Yao Sun

Title: Yao Sun: Innovator in High-Dimensional Data Query Methods

Introduction

Yao Sun is a prominent inventor based in Zhejiang, China. He has made significant contributions to the field of data processing, particularly in high-dimensional data query methods. His innovative approach has led to advancements that enhance the efficiency and accuracy of data queries.

Latest Patents

Yao Sun holds a patent for a "High-dimensional data nearest-neighbor query method based on variable-length hash codes." This method involves taking hash codes with the same code frequency as a sub-data set, ranking all sub-data sets, and setting a compression ratio for each. The sub-data sets are then compressed and trained according to these ratios, resulting in hash codes and original codes corresponding to the trained sub-data sets. The method significantly improves query efficiency and accuracy by creating a final nearest-neighbor query table.

Career Highlights

Yao Sun is affiliated with Ningbo University, where he continues to engage in research and development in data processing technologies. His work has garnered attention for its practical applications in various fields that require efficient data handling.

Collaborations

Yao Sun has collaborated with notable colleagues, including Jiangbo Qian and Yanduo Ren. Their combined expertise contributes to the advancement of innovative solutions in data processing.

Conclusion

Yao Sun's contributions to high-dimensional data query methods exemplify the impact of innovative thinking in technology. His work not only enhances data processing efficiency but also sets a foundation for future advancements in the field.