Beijing, China

Yuanwei Wang

USPTO Granted Patents = 3 

Average Co-Inventor Count = 2.3

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2018-2025

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3 patents (USPTO):

Title: Innovations of Yuanwei Wang

Introduction

Yuanwei Wang is a prominent inventor based in Beijing, China. He has made significant contributions to the field of graph computing, holding a total of 3 patents. His work focuses on optimizing distributed parallel computing methods, which are essential for handling complex graph data efficiently.

Latest Patents

Yuanwei Wang's latest patents include a "Three-class vertex degree aware-based 1.5-dimensional graph division method and application." This invention provides a distributed parallel computing-based graph computing method, a distributed parallel computing system, and a computer-readable medium. The method involves obtaining data from a graph to be computed and dividing vertices into three classes based on their degree. This innovative approach facilitates better communication and processing efficiency among nodes.

Another notable patent is the "Collective communication optimization method for global high-degree vertices, and application." This patent outlines a graph computation method that optimizes collective communication to reduce unnecessary data transmission across super nodes. By employing a hierarchical reduce-scatter technique, the method minimizes redundancy and enhances overall performance in graph computations.

Career Highlights

Yuanwei Wang has worked at esteemed institutions such as Tsinghua University and Beijing Polystar Hitech Co., Ltd. His experience in these organizations has allowed him to develop and refine his innovative ideas in graph computing.

Collaborations

Yuanwei has collaborated with notable colleagues, including Huanqi Cao and Zhenyu Wang. Their joint efforts have contributed to advancements in the field of distributed computing.

Conclusion

Yuanwei Wang's contributions to graph computing through his innovative patents and collaborations highlight his role as a leading inventor in this domain. His work continues to influence the efficiency of data processing in complex systems.

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