World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
10805
World Ranking
5081
National Ranking
2355

Electronics and Electrical Engineering

D-Index
52
Citations
10688
World Ranking
2520
National Ranking
963

Overview

Yi Shi is affiliated with Virginia Tech in the United States and has an extensive publication record primarily in computer science and engineering. The research work spans over key areas in artificial intelligence, electrical and electronic engineering, and computer networks and communications, reflecting a multidisciplinary approach to wireless communications and machine learning.

The scientist's research focuses on topics including:

  • Wireless Signal Modulation Classification
  • IoT and Edge/Fog Computing
  • Adversarial Robustness in Machine Learning
  • Advanced MIMO Systems Optimization
  • Wireless Communication Security Techniques
  • Network Security and Intrusion Detection
  • Privacy-Preserving Technologies in Data

Yi Shi has published numerous papers, with selected notable works including:

  • "Generative Adversarial Network in the Air: Deep Adversarial Learning for Wireless Signal Spoofing," 2020, IEEE Transactions on Cognitive Communications and Networking
  • "When Wireless Security Meets Machine Learning: Motivation, Challenges, and Research Directions," 2020, arXiv (Cornell University)
  • "How to Attack and Defend NextG Radio Access Network Slicing With Reinforcement Learning," 2022, IEEE Open Journal of Vehicular Technology
  • "Membership Inference Attack and Defense for Wireless Signal Classifiers With Deep Learning," 2022, IEEE Transactions on Mobile Computing

The venues where Yi Shi frequently publishes include:

  • arXiv (Cornell University)
  • International Journal of Legal Medicine
  • IEEE Transactions on Cognitive Communications and Networking
  • SSRN Electronic Journal
  • IEEE Open Journal of the Communications Society

Collaboration is a strong aspect of Yi Shi's research profile, with frequent co-authors such as:

  • Yalin E. Sagduyu
  • Tugba Erpek
  • Lei Shi
  • Yuqi Fan
  • Wenjing Lou

The body of work by Yi Shi incorporates methodologies combining deep learning and machine learning techniques with wireless signal processing and communication systems. The research involves addressing challenges related to security threats in wireless networks, including adversarial attacks and defenses, as well as privacy-preserving mechanisms.

Yi Shi's contributions have been documented across more than 100 publications, underscoring sustained activity in both theoretical and applied advancements within wireless communications and machine learning fields.

Best Publications

  • Topology control for wireless sensor networks

    Jianping Pan;Y. Thomas Hou;Lin Cai;Yi Shi

  • Wireless power transfer and applications to sensor networks

    Liguang Xie;Yi Shi;Y. T. Hou;Andwenjing Lou

  • On energy provisioning and relay node placement for wireless sensor networks

    Y.T. Hou;Yi Shi;H.D. Sherali;S.F. Midkiff

  • Making sensor networks immortal: an energy-renewal approach with wireless power transfer

    Liguang Xie;Yi Shi;Y. Thomas Hou;Hanif D. Sherali

  • On renewable sensor networks with wireless energy transfer

    Yi Shi;Liguang Xie;Y. Thomas Hou;Hanif D. Sherali

  • Spectrum Sharing for Multi-Hop Networking with Cognitive Radios

    Y.T. Hou;Yi Shi;H.D. Sherali

  • Optimal base-station locations in two-tiered wireless sensor networks

    J. Pan;L. Cai;Y.T. Hou;Y. Shi

  • Deep Learning for Launching and Mitigating Wireless Jamming Attacks

    Tugba Erpek;Yalin E. Sagduyu;Yi Shi

  • A Distributed Optimization Algorithm for Multi-Hop Cognitive Radio Networks

    Yi Shi;Y.T. Hou

  • Optimal Spectrum Sharing for Multi-Hop Software Defined Radio Networks

    Y.T. Hou;Yi Shi;H.D. Sherali

  • Multi-node wireless energy charging in sensor networks

    Liguang Xie;Yi Shi;Y. Thomas Hou;Wenjing Lou

  • Optimal relay assignment for cooperative communications

    Yi Shi;Sushant Sharma;Y. Thomas Hou;Sastry Kompella

  • Theoretical Results on Base Station Movement Problem for Sensor Network

    Yi Shi;Y.T. Hou

  • On renewable sensor networks with wireless energy transfer: The multi-node case

    Liguang Xie;Yi Shi;Y. Thomas Hou;Wenjing Lou

  • How to correctly use the protocol interference model for multi-hop wireless networks

    Yi Shi;Y. Thomas Hou;Jia Liu;Sastry Kompella

  • An optimal algorithm for relay node assignment in cooperative ad hoc networks

    Sushant Sharma;Yi Shi;Y. Thomas Hou;Sastry Kompella

  • Short-Term Operation Scheduling in Renewable-Powered Microgrids: A Duality-Based Approach

    Binyan Zhao;Yi Shi;Xiaodai Dong;Wenpeng Luan

  • Rate allocation in wireless sensor networks with network lifetime requirement

    Y. Thomas Hou;Yi Shi;Hanif D. Sherali

  • Deep Learning for Wireless Communications

    Tugba Erpek;Timothy J. O'Shea;Yalin E. Sagduyu;Yi Shi

  • Bundling mobile base station and wireless energy transfer: Modeling and optimization

    Liguang Xie;Yi Shi;Y. Thomas Hou;Wenjing Lou

  • Cooperative Communications in Multi-hop Wireless Networks: Joint Flow Routing and Relay Node Assignment

    Sushant Sharma;Yi Shi;Y. Thomas Hou;Hanif D. Sherali

Frequent Co-Authors

Y. Thomas Hou
Y. Thomas Hou Virginia Tech
Yalin E. Sagduyu
Yalin E. Sagduyu Virginia Tech
Sastry Kompella
Sastry Kompella United States Naval Research Laboratory
Wenjing Lou
Wenjing Lou Virginia Tech
Scott F. Midkiff
Scott F. Midkiff Virginia Tech
Jianping Pan
Jianping Pan University of Victoria
Lin Cai
Lin Cai Illinois Institute of Technology
Jeffrey H. Reed
Jeffrey H. Reed Virginia Tech
Aylin Yener
Aylin Yener The Ohio State University
Allen B. MacKenzie
Allen B. MacKenzie Tennessee Technological University

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