Chao Wang 王超

Chao Wang 王超

Ph.D. Candidate

Zhejiang University

Chao Wang is currently a fifth-year PhD. Candidate in the College of Computer Science and Technology, Zhejiang University. His supervisor is Prof. Feng Lin (青年长江学者 Young Changjiang Scholar). His research interests include Wireless Sensing, Machine/Deep Learning, and IoT Security. He obtained his Bachelor’s degree from the College of Information Science and Electronic Engineering at Zhejiang University in 2019.

  • mmWave Sensing
  • Machine/Deep Learning
  • Mobile Computing
  • IoT Security
  • Ph.D. in Computer Science, 2019-present

    Zhejiang University

  • B.E. in Information Science and Electric Engineering, 2015-2019

    Zhejiang University

Recent Publications

(UIST'23) WavoID: Robust and Secure Multi-modal User Identification via mmWave-voice Mechanism
(TDSC'23) High-quality Speech Recovery Through Soundproof Protections via mmWave Sensing
(IEEE S&P'23) MagBackdoor: Beware of Your Loudspeaker as Backdoor of Magnetic Attack for Malicious Command Injection
(ToSN'23) Wavoice: A mmWave-assisted Noise-resistant Speech Recognition System
(TDSC'23) MotoPrint: Reconfigurable Vibration Motor Fingerprint via Homologous Signals Learning
(MobiCom'22) mmEve: Eavesdropping on Smartphone's Earpiece via COTS mmWave Device
(INFOCOM'22) mmPhone: Acoustic Eavesdropping on Loudspeakers via mmwave-characterized Piezoelectric Effect
(SenSys'21) Wavoice: A noise-resistant multi-modal speech recognition system fusing mmwave and audio signals
(IoTJ'21) G2F: A secure user authentication for rapid smart home IoT management

Granted Patents

(2023). Multimodal speech recognition method and system, and computer-readable storage medium. U.S. Patent Application No. 17/684,958.

(2022). Semantic information acquisition method and device, electronic equipment and storage medium. CN113221722B.

(2021). Centralized authentication system of Internet of Things equipment based on U2F physicaltoken. CN111585771B.



  • Python, MATLAB, C/C++, Verilog, Lua, LaTex

PCB Design

  • Altium Designer, KiCAD

Professional Services

Shadow PC Committee

  • ACM SenSys 2022


  • IEEE Transactions on Services Computing 2022