Shanghai, China

Xiao Qin Li

This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xiao Qin Li. Retrieved from https://idiyas.com/inventor/xiao-qin-li

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: Innovations of Xiao Qin Li in Multi-Dimensional Data Recovery

Introduction

Xiao Qin Li is an accomplished inventor based in Shanghai, China. She has made significant contributions to the field of data recovery, particularly through her innovative patent. Her work focuses on enhancing the efficiency and effectiveness of multi-dimensional data recovery processes.

Latest Patents

Xiao Qin Li holds a patent for a method, system, and computer program product for multi-dimensional data recovery. The patent describes a computer-implemented method that involves receiving a snapshot restore request with parameters defining dimensions for data recovery. It details how at least one snapshot is reconstructed from a continuous snapshot stream taken over a specific period. The selected snapshot is then restored based on the reconstructed data.

Career Highlights

Xiao Qin Li is currently employed at International Business Machines Corporation, commonly known as IBM. Her role at IBM allows her to work on cutting-edge technologies and contribute to advancements in data recovery solutions.

Collaborations

Some of her notable coworkers include Ning Ding and Bo Zou, who collaborate with her on various projects within the company.

Conclusion

Xiao Qin Li's innovative work in multi-dimensional data recovery showcases her expertise and commitment to advancing technology in this field. Her contributions are valuable to the ongoing development of efficient data recovery methods.

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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