11 citations · 11 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Distribution-aware Online Continual Learning for Urban Spatio-Temporal Forecasting
Chengxin Wang, Gary Tan, Swagato Barman Roy +1
Urban spatio-temporal (ST) forecasting is crucial for various urban applications such as intelligent scheduling and trip planning. Previous studies focus on modeling ST correlation…
cs.LG2021★ 11 cited
Periodic Residual Learning for Crowd Flow Forecasting
Chengxin Wang, Yuxuan Liang, Gary Tan
Crowd flow forecasting, which aims to predict the crowds entering or leaving certain regions, is a fundamental task in smart cities. One of the key properties of crowd flow data is…