Hong Kong, China

Jialu Huang

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: City University of Hong Kong. Active years: 2024.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Jialu Huang

Introduction

Jialu Huang is a prominent inventor based in Hong Kong, CN. He has made significant contributions to the field of image processing through his innovative methods. His work focuses on enhancing image translation techniques, which are crucial in various applications, including computer vision and artificial intelligence.

Latest Patents

Jialu Huang holds a patent for an "Image to Image Translation Method." This method utilizes a style-based generator architecture for generative adversarial networks. The process involves applying a feature alignment loss function, which is defined mathematically to optimize the translation between source and target images. The patent highlights the importance of adjusting the loss weight across different layers of the model, ensuring that higher layers contribute more significantly to the overall loss calculation.

Career Highlights

Jialu Huang is affiliated with the City University of Hong Kong, where he continues to advance his research in image processing and machine learning. His work has garnered attention for its innovative approach and practical applications in technology.

Collaborations

He collaborates with notable colleagues, including Sam Tak Wu Kwong and Jing Liao, who contribute to his research endeavors. Their combined expertise enhances the quality and impact of their projects.

Conclusion

Jialu Huang's contributions to image processing through his patented methods demonstrate his innovative spirit and commitment to advancing technology. His work continues to influence the field and inspire future developments in image translation techniques.

Profile summary based on public USPTO records.
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