Shenzhen, China

Junjie Zhai


Average Co-Inventor Count = 5.7

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2016-2024

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4 patents (USPTO):

Title: Junjie Zhai: Innovator in Translation Technology

Introduction

Junjie Zhai is a prominent inventor based in Shenzhen, China. He has made significant contributions to the field of translation technology, holding a total of 4 patents. His work focuses on improving the accuracy and efficiency of translation models and information recommendation systems.

Latest Patents

Junjie Zhai's latest patents include a translation model training method and a sentence translation method, device, and storage medium. The translation model training method involves obtaining a training sample set that includes pairs of training input and output samples in different languages. This method also determines a disturbance sample set for each training sample, ensuring that the training output remains consistent for both the disturbance and corresponding training samples. Additionally, he has developed an information recommendation method, apparatus, and server based on user data in an online forum. This innovation enhances the accuracy of recommendations by analyzing search behavior, browsing behavior, and click behavior data.

Career Highlights

Junjie Zhai is currently employed at Tencent Technology (Shenzhen) Company Limited, where he continues to advance his research and development in translation technologies. His work has positioned him as a key player in the tech industry, particularly in the realm of artificial intelligence and machine learning.

Collaborations

Some of his notable coworkers include Conglei Yao and Liang Wang, who collaborate with him on various projects within Tencent. Their combined expertise contributes to the innovative environment at the company.

Conclusion

Junjie Zhai's contributions to translation technology and information recommendation systems highlight his role as a leading inventor in the field. His patents reflect a commitment to enhancing communication across languages and improving user experiences in digital platforms.

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