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cs.LG2026
Learning to Transfer Across Modes: Towards Unified Urban Mobility Forecasting
Yixuan Zhao, Man Luo
Urban transportation systems consist of multiple mobility modes that coexist within the same city and exhibit complex interdependencies, leading to correlated demand dynamics acros…
cs.LG2026
Toward Equitable Low-Carbon Mobility: Fairness-Aware Demand Prediction for Expanding Bike-Sharing Systems
Man Luo, Yixuan Zhao
Bike-sharing systems are an important component of low-carbon urban mobility, but continued expansion creates challenges in both cold-start prediction and equitable resource alloca…
cs.LG2026
Partially Observable Learning for Multi-Platform Dispatch Optimization
Fengming Yao, Man Luo
Instant delivery platforms have become a critical component of urban logistics, increasingly relying on crowdsourced couriers to fulfill highly dynamic orders. In real-world system…