Galen G W Zhong

Title: Galen G. W. Zhong and Synthetic Data Innovation.

Introduction

Galen G. W. Zhong is an inventor based in Foshan, China. His work includes a patent for generating synthetic data from a sample data set while preserving selected features and structural characteristics. Zhong is associated with HSBC Software Development (Guangdong) Limited.

Latest Patents

Zhong’s listed patent, “Using a Data Mirror to Generate Synthetic Data,” describes a method for creating synthetic data with machine learning. A processor receives a sample data set, identifies its features and structural characteristics, and determines whether some of its data is categorical. An ML model then generates synthetic data that retains the relevant feature, and the system packages it into a synthetic data set designed to match the sample’s selected features and structure. This approach may help produce synthetic data that reflects important properties of source data.

The provided information lists 1 patent for Zhong.

Career Highlights

Zhong’s patent work focuses on applying machine learning to synthetic data generation. The described method emphasizes preserving selected characteristics of a data set while generating new data, a capability relevant to data analysis and software development.

Collaborations

Zhong’s listed coworkers include John R. N. Li and Kevin Y. Wang. The available information identifies his association with HSBC Software Development (Guangdong) Limited but does not specify the coworkers’ roles in the patent.

Conclusion

Galen G. W. Zhong’s listed invention addresses synthetic data generation through machine learning, with an emphasis on retaining key features and structure from a sample data set.