Yong Hui Ma

Title: Yong Hui Ma: Innovator in Machine Learning and Feedback Analysis

Introduction

Yong Hui Ma is a notable inventor based in Bellevue, WA (US). He has made significant contributions to the field of machine learning, particularly in the area of analyzing verbal feedback. His innovative approach combines artificial text generation with advanced classification techniques.

Latest Patents

Yong Hui Ma holds 1 patent for his invention titled "Identifying noise in verbal feedback using artificial text from non-textual parameters and transfer learning." This patent outlines methods and systems for classifying free-text content using machine learning. The process involves receiving free-text content, such as customer feedback, and parameter values organized according to a schema. An artificial-text corpus is generated by applying specific rules to the parameter values, converting them into a finite set of words. These words are then concatenated into a fixed sequence wordlist. The feature vectors based on both the free-text and artificial-text corpora are combined and forwarded to a machine learning model for classification. This model can be trained with a bias towards specified metrics, such as precision or recall, and may utilize transfer learning with training data from different categories of free-text content.

Career Highlights

Yong Hui Ma is currently employed at Microsoft Technology Licensing, LLC, where he continues to develop innovative solutions in technology and machine learning. His work has positioned him as a key player in the advancement of feedback analysis systems.

Collaborations

Yong Hui Ma collaborates with talented individuals such as Isha Aniruddha Oke and Vandana Gunupudi. Their combined expertise contributes to the success of their projects and innovations.

Conclusion

Yong Hui Ma's contributions to machine learning and feedback analysis demonstrate his commitment to innovation and technology. His patent reflects a significant advancement in the classification of verbal feedback, showcasing the potential of artificial intelligence in understanding customer insights.