most citedUpdatable Learned Indexes Meet Disk-Resident DBMS -- From Evaluations to Design Choices

26 citations · 33 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DB20234 cited

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…

cs.DB202326 cited

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…

cs.CV2023

DuEqNet: Dual-Equivariance Network in Outdoor 3D Object Detection for Autonomous Driving

Xihao Wang, Jiaming Lei, Hai Lan +2

Outdoor 3D object detection has played an essential role in the environment perception of autonomous driving. In complicated traffic situations, precise object recognition provides…

cs.CV20211 cited

Learning Robust and Lightweight Model through Separable Structured Transformations

Xian Wei, Yanhui Huang, Yangyu Xu +5

With the proliferation of mobile devices and the Internet of Things, deep learning models are increasingly deployed on devices with limited computing resources and memory, and are…

cs.CV20212 cited

Couplformer:Rethinking Vision Transformer with Coupling Attention Map

Hai Lan, Xihao Wang, Xian Wei

With the development of the self-attention mechanism, the Transformer model has demonstrated its outstanding performance in the computer vision domain. However, the massive computa…