Years Active: 2024
Title: Innovations by Xuechen Zhang in Knowledge Graph-Based Case Retrieval
Introduction
Xuechen Zhang is an innovative inventor based in Guangdong, China. He has made significant contributions to the field of legal technology through his inventive work. His focus on knowledge graph-based methodologies has the potential to transform how legal cases are retrieved and analyzed.
Latest Patents
Xuechen Zhang holds a patent for a "Knowledge graph-based case retrieval method, device and equipment, and storage medium." This application discloses a method that constructs a legal case knowledge graph based on text information. The process involves performing random-walk sampling on node set data to obtain multiple pieces of sequence data. A model is then trained using a word2vec algorithm to create an updated target model. The method further analyzes target text information to construct a to-be-retrieved knowledge graph, which is used to retrieve relevant case information based on similarities.
Career Highlights
Throughout his career, Xuechen Zhang has demonstrated a commitment to advancing legal technology. His innovative approaches have garnered attention in the field, showcasing his ability to integrate complex data structures into practical applications. His work is paving the way for more efficient legal research and case retrieval processes.
Collaborations
Xuechen Zhang has collaborated with notable colleagues, including Jiawei Liu and Xiuming Yu. Their combined expertise has contributed to the development of advanced methodologies in legal case retrieval.
Conclusion
Xuechen Zhang's contributions to knowledge graph-based case retrieval highlight his innovative spirit and dedication to improving legal technology. His patent and collaborative efforts are setting new standards in the field, making legal research more efficient and effective.