Nanchang, China

Hailong Yang

This inventor holds 1 USPTO granted patent. Top assignee: East China Jiaotong University. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hailong Yang. Retrieved from https://idiyas.com/inventor/hailong-yang-ccbij26w

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Hailong Yang: Innovator in Image Inpainting Technology

Introduction

Hailong Yang is a prominent inventor based in Nanchang, China. He has made significant contributions to the field of image processing, particularly in the area of image inpainting. His innovative approach combines image structure and texture information to enhance the restoration of damaged images.

Latest Patents

Hailong Yang holds a patent for an "Image inpainting method and system guided by image structure and texture information." This patent describes a method that constructs an image inpainting model capable of interacting with both image structure and texture information. The process involves preprocessing a damaged image to create a mask and edge structure image, which are then used to train the inpainting model. The model ultimately generates a restored image from the damaged input.

Career Highlights

Hailong Yang is affiliated with East China Jiaotong University, where he continues to advance his research in image processing technologies. His work has garnered attention for its practical applications in various fields, including digital media and computer vision.

Collaborations

Hailong Yang has collaborated with notable colleagues such as Gang Yang and Lizhen Dai. Their joint efforts contribute to the ongoing development of innovative solutions in image processing.

Conclusion

Hailong Yang's contributions to image inpainting technology demonstrate his commitment to advancing the field of image processing. His innovative methods and collaborative spirit continue to inspire future developments in this area.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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