Yi Shi

Yi Shi

Virginia Polytechnic Institute and State University

H-index: 49

North America-United States

About Yi Shi

Yi Shi, With an exceptional h-index of 49 and a recent h-index of 31 (since 2020), a distinguished researcher at Virginia Polytechnic Institute and State University, specializes in the field of Wireless network, wireless communication, machine learning, optimization, algorithm.

His recent articles reflect a diverse array of research interests and contributions to the field:

Modeling and Optimization of Channel Allocation for PAL and GAA Users in the CBRS Band

Distributed network control and link activation for multi-user MIMO communication

Deep Reinforcement Learning for NextG Radio Access Network Slicing with Spectrum Coexistence

Scale-MIA: A Scalable Model Inversion Attack against Secure Federated Learning via Latent Space Reconstruction

Adversarial Machine Learning: A New Threat Paradigm for Next-generation Wireless Communications

Securing NextG Systems against Poisoning Attacks on Federated Learning: A Game-Theoretic Solution

Jamming attacks on decentralized federated learning in general multi-hop wireless networks

Deep reinforcement learning for 5G radio access network slicing with spectrum coexistence

Yi Shi Information

University

Position

___

Citations(all)

10241

Citations(since 2020)

3475

Cited By

8271

hIndex(all)

49

hIndex(since 2020)

31

i10Index(all)

121

i10Index(since 2020)

61

Email

University Profile Page

Virginia Polytechnic Institute and State University

Google Scholar

View Google Scholar Profile

Yi Shi Skills & Research Interests

Wireless network

wireless communication

machine learning

optimization

algorithm

Top articles of Yi Shi

Title

Journal

Author(s)

Publication Date

Modeling and Optimization of Channel Allocation for PAL and GAA Users in the CBRS Band

IEEE Transactions on Cognitive Communications and Networking

Naru Jai

Yi Shi

Shaoran Li

Chengzhang Li

Y Thomas Hou

...

2023/9/22

Distributed network control and link activation for multi-user MIMO communication

2023/7/18

Deep Reinforcement Learning for NextG Radio Access Network Slicing with Spectrum Coexistence

IEEE Networking Letters

Yi Shi

Maice Costa

Tugba Erpek

Yalin E Sagduyu

2023/6/9

Scale-MIA: A Scalable Model Inversion Attack against Secure Federated Learning via Latent Space Reconstruction

arXiv preprint arXiv:2311.05808

Shanghao Shi

Ning Wang

Yang Xiao

Chaoyu Zhang

Yi Shi

...

2023/11/10

Adversarial Machine Learning: A New Threat Paradigm for Next-generation Wireless Communications

Yalin E Sagduyu

Yi Shi

Tugba Erpek

William Headley

Bryse Flowers

...

2023/6/5

Securing NextG Systems against Poisoning Attacks on Federated Learning: A Game-Theoretic Solution

Yalin E Sagduyu

Tugba Erpek

Yi Shi

2023/10/30

Jamming attacks on decentralized federated learning in general multi-hop wireless networks

Yi Shi

Yalin E Sagduyu

Tugba Erpek

2023/5/20

Deep reinforcement learning for 5G radio access network slicing with spectrum coexistence

Authorea Preprints

Yi Shi

Parisa Rahimzadeh

Maice Costa

Tugba Erpek

Yalin E Sagduyu

2023/10/30

An optimal wireless transmission strategy based on coherent beamforming and successive interference cancellation

Wireless Networks

Lei Shi

Zhehao Li

Yi Shi

Yuqi Fan

Zhenchun Wei

...

2022/1/1

Joint CB and SIC technology to optimize throughput and cost under IoV

IEEE Transactions on Vehicular Technology

Lei Shi

Lan Wu

Yi Shi

Yuqi Fan

Juan Xu

...

2022/5/19

NOMA-Based Task Offloading and Allocation in Vehicular Edge Computing Networks

Shuangliang Zhao

Lei Shi

Yi Shi

Fei Zhao

Yuqi Fan

2022/10/15

How to Attack and Defend NextG Radio Access Network Slicing with Reinforcement Learning

IEEE Open Journal of Vehicular Technology

Yi Shi

Yalin E Sagduyu

Tugba Erpek

M Cenk Gursoy

2022/12/14

Deep Learning for Spectrum Awareness and Covert Communications via Unintended RF Emanations

Michael Hegarty

Yalin E Sagduyu

Tugba Erpek

Yi Shi

2022/5/19

An Energy-Saving Strategy for 5G Base Stations in Vehicular Edge Computing

Fei Zhao

Lei Shi

Yi Shi

Shuangliang Zhao

Zengwei Lv

2022/10/15

How to Launch Jamming Attacks on Federated Learning in NextG Wireless Networks

Yi Shi

Yalin E Sagduyu

2022/12/4

Membership inference attack and defense for wireless signal classifiers with deep learning

IEEE Transactions on Mobile Computing

Yi Shi

Yalin Sagduyu

2022/2/7

Jamming Attacks on NextG Radio Access Network Slicing with Reinforcement Learning

Yi Shi

Yalin E Sagduyu

Tugba Erpek

M Cenk Gursoy

2022/10/10

Sensing-Throughput Tradeoffs with Generative Adversarial Networks for NextG Spectrum Sharing

Yi Shi

Yalin E Sagduyu

2022/11/28

Jamming Attacks on Federated Learning in Wireless Networks

arXiv preprint arXiv:2201.05172

Yi Shi

Yalin E Sagduyu

2022/1/13

Task offloading strategy to maximize task completion rate in heterogeneous edge computing environment

Computer Networks

Zhehao Li

Lei Shi

Yi Shi

Zhenchun Wei

Yang Lu

2022/6/19

See List of Professors in Yi Shi University(Virginia Polytechnic Institute and State University)

Co-Authors

H-index: 149
Xuemin (Sherman) Shen

Xuemin (Sherman) Shen

University of Waterloo

H-index: 86
Wenjing Lou

Wenjing Lou

Virginia Polytechnic Institute and State University

H-index: 83
Hanif D. Sherali

Hanif D. Sherali

Virginia Polytechnic Institute and State University

H-index: 74
Thomas Hou

Thomas Hou

Virginia Polytechnic Institute and State University

H-index: 58
Lin Cai

Lin Cai

University of Victoria

H-index: 48
Jianping Pan

Jianping Pan

University of Victoria

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