5 citations · 13 across the 19 of their papers we have counts for
5 papers · 1 filter
LightPath: Lightweight and Scalable Path Representation Learning
Sean Bin Yang, Jilin Hu, Chenjuan Guo +2
Movement paths are used widely in intelligent transportation and smart city applications. To serve such applications, path representation learning aims to provide compact represent…
A Crystal-Specific Pre-Training Framework for Crystal Material Property Prediction
Haomin Yu, Yanru Song, Jilin Hu +2
Crystal property prediction is a crucial aspect of developing novel materials. However, there are two technical challenges to be addressed for speeding up the investigation of crys…
Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey
Dalin Zhang, Kaixuan Chen, Yan Zhao +3
Deep learning technologies have demonstrated remarkable effectiveness in a wide range of tasks, and deep learning holds the potential to advance a multitude of applications, includ…
Conditional Variable Selection for Intelligent Test
Yiwen Liao, Tianjie Ge, Raphaël Latty +1
Intelligent test requires efficient and effective analysis of high-dimensional data in a large scale. Traditionally, the analysis is often conducted by human experts, but it is not…
AutoCTS: Automated Correlated Time Series Forecasting -- Extended Version
Xinle Wu, Dalin Zhang, Chenjuan Guo +3
Correlated time series (CTS) forecasting plays an essential role in many cyber-physical systems, where multiple sensors emit time series that capture interconnected processes. Solu…