Hangzhou, China

Jianan Qi

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jianan Qi. Retrieved from https://idiyas.com/inventor/jianan-qi

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 Jianan Qi in Adversarial Machine Learning

Introduction

Jianan Qi 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

Jianan Qi holds a patent titled "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 defensive capabilities.

Career Highlights

Jianan Qi 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 Jian Fang, who collaborate with him on various research projects.

Conclusion

Jianan Qi's contributions to adversarial machine learning represent a significant advancement in the field of authentication security. His innovative patent showcases the potential of using machine learning techniques to enhance defense mechanisms 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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