Xuyu Wang
PhD candidate
Department of Electrical and Computer Engineering
Auburn University

Office: 314 Broun Hall, Auburn University, Auburn, AL 36849-5201, USA
Email: xzw0029 AT tigermail.auburn.edu
Google Scholar

I am a 5th year PhD student in Department of Electrical and Computer Engineering at Auburn University, supervised by Dr. Shiwen Mao. I received my master degree and bachelor degree from Electrical and Computer Engineering at Xidian University, Xi’an, China, in 2009 and 2012, respectively. My advisor is Dr. Xinbo Gao at Xidian University. I had internship at Global Energy Interconnection Research Institute North America (GEIRI North America), San Jose, CA, from May, 2017 to August, 2017.

My research interests are in the area of wireless system and mobile computing. Currently, my research focuses on deep learning, Internet of Things, indoor localization, cyber-physical system, health sensing, 5G systems and Big Data. I am also interested in using advanced signal processing, machine learning, statistical interference, and optimization theory for solving practical systems and fundamental problems.

Research Projects

Journal & Magazine Publications

Xuyu Wang, Xiangyu Wang, and Shiwen Mao, “RF Sensing for Internet of Things: A General Deep Learning Framework,” IEEE Communications Magazine, Aug. 2018.
Xuyu Wang, Shiwen Mao, and Michelle X. Gong, “An overview of 3GPP cellular vehicle-to-everything standards,” ACM GetMobile: Mobile Computing and Communications Review., vol.21, no.3, pp.19-25, Sept. 2017.
Xuyu Wang, Lingjun Gao, and Shiwen Mao, “BiLoc: Bi-modality deep learning for indoor localization with 5GHz commodity Wi-Fi,” IEEE Access Journal, Special Section on Cooperative and Intelligent Sensing,vol.5, no.1, pp.4209-4220, Mar. 2017. DOI: 10.1109/ACCESS.2017.2688362. [LINK] [PDF] (Top 50 most frequently accessed: May 2017; )
Xuyu Wang, Chao Yang, and Shiwen Mao, “TensorBeat: Tensor Decomposition for Monitoring Multiperson Breathing Beats with Commodity WiFi,” ACM Transactions on Intelligent Systems and Technology, Special Issue on Data-driven Intelligence for Wireless Networking, vol.9, no.1, Article 8, June 2017. DOI: 10.1145/3078855. [LINK] [PDF]
Xuyu Wang, Lingjun Gao, Shiwen Mao, and Santosh Pandey, “CSI-based fingerprinting for indoor localization: A deep learning approach,” IEEE Transactions on Vehicular Technology, vol.66, no.1, pp.763-776, Jan. 2017. DOI: 10.1109/TVT.2016.2545523. [LINK] [PDF] (Top 50 most frequently accessed: Sep. 2017-top2; Aug. 2017-Top1; July 2017-Top1; June 2017-Top 1; May 2017-Top 1; Apr. 2017-Top 1; Mar. 2017-Top 1; Feb. 2017-Top 1; Jan. 2017-Top 3)
Xuyu Wang, Shiwen Mao, and Michelle X. Gong, “A survey of LTE Wi-Fi coexistence in unlicensed bands,” ACM GetMobile: Mobile Computing and Communications, vol.20, no.3, pp.17-23, July 2016. DOI: 10.1145/3036699.3036705. [LINK] [PDF]
Xuyu Wang, Lingjun Gao, and Shiwen Mao, “CSI phase fingerprinting for indoor localization with a deep learning approach,” IEEE Internet of Things Journal, vol.3, no.6, pp.1113-1123, Dec. 2016. DOI: 10.1109/JIOT.2016.2558659. [LINK] [PDF] (Top 50 most frequently accessed: Sep. 2017; Aug. 2017; June 2017; May 2017; Mar. 2017; Feb. 2017; Jan. 2017)
Xuyu Wang, Runze Huang, and Shiwen Mao, “Sonar Phase for Contactless Breathing Beat Monitoring with Smartphones,” IEEE Transactions on Multimedia, in revision.
Xuyu Wang, Xiangyu Wang, and Shiwen Mao, “Deep Convolutional Neural Networks for Indoor Localization with CSI Images,” IEEE Transactions on Network Science and Engineering, under review.

