BACKGROUND Accurate and comprehensive measurements of a range of sustainable
development outcomes are fundamental inputs into both research and policy. For instance …

Online services are playing critical roles in almost all aspects of users' life. Users usually
have multiple online identities (IDs) in different online services. In order to fuse the …

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

Precise measuring of urban façade color is necessary for urban color planning. The existing
manual methods of measuring building façade color are limited by time and labor costs and …

We propose a weakly supervised approach for creating maps using free-form textual
descriptions. We refer to this work of creating textual maps as zero-shot map**. Prior …

Spatially fine-grained urban flow data is critical for smart city efforts. Though fine-grained
information is desirable for applications, it demands much more resources for the underlying …

Citywide crowd flow analytics is of great importance to smart city efforts. It aims to model the
crowd flow (eg, inflow and outflow) of each region in a city based on historical observations …

Recent technology development brings the booming of numerous new Demand-Driven
Services (DDS) into urban lives, including ridesharing, on-demand delivery, express …

Fine-scale population estimation (FPE) is crucial for urban management. After training, the
bottom-up FPE models can be applied independently of census data. However, given the …

Accurate inference of fine-grained traffic flow from coarse-grained one is an emerging yet
crucial problem, which can help greatly reduce the number of the required traffic monitoring …