Papers

2

Total Citations

36

H-Index

2

About

Hongya Geng is a rising researcher at the intersection of computer vision and intelligent sensing, whose work is redefining how machines perceive humans and the environment while prioritizing privacy and versatility. Geng’s core contributions span two transformative areas: privacy-preserving computer vision and advanced tactile sensing. In the former, Geng pioneered "image-free single-pixel keypoint detection" for human pose estimation, a breakthrough that achieves robust motion tracking without capturing identifiable human images—directly addressing critical privacy and data security concerns in surveillance, robotics, and identification. This highly cited 2024 work has already garnered 30 citations, signaling its immediate impact on ethical AI development. In parallel, Geng has advanced human-machine-environment interaction through the invention of a reconfigurable omnidirectional triboelectric whisker sensor array (2025). This novel sensing skin overcomes long-standing limitations in unit-level reconfiguration and multiaxial force detection, enabling unprecedented precision for versatile applications from prosthetics to smart environments. With both papers representing foundational steps toward safer, more adaptive interfaces, Geng’s research is poised to influence next-generation systems where privacy and sensory intelligence converge.

Research Focus

Key Achievements

2
H-Index
2
Papers
36
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Image-free single-pixel keypoint detection for privacy preserving human pose estimation
30 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Tsinghua–Berkeley Shenzhen Institute, University Town of Shenzhen

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago