Yunsong Lei

University of Chinese Academy of Sciences, Chinese Academy of Sciences

Papers

Total Citations

H-Index

About

Yunsong Lei is a rising star in computational optics and imaging, whose work pushes the boundaries of what cameras can see—literally around corners and through scattering media. His research centers on multi-dimensional imaging and non-line-of-sight (NLOS) reconstruction, where he develops novel optical systems and algorithms to capture information beyond conventional limits. In his highly cited 2022 work, Lei introduced a "snapshot multi-dimensional computational imaging" system using a liquid crystal diffuser, enabling simultaneous capture of intensity, depth, polarimetric, and spectral data without moving parts—a breakthrough for medical imaging, robotics, and surveillance. His 2024 paper on "Vectorial Digitelligent Optics" tackles the complex inverse problem of NLOS imaging, achieving high-resolution reconstruction of hidden objects without requiring ultrafast time-resolved detectors. This work, already garnering 26 citations, demonstrates his ability to simplify traditionally hardware-intensive problems through intelligent optical design. Lei’s contributions are notable for their practical impact: by eliminating mechanical components and reducing system complexity, he brings advanced computational imaging closer to real-world deployment. His growing citation record reflects the field’s recognition of his innovative approach to seeing the unseen.