Location History:
- Hong Kong, CN (2020)
- Shenzhen, CN (2020 - 2021)
Company Filing History:
Years Active: 2020-2021
Title: Jiefeng Cheng: Innovator in Graph Computing
Introduction
Jiefeng Cheng is a prominent inventor based in Shenzhen, China. He has made significant contributions to the field of graph computing, holding a total of 3 patents. His work focuses on improving the efficiency and effectiveness of graph partitioning and querying methods.
Latest Patents
One of Jiefeng Cheng's latest patents is a "Graph partitioning method and apparatus." This method involves extracting edges and determining whether the aggregation degree between the extracted edge and an allocated edge meets a preset condition. When the condition is satisfied, the method checks if the number of allocated edges in the first device is below a certain threshold. This approach ensures a high aggregation degree among allocated edges and balances the load across devices, ultimately enhancing distributed graph computing efficiency.
Another notable patent is the "Method and apparatus for querying nondeterministic graph." This invention aims to facilitate quick queries of nondeterministic graphs while reducing query complexity. The method includes receiving a query instruction, identifying two vertices in the graph, and determining all possible paths between them. By calculating the probabilities of events corresponding to these paths, the method provides efficient query results.
Career Highlights
Jiefeng Cheng is currently employed at Huawei Technologies Co., Limited, where he continues to innovate in the field of graph computing. His work has garnered attention for its practical applications in improving communication efficiency and computational performance.
Collaborations
Throughout his career, Jiefeng has collaborated with notable colleagues, including Zhenguo Li and Wei Fan. Their combined expertise has contributed to advancements in their respective fields.
Conclusion
Jiefeng Cheng is a distinguished inventor whose work in graph computing has led to significant advancements in the efficiency of data processing. His innovative patents reflect his commitment to enhancing technology in this area.
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