Jiangxin Yang

Zhejiang University, Communication University of Zhejiang

Papers

Total Citations

183

H-Index

About

Jiangxin Yang is a leading researcher at the intersection of computer vision, sensor fusion, and precision manufacturing. His work focuses on overcoming fundamental limitations in sensing and assembly, with major contributions to infrared imaging enhancement and 3D thermographic reconstruction. Yang pioneered cascaded deep network architectures with multiple receptive fields to super-resolve low-cost, low-resolution infrared detectors—a breakthrough with direct applications in night vision, surveillance, and robotics. His most cited paper (103 citations) demonstrates how deep learning can circumvent the high cost of manufacturing high-resolution infrared sensors. In parallel, Yang developed robust methods for fusing depth and thermal sensor data to create real-time, mobile 3D thermographic models, achieving 53 citations for its impact on medical imaging, energy auditing, and intelligent robotics. He has also advanced precision engineering by combining Jacobian models with skin model shapes for assembly tolerance analysis (27 citations), improving manufacturing quality control. Yang’s interdisciplinary work—spanning deep learning, sensor fusion, and mechanical tolerancing—has established him as a versatile innovator whose methods are widely adopted across defense, industrial, and consumer applications.