Jinlei Jiang

Title: Jinlei Jiang: Innovator in Graph Computing

Introduction

Jinlei Jiang is a prominent inventor based in Beijing, China. He has made significant contributions to the field of graph computing, holding a total of 2 patents. His work focuses on developing systems and methods that enhance the efficiency of graph-related computations.

Latest Patents

Jinlei Jiang's latest patents include innovative systems for general-purpose out-of-core random walk graph computing. This patent outlines methods for performing random walk graph computing by generating a subset of walkers on a graph and maintaining them in a walker pool. It also describes the process of loading graph data from non-volatile storage and utilizing pre-sampled edges for efficient walker movement.

Another notable patent is for systems and methods for general-purpose temporal graph computing. This invention involves receiving an input temporal graph and generating hub vertices for each vertex instance. The method includes solving minimum path problems by scanning a directed acyclic graph (DAG) created from the input graph.

Career Highlights

Jinlei Jiang is affiliated with Tsinghua University, where he continues to advance research in graph computing. His work has garnered attention for its practical applications in various fields, including data analysis and network optimization.

Collaborations

Jinlei has collaborated with notable colleagues such as Kang Chen and Yongwei Wu, contributing to the advancement of their shared research interests.

Conclusion

Jinlei Jiang's innovative work in graph computing positions him as a key figure in the field. His patents reflect a commitment to enhancing computational methods, making significant strides in technology.