Yuxin Peng

Papers

Total Citations

163

H-Index

About

Yuxin Peng is a researcher whose work spans computer vision, rehabilitation robotics, and human-centered intelligent systems, making significant contributions at the intersection of deep learning and assistive technology. Peng's most impactful contribution lies in the domain of person re-identification, where their 2023 paper on Deep Component Reconstruction for Cloth-Changing Person Re-ID (DCR-ReID) has garnered 91 citations, addressing one of the field's most challenging problems — accurately identifying individuals across long-term surveillance scenarios where clothing changes render traditional methods unreliable. This work has proven highly relevant to robotics, multimedia, and forensic applications. Beyond computer vision, Peng has demonstrated notable expertise in rehabilitation robotics. Their 2019 work on adaptive trajectory tracking control for a parallel ankle rehabilitation robot earned 54 citations, proposing innovative joint-space force distribution strategies for a redundantly actuated pneumatic system — a technically rigorous contribution to therapeutic device engineering. Complementing this, a 2020 study on subject-specific compliance control for upper-limb bilateral robotic systems reflects Peng's sustained commitment to personalized rehabilitation solutions. Together, these works paint the picture of a versatile researcher dedicated to advancing both intelligent perception systems and human-assistive technologies with real-world impact.