San Jose, CA, United States of America

Hanqing Chen

USPTO Granted Patents = 1 

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):

Title: The Innovations of Hanqing Chen

Introduction

Hanqing Chen is a notable inventor based in San Jose, California. He has made significant contributions to the field of computer science, particularly in machine learning. His innovative work has led to the development of a unique patent that enhances the training of computer-implemented models.

Latest Patents

Hanqing Chen holds a patent for a "Computer model machine learning based on correlations of training data with performance trends." This patent outlines mechanisms for training a computer-implemented model through multiple instances, each utilizing different training data sets. The process generates distinct instances of trained models and records the differences in their performance. By analyzing these recorded differences, the mechanisms can indicate correlations between the training data and the model results.

Career Highlights

Hanqing Chen is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM focuses on advancing machine learning technologies and improving the efficiency of computer models. His expertise in this area has positioned him as a valuable asset to his team and the company.

Collaborations

Hanqing has collaborated with several talented individuals, including Abhinandan Kelgere Ramesh and Ramani Ranjan Routray. These collaborations have fostered an environment of innovation and creativity, leading to advancements in their respective fields.

Conclusion

Hanqing Chen's contributions to machine learning and his innovative patent demonstrate his commitment to advancing technology. His work at IBM and collaborations with fellow inventors highlight the importance of teamwork in driving innovation. Hanqing Chen continues to be a significant figure in the realm of computer science and machine learning.

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