Yamei Li

Title: Innovations by Inventor Yamei Li

Introduction

Yamei Li is a notable inventor based in Beijing, China. With a focus on data processing and deep learning frameworks, he has successfully secured two patents that demonstrate his expertise in technology and innovation.

Latest Patents

Yamei Li's latest patents include groundbreaking developments in data processing methods. The first patent outlines a method and apparatus based on a recurrent neural network, which consists of multiple recurrent units, data processing nodes, and a start node. This invention uniquely adds tags to data processing nodes during the processing of target objects under specific conditions, enhancing the efficiency of data handling. The second patent presents a method for converting schemas in a deep learning framework, which involves updating schemas based on syntax elements and context relationships. This innovation aims to streamline the generation of second schemas from first schemas, thus optimizing the overall framework for deep learning applications.

Career Highlights

Yamei Li has had an impressive career, working at prominent companies such as Beijing Baidu Netcom Science and Technology Company. His contributions within the field of data technology have been significant, showcasing his commitment to advancing how we process and handle data.

Collaborations

Throughout his career, Yamei Li has collaborated with talented individuals, including Liujie Zhang and Huihuang Zheng, who have worked alongside him on various projects. These collaborations have enriched his work and fostered an environment of innovation and creativity.

Conclusion

Yamei Li stands out as an influential inventor in the realm of data processing and deep learning. His patents reflect his innovative mindset and dedication to improving technology, making significant contributions to the scientific community. With his continued work, he is sure to inspire future advancements in the field.