As cities continue to burgeon, Urban Computing emerges as a pivotal discipline for
sustainable development by harnessing the power of cross-domain data fusion from diverse …

Mobility trajectory data is of great significance for mobility pattern study, urban computing,
and city science. Self-driving, traffic prediction, environment estimation, and many other …

With the digitization of modern cities, large data volumes and powerful computational
resources facilitate the rapid update of intelligent models deployed in smart cities. Continual …

Urban vibrancy describes the prosperity, diversity, and accessibility of urban areas, which is
vital to a city's socio-economic development and sustainability. While many efforts have …

Due to its heterogeneous property, multi-view data has been widely concerned over single-
view data for performance improvement. Unfortunately, some instances may be with partially …

Normal production processes will be substantially impacted by industrial devices in
abnormal working conditions. Anomaly sound detection (ASD) model can monitor the …

Protest Event Analysis is important for government officials and social scientists. Here we
present a new method for predicting protest events and identifying indicators of protests and …

Event detection in a city is crucial for the government to listen to the voice of the citizens, be
aware of the real occurrences in a city, and then make wiser policies. However, in reality …

The drug abuse epidemic has been on the rise in the past few years, particularly after the
start of COVID-19 pandemic. Our preliminary observations on Reddit alone show that …

As one of the key enabling technologies of 5G wireless communication, millimeter-Wave
(mmWave) technology unlocks the ultra-wide bandwidth opportunity in supporting high …