3 papers
cs.LG2025
FairDRL-ST: Disentangled Representation Learning for Fair Spatio-Temporal Mobility Prediction
Sichen Zhao, Wei Shao, Jeffrey Chan +2
As deep spatio-temporal neural networks are increasingly utilised in urban computing contexts, the deployment of such methods can have a direct impact on users of critical urban in…
cs.AI2024
Long-term Fairness in Ride-Hailing Platform
Yufan Kang, Jeffrey Chan, Wei Shao +2
Matching in two-sided markets such as ride-hailing has recently received significant attention. However, existing studies on ride-hailing mainly focus on optimising efficiency, and…
cs.AI2024
Promoting Two-sided Fairness in Dynamic Vehicle Routing Problem
Yufan Kang, Rongsheng Zhang, Wei Shao +2
Dynamic Vehicle Routing Problem (DVRP), is an extension of the classic Vehicle Routing Problem (VRP), which is a fundamental problem in logistics and transportation. Typically, DVR…