Daqing Zhang

TL;DR: This paper predicts the dynamic prices of ride-on-demand services using multi-source urban data based on a simple linear regression model with high-dimensional composite features to compensate for the loss of expressiveness in a linear model due to the lack of non-linearity.

TL;DR: An ontology-based peer-to-peer network that facilitates efficient search for data in widearea networks and dedicating part of node identifiers to correspond to their data semantics is presented.

TL;DR: A planning approach is adopted to describe the temporal constraints of daily activities, and three disruptive activities are defined in a context-aware reminding strategy, which handles the conflicts between pre-planned and disruptive activities.

TL;DR: A new form of crowdsourced logistics that organizes passengers and packages in a shared room, i.e., using taxis that are already transporting passengers as package hitchhikers to achieve on-time deliveries to lower the cost and accelerate package deliveries simultaneously is proposed.

TL;DR: Wu et al. as mentioned in this paper proposed WiTraj, a device-free indoor motion tracking system using commodity WiFi devices, which leverages multiple receivers placed at different viewing angles to capture human walking and then intelligently combines the best views to achieve a robust trajectory reconstruction, and distinguishes walking from in-place activities, which are typically interleaved in daily life, so that non-walking activities do not cause tracking errors.