This inventor holds 2 USPTO granted patents and 5 published patent applications. Top assignees: Huawei Technologies Co., Limited, Huawei Technologies Co., Ltd.. Active years: 2026.
Company Filing History:

Years Active: 2026
Title: Xiuqiao Li: Innovator in Computing Node Clusters
Introduction
Xiuqiao Li is a prominent inventor based in Beijing, China. He has made significant contributions to the field of computing, particularly in the development of innovative data aggregation methods. His work is characterized by a focus on enhancing the efficiency of computing node clusters.
Latest Patents
Xiuqiao Li holds a patent for a "Computing node cluster, data aggregation method, and related device." This invention involves a computing node cluster that includes multiple computing nodes, one of which is designated as an aggregation computing node. The nodes are designed to collaboratively perform write operations on data, with each node returning a write success after storing partial data in a local cache. The aggregation computing node then aggregates this partial data into a single dataset with consecutive addresses, which is subsequently written into a storage node.
Career Highlights
Xiuqiao Li is currently employed at Huawei Technologies Co., Limited, a leading global provider of information and communications technology (ICT) infrastructure and smart devices. His role at Huawei has allowed him to work on cutting-edge technologies and contribute to the company's innovative projects.
Collaborations
Throughout his career, Xiuqiao Li has collaborated with notable colleagues, including Shuai Gao and Xiaogang Pan. These collaborations have fostered a creative environment that encourages the exchange of ideas and the development of groundbreaking technologies.
Conclusion
Xiuqiao Li's contributions to the field of computing through his innovative patents and collaborative efforts at Huawei Technologies Co., Limited highlight his role as a key figure in advancing technology. His work continues to influence the landscape of data aggregation and computing efficiency.