research
∙
05/01/2023
An Update-intensive LSM-based R-tree Index
Many applications require update-intensive workloads on spatial objects,...
share
research
∙
03/06/2023
SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning
Subgraph-based graph representation learning (SGRL) has recently emerged...
research
∙
07/07/2022
The Case for Distributed Shared-Memory Databases with RDMA-Enabled Memory Disaggregation
Memory disaggregation (MD) allows for scalable and elastic data center d...
research
∙
07/01/2022
The "AI+R"-tree: An Instance-optimized R-tree
The emerging class of instance-optimized systems has shown potential to ...
research
∙
06/20/2022
ILX: Intelligent "Location+X" Data Systems (Vision Paper)
Due to the ubiquity of mobile phones and location-detection devices, loc...
research
∙
02/28/2022
Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning
Subgraph-based graph representation learning (SGRL) has been recently pr...
research
∙
12/25/2021
An Experimental Evaluation and Investigation of Waves of Misery in R-trees
Waves of misery is a phenomenon where spikes of many node splits occur o...
research
∙
05/31/2021
Deep learning for prediction of hepatocellular carcinoma recurrence after resection or liver transplantation: a discovery and validation study
This study aimed to develop a classifier of prognosis after resection or...
research
∙
07/21/2020
Balance Scene Learning Mechanism for Offshore and Inshore Ship Detection in SAR Images
This letter proposes a novel Balance Scene Learning Mechanism (BSLM) for...
research
∙
12/18/2018
Index-based, High-dimensional, Cosine Threshold Querying with Optimality Guarantees
Given a database of vectors, a cosine threshold query returns all vector...
research
∙
04/20/2016