Beijing, China

Zheng Dong

USPTO Granted Patents = 3 

Average Co-Inventor Count = 5.3

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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3 patents (USPTO):

Title: Zheng Dong - Innovator in Artificial Intelligence Technologies

Introduction

Zheng Dong is a prominent inventor based in Beijing, China. He has made significant contributions to the field of artificial intelligence, particularly in the development of methods and apparatuses that enhance the understanding of object relationships and text topics.

Latest Patents

Zheng Dong holds 3 patents, with his latest innovations focusing on advanced methodologies in artificial intelligence. One of his notable patents is a method and apparatus for constructing an object relationship network. This invention relates to deep neural networks and deep learning technologies. It involves extracting keywords from text contents associated with multiple objects to determine their similarities and construct an object relationship network. This network effectively describes the closeness of relationships between objects, allowing for better management of these entities.

Another significant patent by Zheng Dong is a method for determining text topics. This method includes analyzing a word sequence in a text and determining a graph structure based on the spacing of words. By doing so, it establishes a topic distribution that helps identify the main topic of the text. These innovations showcase his expertise in leveraging artificial intelligence to solve complex problems.

Career Highlights

Zheng Dong is currently employed at Beijing Baidu Netcom Science Technology Co., Ltd. His work at this leading technology company has allowed him to focus on cutting-edge research and development in artificial intelligence.

Collaborations

Zheng has collaborated with notable colleagues, including Hengshu Zhu and Chuan Qin. Their teamwork has contributed to the advancement of innovative solutions in the field.

Conclusion

Zheng Dong is a key figure in the realm of artificial intelligence, with a focus on enhancing object relationship understanding and text topic determination. His patents reflect his commitment to innovation and the advancement of technology.

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