26 citations · 41 across the 5 of their papers we have counts for
5 papers
Semantic-Enhanced Representation Learning for Road Networks with Temporal Dynamics
Yile Chen, Xiucheng Li, Gao Cong +2
In this study, we introduce a novel framework called Toast for learning general-purpose representations of road networks, along with its advanced counterpart DyToast, designed to e…
Towards Data-centric Graph Machine Learning: Review and Outlook
Xin Zheng, Yixin Liu, Zhifeng Bao +4
Data-centric AI, with its primary focus on the collection, management, and utilization of data to drive AI models and applications, has attracted increasing attention in recent yea…
A Simple Yet High-Performing On-disk Learned Index: Can We Have Our Cake and Eat it Too?
Hai Lan, Zhifeng Bao, J. Shane Culpepper +2
While in-memory learned indexes have shown promising performance as compared to B+-tree, most widely used databases in real applications still rely on disk-based operations. Based…
Updatable Learned Indexes Meet Disk-Resident DBMS -- From Evaluations to Design Choices
Hai Lan, Zhifeng Bao, J. Shane Culpepper +1
Although many updatable learned indexes have been proposed in recent years, whether they can outperform traditional approaches on disk remains unknown. In this study, we revisit an…
Monitoring the Top-m Aggregation in a Sliding Window of Spatial Queries
Farhana M. Choudhury, Zhifeng Bao, J. Shane Culpepper +1
In this paper, we propose and study the problem of top-m rank aggregation of spatial objects in streaming queries, where, given a set of objects O, a stream of spatial queries (kNN…