Shaomeng Wang

Title: Innovations of Shaomeng Wang

Introduction

Shaomeng Wang is a prominent inventor based in Hangzhou, China. He has made significant contributions to the field of model training and data processing. With a total of 4 patents to his name, Wang's work focuses on improving the efficiency and effectiveness of machine learning models.

Latest Patents

Wang's latest patents include a "Method and system for training model by using training data." This patent outlines a process that involves determining the importance of feature columns in training data and performing dimension reduction to enhance model training. Another notable patent is the "Method and apparatus for training model based on random forest." This invention describes a method for dividing worker nodes into groups for efficient random sampling and decision tree training, significantly reducing data processing time.

Career Highlights

Shaomeng Wang is currently employed at Alibaba Group Holding Limited, where he continues to innovate in the field of data science and machine learning. His work has been instrumental in advancing the capabilities of AI technologies within the company.

Collaborations

Wang collaborates with talented individuals such as Xiaoyan Jiang and Xu Yang, contributing to a dynamic team focused on cutting-edge research and development.

Conclusion

Shaomeng Wang's contributions to the field of model training and data processing highlight his innovative spirit and dedication to advancing technology. His patents reflect a commitment to improving machine learning efficiency, making a significant impact in the industry.