Biography

Qijun Wang is a PhD student in the Intelligent Networking and Sensing Systems Lab at Michigan State University, where he works with Dr. Huacheng Zeng on wireless sensing, RF systems, and AI-assisted sensing.

Research Interests

Qijun's research focuses on building AI-assisted wireless sensing systems that enable passive and battery-free devices to capture rich physical signals beyond traditional communication. His work spans wireless sensing, RF systems, backscatter communication, and artificial intelligence, with applications in voice sensing, localization, tracking, and security.

He has authored multiple first-authored papers in top-tier venues, including IEEE S&P, UbiComp, and IEEE INFOCOM. His recent work, RadKey, IEEE S&P 2026, introduces an LLM-guided RF backscatter system for through-wall keystroke inference, highlighting the potential of wireless systems to sense subtle physical dynamics in challenging environments.

Selected Publications

Honors and Awards

  • 2025, Honorable Mention Recognition (Top 5%), ACM CHI
  • 2015 -- 2018, China National Scholarship (highest national scholarship), three consecutive years
  • 2017 -- 2018, Tianjin Wang Kechang Scholarship
  • 2015 -- 2018, First-Class Scholarship, CAUC, three consecutive years
  • 2015 -- 2016, Excellent College Student, CAUC
  • 2016 -- 2018, Outstanding College Student Cadre, CAUC, two consecutive years

Teaching Experience

  • Teaching Assistant: CSE 422 - Computer Networks (MSU)

Professional Services

  • Technical Program Committee Member
  • IEEE INFOCOM 2023, 2024, 2025, 2026 - Poster and Demo Session
  • Journal Review
  • IEEE Transactions on Wireless Communications