Penghao Zhang

Title: Innovations of Penghao Zhang in Data Packet Classification

Introduction

Penghao Zhang is a notable inventor based in Beijing, China. He has made significant contributions to the field of data packet classification through his innovative methods and systems. His work primarily focuses on utilizing convolutional neural networks to enhance the efficiency and accuracy of data processing.

Latest Patents

Penghao Zhang holds a patent for a "Data packet classification method and system based on convolutional neural network." This patent outlines a comprehensive approach that includes merging rule sets in a training rule set to create multiple merging schemes. It also involves determining the optimal merging scheme based on performance evaluation. The method converts prefix combination distributions into images and trains a convolutional neural network model using these images and their corresponding optimal merging schemes. Ultimately, it classifies target rule sets based on image similarity and constructs a hash table for effective data packet classification. He has 1 patent to his name.

Career Highlights

Penghao Zhang is affiliated with the Chinese Academy of Sciences, where he continues to advance research in his field. His work has garnered attention for its innovative approach to data classification, which is crucial in the era of big data and network security.

Collaborations

He collaborates with esteemed colleagues such as Gaogang Xie and Xinyi Zhang, contributing to a dynamic research environment that fosters innovation and development.

Conclusion

Penghao Zhang's contributions to data packet classification through convolutional neural networks exemplify the intersection of technology and innovation. His work not only enhances data processing capabilities but also sets a foundation for future advancements in the field.