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cs.LG2026

UrbanVerse: Learning Urban Region Representation Across Cities and Tasks

Fengze Sun, Egemen Tanin, Shanika Karunasekera +3

Recent advances in urban region representation learning have enabled a wide range of applications in urban analytics, yet existing methods remain limited in their capabilities to g…

cs.LG2026

SEAFormer: A Spatial Proximity and Edge-Aware Transformer for Real-World Vehicle Routing Problems

Saeed Nasehi Basharzad, Farhana Choudhury, Egemen Tanin

Real-world Vehicle Routing Problems (RWVRPs) require solving complex, sequence-dependent challenges at scale with constraints such as delivery time window, replenishment or recharg…

cs.LG2025

Generalising Traffic Forecasting to Regions without Traffic Observations

Xinyu Su, Majid Sarvi, Feng Liu +2

Traffic forecasting is essential for intelligent transportation systems. Accurate forecasting relies on continuous observations collected by traffic sensors. However, due to high d…

cs.LG2025

Dynamic Configuration of On-Street Parking Spaces using Multi Agent Reinforcement Learning

Oshada Jayasinghe, Farhana Choudhury, Egemen Tanin +1

With increased travelling needs more than ever, traffic congestion has become a major concern in most urban areas. Allocating spaces for on-street parking, further hinders traffic…

cs.LG2025

DualCast: A Model to Disentangle Aperiodic Events from Traffic Series

Xinyu Su, Feng Liu, Yanchuan Chang +3

Traffic forecasting is crucial for transportation systems optimisation. Current models minimise the mean forecasting errors, often favouring periodic events prevalent in the traini…

cs.LG2025

FlexiReg: Flexible Urban Region Representation Learning

Fengze Sun, Yanchuan Chang, Egemen Tanin +2

The increasing availability of urban data offers new opportunities for learning region representations, which can be used as input to machine learning models for downstream tasks s…