Shenzhen, China

Yun Guo

USPTO Granted Patents = 4 

Average Co-Inventor Count = 3.2

ph-index = 2

Forward Citations = 18(Granted Patents)


Company Filing History:


Years Active: 2018-2023

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4 patents (USPTO):Explore Patents

Title: Inventor Yun Guo: Pioneering Innovations in Data Classification

Introduction

Yun Guo, an acclaimed inventor based in Shenzhen, China, has made significant contributions to the field of data processing and machine learning. With a portfolio of four patents, his work focuses on methods and apparatuses that enhance the efficiency of classification processes, especially in unbalanced sample data scenarios.

Latest Patents

Among his latest innovations are two notable patents:

1. **Unbalanced Sample Classification Method and Apparatus** - This invention provides a comprehensive method for managing unbalanced sample data. It includes steps for calculating a sample contribution rate and filtering data based on this rate. The method ultimately promotes efficient classification using machine learning algorithms by eliminating less significant features or samples.

2. **Method for Automatically Collecting and Matching Laboratory Data** - This patent discloses a systematic approach to obtaining and processing laboratory data. It involves segmenting experimental data into manageable blocks, generating an index table for these data blocks, and selecting matching modes to streamline data extraction. This methodology significantly reduces the complexity and processing time associated with data analysis.

Career Highlights

Yun Guo has built his career through impactful positions at significant companies. He has worked with Huawei Technologies, where he was involved in cutting-edge technology projects, as well as at the Shenzhen Academy of Inspection and Quarantine, contributing to advancements in data analysis and inspection methods. His experience in these high-tech environments has undoubtedly shaped his innovative mindset.

Collaborations

Throughout his innovative journey, Yun Guo has collaborated with esteemed colleagues such as Haiqi Zhang and Yina Cai. Together, they have fostered a collaborative research environment that promotes the development of practical solutions in data classification and laboratory data management.

Conclusion

Yun Guo stands out as a determined inventor driven by the desire to enhance technology and its applications in data processing. His patents reflect his commitment to innovation, making significant strides in machine learning and laboratory data management that promise to influence the industry substantially. As he continues to develop new methodologies, Yun Guo is undoubtedly a name to watch in the realm of technological innovations.

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