Mingzhen Xia

Title: Mingzhen Xia: Innovator in Graph Data Processing

Introduction

Mingzhen Xia is a prominent inventor based in Hangzhou, China. He has made significant contributions to the field of data processing, particularly in graph data methodologies. With a total of 12 patents to his name, his work has garnered attention in both academic and industrial circles.

Latest Patents

Mingzhen Xia's latest patents include innovative methods and systems for graph data processing. One notable patent describes a graph data processing method where a master node obtains graph data consisting of M vertexes and multiple directional edges. The method involves dividing the graph data into P non-overlapping shards, each containing at least one incoming edge directed to a vertex within the shard. This approach allows for efficient scheduling of edge sets for processing by multiple worker nodes. Another significant patent focuses on an entity search method, which utilizes classifiers to determine correlations between query information and candidate entities, ultimately identifying a target entity based on these correlations.

Career Highlights

Throughout his career, Mingzhen Xia has worked with notable organizations, including Huawei Technologies Co., Limited and the University of Illinois. His experience in these institutions has allowed him to develop and refine his innovative ideas in data processing.

Collaborations

Mingzhen Xia has collaborated with esteemed colleagues such as Song Jiang and Yinglong Xia. These partnerships have contributed to the advancement of his research and the successful development of his patents.

Conclusion

Mingzhen Xia stands out as a key figure in the realm of graph data processing, with a robust portfolio of patents that reflect his innovative spirit. His contributions continue to influence the field and inspire future advancements in technology.