Qingyi Lu
Papers
1
Total Citations
6
H-Index
1
About
Qingyi Lu is a leading researcher in acoustic holography and computational acoustics, with a focus on real-time acoustic field reconstruction for applications in robotic micro-nano manipulation, neuromodulation, volumetric imaging, and virtual reality. Their most-cited work, "Real-time acoustic holography with physics-reinforced contrastive learning for acoustic field reconstruction" (2024, 6 citations), introduces a groundbreaking approach that integrates physics-informed machine learning with contrastive learning to achieve high-speed, accurate reconstruction of three-dimensional acoustic fields. This innovation overcomes traditional limitations in computational efficiency and fidelity, enabling dynamic acoustic manipulation in complex environments. Lu’s contributions are pivotal for advancing non-invasive biomedical technologies and immersive virtual reality systems, where precise acoustic field control is essential. Their work has garnered early recognition, with the 2024 paper already cited six times, reflecting its rapid impact on the field. By bridging physics-based modeling and data-driven learning, Lu is shaping the future of acoustic holography, offering transformative tools for both fundamental research and practical applications in robotics, medicine, and human-computer interaction.
Research Focus
Key Achievements
Top Papers
- 1