Yuxin Jin

Nanyang Technological University, Tsinghua University

Papers

Total Citations

H-Index

About

Yuxin Jin’s research bridges construction automation and human-computer interaction, with a focus on visual monitoring and gesture recognition. In their most cited work, “Platform-independent visual installation progress monitoring for construction automation” (2023, 22 citations), Jin introduced a novel approach to automatically track and verify construction progress using computer vision, addressing a critical need for efficiency and accuracy in modern building projects. This contribution has already garnered attention from researchers seeking to integrate AI into construction management. Earlier, Jin tackled the challenging problem of recognizing multi-pose head gestures in natural human conversations (2007, 13 citations), moving beyond constrained human-robot interaction settings to develop methods that work with varied face poses and spontaneous motion. This work laid groundwork for more robust non-verbal communication analysis. Jin’s research demonstrates a versatility in applying computer vision across domains—from infrastructure to social interaction—and their publications reflect a commitment to solving real-world problems with practical, platform-independent solutions. With growing citation impact, Jin continues to influence both construction technology and affective computing communities.