Beijing, China

Li Na Wang

USPTO Granted Patents = 6 

Average Co-Inventor Count = 5.5

ph-index = 2

Forward Citations = 14(Granted Patents)


Company Filing History:


Years Active: 2014-2025

where 'Filed Patents' based on already Granted Patents

6 patents (USPTO):

Title: Innovations of Li Na Wang

Introduction

Li Na Wang is a prominent inventor based in Beijing, China. He has made significant contributions to the field of technology, particularly in machine learning and deep learning applications. With a total of six patents to his name, Wang continues to push the boundaries of innovation.

Latest Patents

One of his latest patents focuses on class-specific predictor importance. This invention involves generating a prediction model using machine learning, which includes a tree structure with nodes and class label subgroups. The model determines the importance of class-specific predictor indicators by merging term predictor indicator frequency and purity predictor indicator frequency. The graphical user interface representation of this tree structure allows users to visualize paths between the root node and leaf nodes, enhancing understanding of the predictor indicators.

Another notable patent by Wang is a method for identifying equivalent technical terms in different documents. This computer-implemented system utilizes a deep learning model trained to recognize equivalent technical terms. By analyzing sentences in a new document, the model identifies technical terms and their meanings. It then cross-references these meanings with a glossary list to annotate the document with equivalent technical terms, facilitating better comprehension of non-standard terminology.

Career Highlights

Li Na Wang is currently employed at International Business Machines Corporation (IBM), where he applies his expertise in machine learning and deep learning. His work has garnered attention for its innovative approach to solving complex problems in technology.

Collaborations

Wang collaborates with talented individuals such as Ju Ling Liu and Nan Chen, contributing to a dynamic work environment that fosters creativity and innovation.

Conclusion

Li Na Wang's contributions to technology through his patents and work at IBM highlight his role as a leading inventor in the field. His innovative approaches to machine learning and deep learning continue to influence the industry and inspire future advancements.

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