Longzhi Yuan

Currently, I am a Ph.D. student under the supervision of Prof. Wei Gong at the School of Data Science, University of Science and Technology of China (USTC). Before that, I received the B.E. degree in Electronic & Information Engineering from USTC in 2017. Also I am appreciated to spend great two years with Prof. Weidong Chen during 2017-2019.

My research focuses on wireless networks and Internet-of-Things. I worked to develop low-power backscatter communication systems, improve their throughputs, and make them compatible with commercial radios.

Recent News:

  • Our recent work Multiprotocol Backscatter with Commodity Radios for Personal IoT Sensors is accepted to IEEE/ACM Transactions on Networking.
  • Our recent work SubScatter: Sub-symbol WiFi Backscatter for High Throughput is accepted to IEEE ICNP 2022.
  • Our recent work Content-Agnostic Backscatter from Thin Air is accepted to ACM MobiSys 2022.
  • Our recent work Embracing Self-Powered Wireless Wearables for Smart Healthcare is accepted to IEEE PerCom 2021.

Main Publications:

SubScatter: Sub-symbol WiFi Backscatter for High Throughput

Longzhi Yuan, Wei Gong

IEEE ICNP, 2022
[paper]

Content-Agnostic Backscatter from Thin Air

Yifan Yang, Longzhi Yuan, Jia Zhao, Wei Gong

ACM MobiSys, 2022
[paper]

Embracing Self-Powered Wireless Wearables for Smart Healthcare

Longzhi Yuan, Can Xiong, Si Chen, Wei Gong

IEEE PerCom, 2021
[paper]

Multiprotocol Backscatter for Personal IoT Sensors

Wei Gong, Longzhi Yuan, Qiwei Wang, Jia Zhao

ACM CoNEXT, 2020
[paper]

Other Publications:

  • [IEEE/ACM TON'22] Longzhi Yuan, Qiwei Wang, Jia Zhao, Wei Gong. Multiprotocol Backscatter With Commodity Radios for Personal IoT Sensors.[paper]
  • [IEEE/CIC ICCC'20] Longzhi Yuan, Rongrong Zhang, Kai Yang, Jianping An, Si Chen, Wei Gong. Protocol-Aware Backscatter Communication Using Commodity Radios.[paper]
  • [Elsevier Computer Networks'22] Weiqi Wu, Xingfu Wang, Ammar Hawbani, Longzhi Yuan, Wei Gong. A survey on ambient backscatter communications: Principles, systems, applications, and challenges.[paper]
  • [MDPI Applied Sciences'22] Yimeng Huang, Longzhi Yuan, Wei Gong. Research on IEEE 802.11 OFDM Packet Detection Algorithms for Household Wireless Sensor Communication.[paper]
  • [ACM ICSPS'17] Yuming Shao, Yulong Dai, Longzhi Yuan, Weidong Chen. Deep Learning Methods for Personnel Recognition based on MicroDoppler Features.[paper]

Awards:

  • Best Paper Award, IEEE/CIC ICCC, 2020
  • Student Travel Grant Award, ACM MobiSys, 2022
  • Jac Weilai Automobile Scholarship, 2022, USTC
  • Excellent student scholarship (Bronze), 2014, 2016, USTC

Services:

Invited Reviewer:
  • IEEE Transactions on Networking, 2022

Contact:

  • longzhi@mail.ustc.edu.cn
  • School of Data Science, University of Science and Technology of China