Papers
3
Total Citations
75
H-Index
2
About
Yinghao Liu is a rising researcher at the intersection of soft robotics and surgical AI, with work spanning biomimetic materials and computer-assisted intervention. His most impactful contribution is the development of a NIR–UV responsive actuator using a graphene oxide/microchannel-induced liquid crystal bilayer structure (2020, 69 citations). This work introduced a simple fabrication method that enables exquisite programming of molecular alignment, leveraging mismatched thermal expansion to create multistimulus-responsive soft actuators for biomimetic devices—a significant step toward lifelike artificial muscles and smart surfaces. In the surgical domain, Liu has advanced laparoscopic vision through stereo matching techniques. His 2024 paper on laparoscopic stereo matching using 3D Fourier transforms with full multi-scale features (4 citations) and the subsequent MCF-SMSIS framework (2 citations) demonstrate a multi-tasking approach that simultaneously handles depth estimation and instrument segmentation. While these surgical AI papers are early in their citation lifecycle, they signal Liu’s growing versatility. His work bridges fundamental materials science with practical medical robotics, positioning him as a researcher capable of tackling challenges from molecular alignment to real-time surgical scene understanding.
Research Focus
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Top Papers
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