Bridging Policy and Real-World Dynamics: LLM-Augmented Rebalancing for Shared Micromobility Systems

Mobility-Aware Cache Framework for Scalable LLM-Based Human Mobility Simulation

Guiding LLM-Based Human Mobility Simulation with Mobility Measures from Shared Data

LLM-guided reinforcement learning: Addressing training bottlenecks through policy modulation

Large Language Model-guided Semantic Alignment for Human Activity Recognition

Small Fleet, Big Impact: Enhancing Shared Micromobility Efficiency through Minimal Autonomous Vehicle Deployment

REALISM: A Regulatory Framework for Coordinated Scheduling in Multi-Operator Shared Micromobility Services

Spatially Aware Mixture of Propagation for Air Quality Prediction

Robust Route Planning under Uncertain Pickup Requests for Last-Mile Delivery

Human Preference-Aware Rebalancing and Charging for Shared Electric Micromobility Vehicles

Large-Scale Trajectory Prediction via Relationship-Aware Adaptive Hierarchical Graph Learning

Identifying Regional Driving Risks via Transductive Cross-City Transfer Learning under Negative Transfer

Logistics Audience Expansion via Temporal Knowledge Graph

O2-SiteRec: Store Site Recommendation under the O2O Model via Multi-Graph Attention Networks

Multi-Source Data-Driven Route Prediction for Instant Delivery