382 citations · 393 across the 4 of their papers we have counts for
4 papers
Infrared: A Meta Bug Detector
Chi Zhang, Yu Wang, Linzhang Wang
The recent breakthroughs in deep learning methods have sparked a wave of interest in learning-based bug detectors. Compared to the traditional static analysis tools, these bug dete…
Multi-agent Databases via Independent Learning
Chi Zhang, Olga Papaemmanouil, Josiah P. Hanna +1
Machine learning is rapidly being used in database research to improve the effectiveness of numerous tasks included but not limited to query optimization, workload scheduling, phys…
Buffer Pool Aware Query Scheduling via Deep Reinforcement Learning
Chi Zhang, Ryan Marcus, Anat Kleiman +1
In this extended abstract, we propose a new technique for query scheduling with the explicit goal of reducing disk reads and thus implicitly increasing query performance. We introd…
Neo: A Learned Query Optimizer
Ryan Marcus, Parimarjan Negi, Hongzi Mao +5
Query optimization is one of the most challenging problems in database systems. Despite the progress made over the past decades, query optimizers remain extremely complex component…