Yunjing Dai

Title: Yunjing Dai: Innovator in Graph-Based Technologies

Introduction

Yunjing Dai is a prominent inventor based in Shanghai, China. He has made significant contributions to the field of computer science, particularly in graph-based technologies. With a total of three patents to his name, Dai's work focuses on enhancing the efficiency and effectiveness of graph analysis.

Latest Patents

Yunjing Dai's latest patents include innovative methods and systems for detecting groups within a graph using computer-based multi-threading techniques. His first patent, titled "Graph-based multi-threading group detection," presents a system that improves computing power and efficiency for analyzing large graphs. This system utilizes threads to perform tasks related to group detection based on the nodes in the graph. Each thread determines a neighbor count and generates a list of identities for the corresponding node and its neighbors. The thread transmits this list selectively to threads corresponding to a subset of neighbor nodes with more connections.

Another notable patent is the "Statistics-aware sub-graph query engine." This invention provides methods and systems for retrieving data associated with portions of a graph. It involves generating multiple graph indices that store records of data in various formats. Upon receiving a request for a sub-graph, the system analyzes edge-based attributes and selects appropriate graph indices for retrieving records associated with different portions of the sub-graph.

Career Highlights

Yunjing Dai currently works at PayPal, Inc., where he continues to develop innovative solutions in the realm of graph technologies. His expertise in this area has positioned him as a valuable asset to the company and the broader tech community.

Collaborations

Dai collaborates with talented individuals such as Jie Huang and Jun Gu, who contribute to his projects and enhance the overall innovation process.

Conclusion

Yunjing Dai's contributions to graph-based technologies demonstrate his commitment to advancing the field of computer science. His innovative patents reflect a deep understanding of complex systems and a drive to improve efficiency in data analysis.