Shiwen Mao
Shiwen Mao
Professor and Earle C. Williams Eminent Scholar, Fellow of the IEEE, Dept. ECE, Auburn University
Vahvistettu sähköpostiosoite verkkotunnuksessa - Kotisivu
Big data: A survey
M Chen, S Mao, Y Liu
Mobile Networks and Applications Journal (MONET) 19 (2), 171-209, 2014
CSI-based Fingerprinting for Indoor Localization: A Deep Learning Approach
X Wang, L Gao, S Mao, S Pandey
IEEE Transactions on Vehicular Technology 66 (1), 763-776, 2017
Big Data: Related Technologies, Challenges and Future Prospects
M Chen, S Mao, Y Zhang, VCM Leung
Big Data: Related Technologies, Challenges and Future Prospects, 2014
Optimized computation offloading performance in virtual edge computing systems via deep reinforcement learning
X Chen, H Zhang, C Wu, S Mao, Y Ji, M Bennis
IEEE Internet of Things Journal 6 (3), 4005-4018, 2019
Application of machine learning in wireless networks: Key techniques and open issues
Y Sun, M Peng, Y Zhou, Y Huang, S Mao
IEEE Communications Surveys & Tutorials 21 (4), 3072-3108, 2019
Multiobjective optimization for computation offloading in fog computing
L Liu, Z Chang, X Guo, S Mao, T Ristaniemi
IEEE Internet of Things Journal 5 (1), 283-294, 2018
CSI phase fingerprinting for indoor localization with a deep learning approach
X Wang, L Gao, S Mao
IEEE Internet of Things Journal 3 (6), 1113-1123, 2016
DeepFi: Deep Learning for Indoor Fingerprinting Using Channel State Information
X Wang, L Gao, S Mao, S Pandey
The 2015 IEEE Wireless Communications and Networking Conference (WCNC 2015 …, 2015
Video transport over ad hoc networks: multistream coding with multipath transport
S Mao, S Lin, SS Panwar, Y Wang, E Celebi
IEEE Journal on Selected Areas in Communications 21 (10), 1721-1737, 2003
PhaseBeat: Exploiting CSI phase data for vital sign monitoring with commodity WiFi devices
X Wang, C Yang, S Mao
IEEE 37th International Conference on Distributed Computing Systems (ICDCS …, 2017
Deep convolutional neural networks for indoor localization with CSI images
X Wang, X Wang, S Mao
IEEE Transactions on Network Science and Engineering 7 (1), 316-327, 2020
Directional geographical routing for real-time video communications in wireless sensor networks
M Chen, VCM Leung, S Mao, Y Yuan
Elsevier Computer Communications 30 (17), 3368-3383, 2007
Performance evaluation of cognitive radios: Metrics, utility functions, and methodology
Y Zhao, S Mao, JO Neel, JH Reed
Proceedings of the IEEE 97 (4), 642-659, 2009
TensorBeat: Tensor decomposition for monitoring multi-person breathing beats with commodity WiFi
X Wang, C Yang, S Mao
ACM Transactions on Intelligent Systems and Technology 9 (1), Article No. 8, 2017
Adaptive electricity scheduling in microgrids
Y Huang, S Mao, RM Nelms
IEEE Transactions on Smart Grid 5 (1), 270-281, 2014
Contour stella image and deep learning for signal recognition in the physical layer
Y Lin, Y Tu, Z Dou, L Chen, S Mao
IEEE Transactions on Cognitive Communications and Networking 7 (1), 34-46, 2020
Learn to cache: Machine learning for network edge caching in the big data era
Z Chang, L Lei, Z Zhou, S Mao, T Ristaniemi
IEEE Wireless Communications 25 (3), 28-35, 2018
Deep reinforcement learning-based mode selection and resource management for green fog radio access networks
Y Sun, M Peng, S Mao
IEEE Internet of Things Journal 6 (2), 1960-1971, 2019
EMC: Emotion-aware mobile cloud computing in 5G
M Chen, Y Zhang, Y Li, S Mao, VCM Leung
IEEE Network 29 (2), 32-38, 2015
An Overview of 3GPP Cellular Vehicle-to-Everything Standards
X Wang, S Mao, MX Gong
ACM GetMobile: Mobile Computing and Communications 21 (3), 19-25, 2017
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