Xiaoye Miao

Title: Innovations of Xiaoye Miao in Cardinality Estimation

Introduction

Xiaoye Miao is an accomplished inventor based in Zhejiang, China. He has made significant contributions to the field of data management and query optimization. His innovative work focuses on enhancing the efficiency and accuracy of cardinality estimation methods.

Latest Patents

Xiaoye Miao holds a patent for a "Cardinality estimation method and device for skyline query based on deep learning." This method involves parsing historical query log information from a database to obtain Skyline queries on a given target dataset and their corresponding cardinalities. The process includes constructing a training set, training data distribution learning models, and using these models to initialize a cardinality estimation model. The final output provides accurate cardinality estimates for Skyline query variants, ensuring the monotonic nature of the estimation.

Career Highlights

Xiaoye Miao is affiliated with Zhejiang University, where he continues to advance research in data science and machine learning. His work has garnered attention for its practical applications in database management and query optimization.

Collaborations

Xiaoye Miao has collaborated with notable colleagues, including Jiazhen Peng and Yangyang Wu, who contribute to his research endeavors.

Conclusion

Xiaoye Miao's innovative contributions to cardinality estimation methods demonstrate his expertise in leveraging deep learning for improved data query efficiency. His work continues to influence the field of data management significantly.