Beijing, China

Nengjun Zhu

This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Beijing Baidu Netcom Science Technology Co., Ltd. Active years: 2023.


% Patents Active = 100.0

 

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Nengjun Zhu: Innovator in Resident Area Prediction Technology

Introduction

Nengjun Zhu is a prominent inventor based in Beijing, China. He has made significant contributions to the field of artificial intelligence and big data through his innovative work. His expertise lies in developing methods and devices that enhance the prediction of resident areas for users.

Latest Patents

Nengjun Zhu holds a patent for a "Resident area prediction method, apparatus, device, and storage medium." This patent involves advanced technologies such as artificial intelligence, big data, deep learning, and multi-task learning. The method includes acquiring resident area data of a target user, which encompasses the user's resident area and corresponding resident time. By utilizing an area relationship model, Zhu's invention determines the association between different resident areas and predicts a target resident area based on time-sequence relationships and user attributes.

Career Highlights

Nengjun Zhu is currently employed at Beijing Baidu Netcom Science Technology Co., Ltd. His work at Baidu has allowed him to collaborate with leading experts in the field, further enhancing his contributions to technology and innovation.

Collaborations

Some of his notable coworkers include Xinjiang Lu and Hui Xiong, who have also played significant roles in advancing technology within their respective areas of expertise.

Conclusion

Nengjun Zhu's innovative work in resident area prediction technology showcases his commitment to leveraging artificial intelligence and big data for practical applications. His contributions are paving the way for advancements in user experience and data analysis.

Profile summary based on public USPTO records.
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