Xi'an, China

Li Juan Gao

USPTO Granted Patents = 11 

Average Co-Inventor Count = 5.5

ph-index = 1

Forward Citations = 1(Granted Patents)


Location History:

  • Beijing, CN (2021 - 2023)
  • Xian, CN (2022 - 2024)

Company Filing History:


Years Active: 2021-2025

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11 patents (USPTO):

Title: Li Juan Gao: Innovator in Machine Learning and Language Detection

Introduction

Li Juan Gao, an accomplished inventor based in Xi'an, China, has made significant contributions to the fields of machine learning and language technology. With a remarkable portfolio of 11 patents, Gao has proven to be a pioneer in innovative solutions that address complex challenges in data analysis and language recognition.

Latest Patents

Among Gao's latest innovations is a patent for the "Visualization of the impact of training data." This invention provides a method for executing a machine learning model on training data consisting of a variety of word strings. The process involves identifying specific words extracted by the model, determining a color representation for these words, and rendering this information via a user interface for enhanced visualization.

Another notable patent is for "Rapid language detection for characters in images of documents." This computer-implemented method employs a text recognition algorithm to analyze images containing characters associated with a specific language. It efficiently computes a confidence level for the detected language and outputs it when certain criteria are met. The algorithm utilizes a simple shallow neural network trained on a mixed language corpus, enhancing its capability in language detection tasks.

Career Highlights

Throughout his career, Gao has worked with prestigious organizations, including IBM and the University of Science and Technology Beijing. His experience at these institutions reflects his dedication to advancing technology and fostering innovation in both academic and corporate environments.

Collaborations

Gao's work has also seen collaboration with notable colleagues, including Zhong Fang Yuan and Tong Liu. These partnerships have contributed to creating cutting-edge technologies that push the boundaries of machine learning and language processing capabilities.

Conclusion

Li Juan Gao stands out as an inventive force driving forward the intersection of technology and language recognition. With his impressive array of patents and progressive projects, he continues to inspire the next generation of innovators in the realms of data science and machine learning. His work not only showcases the potential of technology but also emphasizes the importance of collaborative efforts in bringing groundbreaking ideas to fruition.

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