Beijing, China

Kai Cao

USPTO Granted Patents = 6 

Average Co-Inventor Count = 3.4

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2008-2025

where 'Filed Patents' based on already Granted Patents

6 patents (USPTO):

Title: Innovations and Contributions of Inventor Kai Cao

Introduction

Kai Cao is a prominent inventor based in Beijing, China. He has made significant contributions to the field of patent classification and evaluation, holding a total of 6 patents. His work focuses on enhancing the efficiency and accuracy of patent classification systems through innovative methodologies.

Latest Patents

One of his latest patents is an "Automatic Industry Classification Method and System." This invention involves determining a scope of target patents and defining a target industry tree. It generates marks on the target industry tree and performs both rough and fine classifications for the target patents. The method utilizes a transductive learning approach, allowing for the effective mining of small annotation quantity information. Additionally, it incorporates information from the International Patent Classification (IPC) to enrich data dimensions and reduce the computational load required for classification. Another notable patent is a "Patent Evaluation Method and System that Aggregate Patents Based on Technical Clustering." This method collects patent documents and generates technical points and clusters for evaluation. It employs natural language processing and complex network algorithms to aggregate patents within technical clusters, providing scientific and technological attributes for a comprehensive evaluation.

Career Highlights

Kai Cao has worked with several notable companies, including GE Medical Systems Global Technology Company and Beijing Benying Technologies Co., Ltd. His experience in these organizations has contributed to his expertise in patent technologies and methodologies.

Collaborations

Throughout his career, Kai has collaborated with talented individuals such as Weining Li and Minyue Zhang, who have contributed to his projects and innovations.

Conclusion

Kai Cao's innovative patents and contributions to the field of patent classification and evaluation demonstrate his commitment to advancing technology. His work continues to influence the way patents are classified and evaluated, showcasing the importance of innovation in this domain.

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