19 citations · 42 across the 4 of their papers we have counts for
4 papers
CityNet: A Comprehensive Multi-Modal Urban Dataset for Advanced Research in Urban Computing
Zhengfei Zheng, Xu Geng, Hai Yang
Data-driven approaches have emerged as a popular tool for addressing challenges in urban computing. However, current research efforts have primarily focused on limited data sources…
Multi-Modal Graph Interaction for Multi-Graph Convolution Network in Urban Spatiotemporal Forecasting
Lingyu Zhang, Xu Geng, Zhiwei Qin +7
Graph convolution network based approaches have been recently used to model region-wise relationships in region-level prediction problems in urban computing. Each relationship repr…
Cross-City Transfer Learning for Deep Spatio-Temporal Prediction
Leye Wang, Xu Geng, Xiaojuan Ma +2
Spatio-temporal prediction is a key type of tasks in urban computing, e.g., traffic flow and air quality. Adequate data is usually a prerequisite, especially when deep learning is…
Ridesourcing Car Detection by Transfer Learning
Leye Wang, Xu Geng, Jintao Ke +4
Ridesourcing platforms like Uber and Didi are getting more and more popular around the world. However, unauthorized ridesourcing activities taking advantages of the sharing economy…