Fang Huang

Title: **Innovative Insights from Fang Huang: Pioneering Patents in Data Processing**

Introduction

Fang Huang is an accomplished inventor based in Beijing, China, recognized for his contributions to the field of data processing. With three registered patents to his name, Huang has focused on developing innovative methods and devices that enhance how data is managed and interpreted.

Latest Patents

Huang's most recent patents include a **Method of Processing Triple Data** and a **Method of Training Triple Data Processing Model**, along with associated electronic devices and storage mediums. This invention outlines a specific approach to extracting triple data from textual information, streamlining the normalizing process to ascertain target triple data which consists of entity data, entity relationship data, and association entity data. Additionally, it emphasizes the importance of verifying confidence levels of these data to ensure reliability.

Another significant patent is the **Method and Apparatus for Generating Temporal Knowledge Graph**, which details a system to draw temporal knowledge graphs from corpuses that contain time-related information. This invention includes processes for multivariate data extraction, providing a deeper understanding of the relationships between entities over time.

Career Highlights

Fang Huang has contributed his expertise to notable companies, including Baidu Netcom Science and Technology Co., Ltd. His work at such prestigious organizations has undoubtedly influenced advancements in technology and data management.

Collaborations

Throughout his career, Huang has collaborated with influential colleagues, including Yabing Shi and Yong Zhu. These professional relationships have potentially fostered a rich exchange of ideas, further enhancing the quality of his innovations.

Conclusion

Fang Huang continues to make significant strides in the realm of data processing with his inventive work, holding three important patents that showcase his commitment to advancing technological solutions. His contributions are greatly admired in the field, demonstrating the potential for further innovations in data management and its applications.