1. Learning deep representation from big and heterogeneous data for traffic accident inference;Chen,2016
2. Understanding the interdependency of land use and mobility for urban planning;Jayarajah,2018
3. Deep spatio-temporal residual networks for citywide crowd flows prediction;Zhang,2017
4. Fccf: Forecasting citywide crowd flows based on big data;Hoang,2016
5. Dnn-based prediction model for spatio-temporal data;Zhang,2016