Yangyang Wu

Title: Innovations of Yangyang Wu in Cardinality Estimation

Introduction

Yangyang Wu is a prominent inventor based in Zhejiang, China. He has made significant contributions to the field of data processing and estimation methods. His work focuses on enhancing the efficiency and accuracy of cardinality estimation for Skyline queries using deep learning techniques.

Latest Patents

Yangyang Wu holds a patent for a "Cardinality estimation method and device for skyline query based on deep learning." This innovative 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 utilizing these models to estimate cardinalities accurately. This patent addresses the challenges of cardinality estimation for Skyline query variants and ensures the monotonic nature of these estimations.

Career Highlights

Yangyang Wu is affiliated with Zhejiang University, where he continues to advance research in data estimation methods. His work has garnered attention for its practical applications in database management and query optimization. With 1 patent to his name, he is recognized for his innovative approach to complex data challenges.

Collaborations

Yangyang Wu has collaborated with notable colleagues, including Xiaoye Miao and Jiazhen Peng. Their joint efforts contribute to the ongoing research and development in the field of data processing and estimation.

Conclusion

Yangyang Wu's contributions to cardinality estimation through deep learning represent a significant advancement in data query methodologies. His innovative patent showcases the potential for improved efficiency in database management.