Daqing Zhang

TL;DR: An automatic and non-intrusive stress detection framework based on smartphone sensing data is proposed, and various discriminative features from multi-modality phone sensing data are constructed to make the model more personalized.

TL;DR: Wang et al. as discussed by the authors proposed a two-phase framework for urban village boundary identification and population estimation based on heterogeneous open government data, which can not only accurately identify the boundaries of urban villages from large-scale satellite imagery by fusing road networks guided patches with bike-sharing drop-off patterns, but also accurately estimate the resident and floating populations of urban village with a proposed multi-view neural network model.

TL;DR: Results not only show that the force-directed approach to model the relationship between vacant cars and passengers as that between positive and negative charges in electrostatic field outperforms existing baselines, but also justify the need to incorporate multi-source urban data and dynamic prices.

TL;DR: This paper investigates the relationship status of SMM from a new perspective, by introducing the SMM's online digital footprints left on SMMSA and demonstrating that by utilizing such correlations, it has the potential to construct machine-learning-based models for relationship status inference.