Shenzhen, China

Changhong Shi

This inventor holds 1 USPTO granted patent. Top assignee: Shenzhen Institutes of Advanced Technology. Active years: 2020.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Changhong Shi. Retrieved from https://idiyas.com/inventor/changhong-shi-jyop0abb

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

% Patents Active = 100.0

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: Changhong Shi: Innovator in Tensor Data Processing

Introduction

Changhong Shi is a prominent inventor based in Shenzhen, China. He has made significant contributions to the field of pattern recognition through his innovative methods for processing tensor data. His work is particularly relevant in the context of advancing computer technology and artificial intelligence.

Latest Patents

Changhong Shi holds a patent for a "Method for processing tensor data for pattern recognition and computer device." This patent outlines a method that includes constructing a decision function using an optimal projection tensor that has been rank-one decomposed, along with an offset scalar. The method allows for the input of tensor data, which has also been rank-one decomposed, into the decision function for accurate predictions. He has 1 patent to his name.

Career Highlights

Changhong Shi is affiliated with the Shenzhen Institutes of Advanced Technology, where he continues to push the boundaries of research and innovation. His work has garnered attention for its potential applications in various technological fields.

Collaborations

He has collaborated with notable colleagues, including Shuqiang Wang and Dewei Zeng, contributing to a dynamic research environment that fosters innovation and development.

Conclusion

Changhong Shi's contributions to tensor data processing exemplify the impact of innovative thinking in technology. His work not only enhances pattern recognition but also paves the way for future advancements in computer devices.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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