Conference Publications

Weidong Yang, Xuyu Wang, Shui Cao, Hui Wang, and Shiwen Mao, “Multi-class wheat moisture detection with 5GHz Wi-Fi: A deep LSTM approach,” in Proc. IEEE ICCCN 2018, Hangzhou, China, July/Aug. 2018.
Weidong Yang, Xuyu Wang, Anxiao Song, and Shiwen Mao, “Wi-Wheat: Contact-free wheat moisture detection using commodity WiFi,” in Proc. IEEE ICC 2018, Kansas City, MO, May 2018.
Xuyu Wang, Zhitao Yu, and Shiwen Mao, “DeepML: Deep LSTM for indoor localization with smartphone magnetic and light sensors,” in Proc. IEEE ICC 2018, Kansas City, MO, May 2018.
Xuyu Wang, Xiangyu Wang, and Shiwen Mao, “ResLoc: Deep residual sharing learning for indoor localization with CSI tensors,” in Proc. IEEE PIMRC 2017, Montreal, QC, Canada, Oct. 2017. (The IEEE PIMRC 2017 Best Student Paper Award)
Xuyu Wang, Chao Yang, and Shiwen Mao, “ResBeat: Resilient breathing beats monitoring with online bimodal CSI data,” in Proc. IEEE GLOBECOM 2017, Singapore, Dec. 2017.
Xuyu Wang, Runze Huang, and Shiwen Mao, “SonarBeat: Sonar phase for breathing beat monitoring with smartphones,” in Proc. ICCCN 2017, Vancouver, Candada, July/Aug. 2017. [PDF]
Xuyu Wang, Runze Huang, and Shiwen Mao, “Demo Abstract: SonarBeat: Sonar phase for breathing beat monitoring with smartphones,” in Proc. IEEE SECON 2017, San Diego, CA, June 2017.(The IEEE SECON 2017 Best Demo Award) [LINK][PDF] Press cover: Auburn Unversity Homepage!, Yellowhammer News, WTVM The Auburn Plainsman
Xuyu Wang, Chao Yang, and Shiwen Mao, “PhaseBeat: Exploiting CSI phase data for vital sign monitoring with commodity WiFi devices,” in Proc. IEEE ICDCS 2017, Atlanta, GA, June 2017. Demo: [LINK]
Xuyu Wang, Xiangyu Wang, and Shiwen Mao, “CiFi: Deep convolutional neural networks for indoor localization with 5GHz Wi-Fi,” in Proc. IEEE ICC 2017, Paris, France, May 2017.
Xuyu Wang, Lingjun Gao, and Shiwen Mao, “PhaseFi: Phase fingerprinting for indoor localization with a deep learning approach,” in Proc. IEEE GLOBECOM 2015, San Diego, CA, Dec. 2015, pp.1-6. [PDF]
Xuyu Wang, Lingjun Gao, Shiwen Mao, and Santosh Pandey, “DeepFi: Deep learning for indoor fingerprinting using channel state information,” in Proc. IEEE WCNC 2015, New Orleans, LA, Mar. 2015, pp.1666-1671. [PDF]
Xuyu Wang, Hui Zhou, Shiwen Mao, Santosh Pandey, Prathima Agrawal, and David Bevly, “Mobility improves LMI-based cooperative indoor localization,” in Proc. IEEE WCNC 2015, New Orleans, LA, Mar. 2015, pp.2215-2220. [PDF]
Xuyu Wang, Shiwen Mao, Santosh Pandey, and Prathima Agrawal, “CA2T: Cooperative antenna arrays technique for pinpoint indoor localization,” invited paper, in Proc. MobiSPC 2014, Niagara Falls, Canada, Aug. 2014, pp.392-399. [PDF]
Xuyu Wang, Xinbo Gao, and Ru Zong, “Deployment of High Altitude Platforms in Heterogeneous Wireless Sensor Network via MRF-MAP and Potential Games,” Proc. IEEE WCNC 2013, Shanghai, China, Apr. 2013, pp. 1446–1451. [PDF]
Xuyu Wang, Xinbo Gao, and Ru Zong, “Energy-Efficient Deployment of Airships for High Altitude Platforms: A Deterministic Annealing Approach,” Proc. IEEE GLOBECOM 2011, Houston, Texas, USA, Dec. 2011. [PDF]
Xuyu Wang, Xinbo Gao, and Ru Zong, “An Optimal Model and Solution of Deployment of Airships for High Altitude Platforms,” Proc. IEEE WCSP 2010, Suzhou, China,Oct. 2010. [PDF]
Ru Zong, Xinbo Gao, Xuyu Wang, and Zongting Lv “Deployment of High Altitude Platforms Network: A Game Theoretic Approach,” Proc. IEEE ICNC 2012, Workshop on Computing, Networking and Communications, Maui, Hawaii, USA, January, 2012, pp. 304–308. [PDF]
Peng Cheng, Anjin Guo, Youyun Xu, Xuyu Wang, and Xinbo Gao, “A Game Approach for Dynamic Resource Allocation in Cognitive Radio Networks,” in Proc. IEEE WCSP 2010, Suzhou, China, Oct. 2010. [PDF]

Patents Filed

Chinese Patents

Honors and Awards

Professional Activities

Skills

Courses

© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Locations of visitors to this page