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06/05/2023
A Simple Yet High-Performing On-disk Learned Index: Can We Have Our Cake and Eat it Too?
While in-memory learned indexes have shown promising performance as comp...
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05/02/2023
Updatable Learned Indexes Meet Disk-Resident DBMS – From Evaluations to Design Choices
Although many updatable learned indexes have been proposed in recent yea...
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07/23/2022
Testing the Robustness of Learned Index Structures
While early empirical evidence has supported the case for learned index ...
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02/09/2022
Intelligent Autonomous Intersection Management
Connected Autonomous Vehicles will make autonomous intersection manageme...
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01/13/2022
Solving Dynamic Graph Problems with Multi-Attention Deep Reinforcement Learning
Graph problems such as traveling salesman problem, or finding minimal St...
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08/23/2021
No DBA? No regret! Multi-armed bandits for index tuning of analytical and HTAP workloads with provable guarantees
Automating physical database design has remained a long-term interest in...
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10/19/2020
DBA bandits: Self-driving index tuning under ad-hoc, analytical workloads with safety guarantees
Automating physical database design has remained a long-term interest in...
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07/20/2020
Energy Efficient Computing Systems: Architectures, Abstractions and Modeling to Techniques and Standards
Computing systems have undergone several inflexion points - while Moore'...
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10/14/2019
Dynamic Graph Configuration with Reinforcement Learning for Connected Autonomous Vehicle Trajectories
Traditional traffic optimization solutions assume that the graph structu...
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07/03/2019
GeoPrune: Efficiently Matching Trips in Ride-sharing Through Geometric Properties
On-demand ride-sharing is rapidly growing.Matching trip requests to vehi...
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07/03/2019
GeoPrune: Efficiently Finding Shareable Vehicles Based on Geometric Properties
On-demand ride-sharing is rapidly growing due to its benefits of conveni...
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02/20/2019
