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2025

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Computer Science

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  • 2025 - Research.com Rising Stars Award

Overview

Yuanming Shi is affiliated with ShanghaiTech University in China and has a research focus spanning engineering and computer science. Their scholarly work integrates subfields including electrical and electronic engineering, artificial intelligence, computer networks and communications, aerospace engineering, and computational mechanics.

The primary topics of Yuanming Shi's research encompass advanced wireless communication technologies, privacy-preserving technologies in data, indoor and outdoor localization technologies, advanced MIMO systems optimization, wireless communication security techniques, sparse and compressive sensing techniques, and stochastic gradient optimization techniques.

Yuanming Shi has contributed to various publication venues. Frequent outlets include arXiv (Cornell University), IEEE Transactions on Wireless Communications, IEEE Internet of Things Journal, IEEE Transactions on Communications, and IEEE Journal on Selected Areas in Communications.

Selected recent papers authored or co-authored by Yuanming Shi include:

  • Communication-Efficient Edge AI: Algorithms and Systems, 2020, IEEE Communications Surveys & Tutorials
  • Federated Learning via Over-the-Air Computation, 2020, IEEE Transactions on Wireless Communications
  • Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications, 2021, IEEE Journal on Selected Areas in Communications
  • Reconfigurable-Intelligent-Surface Empowered Wireless Communications: Challenges and Opportunities, 2021, IEEE Wireless Communications
  • Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical Analysis, 2020, IEEE Journal on Selected Areas in Communications

Yuanming Shi collaborates frequently with several researchers, including Yong Zhou, Khaled B. Letaief, Youlong Wu, Chunxiao Jiang, and Dingzhu Wen, reflecting ongoing partnerships within the wireless communications research community.

In addition to research articles, Yuanming Shi has contributed to academic book publications. Notably, a book titled Federated Edge Learning is scheduled for publication by Springer International Publishing in 2025.

Best Publications

  • The Roadmap to 6G: AI Empowered Wireless Networks

    Khaled B. Letaief;Wei Chen;Yuanming Shi;Jun Zhang

  • Federated Learning via Over-the-Air Computation

    Kai Yang;Tao Jiang;Yuanming Shi;Zhi Ding

  • Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications

    Khaled B. Letaief;Yuanming Shi;Jianmin Lu;Jianhua Lu

  • Group Sparse Beamforming for Green Cloud-RAN

    Yuanming Shi;Jun Zhang;Khaled B. Letaief

  • Communication-Efficient Edge AI: Algorithms and Systems

    Yuanming Shi;Kai Yang;Tao Jiang;Jun Zhang

  • Reconfigurable-Intelligent-Surface Empowered Wireless Communications: Challenges and Opportunities

    Xiaojun Yuan;Ying-Jun Angela Zhang;Yuanming Shi;Wenjing Yan

  • Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical Analysis

    Yifei Shen;Yuanming Shi;Jun Zhang;Khaled B. Letaief

  • Intelligent Reflecting Surface for Downlink Non-Orthogonal Multiple Access Networks

    Min Fu;Yong Zhou;Yuanming Shi

  • Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface

    Kai Yang;Yuanming Shi;Yong Zhou;Zhanpeng Yang

  • Over-the-Air Computation via Intelligent Reflecting Surfaces

    Tao Jiang;Yuanming Shi

  • Reconfigurable Intelligent Surface Empowered Downlink Non-Orthogonal Multiple Access

    Min Fu;Yong Zhou;Yuanming Shi;Khaled B. Letaief

  • Task-Oriented Communications for 6G: Vision, Principles, and Technologies

    Unknown

  • Gradient and Channel Aware Dynamic Scheduling for Over-the-Air Computation in Federated Edge Learning Systems

    Unknown

  • Federated Learning via Intelligent Reflecting Surface

    Zhibin Wang;Jiahang Qiu;Yong Zhou;Yuanming Shi

  • Interference Management for Over-the-Air Federated Learning in Multi-Cell Wireless Networks

    Unknown

  • LORM: Learning to Optimize for Resource Management in Wireless Networks With Few Training Samples

    Yifei Shen;Yuanming Shi;Jun Zhang;Khaled B. Letaief

  • Large-Scale Convex Optimization for Dense Wireless Cooperative Networks

    Yuanming Shi;Jun Zhang;Brendan O'Donoghue;Khaled B. Letaief

  • Trustworthy Federated Learning via Blockchain

    Unknown

  • Large-scale convex optimization for ultra-dense cloud-RAN

    Yuanming Shi;Jun Zhang;Khaled B. Letaief;Bo Bai

  • Wireless-Powered Over-the-Air Computation in Intelligent Reflecting Surface-Aided IoT Networks

    Zhibin Wang;Yuanming Shi;Yong Zhou;Haibo Zhou

  • A Graph Neural Network Approach for Scalable Wireless Power Control

    Yifei Shen;Yuanming Shi;Jun Zhang;Khaled B. Letaief

  • Smoothed $L_p$ -Minimization for Green Cloud-RAN With User Admission Control

    Yuanming Shi;Jinkun Cheng;Jun Zhang;Bo Bai

  • A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression

    Kai Yang;Tao Fan;Tianjian Chen;Yuanming Shi

  • Federated Learning via Intelligent Reflecting Surface

    Zhibin Wang;Jiahang Qiu;Yong Zhou;Yuanming Shi

Frequent Co-Authors

Khaled Ben Letaief
Khaled Ben Letaief Hong Kong University of Science and Technology
Jun Zhang
Jun Zhang Hong Kong University of Science and Technology
Wei Chen
Wei Chen Tsinghua University
Zhi Ding
Zhi Ding University of California, Davis
Ting Wang
Ting Wang Washington University in St. Louis
Xiaojun Yuan
Xiaojun Yuan University of Electronic Science and Technology of China
Laurent Kneip
Laurent Kneip ShanghaiTech University
Wei Yu
Wei Yu University of Toronto
Rui Zhang
Rui Zhang National University of Singapore
Ning Zhang
Ning Zhang University of Windsor

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