Shenzhen, China

Hongyun Xiao

This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Zte Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hongyun Xiao. Retrieved from https://idiyas.com/inventor/hongyun-xiao

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

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Average Co-Inventor Count = 1.0

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Hongyun Xiao - Innovator in Optical Transport Networks

Introduction

Hongyun Xiao is a talented inventor based in Shenzhen, China. She is currently employed at ZTE Corporation, where she contributes to advancements in telecommunications technology. Despite having no granted patents to her name, her work in the field is noteworthy.

Latest Patent Applications

Hongyun Xiao's latest patent application is titled "OTN Digital Twin Network Generation Method and System Based on Longitudinal Federated Learning." This application discloses a method and system for generating an Optical Transport Network (OTN) digital twin network based on vertical federated learning. The method includes performing homomorphic encryption on a local fault root cause identifier to obtain an encrypted fault root cause identifier. It also involves receiving all encrypted alarm sample sequences corresponding to the encrypted fault root cause identifier. The process generates a single-domain training set according to the encrypted fault root cause identifier and the encrypted alarm sample sequences. Furthermore, it trains the local cross-domain fault root cause identification model according to the single-domain training set to obtain a model parameter update amount of the cross-domain fault root cause identification model. Finally, the model parameter update amount is reported to the multi-domain orchestration system.

Conclusion

Hongyun Xiao is making significant contributions to the field of optical transport networks through her innovative approaches. Her work, particularly in federated learning, showcases her commitment to advancing technology in telecommunications.

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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