3 papers
cs.LG2026
Learning to Optimize: Joint Routing and Flow Allocation on Sparse Non-Euclidean Networks
Haomiao Sun, Fang He, Congyuan Ji +1
We study an integrated pickup-and-delivery problem on sparse, non-Euclidean networks that jointly optimizes cyclic routing, cargo flow allocation, and cross-cycle service. The tigh…
cs.LG2026
Beyond the Next Port: A Multi-Task Transformer for Forecasting Future Voyage Segment Durations
Nairui Liu, Fang He, Xindi Tang +1
Accurate forecasts of segment-level sailing durations are fundamental to enhancing maritime schedule reliability and optimizing long-term port operations. However, conventional est…
cs.LG2026
Few-Shot Learning for Dynamic Operations of Automated Electric Taxi Fleets under Evolving Charging Infrastructure: A Meta-Deep Reinforcement Learning Approach
Xiaozhuang Li, Xindi Tang, Fang He
With the rapid expansion of electric vehicles (EVs) and charging infrastructure, the effective management of Autonomous Electric Taxi (AET) fleets faces a critical challenge in env…