6 papers
WED-Net: A Weather-Effect Disentanglement Network with Causal Augmentation for Urban Flow Prediction
Qian Hong, Siyuan Chang, Xiao Zhou
Urban spatio-temporal prediction under extreme conditions (e.g., heavy rain) is challenging due to event rarity and dynamics. Existing data-driven approaches that incorporate weath…
Intelli-Planner: Towards Customized Urban Planning via Large Language Model Empowered Reinforcement Learning
Xixian Yong, Peilin Sun, Zihe Wang +1
Effective urban planning is crucial for enhancing residents' quality of life and ensuring societal stability, playing a pivotal role in the sustainable development of cities. Curre…
Spatio-Temporal Hierarchical Causal Models
Xintong Li, Haoran Zhang, Xiao Zhou
The abundance of fine-grained spatio-temporal data, such as traffic sensor networks, offers vast opportunities for scientific discovery. However, inferring causal relationships fro…
Agentic Satellite-Augmented Low-Altitude Economy and Terrestrial Networks: A Survey on Generative Approaches
Xiaozheng Gao, Yichen Wang, Bosen Liu +9
The development of satellite-augmented low-altitude economy and terrestrial networks (SLAETNs) demands intelligent and autonomous systems that can operate reliably across heterogen…
CureGraph: Contrastive Multi-Modal Graph Representation Learning for Urban Living Circle Health Profiling and Prediction
Jinlin Li, Xiao Zhou
The early detection and prediction of health status decline among the elderly at the neighborhood level are of great significance for urban planning and public health policymaking.…
FAP-CD: Fairness-Driven Age-Friendly Community Planning via Conditional Diffusion Generation
Jinlin Li, Xintong Li, Xiao Zhou
As global populations age rapidly, incorporating age-specific considerations into urban planning has become essential to addressing the urgent demand for age-friendly built environ…