6 citations · 7 across the 7 of their papers we have counts for
4 papers · 1 filter
Learning Granger Causality under Latent Confounding via Intervention-Induced Heterogeneity
Ziyi Zhang, Shaogang Ren, Xiaoning Qian +1
Granger causality characterizes directed predictive dependencies in multivariate time series, but recovering such dependencies becomes challenging in the presence of latent confoun…
MuST2-Learn: Multi-view Spatial-Temporal-Type Learning for Heterogeneous Municipal Service Time Estimation
Nadia Asif, Zhiqing Hong, Shaogang Ren +3
Non-emergency municipal services such as city 311 systems have been widely implemented across cities in Canada and the United States to enhance residents' quality of life. These sy…
Learning Flexible Time-windowed Granger Causality Integrating Heterogeneous Interventional Time Series Data
Ziyi Zhang, Shaogang Ren, Xiaoning Qian +1
Granger causality, commonly used for inferring causal structures from time series data, has been adopted in widespread applications across various fields due to its intuitive expla…
Towards Invariant Time Series Forecasting in Smart Cities
Ziyi Zhang, Shaogang Ren, Xiaoning Qian +1
In the transformative landscape of smart cities, the integration of the cutting-edge web technologies into time series forecasting presents a pivotal opportunity to enhance urban p…