Jiaming Guo

Title: Jiaming Guo: Innovator in Automated Textual Content Categorization

Introduction

Jiaming Guo is a notable inventor based in Kirkland, WA (US). He has made significant contributions to the field of automated textual content categorization through his innovative patent. His work focuses on enhancing the accuracy of categorization using advanced neural network techniques.

Latest Patents

Jiaming Guo holds a patent titled "Automated structured textual content categorization accuracy with neural networks." This patent provides a method for the automated categorization of structured textual content. It involves associating individual nodes of textual content with multidimensional vectors, which are based on the textual content, visual features, and positional information of the nodes. These vectors are processed through a neighbor-imbuing neural network, which enhances them before they are input into a categorization neural network. The output is a set of multidimensional vectors that correspond to the categories into which the structured textual content is to be categorized. A weighted merge is utilized to consider multiple nodes grouped together.

Career Highlights

Jiaming Guo is currently employed at Microsoft Technology Licensing, LLC, where he applies his expertise in neural networks and content categorization. His innovative approach has the potential to revolutionize how structured textual content is categorized in various applications.

Collaborations

Some of Jiaming's coworkers include Charumathi Lakshmanan and Ye Li, who contribute to the collaborative environment at Microsoft Technology Licensing, LLC.

Conclusion

Jiaming Guo's work in automated textual content categorization showcases his innovative spirit and dedication to advancing technology. His patent reflects a significant step forward in the field, demonstrating the power of neural networks in improving categorization accuracy.