Yinghui Wu

Title: Innovations by Yinghui Wu in Data Science

Introduction

Yinghui Wu is an accomplished inventor based in Cleveland, OH (US). He has made significant contributions to the field of data science, particularly in the area of machine learning. His innovative work focuses on tracking data provenance, which is crucial for ensuring the integrity and reliability of machine learning models.

Latest Patents

Yinghui Wu holds a patent for a system that enables tracking machine learning model data provenance. This system is designed to accept machine learning model code that, when executed, instantiates and trains a machine learning model. It parses the model code into a workflow intermediate representation (WIR) and semantically annotates the WIR to provide an annotated version. The system identifies data from at least one data source that is relied upon by the model code during training. The WIR may be generated from an abstract syntax tree (AST) based on the model code, creating provenance relationships (PRs) based on the relationships between nodes of the AST. A PR includes one or more input variables, an operation, a caller, and one or more output variables. Yinghui Wu has 1 patent to his name.

Career Highlights

Yinghui Wu is currently employed at Microsoft Technology Licensing, LLC, where he continues to develop innovative solutions in data science. His work is instrumental in enhancing the understanding and tracking of data provenance in machine learning applications.

Collaborations

Yinghui has collaborated with notable colleagues, including Avrilia Floratou and Ashvin Agrawal, who contribute to the advancement of technology in their respective fields.

Conclusion

Yinghui Wu's contributions to data science through his innovative patent on tracking data provenance in machine learning models highlight his expertise and commitment to advancing technology. His work is essential for improving the reliability and transparency of machine learning applications.