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Xuyu Wang
Researcher at California State University
Publications - 85
Citations - 3890
Xuyu Wang is an academic researcher from California State University. The author has contributed to research in topics: Computer science & Deep learning. The author has an hindex of 19, co-authored 67 publications receiving 2582 citations. Previous affiliations of Xuyu Wang include Xidian University & Auburn University.
Papers
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Journal ArticleDOI
CSI-Based Fingerprinting for Indoor Localization: A Deep Learning Approach
TL;DR: In this article, a deep-learning-based indoor fingerprinting system using channel state information (CSI) is presented, which includes an offline training phase and an online localization phase.
Journal ArticleDOI
CSI Phase Fingerprinting for Indoor Localization With a Deep Learning Approach
Xuyu Wang,Lingjun Gao,Shiwen Mao +2 more
TL;DR: In this paper, a fingerprinting system for indoor localization with calibrated channel state information (CSI) phase information is proposed, where a greedy learning algorithm is incorporated to train the weights layer-by-layer to reduce computational complexity.
Proceedings ArticleDOI
DeepFi: Deep learning for indoor fingerprinting using channel state information
TL;DR: Experimental results are presented to confirm that DeepFi can effectively reduce location error compared with three existing methods in two representative indoor environments.
Proceedings ArticleDOI
PhaseBeat: Exploiting CSI Phase Data for Vital Sign Monitoring with Commodity WiFi Devices
Xuyu Wang,Chao Yang,Shiwen Mao +2 more
TL;DR: This paper designs and implements the PhaseBeat system with off-the-shelf WiFi devices, and conducts an extensive experimental study to validate its performance, demonstrating the superior performance of PhaseBeat over existing approaches in various indoor environments.
Journal ArticleDOI
Deep Convolutional Neural Networks for Indoor Localization with CSI Images
TL;DR: This paper proposes CiFi, deep convolutional neural networks (DCNN) for indoor localization with commodity 5GHz WiFi, and implements the system with commodity Wi-Fi devices in the 5GHz band and verifies its performance with extensive experiments in two representative indoor environments.