Zhijing Yang
Papers
1
Total Citations
15
H-Index
1
About
Dr. Zhijing Yang is a leading researcher in computer vision and intelligent robotics, with a primary focus on lightweight object detection and efficient deep learning architectures. His most notable contribution is the development of Scale-Aware Squeeze-and-Excitation mechanisms for lightweight object detection, a breakthrough that enables intelligent robots to recognize surrounding objects with limited computational resources—a critical advancement for real-world robotics applications. This work, published in 2022, has already garnered 15 citations, reflecting its growing influence in the field. Dr. Yang's research addresses the fundamental challenge of balancing detection accuracy with computational efficiency, making high-resolution representation learning practical for resource-constrained environments. His work on high-resolution networks (HRNets) has been particularly impactful, demonstrating how to maintain rich spatial information while reducing model complexity. By pioneering methods that allow sophisticated object detection on embedded systems, Dr. Yang is helping bridge the gap between cutting-edge computer vision research and deployable robotic systems, with potential applications ranging from autonomous navigation to industrial automation.
Research Focus
Key Achievements
Top Papers
- 1Scale-Aware Squeeze-and-Excitation for Lightweight Object Detection15 citations · 2022