This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Zoom Communications, Inc.. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Shujian Liu: Innovator in Hybrid Retrieval Augmented Generation
Introduction
Shujian Liu is a notable inventor based in Newton, MA (US). He has made significant contributions to the field of document retrieval and generation through his innovative patent. His work focuses on enhancing the efficiency and effectiveness of querying rich documents using advanced language models.
Latest Patents
Shujian Liu holds a patent titled "Hybrid retrieval augmented generation for rich document queries using a large language model." This patent discloses techniques for implementing hybrid retrieval augmented generation for rich document queries using a large language model (LLM). In his method, a computing system receives documents that are added to databases. The system then receives a query, from which tokens are generated. It determines a first ranking of the documents using a probabilistic ranking method and a second ranking in response to a vector database query using an embedded representation. The system combines these rankings to select top documents and determines a knowledge graph based on them. Finally, it outputs the query, the top documents, and a portion of the knowledge graph to the LLM, receiving and outputting a response.
Career Highlights
Shujian Liu is currently employed at Zoom Communications, Inc., where he continues to innovate and develop new technologies. His work has positioned him as a key player in the field of document retrieval and artificial intelligence.
Collaborations
Shujian collaborates with talented individuals such as Jun Tan and Ying Lu, contributing to a dynamic and innovative work environment.
Conclusion
Shujian Liu's contributions to hybrid retrieval augmented generation demonstrate his commitment to advancing technology in document querying. His innovative patent reflects his expertise and dedication to improving the efficiency of information retrieval systems.