Beijing, China

Jianhui Huang

USPTO Granted Patents = 3 

Average Co-Inventor Count = 4.7

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2021-2023

where 'Filed Patents' based on already Granted Patents

3 patents (USPTO):

Title: Innovations of Jianhui Huang

Introduction

Jianhui Huang is a prominent inventor based in Beijing, China. He has made significant contributions to the field of technology, particularly in neural networks and image-based data processing. With a total of three patents to his name, Huang continues to push the boundaries of innovation.

Latest Patents

Huang's latest patents include a "Method and apparatus for generating neural network." This invention relates to a method for generating a neural network that utilizes two entity vectors corresponding to entities in a target knowledge graph. The method aims to determine the association relationship between these entities. Another notable patent is the "Method, apparatus, electronic device, and storage medium for image-based data processing." This invention focuses on improving the performance of systems for processing image-based data by determining attributes associated with objects in images based on input queries.

Career Highlights

Jianhui Huang is currently employed at Beijing Baidu Netcom Science and Technology Co., Ltd. His work at this leading technology company has allowed him to develop and refine his innovative ideas. His contributions have been instrumental in advancing the company's technological capabilities.

Collaborations

Huang has collaborated with several talented individuals in his field, including Pingping Huang and Min Qiao. These collaborations have fostered a creative environment that encourages the exchange of ideas and innovation.

Conclusion

Jianhui Huang is a notable inventor whose work in neural networks and image-based data processing has made a significant impact in the technology sector. His patents reflect his commitment to advancing technology and improving system performance.

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