Shenzhen, China

Xinjie Chen

This inventor holds 1 USPTO granted patent. Top assignee: Huawei Technologies Co., Limited. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xinjie Chen. Retrieved from https://idiyas.com/inventor/xinjie-chen-eruzab74

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations of Xinjie Chen in Data Sequence Prediction

Introduction

Xinjie Chen is a notable inventor based in Shenzhen, China. He has made significant contributions to the field of data sequence prediction. His innovative approach has led to the development of a unique method that enhances the accuracy of predicting future data sequences.

Latest Patents

Xinjie Chen holds a patent for a "Data sequence prediction method and computing device." This method involves calculating a similarity distance between historical data sequences of multiple objects. By utilizing a clustering algorithm, he divides these objects into prediction classes, allowing for more accurate future data sequence predictions. He has 1 patent to his name.

Career Highlights

Xinjie Chen is currently employed at Huawei Technologies Co., Limited. His work at this leading technology company has allowed him to focus on advanced computing methods and data analysis techniques. His contributions have been instrumental in enhancing the capabilities of predictive technologies.

Collaborations

Xinjie Chen collaborates with talented coworkers, including Di Chen and Jia Zeng. Their combined expertise fosters an environment of innovation and creativity, leading to groundbreaking advancements in their field.

Conclusion

Xinjie Chen's work in data sequence prediction exemplifies the impact of innovative thinking in technology. His contributions continue to shape the future of data analysis and predictive modeling.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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