Qingqing Ye

Title: Qingqing Ye - Innovator in Data Processing Technologies

Introduction

Qingqing Ye is a notable inventor based in Hong Kong, CN. He has made significant contributions to the field of data processing, holding 2 patents that focus on innovative methods for data theft prevention and key-value pair data collection.

Latest Patents

One of his latest patents is a data theft prevention method and related product. This method involves a data processing apparatus that obtains target data and inputs it into a recognition model for recognition processing. The recognition model performs feature extraction on the target data to obtain a first feature vector and predicts a first label based on this vector. The method outputs a target label when a second feature vector, which is close to the first feature vector, is determined to exist. This approach enhances data security by ensuring that the target label is derived from perturbation processing on the first label.

Another significant patent by Qingqing Ye is a method and apparatus for collecting key-value pair data. In this method, first target key-value pair data is perturbed to create first perturbed key-value pair data. This allows a data collector to decide whether to include the entire perturbed data in statistical results based on specific values. This innovation improves the availability of the perturbed data, making the statistical results generated closer to those based on original user key-value pair data.

Career Highlights

Qingqing Ye has worked with prominent organizations such as Huawei Technologies Co., Limited and The Hong Kong Polytechnic University. His experience in these institutions has contributed to his expertise in data processing technologies.

Collaborations

Some of his notable coworkers include Haibo Hu and Jie Shi, who have collaborated with him on various projects.

Conclusion

Qingqing Ye's innovative work in data processing technologies showcases his commitment to enhancing data security and efficiency. His patents reflect a deep understanding of the challenges in data management and offer practical solutions to address them.