Yihan Wang

Title: Yihan Wang: Innovator in Data Processing Technologies

Introduction

Yihan Wang is a prominent inventor based in Hangzhou, China. He has made significant contributions to the field of data processing, particularly in the areas of peer review scoring and structural data imputation. With a total of 2 patents, his work is paving the way for advancements in data analysis and evaluation methods.

Latest Patents

Yihan Wang's latest patents include a "Method and device for detecting and correcting abnormal scoring of peer reviews." This invention focuses on converting collected scoring data into a two-dimensional matrix and preprocessing the data. It employs various anomaly detection methods to identify and classify abnormal data, ultimately generating an ability evaluation report and an abnormal scoring correction report. This application is particularly useful in detecting anomalies in peer reviews during performance appraisals in enterprises.

Another notable patent is the "Preprocessing and imputing method for structural data." This invention outlines a systematic approach to handle missing information in original datasets. It includes steps for querying missing data, performing listwise deletion, and utilizing advanced imputation techniques to enhance the quality of the dataset. This method significantly improves the reliability of data for subsequent prediction tasks.

Career Highlights

Yihan Wang is currently associated with Zhejiang Lab, where he continues to innovate and develop new technologies. His work has garnered attention for its practical applications in improving data quality and analysis.

Collaborations

Yihan collaborates with talented individuals such as Yao Yang and Jiaxi Yang, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Yihan Wang's contributions to data processing technologies are noteworthy and impactful. His patents reflect a commitment to enhancing the quality and reliability of data analysis methods. As he continues to innovate, his work will undoubtedly influence the future of data processing in various industries.