206 citations · 303 across the 4 of their papers we have counts for
4 papers
Predicting Citywide Crowd Flows Using Deep Spatio-Temporal Residual Networks
Junbo Zhang, Yu Zheng, Dekang Qi +3
Forecasting the flow of crowds is of great importance to traffic management and public safety, and very challenging as it is affected by many complex factors, including spatial dep…
Predicting Urban Water Quality with Ubiquitous Data
Ye Liu, Yuxuan Liang, Shuming Liu +2
Urban water quality is of great importance to our daily lives. Prediction of urban water quality help control water pollution and protect human health. However, predicting the urba…
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction
Junbo Zhang, Yu Zheng, Dekang Qi
Forecasting the flow of crowds is of great importance to traffic management and public safety, yet a very challenging task affected by many complex factors, such as inter-region tr…
Inferring Taxi Status Using GPS Trajectories
Yin Zhu, Yu Zheng, Liuhang Zhang +3
In this paper, we infer the statuses of a taxi, consisting of occupied, non-occupied and parked, in terms of its GPS trajectory. The status information can enable urban computing f…