9 citations · 25 across the 13 of their papers we have counts for
13 papers
MUSE-Fi: Contactless MUti-person SEnsing Exploiting Near-field Wi-Fi Channel Variation
Jingzhi Hu, Tianyue Zheng, Zhe Chen +2
Having been studied for more than a decade, Wi-Fi human sensing still faces a major challenge in the presence of multiple persons, simply because the limited bandwidth of Wi-Fi fai…
OCHID-Fi: Occlusion-Robust Hand Pose Estimation in 3D via RF-Vision
Shujie Zhang, Tianyue Zheng, Zhe Chen +4
Hand Pose Estimation (HPE) is crucial to many applications, but conventional cameras-based CM-HPE methods are completely subject to Line-of-Sight (LoS), as cameras cannot capture o…
Multi-band Reconfigurable Holographic Surface Based ISAC Systems: Design and Optimization
Jingzhi Hu, Zhe Chen, Jun Luo
Metamaterial-based reconfigurable holographic surfaces (RHSs) have been proposed as novel cost-efficient antenna arrays, which are promising for improving the positioning and commu…
Meta-material Sensor Based Internet of Things: Design, Optimization, and Implementation
Jingzhi Hu, Hongliang Zhang, Boya Di +3
For many applications envisioned for the Internet of Things (IoT), it is expected that the sensors will have very low costs and zero power, which can be satisfied by meta-material…
MetaSketch: Wireless Semantic Segmentation by Metamaterial Surfaces
Jingzhi Hu, Hongliang Zhang, Kaigui Bian +3
Semantic segmentation is a process of partitioning an image into multiple segments for recognizing humans and objects, which can be widely applied in scenarios such as healthcare a…
Deployment Optimization for Meta-material Based Internet of Things
Xu Liu, Jingzhi Hu, Hongliang Zhang +2
In this paper, we propose a Meta-IoT system to achieve ubiquitous deployment and pervasive sensing for future Internet of Things (IoT). In such a system, sensors are composed of de…
Meta-material Sensors based Internet of Things for 6G Communications
Jingzhi Hu, Hongliang Zhang, Boya Di +2
In the coming 6G communications, the internet of things (IoT) serves as a key enabler to collect environmental information and is expected to achieve ubiquitous deployment. However…
MetaSensing: Intelligent Metasurface Assisted RF 3D Sensing by Deep Reinforcement Learning
Jingzhi Hu, Hongliang Zhang, Kaigui Bian +3
Using RF signals for wireless sensing has gained increasing attention. However, due to the unwanted multi-path fading in uncontrollable radio environments, the accuracy of RF sensi…
MetaRadar: Indoor Localization by Reconfigurable Metamaterials
Haobo Zhang, Jingzhi Hu, Hongliang Zhang +4
Indoor localization has drawn much attention owing to its potential for supporting location based services. Among various indoor localization techniques, the received signal streng…
Cooperative Internet of UAVs: Distributed Trajectory Design by Multi-agent Deep Reinforcement Learning
Jingzhi Hu, Hongliang Zhang, Lingyang Song +2
Due to the advantages of flexible deployment and extensive coverage, unmanned aerial vehicles (UAVs) have great potential for sensing applications in the next generation of cellula…
Reconfigurable Intelligent Surfaces based RF Sensing: Design, Optimization, and Implementation
Jingzhi Hu, Hongliang Zhang, Boya Di +5
Using radio-frequency (RF) sensing techniques for human posture recognition has attracted growing interest due to its advantages of pervasiveness, contact-free observation, and pri…
Reinforcement Learning for a Cellular Internet of UAVs: Protocol Design, Trajectory Control, and Resource Management
Jingzhi Hu, Hongliang Zhang, Lingyang Song +2
Unmanned aerial vehicles (UAVs) can be powerful Internet-of-Things components to execute sensing tasks over the next-generation cellular networks, which are generally referred to a…
Reinforcement Learning for Decentralized Trajectory Design in Cellular UAV Networks with Sense-and-Send Protocol
Jingzhi Hu, Hongliang Zhang, Lingyang Song
Recently, the unmanned aerial vehicles (UAVs) have been widely used in real-time sensing applications over cellular networks, which sense the conditions of the tasks and transmit t…