Xinyi Zhang

Title: Xinyi Zhang - Innovator in Data Packet Classification

Introduction

Xinyi Zhang is a prominent inventor based in Beijing, China. She has made significant contributions to the field of data packet classification through her innovative methods and systems. Her work focuses on utilizing convolutional neural networks to enhance the efficiency and accuracy of data processing.

Latest Patents

Xinyi 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. Furthermore, her method converts prefix combination distributions into images, which are then used to train a convolutional neural network model. This innovative approach allows for effective classification of target rule sets based on image similarity, ultimately constructing a corresponding hash table for data packet classification. She has 1 patent to her name.

Career Highlights

Xinyi Zhang is affiliated with the Chinese Academy of Sciences, where she continues to advance her research and development in the field of data classification. Her work has garnered attention for its practical applications in improving data processing systems.

Collaborations

Xinyi collaborates with notable colleagues, including Gaogang Xie and Penghao Zhang, who contribute to her research endeavors and enhance the collaborative environment within her team.

Conclusion

Xinyi Zhang's innovative contributions to data packet classification demonstrate her expertise and commitment to advancing technology in this field. Her work not only showcases her skills as an inventor but also highlights the importance of collaboration in achieving groundbreaking advancements.