7 citations · 12 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 5 cited
LightCTS: A Lightweight Framework for Correlated Time Series Forecasting
Zhichen Lai, Dalin Zhang, Huan Li +3
Correlated time series (CTS) forecasting plays an essential role in many practical applications, such as traffic management and server load control. Many deep learning models have…
cs.LG2022★ 7 cited
Uncertainty Quantification for Traffic Forecasting: A Unified Approach
Weizhu Qian, Dalin Zhang, Yan Zhao +2
Uncertainty is an essential consideration for time series forecasting tasks. In this work, we specifically focus on quantifying the uncertainty of traffic forecasting. To achieve t…
cs.LG2021
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…