Hangzhou, China

Hanqi Liu

This inventor holds 1 USPTO granted patent. Top assignee: Zhejiang Gongshang University. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hanqi Liu. Retrieved from https://idiyas.com/inventor/hanqi-liu

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: Innovations of Hanqi Liu in Adversarial Machine Learning

Introduction

Hanqi Liu is an accomplished inventor based in Hangzhou, China. He has made significant contributions to the field of machine learning, particularly in the area of authentication code generation. His innovative approach utilizes adversarial machine learning techniques to enhance security measures.

Latest Patents

Hanqi Liu holds a patent for a "System and method for authentication code generation based on adversarial machine learning." This patent describes a comprehensive system that includes various modules such as a defensive authentication code generation system, an authentication code formation module, and an attack sample generation module. The method aims to simulate attack scenarios for continuous training of the authentication code, thereby optimizing its defense performance.

Career Highlights

Hanqi Liu is affiliated with Zhejiang Gongshang University, where he contributes to research and development in machine learning. His work focuses on improving the security of authentication systems through innovative methodologies.

Collaborations

Some of his notable coworkers include Xiaoning Jiang and Jianan Qi, who collaborate with him on various research projects.

Conclusion

Hanqi Liu's contributions to adversarial machine learning represent a significant advancement in the field of authentication systems. His innovative patent showcases the potential for improved security measures in technology.

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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