Gaogang Xie

Title: Gaogang Xie: Innovator in Data Packet Classification

Introduction

Gaogang Xie is a prominent inventor based in Beijing, China. He has made significant contributions to the field of data packet classification, holding 2 patents that showcase his innovative approach to technology.

Latest Patents

One of his latest patents is a "Data packet classification method and system based on convolutional neural network." This invention involves merging each rule set in a training rule set to form multiple merging schemes. It determines the optimal merging scheme for each rule set based on performance evaluation. The method converts a prefix combination distribution of each rule set into an image and trains a convolutional neural network model using this image and the corresponding optimal merging scheme as features. The classification of the target rule set is based on image similarity, leading to the construction of a corresponding hash table for data packet classification.

Another notable patent is the "Multi-level flow table search method and apparatus." This method extracts matching information of a data packet upon receipt and selects a keyword from this information according to flow-table match-field configuration. It searches for a match field in a multi-level flow table, starting from the first-level flow table, using the keyword as a search keyword. The method executes corresponding actions based on the matching results, enhancing the efficiency of data packet processing.

Career Highlights

Gaogang Xie has worked with notable organizations such as Huawei Technologies Co., Limited and the Chinese Academy of Sciences. His experience in these leading companies has contributed to his expertise in the field of data packet classification.

Collaborations

He has collaborated with esteemed colleagues, including Wanfu Ding and Chengyong Lin, further enriching his work and contributions to the field.

Conclusion

Gaogang Xie's innovative patents and career achievements highlight his significant role in advancing data packet classification technologies. His work continues to influence the industry and pave the way for future innovations.