Skyline: Interactive In-Editor Computational Performance Profiling for Deep Neural Network Training. - Geoffrey X. Yu; Tovi Grossman; Gennady Pekhimenko (UIST, 2020)

Habitat: A Runtime-Based Computational Performance Predictor for Deep Neural Network Training. - Geoffrey X. Yu; Yubo Gao; Pavel Golikov; Gennady Pekhimenko (USENIX ATC, 2021)

Computational Performance Predictions for Deep Neural Network Training: A Runtime-Based Approach. - Geoffrey X. Yu; Yubo Gao; Pavel Golikov; Gennady Pekhimenko (CoRR, 2021)

TreeLine: An Update-In-Place Key-Value Store for Modern Storage. - Geoffrey X. Yu; Markos Markakis; Andreas Kipf; Per-Åke Larson; Umar Farooq Minhas; Tim Kraska (Proc. VLDB Endow., 2022)

Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes. - Tim Kraska; Tianyu Li 001; Samuel Madden 001; Markos Markakis; Amadou Ngom; Ziniu Wu; Geoffrey X. Yu (Proc. VLDB Endow., 2023)

Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD - Extended Version. - Geoffrey X. Yu; Ziniu Wu; Ferdi Kossmann; Tianyu Li 001; Markos Markakis; Amadou Ngom; Samuel Madden 001; Tim Kraska (CoRR, 2024)

Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD. - Geoffrey X. Yu; Ziniu Wu; Ferdinand Kossmann; Tianyu Li 001; Markos Markakis; Amadou Latyr Ngom; Samuel Madden 001; Tim Kraska (Proc. VLDB Endow., 2024)

Virtualizing Cloud Data Infrastructures with BRAD. - Geoffrey X. Yu; Ziniu Wu; Ferdi Kossmann; Tianyu Li 001; Markos Markakis; Amadou Ngom; Sophie Zhang; Tim Kraska; Samuel Madden 001 (SIGMOD Conference Companion, 2025)