Urban sensing is a foundation of urban computing, collecting data in cities through ubiquitous
computing techniques, eg using humans as sensors. In this paper, we propose a crowd-…

Dynamic taxi route recommendation aims at recommending cruising routes to vacant taxis
such that they can quickly find and pick up new passengers. Given citizens’ giant but …

Protecting citizens' lives from emergent accidents (eg traffic accidents) and diseases (eg
heart attack) is of vital importance in urban computing. Every day many people are caught in …

Measuring and optimizing the influence of nodes in big-data online social networks are
important for many practical applications, such as the viral marketing and the adoption of new …

Ordering take-out food (aka takeaway food) on online-to-offline (O2O) food ordering and
delivery platforms is becoming a new lifestyle for people living in big cities, thanks to its great …

Social networks constitute a new platform for information propagation, but its success is
crucially dependent on the choice of spreaders who initiate the spreading of information. In this …

Weather forecasting is an attractive yet challenging task due to its significant impacts on
human life and the intricate nature of atmospheric motion. Deep learning-based techniques, …

Daily schedule recommendation is an intelligent approach to recommend multiple suitable
activity locations and activity sequences for users based on their needs in a day. In such a …

Urban flow analysis is an essential research for smart city construction, in which urban flow
pattern analysis focuses on the continuous state of urban flow. How to mine, store and reuse …

Urban metro flow prediction is of great value for metro operation scheduling, passenger flow
management and personal travel planning. However, the problem is challenging. First, …