Kun Qian

Kun Qian

Assistant Professor

University of Virginia

Biography

I am an Assistant Professor in Department of Computer Science and a faculty member in Link Lab, at University of Virginia. Previously, I was a postdoctoral researcher at University of California San Diego, working with Professor Xinyu Zhang. I received my Ph.D. from Tsinghua University in 2019, under the supervision of Professor Yunhao Liu and Professor Zheng Yang. I also received my B.E. from Tsinghua University in 2014.

At UVA, I direct Winking (Wireless Intelligence & NetworKING) Lab. Our reasearch revolves around ambient intelligence and ubiquitous connectivity empowered by wireless technologies. We design wireless models, algorithms, and systems, with applications across a wide spectrum of physical-aware scenarios, including next-generation communication, smart IoT sensing, autonomous driving, and mobile computing.

News

  • 2025/04, SCR got accepted to MobiSys 2025. SCR allows mmWave FMCW radars to detect spoofing attacks and backscatter communication while retaining sensing capabilities.
  • 2025/02, RFScape got accepted to CVPR 2025. Congrats to Xingyu.
  • 2024/09, RFCanvas got accepted to SenSys 2024. Congrats to Xingyu.
  • 2024/08, Our research on generative channel cartography for Giga MIMO networks on the 6G upper mid-band is funded by NSF.
  • 2023/11, NeuroRadar won the Best Paper Award in SenSys 2023.
  • SEE ALL NEWS

Publications

Radio Frequency Ray Tracing with Neural Object Representation
RFCanvas: Modeling RF Channel by Fusing Visual Priors and Few-shot RF Measurements
KeyStub: A Passive RFID-based Keypad Interface Using Resonant Stubs
Metasight: High-Resolution NLoS Radar with Efficient Metasurface Encoding

Team

PhD Students

  • Shunqiang Feng (Sp 25)
  • Mohan Zhao (Sp 25)

Service

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)