World's Best Scientists 2026 revealed!

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Computer Science

D-Index
78
Citations
26706
World Ranking
1197
National Ranking
634

Electronics and Electrical Engineering

D-Index
78
Citations
26501
World Ranking
571
National Ranking
256

Overview

Shiwen Mao is a researcher affiliated with Auburn University in the United States. Their work spans extensive research in engineering and computer science, with a particular focus on electrical and electronic engineering, computer networks and communications, artificial intelligence, aerospace engineering, and computer vision and pattern recognition.

Their research explores multiple topics including:

  • Indoor and outdoor localization technologies
  • Millimeter-wave propagation and modeling
  • Advanced MIMO systems optimization
  • IoT and edge/fog computing
  • Wireless signal modulation classification
  • Satellite communication systems
  • UAV applications and optimization

Shiwen Mao has contributed to many publications across a range of venues. Frequently, their work appears in:

  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • IEEE Transactions on Vehicular Technology
  • IEEE Transactions on Mobile Computing
  • IEEE Transactions on Wireless Communications

Some of the recent papers associated with or relevant to their research include:

  • "Contour Stella Image and Deep Learning for Signal Recognition in the Physical Layer" (2020) published in IEEE Transactions on Cognitive Communications and Networking
  • "Online Distributed Offloading and Computing Resource Management With Energy Harvesting for Heterogeneous MEC-Enabled IoT" (2021) published in IEEE Transactions on Wireless Communications
  • "Large-scale real-world radio signal recognition with deep learning" (2021) published in Chinese Journal of Aeronautics
  • "Complex-Valued Networks for Automatic Modulation Classification" (2020) published in IEEE Transactions on Vehicular Technology
  • "Unleashing the Power of Edge-Cloud Generative AI in Mobile Networks: A Survey of AIGC Services" (2024) published in IEEE Communications Surveys & Tutorials

Frequent collaborators in their research include Dusit Niyato, Jiawen Kang, Xuyu Wang, Zehui Xiong, and Zhu Han.

Shiwen Mao's publication record also includes book contributions. One notable publication is titled Positioning and Sensing Over Wireless Networks, scheduled for release in 2025 by Springer International Publishing.

Best Publications

  • Big Data: A Survey

    Min Chen;Shiwen Mao;Yunhao Liu

  • CSI-Based Fingerprinting for Indoor Localization: A Deep Learning Approach

    Xuyu Wang;Lingjun Gao;Shiwen Mao;Santosh Pandey

  • Optimized Computation Offloading Performance in Virtual Edge Computing Systems Via Deep Reinforcement Learning

    Xianfu Chen;Honggang Zhang;Celimuge Wu;Shiwen Mao

  • Application of Machine Learning in Wireless Networks: Key Techniques and Open Issues

    Yaohua Sun;Mugen Peng;Yangcheng Zhou;Yuzhe Huang

  • Multiobjective Optimization for Computation Offloading in Fog Computing

    Liqing Liu;Zheng Chang;Xijuan Guo;Shiwen Mao

  • CSI Phase Fingerprinting for Indoor Localization With a Deep Learning Approach

    Xuyu Wang;Lingjun Gao;Shiwen Mao

  • Big Data: Related Technologies, Challenges and Future Prospects

    Min Chen;Shiwen Mao;Yin Zhang;Victor C. M. Leung

  • DeepFi: Deep learning for indoor fingerprinting using channel state information

    Xuyu Wang;Lingjun Gao;Shiwen Mao;Santosh Pandey

  • Video transport over ad hoc networks: multistream coding with multipath transport

    Shiwen Mao;Shunan Lin;S.S. Panwar;Yao Wang

  • PhaseBeat: Exploiting CSI Phase Data for Vital Sign Monitoring with Commodity WiFi Devices

    Xuyu Wang;Chao Yang;Shiwen Mao

  • Contour Stella Image and Deep Learning for Signal Recognition in the Physical Layer

    Yun Lin;Ya Tu;Zheng Dou;Lei Chen

  • Deep Convolutional Neural Networks for Indoor Localization with CSI Images

    Xuyu Wang;Xiangyu Wang;Shiwen Mao

  • Large-scale real-world radio signal recognition with deep learning

    Ya Tu;Yun Lin;Haoran Zha;Ju Zhang

  • Online Distributed Offloading and Computing Resource Management With Energy Harvesting for Heterogeneous MEC-Enabled IoT

    Shichao Xia;Zhixiu Yao;Yun Li;Shiwen Mao

  • Deep Reinforcement Learning-Based Mode Selection and Resource Management for Green Fog Radio Access Networks

    Yaohua Sun;Mugen Peng;Shiwen Mao

  • Complex-Valued Networks for Automatic Modulation Classification

    Ya Tu;Yun Lin;Changbo Hou;Shiwen Mao

  • Directional geographical routing for real-time video communications in wireless sensor networks

    Min Chen;Victor C. M. Leung;Shiwen Mao;Yong Yuan

  • Performance Evaluation of Cognitive Radios: Metrics, Utility Functions, and Methodology

    Youping Zhao;Shiwen Mao;J.O. Neel;J.H. Reed

  • EMC: Emotion-aware mobile cloud computing in 5G

    Min Chen;Yin Zhang;Yong Li;Shiwen Mao

  • Adaptive Electricity Scheduling in Microgrids

    Yingsong Huang;Shiwen Mao;R. M. Nelms

  • BiLoc: Bi-Modal Deep Learning for Indoor Localization With Commodity 5GHz WiFi

    Xuyu Wang;Lingjun Gao;Shiwen Mao

  • User Grouping for Massive MIMO in FDD Systems: New Design Methods and Analysis

    Yi Xu;Guosen Yue;Shiwen Mao

Frequent Co-Authors

Min Chen
Min Chen South China University of Technology
Shivendra S. Panwar
Shivendra S. Panwar New York University
Victor C. M. Leung
Victor C. M. Leung Shenzhen University
Tao Jiang
Tao Jiang Huazhong University of Science and Technology
Scott F. Midkiff
Scott F. Midkiff Virginia Tech
R.M. Nelms
R.M. Nelms Auburn University
Prathima Agrawal
Prathima Agrawal Auburn University
Sastry Kompella
Sastry Kompella United States Naval Research Laboratory
Jeffrey H. Reed
Jeffrey H. Reed Virginia Tech
Yao Wang
Yao Wang New York University

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