102 citations · 322 across the 78 of their papers we have counts for
4 papers · 1 filter
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…
Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles -- Extended Version
David Campos, Tung Kieu, Chenjuan Guo +4
With the sweeping digitalization of societal, medical, industrial, and scientific processes, sensing technologies are being deployed that produce increasing volumes of time series…
Unsupervised Path Representation Learning with Curriculum Negative Sampling
Sean Bin Yang, Chenjuan Guo, Jilin Hu +2
Path representations are critical in a variety of transportation applications, such as estimating path ranking in path recommendation systems and estimating path travel time in nav…
Graph Attention Recurrent Neural Networks for Correlated Time Series Forecasting -- Full version
Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang
We consider a setting where multiple entities inter-act with each other over time and the time-varying statuses of the entities are represented as multiple correlated time series.…