Hongbo Jiang

TL;DR: LIFS, a Low human-effort, device-free localization system with fine-grained subcarrier information, which can localize a target accurately without offline training, outperforming the state-of-the-art systems.

TL;DR: An energy-efficient framework for clustering-based data collection in wireless sensor networks by integrating adaptively enabling/disabling prediction scheme and shows how sleep/awake scheduling can be applied, which takes the framework approach to designing a practical algorithm for data aggregation.

TL;DR: This paper conducts the first work on a framework for truthful online cloud auctions where users with heterogeneous demands could come and leave on the fly and designs a novel bidding language, wherein users' heterogeneous requirement on their desired allocation time, application type, and even how they value among different possible allocations can be flexibly and concisely expressed.

TL;DR: This paper surveys the recent advances in the smart home systems based on the Wi-Fi sensing, mainly in such areas as health monitoring, gesture recognition, contextual information acquisition, and authentication.

TL;DR: TagScan is a system that can identify the material type and image the horizontal cut of a target simultaneously with cheap commercial off the-shelf RFID devices and is able to achieve higher than 94% material identification accuracies for 10 liquids.