Location History:
- Shenzhen, CN (2016)
- Hangzhou, CN (2019 - 2022)
- Saint Petersburg, RU (2022 - 2023)
Company Filing History:
Years Active: 2016-2023
Title: Innovations of Inventor Kun Guan
Introduction
Kun Guan is a prominent inventor based in Hangzhou, China, recognized for his contributions to data storage technologies. With a total of four patents to his name, Kun has made significant advancements in enhancing data management and deduplication processes.
Latest Patents
Among his latest innovations are two notable patents. The first is a "Data storage method in a storage system and related device," which involves calculating a similar fingerprint for data to determine similarities with stored information. This method also incorporates differential data storage techniques to improve efficiency. The second patent is titled "Method and system of similarity-based deduplication." This invention focuses on improving data storage through the use of discrete wavelet transform coefficients, locality-sensitive fingerprints, and differential compression to enhance data retrieval and storage optimization.
Career Highlights
Kun Guan has established himself as a valued member of Huawei Technologies Co., Limited, a global leader in telecommunications and information technology. His work at Huawei has allowed him to contribute to cutting-edge innovations in data storage solutions and improve overall system performance. His expertise in this field is reflected in his patent portfolio.
Collaborations
During his tenure at Huawei, Kun has collaborated with several esteemed colleagues, including Shaohui Quan and Gongyi Wang. This collaborative environment fosters innovation and enables the team to tackle complex challenges related to technology and data management.
Conclusion
Kun Guan is a forward-thinking inventor whose patents are shaping the future of data storage and management. His cutting-edge technologies not only contribute to Huawei's success but also enhance how data is processed and stored globally. As data continues to grow, inventions like those of Kun are essential to meeting the increasing demands for efficient data solutions.