Beijing, China

Yamei Chen

This inventor holds 1 USPTO granted patent. Top assignee: Alibaba Group Holding Limited. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yamei Chen. Retrieved from https://idiyas.com/inventor/yamei-chen-ocpzdbp2

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Yamei Chen: Innovator in Video Signal Processing

Introduction

Yamei Chen is a notable inventor based in Beijing, China. He has made significant contributions to the field of video signal processing, particularly through his innovative patent.

Latest Patents

Yamei Chen holds a patent titled "Matrix weighted intra prediction of video signals." This patent presents methods for performing simplified matrix weighted intra prediction. The method includes determining a classification of a target block and generating a matrix-weighted intra prediction (MIP) signal based on that classification. Specifically, it addresses target blocks of varying sizes, determining their classification accordingly.

Career Highlights

Yamei Chen is associated with Alibaba Group Holding Limited, where he applies his expertise in video signal processing. His work has contributed to advancements in the technology used for video encoding and decoding.

Collaborations

Yamei Chen collaborates with talented individuals such as Xinwei Li and Ru-Ling Liao, who contribute to the innovative environment at Alibaba Group.

Conclusion

Yamei Chen's work in video signal processing exemplifies the impact of innovation in technology. His patent reflects a commitment to enhancing video processing methods, showcasing his role as a key inventor in this field.

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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