Shanghai, China

Jinyang Guo

This inventor holds 1 USPTO granted patent. Top assignee: Shanghai Jiao Tong University. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jinyang Guo. Retrieved from https://idiyas.com/inventor/jinyang-guo-nfzhb1ph

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Jinyang Guo - Innovator in Graph Computing

Introduction

Jinyang Guo is a prominent inventor based in Shanghai, China. He has made significant contributions to the field of graph computing, particularly through his innovative approaches to memory management.

Latest Patents

Jinyang Guo holds a patent for an "Adaptive Unified Memory Management Method and System for Large-Scale Graphs." This patent proposes a method that enhances the performance of processing large graphs that exceed the video memory capacity under a unified memory architecture. The method involves determining the order of priorities of different types of graph data structures and configuring a unified memory management policy accordingly. It significantly improves GPU bandwidth utilization, reduces the number of page faults, and speeds up the execution of graph computing programs.

Career Highlights

Jinyang Guo is affiliated with Shanghai Jiaotong University, where he continues to advance research in graph computing. His work has garnered attention for its practical applications in handling large-scale graph data.

Collaborations

Jinyang has collaborated with notable colleagues, including Chao Li and Pengyu Wang, contributing to various research projects and innovations in the field.

Conclusion

Jinyang Guo's innovative work in memory management for graph computing exemplifies the impact of research on technology. His contributions are paving the way for advancements in processing large-scale graphs efficiently.

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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