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cs.AI2026
EventOD: Event-Aware OD Flow Generation via LLM-Guided Semantic Modulation
Jie Zhao, Jie Feng, Can Rong +3
Estimating origin-destination (OD) flows under disruptive events is important for disaster response and urban resilience. Existing deep OD models trained on routine mobility often…
cs.AI2025
DiffMove: Group Mobility Tendency Enhanced Trajectory Recovery via Diffusion Model
Qingyue Long, Can Rong, Huandong Wang +2
In the real world, trajectory data is often sparse and incomplete due to low collection frequencies or limited device coverage. Trajectory recovery aims to recover these missing tr…
cs.AI2025
A Diffusive Data Augmentation Framework for Reconstruction of Complex Network Evolutionary History
En Xu, Can Rong, Jingtao Ding +1
The evolutionary processes of complex systems contain critical information regarding their functional characteristics. The generation time of edges provides insights into the histo…