Beijing, China

Haosu Guo

This inventor holds 1 USPTO granted patent. Top assignee: Baidu Online Network Technology (Beijing) Co., Ltd.. Active years: 2022.

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

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 = 4.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Haosu Guo: Innovator in Secure Multi-Party Computation

Introduction

Haosu Guo is a prominent inventor based in Beijing, China. He has made significant contributions to the field of secure multi-party computation. His innovative work has led to the development of a patented method that enhances data security in multi-party environments.

Latest Patents

Haosu Guo holds a patent for a "Secure multi-party computation method, device, apparatus and computer-readable storage medium." This patent outlines a method that dynamically converts a multi-party computation program segment into a first garbled circuit. The process involves executing garbled gates of the first garbled circuit in sequence to encrypt data, transmitting the encrypted data to a second main body, and performing a second encryption to ensure data security.

Career Highlights

Haosu Guo is currently employed at Baidu Online Network Technology (Beijing) Co., Ltd. His work at Baidu has allowed him to collaborate with other talented professionals in the field. He has gained recognition for his innovative approaches to secure computation.

Collaborations

Some of Haosu Guo's notable coworkers include Zhi Feng and Yu Zhang. Their collaborative efforts contribute to the advancement of technology in secure multi-party computation.

Conclusion

Haosu Guo's contributions to secure multi-party computation exemplify his dedication to innovation and technology. His patented methods are paving the way for enhanced data security in multi-party environments.

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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