Xiaoying Guo

Title: Xiaoying Guo: Innovator in Dataset Clustering

Introduction

Xiaoying Guo is an accomplished inventor based in Sammamish, WA (US). He has made significant contributions to the field of data science, particularly in the area of dataset clustering. His innovative approach has the potential to enhance data analysis and improve the efficiency of data processing.

Latest Patents

Xiaoying Guo holds a patent for "Iterative sampling based dataset clustering." This patent describes a method that includes sampling a dataset with multiple items to identify a specified number of sampled items. The sampled items are then clustered to generate several clusters. Un-sampled items are assigned to these clusters, and any remaining un-sampled items that are not assigned are identified. A ratio associated with these remaining un-sampled items and the total items is compared to a specified threshold. If this ratio exceeds the threshold, an indication of the completion of clustering is generated.

Career Highlights

Xiaoying Guo is currently employed at Microsoft Technology Licensing, LLC. His work at Microsoft has allowed him to apply his innovative ideas in a practical setting, contributing to advancements in technology and data management.

Collaborations

Xiaoying has collaborated with notable colleagues, including Shean Wang and Jiayuan Huang. These collaborations have fostered a creative environment that encourages the exchange of ideas and the development of cutting-edge solutions.

Conclusion

Xiaoying Guo's contributions to dataset clustering exemplify the impact of innovative thinking in technology. His patent and work at Microsoft highlight his role as a key player in advancing data science.