Yunjing Ma

Title: Yunjing Ma: Innovator in Dataset Clustering

Introduction

Yunjing Ma is a notable inventor based in Bellevue, WA (US). He has made significant contributions to the field of data science, particularly in the area of dataset clustering. His innovative approach has led to the development of a unique patent that enhances the efficiency of data analysis.

Latest Patents

Yunjing Ma holds a patent titled "Iterative Sampling Based Dataset Clustering." This patent describes a method that involves sampling a dataset containing multiple items to identify a specified number of sampled items. The sampled items are then clustered to create several clusters. Un-sampled items are assigned to these clusters, while remaining un-sampled items that are not assigned are identified. A ratio associated with these remaining un-sampled items and the total number of items is compared to a specified threshold. If this ratio exceeds the threshold, an indication of the completion of clustering is generated. This innovative method streamlines the clustering process and improves data management.

Career Highlights

Yunjing Ma is currently employed at Microsoft Technology Licensing, LLC, where he applies his expertise in data science and innovation. His work at Microsoft has allowed him to contribute to cutting-edge technologies and collaborate with other talented professionals in the field.

Collaborations

Yunjing has worked alongside colleagues such as Shean Wang and Jiayuan Huang. Their collaborative efforts have fostered an environment of innovation and creativity, leading to advancements in their respective projects.

Conclusion

Yunjing Ma is a distinguished inventor whose work in dataset clustering has made a significant impact in the field of data science. His patent demonstrates a forward-thinking approach to data management, showcasing his innovative spirit and dedication to advancing technology.