Shanghai, China

Xiaofan Luan


Average Co-Inventor Count = 4.3

ph-index = 1


Company Filing History:


Years Active: 2025

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3 patents (USPTO):Explore Patents

Title: Innovations of Xiaofan Luan

Introduction

Xiaofan Luan is a notable inventor based in Shanghai, China. He has made significant contributions to the field of data query systems and database pagination. With a total of three patents to his name, Luan's work focuses on enhancing the efficiency and effectiveness of data retrieval processes.

Latest Patents

Luan's latest patents include an "Apparatus, method and storage medium for data query." This invention is applied to a question-answering system that incorporates a large language model. The system is designed to store historical query information in a vector database and the corresponding results in a scalar database. When a new query is received, the system matches it with historical data to provide quicker results, thereby reducing delays and operational costs.

Another significant patent is the "Apparatus, method and storage medium for database pagination." This invention outlines a process for handling pagination requests from users. It involves determining query parameters, pagination patterns, and generating query tasks to obtain results efficiently. The method ensures that users receive multiple pages of data in a structured manner.

Career Highlights

Throughout his career, Xiaofan Luan has worked with prominent companies such as Zilliz Inc. and Starlord (Cayman) Limited. His experience in these organizations has allowed him to refine his skills in data management and query optimization.

Collaborations

Luan has collaborated with talented individuals in his field, including Chao Xie and Yu Xie. These partnerships have contributed to the development of innovative solutions in data processing and retrieval.

Conclusion

Xiaofan Luan's contributions to the field of data query systems and database pagination highlight his innovative spirit and technical expertise. His patents reflect a commitment to improving data retrieval processes, making significant strides in the industry.

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