Zhiliang Deng

Nanjing University of Information Science and Technology

Papers

Total Citations

H-Index

About

Zhiliang Deng is a leading researcher in marine robotics and intelligent underwater perception, with a primary focus on advancing autonomous detection systems for aquatic environments. His most cited work, "A Marine Object Detection Algorithm Based on SSD and Feature Enhancement" (2020, 49 citations), addresses a critical challenge in underwater robotics: the accurate detection of sea urchins, a key target for future autonomous fishing operations. Deng’s major contribution lies in enhancing the classical Single-Shot MultiBox Detector (SSD) algorithm through innovative feature enhancement techniques, significantly improving detection precision in complex, low-visibility underwater conditions. This work not only demonstrates his expertise in computer vision and deep learning but also directly supports the development of efficient, robot-driven aquaculture and marine resource management. With growing recognition in the field, Deng’s research bridges the gap between theoretical algorithm design and practical marine applications, offering scalable solutions for underwater object detection. His achievements highlight a commitment to sustainable technology, positioning him as a pivotal figure in the evolution of autonomous marine systems.