Beijing, China

Shijia Chen

USPTO Granted Patents = 3 

 

Average Co-Inventor Count = 5.5

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2018-2021

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3 patents (USPTO):

Title: Shijia Chen - Innovator in Traffic Light Identification and Search Technologies

Introduction

Shijia Chen is a prominent inventor based in Beijing, China. He has made significant contributions to the fields of traffic light identification and search technologies. With a total of 3 patents, his work showcases innovative methods that enhance the accuracy and efficiency of these technologies.

Latest Patents

One of Shijia Chen's latest patents is a "Method and apparatus for identifying traffic light." This invention discloses a method that involves zooming a to-be-processed image acquired by an image acquisition device. The method uses a pre-trained convolutional neural network to obtain location and category information of a traffic light. This approach improves the accuracy of identifying traffic lights in various conditions. Another notable patent is the "Searching method and apparatus," which provides a computer-implemented searching method. This method enhances the effect of information expression in search results by utilizing picture-expressible terms to deliver relevant visual results to clients.

Career Highlights

Shijia Chen has worked with notable companies, including Baidu Online Network Technology (Beijing) Co., Ltd. His experience in these organizations has allowed him to develop and refine his innovative ideas, contributing to advancements in technology.

Collaborations

Shijia has collaborated with talented individuals such as Shilei Wen and Xubin Li. These partnerships have fostered a creative environment that encourages the development of groundbreaking technologies.

Conclusion

Shijia Chen's contributions to traffic light identification and search technologies highlight his innovative spirit and dedication to improving technological solutions. His patents reflect a commitment to enhancing accuracy and efficiency in these fields.

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