Zhizhong Xing
Papers
3
Total Citations
84
H-Index
2
About
Zhizhong Xing is a leading researcher at the intersection of intelligent environmental perception, deep learning, and human–computer interaction, with a primary focus on solving real-world challenges in underground mining, home rehabilitation, and biosensor-based systems. His most impactful work, “Coal resources under carbon peak: Segmentation of massive laser point clouds for coal mining in underground dusty environments using integrated graph deep learning model” (78 citations), introduces a novel graph-based deep learning framework that enables robust point cloud segmentation in harsh, low-visibility mining conditions—a critical contribution to safe and efficient coal extraction under carbon peak constraints. Xing also advances assistive technology through a lightweight indoor object detection model that leverages joint attention and prior knowledge for unstructured home rehabilitation scenes, and pioneers noncontact hand function rehabilitation by integrating 3-D deep learning for hand point cloud segmentation to enhance biosensor-based human–computer interaction. His work bridges the gap between complex environmental perception and practical deployment in dusty, unstructured, or aging-population contexts. With over 80 combined citations and a clear trajectory toward scalable, real-time intelligent systems, Xing’s research is shaping the future of autonomous sensing in hazardous and healthcare environments.
Research Focus
Key Achievements
Top Papers
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