Kevin Y Wang

Title: Kevin Y Wang and Synthetic Data Generation

Introduction

Kevin Y Wang is an inventor based in Shanghai, China. His patent work addresses the generation of synthetic data that preserves important features and structural characteristics of a sample data set.

Latest Patents

Wang is associated with 1 patent: “Using a Data Mirror to Generate Synthetic Data.” The invention describes a processor receiving a sample data set and identifying its features and structural characteristics. It can determine whether some of the data is categorical, then use a machine-learning model to generate synthetic data with matching features. The generated data is packaged into a synthetic data set designed to retain the sample set’s relevant features and structure.

Career Highlights

Wang is associated with HSBC Software Development (Guangdong) Limited. His patent reflects work on applying machine learning to synthetic data generation while preserving characteristics of the source data.

Collaborations

Galen G W Zhong and John R N Li are identified as Wang’s coworkers. The available information does not specify their roles in the patent or the extent of their collaboration.

Conclusion

Kevin Y Wang’s patent focuses on generating synthetic data that mirrors selected features and structural characteristics of sample data, connecting machine-learning methods with practical data preparation needs.