Bexley North, Australia

Ling Guan

This inventor holds 2 USPTO granted patents. Top assignees: Mitsubishi Electric Research Labs., The General Hospital Corporation, The University of Sydney. Active years: 1999-2005.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ling Guan. Retrieved from https://idiyas.com/inventor/ling-guan-8jsjxptq

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


% Patents Active = 50.0

Average Co-Inventor Count = 3.0

ph-index = 2

Forward Citations = 34(Granted Patents)


Company Filing History:


Years Active: 1999-2005

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2 patents (USPTO):Explore Patents

Title: Ling Guan: Innovator in Network Resource Allocation and Image Restoration

Introduction

Ling Guan is a notable inventor based in Bexley North, Australia. He has made significant contributions to the fields of network resource allocation and image restoration. With a total of 2 patents, his work showcases innovative approaches to complex technological challenges.

Latest Patents

Guan's latest patents include "Dynamic network resource allocation using multimedia content features and traffic features." This method focuses on dynamically allocating network resources while transferring multimedia at variable bit-rates. It extracts first content features from the multimedia to determine renegotiation points and observation periods. During these observation periods, second content features and traffic features are extracted from the multimedia bit stream. These features are then combined in a neural network to predict the network resources to be allocated at the renegotiation points.

Another significant patent is "System and method for image regularization in inhomogeneous environments." This regularization system and method is designed for image restoration in both homogeneous and inhomogeneous environments. It includes features similar to a neural network, with intermediate levels of structure that consist of pixels and clusters of interconnected pixels, all possessing processing capabilities. The system assigns a regularization parameter to each pixel based on the local variance of intensity, allowing for effective image restoration.

Career Highlights

Ling Guan has worked with prestigious organizations such as Mitsubishi Electric Research Labs and Massachusetts General Hospital Corporation. His experience in these institutions has contributed to his expertise in developing innovative solutions in technology.

Collaborations

Throughout his career, Guan has collaborated with notable individuals, including Min Wu and Robert A Joyce. These collaborations have further enriched his work and expanded his impact in the field.

Conclusion

Ling Guan's contributions to network resource allocation and image restoration demonstrate his innovative spirit and technical expertise. His patents reflect a commitment to advancing technology and improving processes in these critical areas.

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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