Zheng Shi

施政

Ph.D. Student, University of Georgia

佐治亚大学博士生

I am a Ph.D. student at the University of Georgia, jointly advised by Dr. Zhenlin An and Dr. Haijian Sun.
I received my B.E. degree in Communication Engineering from Shandong University, Qingdao, China, advised by Prof. Yanni Yang. Meanwhile, I was also a member of Innovation College.
My research interests include wireless sensing, mobile computing, wireless communication, AI-native wireless, and neural transceivers.

我目前是佐治亚大学(University of Georgia)博士生,由 Zhenlin An 博士Haijian Sun 博士 联合指导。
此前,我于中国山东大学崇新学堂获得通信工程学士学位,由 Yanni Yang 教授 指导。
我的研究兴趣包括无线感知、移动计算、无线通信、AI-native wireless 和神经收发机(neural transceiver)。


Education教育经历
  • University of Georgia
    Ph.D. Student
    2025 - Present
  • Shandong University
    Shandong University
    B.E. in Communication Engineering
    Sep. 2021 - Jul. 2025
  • 佐治亚大学
    博士生
    2025 年至今
  • 山东大学
    山东大学
    通信工程学士
    2021 年 9 月 - 2025 年 7 月
Honors & Awards荣誉奖项
  • First Prize of Undergraduate Intelligent Vehicle Competition National (1%)
    2023
  • Third Prize of Shandong University Academic Award Scholarship
    2022
  • First Prize of Shandong University Academic Award Scholarship
    2021
  • 全国大学生智能汽车竞赛一等奖(前 1%)
    2023
  • 山东大学学业奖学金三等奖
    2022
  • 山东大学学业奖学金一等奖
    2021
News最新动态
2025
Our paper: MetaRFence: Protecting Human Motion Privacy Against RFID Sensing via Metasurface was accepted by IEEE TMC
Dec 31
2024
Our paper: RFnoID: Protecting RFID Motion Privacy via Metasurface was accepted by IEEE INFOCOM 2025
Dec 06
Our paper: Wireless Eavesdropping on Wired Audio with Radio-frequency Retroreflector Attack was accepted by IEEE TMC
Nov 19
Selected Publications精选论文 (view all查看全部 )
MetaRFence: Protecting Human Motion Privacy Against RFID Sensing via Metasurface
MetaRFence: Protecting Human Motion Privacy Against RFID Sensing via Metasurface

Zheng Shi, Zikai Ding, Yanni Yang, Zhenlin An, Runyu Pan, Yanling Bu, Guoming Zhang, Pengfei Hu, Jiannong Cao

IEEE Transactions on Mobile Computing (TMC) 2026

We present a metasurface-based RFID sensing defence (MetaRFence), the first system designed to protect human motion privacy against adversarial through-wall RFID sensing.

MetaRFence: Protecting Human Motion Privacy Against RFID Sensing via Metasurface
MetaRFence: Protecting Human Motion Privacy Against RFID Sensing via Metasurface

Zheng Shi, Zikai Ding, Yanni Yang, Zhenlin An, Runyu Pan, Yanling Bu, Guoming Zhang, Pengfei Hu, Jiannong Cao

IEEE Transactions on Mobile Computing (TMC) 2026

We present a metasurface-based RFID sensing defence (MetaRFence), the first system designed to protect human motion privacy against adversarial through-wall RFID sensing.

RFnoID: Protecting RFID Motion Privacy via Metasurface
RFnoID: Protecting RFID Motion Privacy via Metasurface

Yanni Yang, Zheng Shi, Zhenlin An, Runyu Pan, Yanling Bu, Guoming Zhang, Pengfei Hu, Jiannong Cao

IEEE International Conference on Computer Communications (INFOCOM 2025)

We propose RFNOID, the frst system that can protect human motion privacy against adversarial throughwall RFID sensing.

RFnoID: Protecting RFID Motion Privacy via Metasurface
RFnoID: Protecting RFID Motion Privacy via Metasurface

Yanni Yang, Zheng Shi, Zhenlin An, Runyu Pan, Yanling Bu, Guoming Zhang, Pengfei Hu, Jiannong Cao

IEEE International Conference on Computer Communications (INFOCOM 2025)

We propose RFNOID, the frst system that can protect human motion privacy against adversarial throughwall RFID sensing.

Wireless Eavesdropping on Wired Audio with Radio-frequency Retroreflector Attack
Wireless Eavesdropping on Wired Audio with Radio-frequency Retroreflector Attack

Genglin Wang, Zheng Shi, Yanni Yang, Zhenlin An, Guoming Zhang, Pengfei Hu, Xiuzhen Cheng, Jiannong Cao.

IEEE Transactions on Mobile Computing (TMC) 2024

We present RF-Parrot2, a novel attack that enables a wireless attacker to eavesdrop on wired audio signals by exploiting a simple yet effective retroreflector.

Wireless Eavesdropping on Wired Audio with Radio-frequency Retroreflector Attack
Wireless Eavesdropping on Wired Audio with Radio-frequency Retroreflector Attack

Genglin Wang, Zheng Shi, Yanni Yang, Zhenlin An, Guoming Zhang, Pengfei Hu, Xiuzhen Cheng, Jiannong Cao.

IEEE Transactions on Mobile Computing (TMC) 2024

We present RF-Parrot2, a novel attack that enables a wireless attacker to eavesdrop on wired audio signals by exploiting a simple yet effective retroreflector.

All publications全部论文
Selected Projects精选项目 (view all查看全部 )
High-Speed Mobile Unmanned Vehicles Based on ROS Architecture
High-Speed Mobile Unmanned Vehicles Based on ROS Architecture

Zheng Shi*, Yuxin Cui*, Yuan Zhang*, Liding Xu* (* equal contribution)

We designed the software system of a ROS car and won the national frst prize in the Undergraduate Intelligent Vehicle Competition

High-Speed Mobile Unmanned Vehicles Based on ROS Architecture
High-Speed Mobile Unmanned Vehicles Based on ROS Architecture

Zheng Shi*, Yuxin Cui*, Yuan Zhang*, Liding Xu* (* equal contribution)

We designed the software system of a ROS car and won the national frst prize in the Undergraduate Intelligent Vehicle Competition

Design of Electronic Perpetual Calendar Based on ESP32
Design of Electronic Perpetual Calendar Based on ESP32

Zheng Shi

I designed a calendar based on esp32, implemented embedded development using Arduino framework and LVGL library, and developed a mobile application using App Inventor and MQTT protocol.

Design of Electronic Perpetual Calendar Based on ESP32
Design of Electronic Perpetual Calendar Based on ESP32

Zheng Shi

I designed a calendar based on esp32, implemented embedded development using Arduino framework and LVGL library, and developed a mobile application using App Inventor and MQTT protocol.

Labyrinth Smart Car
Labyrinth Smart Car

Zheng Shi*, Hao Liu*, Yuan Zhang*, Yi Chi* (* equal contribution)

We designed and implemented an intelligent vehicle system on Python 3.6 platform, implenmented systems for stable driving and collision avoidance.

Labyrinth Smart Car
Labyrinth Smart Car

Zheng Shi*, Hao Liu*, Yuan Zhang*, Yi Chi* (* equal contribution)

We designed and implemented an intelligent vehicle system on Python 3.6 platform, implenmented systems for stable driving and collision avoidance.

All projects全部项目