2 citations · 2 across the 17 of their papers we have counts for
4 papers · 1 filter
GeoGen: A Two-stage Coarse-to-Fine Framework for Fine-grained Synthetic Location-based Social Network Trajectory Generation
Rongchao Xu, Kunlin Cai, Lin Jiang +3
Location-Based Social Network (LBSN) check-in trajectory data are important for many practical applications, like POI recommendation, advertising, and pandemic intervention. Howeve…
UQGNN: Uncertainty Quantification of Graph Neural Networks for Multivariate Spatiotemporal Prediction
Dahai Yu, Dingyi Zhuang, Lin Jiang +5
Spatiotemporal prediction plays a critical role in numerous real-world applications such as urban planning, transportation optimization, disaster response, and pandemic control. In…
HCRide: Harmonizing Passenger Fairness and Driver Preference for Human-Centered Ride-Hailing
Lin Jiang, Yu Yang, Guang Wang
Order dispatch systems play a vital role in ride-hailing services, which directly influence operator revenue, driver profit, and passenger experience. Most existing work focuses on…
Uncertainty-aware Predict-Then-Optimize Framework for Equitable Post-Disaster Power Restoration
Lin Jiang, Dahai Yu, Rongchao Xu +2
The increasing frequency of extreme weather events, such as hurricanes, highlights the urgent need for efficient and equitable power system restoration. Many electricity providers…