Shenzhen, China

Xiang Bai

This inventor holds 3 USPTO granted patents and 1 EPO patent. Top assignee: Tencent Technology (Shenzhen) Company Limited. Active years: 2018-2020.


% Patents Active = 100.0

 

Average Co-Inventor Count = 5.5

ph-index = 2

Forward Citations = 13(Granted Patents)


Company Filing History:


Years Active: 2018-2020

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3 patents (USPTO):Explore Patents

Title: Innovations of Inventor Xiang Bai

Introduction

Xiang Bai is a prominent inventor based in Shenzhen, China. He has made significant contributions to the field of image recognition through his innovative patents. With a total of 3 patents, his work focuses on enhancing the capabilities of convolutional neural networks (CNNs).

Latest Patents

Xiang Bai's latest patents include a "Training method and apparatus for convolutional neural network model." This invention discloses a method that involves performing convolution operations, maximal pooling operations, and horizontal pooling operations on training images. The process aims to improve the model's ability to recognize images of any size, thereby expanding its applicability in image recognition. Another notable patent is the "Method and apparatus for recognizing character string in image." This invention utilizes a convolutional neural network algorithm to enhance the accuracy of character string recognition in images, significantly improving the correctness of the recognition process.

Career Highlights

Throughout his career, Xiang Bai has worked with notable companies, including Tencent Technology (Shenzhen) Company Limited and Tencent Technology Company Limited. His experience in these organizations has contributed to his expertise in computer technologies and image recognition.

Collaborations

Xiang Bai has collaborated with several professionals in his field, including Cong Yao and Baoguang Shi. These collaborations have likely enriched his research and development efforts.

Conclusion

Xiang Bai's innovative work in the field of image recognition through his patents demonstrates his significant impact on technology. His contributions continue to advance the capabilities of convolutional neural networks, making him a noteworthy inventor in the industry.

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