Chang Li

Title: Chang Li: Innovator in Hyperspectral Data Analysis

Introduction

Chang Li is a prominent inventor based in Guangdong, China. He has made significant contributions to the field of intelligent manufacturing, particularly in the area of hyperspectral data analysis. With a total of 2 patents to his name, Chang Li is recognized for his innovative approaches and methodologies.

Latest Patents

One of Chang Li's latest patents is a lawn mower, which showcases his versatility as an inventor. Additionally, he has developed a semi-supervised hyperspectral data quantitative analysis method based on a generative adversarial network. This method involves acquiring hyperspectral sample data and constructing a sample training set and a prediction set. The process utilizes an unlabeled prediction set sample and incorporates a regression network based on a generative adversarial network. This network includes a generator that produces samples and a discriminator/regressor that assesses the authenticity of the samples while providing quantitative analysis values. The method aims to improve the accuracy of hyperspectral quantitative analysis through a sample distribution matching strategy.

Career Highlights

Chang Li is affiliated with the Institute of Intelligent Manufacturing at the Guangdong Academy of Sciences. His work focuses on advancing technologies that enhance manufacturing processes and data analysis techniques. His innovative contributions have positioned him as a key figure in his field.

Collaborations

Chang Li collaborates with notable colleagues, including Xingchi Chen and Li Qiu. Their combined expertise fosters a dynamic environment for innovation and research.

Conclusion

Chang Li's work in hyperspectral data analysis and intelligent manufacturing exemplifies the spirit of innovation. His patents reflect a commitment to advancing technology and improving analytical methods. Chang Li continues to be a significant contributor to the field, paving the way for future advancements.