best Paper, ACM SIGMOD Research Highlight]
The Periodic Table of Data Structures.
Stratos Idreos, Konstantinos Zoumpatianos, Manos Athanassoulis, Niv Dayan,
Brian Hentschel, Michael S. Kester, Demi Guo, Lukas Maas, Wilson Qin, Abdul Wasay, and Yiyou Sun.
Bulletin of the IEEE Computer Society Technical Committee (
Data Engineering), 2018.
Column Sketches: A Scan Accelerator for Rapid and Robust Predicate Evaluation
Brian Hentschel, Michael Kester, and Stratos Idreos.
ACM International Conference on Management of Data (
SIGMOD), 2018.
The Data Calculator: Data Structure Design and Cost Synthesis From First Principles, and Learned Cost Models.
Stratos Idreos, Kostas Zoumpatianos,
Brian Hentschel, Michael Kester, and Demi Guo.
ACM International Conference on Management of Data (
SIGMOD), 2018.