Beijing, China

Mingzhe Li

USPTO Granted Patents = 1 

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Mingzhe Li: Innovator in Semantic Analysis Technology

Introduction

Mingzhe Li is a prominent inventor based in Beijing, China. He has made significant contributions to the field of semantic analysis, particularly in the context of confrontation scenarios. His innovative approach combines advanced data processing techniques with machine learning models to enhance the understanding of complex relational data.

Latest Patents

Mingzhe Li holds a patent titled "Method and apparatus for semantic analysis on confrontation scenario based on target-attribute-relation." This patent describes a method that involves pre-processing initial data from an acquired confrontation scenario to obtain triplet data marked in a graph data structure. The triplet data is then input into a pre-trained analyzing model to determine the semantic information of the confrontation scenario. The model includes multiple operator networks with execution priorities, which analyze different types of relations. The processing results provide true relations of node pairs, along with their confidences and descriptive values, ultimately characterizing the analysis results.

Career Highlights

Throughout his career, Mingzhe Li has worked with esteemed institutions such as Tsinghua University and Nantong Advanced Communication Technology Research Institute Co., Ltd. His experience in these organizations has allowed him to develop and refine his innovative methodologies in semantic analysis.

Collaborations

Mingzhe Li has collaborated with notable colleagues, including Yiping Duan and Xiaoming Tao. These partnerships have contributed to the advancement of his research and the successful implementation of his patented technologies.

Conclusion

Mingzhe Li's work in semantic analysis represents a significant advancement in understanding confrontation scenarios through innovative methodologies. His contributions continue to influence the field and inspire future research in data analysis technologies.

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