Temple City, CA, United States of America

Zhengping Ji

USPTO Granted Patents = 19 

Average Co-Inventor Count = 3.3

ph-index = 6

Forward Citations = 90(Granted Patents)


Location History:

  • Pasadena, CA (US) (2016 - 2024)
  • Temple City, CA (US) (2017 - 2024)

Company Filing History:


Years Active: 2016-2024

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19 patents (USPTO):Explore Patents

Title: Innovations and Contributions of Zhengping Ji

Introduction

Zhengping Ji, a prominent inventor based in Temple City, CA, has made significant strides in the field of neural networks and convolution technologies. With a remarkable portfolio of 19 patents, his work continues to influence advancements in artificial intelligence and machine learning.

Latest Patents

Among his latest innovations are two noteworthy patents:

1. **Automatic thresholds for neural network pruning and retraining** – This invention outlines a method for optimizing the pruning of a neural network. The process involves pruning layers of the network using varying thresholds until the pruning error falls within an acceptable allowance.

2. **Apparatus and method for generating efficient convolution** – This patent presents a manufacturing method for an apparatus designed on a wafer or package. It includes a polynomial generator and multiple matrix generators that work synergistically to enhance the convolution process, validated through advanced electrical and optical testing methods.

Career Highlights

Zhengping Ji is currently employed at Samsung Electronics Co., Ltd., where he applies his extensive knowledge in technology and innovation. His contributions to the company have been pivotal in pushing the boundaries of research and development in artificial intelligence applications.

Collaborations

Throughout his career, Zhengping has collaborated with several esteemed coworkers, including Ilia Ovsiannikov and Yibing Michelle Wang. These collaborations reflect a strong team dynamic that fosters innovation and problem-solving in complex projects.

Conclusion

Zhengping Ji's impressive body of work, characterized by his patents and collaborative efforts, marks him as a key figure in the realm of technology innovation. His discoveries have the potential not only to enhance current technologies but also to pave the way for future advancements in the field of machine learning and neural networks.

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