Singapore, Singapore

Liming Zhai

This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignees: Elektrobit Automotive Gmbh, Nanyang Technological University. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Liming Zhai. Retrieved from https://idiyas.com/inventor/liming-zhai

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 = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Liming Zhai: Innovator in Face Anonymization Technology

Introduction

Liming Zhai is a notable inventor based in Singapore, recognized for his contributions to the field of face anonymization technology. His innovative approach utilizes generative adversarial networks to enhance privacy in digital images.

Latest Patents

Zhai holds a patent for "Face anonymization using a generative adversarial network." This patent describes a method where a generative adversarial network receives an input image of a face to be anonymized, along with an input vector containing control data. The network then generates an output image that anonymizes the face according to the specified control data.

Career Highlights

Throughout his career, Liming Zhai has worked with prominent organizations, including Elektrobit Automotive GmbH and Nanyang Technological University. His experience in these institutions has contributed significantly to his expertise in technology and innovation.

Collaborations

Zhai has collaborated with talented individuals such as Yi Wang and Qing Guo, further enhancing his work in the field of face anonymization.

Conclusion

Liming Zhai's innovative work in face anonymization through generative adversarial networks showcases his commitment to advancing technology while prioritizing privacy. His contributions are significant in the ongoing development of digital security solutions.

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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