I will be joining the University of Virginia as an Assistant Professor in the Department of Computer Science and a member of the Cyber-Physical Systems Link Lab, starting in Spring 2024!

I am looking for self-motivated Ph.D. students to join my group. Find more details here if you are interested.

Kun Qian

Kun Qian

Postdoctoral Researcher

University of California San Diego

Biography

Kun Qian is currently a postdoctoral researcher at the Department of Electrical and Computer Engineering, University of California San Diego, working with Professor Xinyu Zhang. He received his Ph.D. from the School of Software at Tsinghua University in January 2019, under the supervision of Professor Yunhao Liu and Professor Zheng Yang. Before that, he received his B.E. in Software Engineering in 2014 from the School of Software at Tsinghua University.

Education
  • Ph.D. in Software Engineering, 2019

    Tsinghua University

  • B.E. in Software Engineering, 2014

    Tsinghua University

News

  • 2023/11, Our paper NeuroRadar won the Best Paper Award in ACM SenSys 2023.
  • 2023/10, Our paper KeyStub got accepted by ACM IMWUT/UbiComp 2024.
  • 2023/09, Our papers NeuroRadar and Metasight got conditionally accepted by ACM Sensys 2023.
  • 2022/12, Our paper SLNet got accepted by USENIX NSDI 2023.
  • 2022/11, Our paper UniScatter got conditionally accepted by ACM MobiCom 2023.
  • PAST NEWS

Publications

Metasight: High-Resolution NLoS Radar with Efficient Metasurface Encoding
NeuroRadar: A Neuromorphic Radar Sensor for Low-Power IoT Systems
UniScatter: a Metamaterial Backscatter Tag for Wideband Joint Communication and Radar Sensing
SLNet: A Spectrogram Learning Neural Network for Deep Wireless Sensing
MilliMirror: 3D Printed Reflecting Surface for Millimeter-Wave Coverage Expansion
3D Point Cloud Generation with Millimeter-Wave Radar
RoS: Passive Smart Surface for Roadside-to-Vehicle Communication
Widar3.0: Zero-Effort Cross-Domain Gesture Recognition with Wi-Fi
AIRCODE: Hidden Screen-Camera Communication on an Invisible and Inaudible Dual Channel

Awards

  • 2023/11, Best Paper Award, SenSys (1/179)
  • 2020/10, Best Paper Award, MobiCom (2/384)
  • 2018/05, Best In-Session Presentation Award, INFOCOM (1/4)
  • 2017/05, Honorable Mention Award, CHI (top 5% submission)
  • 2014/12, Best Paper Candidate, ICPADS (4/323)