Zhe Yang

TL;DR: A prototype system is developed, which obtains users' travel demands from mobile client and generates travel packages containing multiple points of interest and their visiting sequence, and shows promise with respect to improving recommendation accuracy and diversity.

TL;DR: This paper analyzes the fine-grained RSS distribution properties at a variety of node distances and reveals that the structure of the triangle is efficient for low-cost passive localization, and constructs a unit localization model aiming at high accuracy localization.

TL;DR: An e nergy-efficient framework for high-precision multi-target-a daptive device-free localization (E-HIPA), which demands fewer transceivers, applies the compressive sensing (CS) theory to guarantee high localization accuracy with less RSS change measurements, and theoretically proves the validity of the proposed CS-based framework problem formulation.

TL;DR: TLCS is presented-a transferring compressive sensing based DFL approach-which employs a rigorously designed transferring function to transfer the distorted RSS changes across different categories of targets into a latent feature space, where the distributions of the distortedrss change measurements from different category of targets are unified.

TL;DR: The feasibility and effectiveness of the proposed EACS scheme, an environment-aware clock synchronization (EACS) scheme which can prolong the time resynchronization period by an order of magnitude in dynamic environments, are demonstrated.