Forest Hills, NY, United States of America

Junting Ye


Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: Junting Ye: Innovator in Machine Learning and Communication Classification

Introduction

Junting Ye is a notable inventor based in Forest Hills, NY (US). He has made significant contributions to the field of machine learning, particularly in the classification of electronic account users. His innovative approach leverages communication data to enhance the development of classifiers.

Latest Patents

Junting Ye holds a patent titled "Name-based classification of electronic account users." This patent focuses on processing information from communication accounts, such as account holder names, contact lists, and communication logs. The data is utilized to generate features that serve as a corpus for machine learning algorithms aimed at developing classifiers of names. Specifically, the names and contact names are organized into a document based on the communication patterns of account holders. This document is instrumental in generating word embeddings of the names. Furthermore, names that are pre-labeled with ethnicity, along with their corresponding word embeddings, are employed as training data for creating ethnicity classifiers using machine learning techniques. He has 1 patent to his name.

Career Highlights

Junting Ye is currently employed at Oath Inc., where he continues to push the boundaries of innovation in technology. His work is characterized by a strong focus on integrating machine learning with communication data to create more effective classification systems.

Collaborations

Junting has collaborated with talented individuals such as Yifan Hu and Baris Coskun, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Junting Ye's contributions to the field of machine learning and communication classification exemplify the impact of innovative thinking in technology. His patent and ongoing work at Oath Inc. highlight his commitment to advancing the capabilities of machine learning applications.

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