Urban spatio-temporal prediction is crucial for informed decision-making, such as traffic
management, resource optimization, and emergence response. Despite remarkable …

Complex system simulation has been playing an irreplaceable role in understanding,
predicting, and controlling diverse complex systems. In the past few decades, the multi-scale …

Complex networks pervade various real-world systems, from the natural environment to
human societies. The essence of these networks is in their ability to transition and evolve …

Learning complex network dynamics is fundamental for understanding, modeling, and
controlling real-world complex systems. Though great efforts have been made to predict the …

Noise is usually regarded as adversarial to extracting effective dynamics from time series,
such that conventional approaches usually aim at learning dynamics by mitigating the noisy …

Abstract Spatial Data Intelligence (SDI) encompasses acquiring, storing, analyzing, mining,
and visualizing spatial data to gain insights into the physical world and uncover valuable …

摘要作为一个研究对象涵盖基本物质, 生命体和社会的跨学科研究领域, 复杂系统的研究有助于
增进对自然和社会现象的理解和预测, 在解决人类面临的复杂问题中具有重要价值 …