5 citations · 9 across the 8 of their papers we have counts for
8 papers
EasyTime: Time Series Forecasting Made Easy
Xiangfei Qiu, Xiuwen Li, Ruiyang Pang +11
Time series forecasting has important applications across diverse domains. EasyTime, the system we demonstrate, facilitates easy use of time-series forecasting methods by researche…
Fully Automated Correlated Time Series Forecasting in Minutes
Xinle Wu, Xingjian Wu, Dalin Zhang +4
Societal and industrial infrastructures and systems increasingly leverage sensors that emit correlated time series. Forecasting of future values of such time series based on record…
Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching--Extended Version
Hao Miao, Ziqiao Liu, Yan Zhao +4
The expanding instrumentation of processes throughout society with sensors yields a proliferation of time series data that may in turn enable important applications, e.g., related…
Efficient Stochastic Routing in Path-Centric Uncertain Road Networks -- Extended Version
Chenjuan Guo, Ronghui Xu, Bin Yang +4
The availability of massive vehicle trajectory data enables the modeling of road-network constrained movement as travel-cost distributions rather than just single-valued costs, the…
A Unified Replay-based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data
Hao Miao, Yan Zhao, Chenjuan Guo +5
The widespread deployment of wireless and mobile devices results in a proliferation of spatio-temporal data that is used in applications, e.g., traffic prediction, human mobility m…
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…