This inventor holds 1 USPTO granted patent. Top assignee: Sun Yat-Senuniversity. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Hanyu Gao and Virtual Network Topology Configuration
Introduction
Hanyu Gao is an inventor associated with Guangdong, China, and Sun Yat-Sen University. His patent work addresses machine-learning methods for configuring virtual network topologies in software-defined optical networks.
Latest Patents
The provided information lists 1 patent associated with Hanyu Gao: “Method, System, and Storage Medium for Multi-Granularity Virtual Network Topology Configuration in SDM Optical Networks Utilizing MAML and Transfer Learning.”
The invention describes a software-defined network architecture that receives configuration information for a virtual network topology and invokes an intelligent machine-learning service module. The module applies Model-Agnostic Meta-Learning (MAML) and transfer learning to provide services that include transmission-quality estimation, fault management, and resource allocation.
Career Highlights
Gao’s listed patent focuses on applying machine learning to network configuration and management. The disclosed approach combines MAML and transfer learning to support multiple services in software-defined optical networks.
Collaborations
The provided information identifies Zhaohui Li and Xiaoliang Chen as Gao’s coworkers. Sun Yat-Sen University is listed as his associated organization.
Conclusion
Hanyu Gao’s listed invention applies MAML and transfer learning to virtual network topology configuration, with potential applications in transmission-quality estimation, fault management, and resource allocation.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile