Beijing, China

Kai Han

USPTO Granted Patents = 13 

 

Average Co-Inventor Count = 4.3

ph-index = 2

Forward Citations = 12(Granted Patents)


Company Filing History:


Years Active: 2012-2025

where 'Filed Patents' based on already Granted Patents

13 patents (USPTO):

Title: Innovations of Inventor Kai Han

Introduction

Kai Han is a prominent inventor based in Beijing, China. He has made significant contributions to the field of artificial intelligence, particularly in image generation and neural network technologies. With a total of 13 patents, his work continues to influence advancements in computer vision and machine learning.

Latest Patents

Among his latest patents are methods and devices related to image generation and neural network compression. One notable patent discloses an image generation method that involves inputting a first matrix into an initial image generator to produce a generated image. This image is then processed through a preset discriminator, which is trained on real images to refine the output. Additionally, a neural network compression method is introduced to optimize the preset discriminator based on the generated sample image. Another patent focuses on an image classification method that utilizes convolution processing and matrix transformation to classify images effectively.

Career Highlights

Kai Han has held positions at esteemed organizations such as the Chinese Academy of Sciences and Huawei Technologies Co., Limited. His work at these institutions has allowed him to collaborate on cutting-edge research and development projects in artificial intelligence.

Collaborations

Throughout his career, Kai has worked alongside notable colleagues, including Wenwu Wang and Xiaolei Wang. Their collaborative efforts have contributed to the advancement of technologies in their respective fields.

Conclusion

Kai Han's innovative contributions to artificial intelligence and image processing demonstrate his expertise and commitment to advancing technology. His patents reflect a deep understanding of complex algorithms and their applications in real-world scenarios.

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