Hangzhou, China

Xinxing Yang

USPTO Granted Patents = 7 

 

Average Co-Inventor Count = 3.4

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2020-2022

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7 patents (USPTO):Explore Patents

Title: Innovations of Xinxing Yang: A Pioneer in Data Classification and Encryption

Introduction

Xinxing Yang is a notable inventor based in Hangzhou, China, recognized for his contributions to the fields of data classification and encryption. With a total of seven patents to his name, Yang has made significant strides in enhancing the accuracy of data prediction and recommendation systems.

Latest Patents

Among his latest patents is a multi-classifier-based recommendation method and device, which addresses the technical problem of low accuracy in data classification prediction. This innovative method involves obtaining a target sub-classifier from multiple sub-classifiers based on received data. By combining prediction data from both a primary classifier and the target sub-classifier, Yang's approach improves the accuracy of data recommendations. Another significant patent involves a method and apparatus for encrypting data, utilizing a Principal Component Analysis (PCA) algorithm to generate an encryption matrix for training machine learning models. This advancement showcases Yang's commitment to pushing the boundaries of technology in data processing.

Career Highlights

Xinxing Yang has worked with prominent companies such as Advanced New Technologies Co., Ltd. and Alibaba Group Holding Limited. His experience in these organizations has allowed him to develop and refine his innovative ideas, contributing to the advancement of technology in his field.

Collaborations

Yang has collaborated with notable colleagues, including Jun Zhou and Shaosheng Cao, further enhancing his work through shared expertise and insights.

Conclusion

Xinxing Yang's innovative contributions to data classification and encryption demonstrate his significant impact on technology. His patents reflect a deep understanding of complex data systems and a commitment to improving accuracy in data processing.

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