Shilong Xie
Papers
1
Total Citations
8
H-Index
1
About
Shilong Xie is a researcher at the forefront of applying deep learning to environmental sustainability, with a focused expertise in intelligent waste recognition and robotic localization. His most cited work, "Study on efficient recognition and accurate localization method of waste plastic bottles based on deep learning" (2025, 8 citations), tackles a critical bottleneck in circular economies: the automated sorting of recyclables by color and material value. Xie’s major contribution lies in developing a vision-based system that not only identifies waste plastic bottles with high efficiency but also pinpoints their spatial coordinates for precise robotic grasping—a fusion of computer vision and robotics that directly enhances recycling plant automation. By addressing the economic incentive of color-based sorting, his research bridges the gap between ecological necessity and industrial feasibility. Though early in its citation impact, this work signals a promising trajectory in sustainable AI, positioning Xie as an emerging voice in the intersection of deep learning and green manufacturing. His achievements underscore a commitment to turning computational innovation into tangible environmental solutions.
Research Focus
Key Achievements
Top Papers
- 1