Los Angeles, CA, United States of America

Haiyang Shi

This inventor holds 2 USPTO granted patents and 2 published patent applications. Top assignee: Beijing Volcano Engine Technology Co., Ltd.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Haiyang Shi. Retrieved from https://idiyas.com/inventor/haiyang-shi-27v1p7n8

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

Calculating rank
USPTO Granted Patents = 2 

% Patents Active = 100.0

Average Co-Inventor Count = 2.4

ph-index = 1


Company Filing History:


Years Active: 2025

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2 patents (USPTO):Explore Patents

Title: Innovations of Haiyang Shi

Introduction

Haiyang Shi is a notable inventor based in Los Angeles, CA. He has made significant contributions to the field of data management and caching technologies. With a total of 2 patents, his work focuses on enhancing data accessibility and efficiency.

Latest Patents

Haiyang Shi's latest patents include a method and apparatus for data caching based on data popularity. This innovation involves receiving access data from clients, determining the popularity of target data, and caching it in a location that optimizes read-write speed. Another patent he holds is related to a data shuffling method, which includes acquiring shuffling requests and efficiently distributing data segments to target servers.

Career Highlights

He is currently employed at Beijing Volcano Engine Technology Co., Ltd., where he continues to develop cutting-edge technologies. His work has been instrumental in advancing data processing methods that cater to modern computing needs.

Collaborations

Some of his coworkers include Hao Wang and Xiao Liu, who contribute to the innovative environment at their company.

Conclusion

Haiyang Shi's contributions to data caching and shuffling technologies reflect his expertise and commitment to innovation in the tech industry. His patents are a testament to his ability to address complex challenges in data management.

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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