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Geoffrey X. Yu
Publication Activity (10 Years)
Years Active: 2020-2023
Publications (10 Years): 6
Top Topics
Missing Data
Neural Network Training
Data Processing
Training Algorithm
Top Venues
Proc. VLDB Endow.
CoRR
USENIX Annual Technical Conference
UIST
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Publications
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Tim Kraska
,
Tianyu Li
,
Samuel Madden
,
Markos Markakis
,
Amadou Ngom
,
Ziniu Wu
,
Geoffrey X. Yu
Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes.
Proc. VLDB Endow.
16 (11) (2023)
Geoffrey X. Yu
,
Markos Markakis
,
Andreas Kipf
,
Per-Åke Larson
,
Umar Farooq Minhas
,
Tim Kraska
TreeLine: An Update-In-Place Key-Value Store for Modern Storage.
Proc. VLDB Endow.
16 (1) (2022)
Geoffrey X. Yu
,
Yubo Gao
,
Pavel Golikov
,
Gennady Pekhimenko
Computational Performance Predictions for Deep Neural Network Training: A Runtime-Based Approach.
CoRR
(2021)
Geoffrey X. Yu
,
Yubo Gao
,
Pavel Golikov
,
Gennady Pekhimenko
Habitat: A Runtime-Based Computational Performance Predictor for Deep Neural Network Training.
USENIX Annual Technical Conference
(2021)
Geoffrey X. Yu
,
Tovi Grossman
,
Gennady Pekhimenko
Skyline: Interactive In-Editor Computational Performance Profiling for Deep Neural Network Training.
CoRR
(2020)
Geoffrey X. Yu
,
Tovi Grossman
,
Gennady Pekhimenko
Skyline: Interactive In-Editor Computational Performance Profiling for Deep Neural Network Training.
UIST
(2020)