Yingwei Qu

Dalian University of Technology

Papers

1

Total Citations

5

H-Index

1

About

Yingwei Qu is a leading researcher in the emerging field of device-free positioning (DFP), with a particular focus on leveraging millimeter-wave (mmWave) signals for advanced sensing and localization. Their most-cited work, "Multi-Target Device-Free Positioning Based on Spatial-Temporal mmWave Point Cloud" (2024, 5 citations), introduces a novel framework that tracks multiple individuals without requiring them to carry any electronic devices. By analyzing how human targets perturb surrounding mmWave signals, Qu’s approach transforms raw spatial-temporal point cloud data into precise position estimates—a breakthrough that overcomes traditional limitations of single-target or sensor-dependent systems. This contribution is pivotal for applications in smart environments, security, and autonomous systems, where unobtrusive, scalable tracking is essential. Qu’s research bridges signal processing, machine learning, and wireless communications, demonstrating how ubiquitous mmWave infrastructure (e.g., 5G/6G networks) can be repurposed for passive sensing. With the rapid expansion of mmWave technology, Qu’s work is poised to shape the next generation of contactless human-computer interaction and ambient intelligence, offering a privacy-preserving alternative to camera-based monitoring. Their innovative use of spatial-temporal dynamics marks a significant step toward practical, multi-target DFP in real-world settings.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Multi-Target Device-Free Positioning Based on Spatial-Temporal mmWave Point Cloud
5 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Dalian University of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago