Beijing, China

Xiaoran Cao

This inventor holds 12 USPTO granted patents and 5 published patent applications and 3 EPO patents. Top assignees: Tsinghua University, Huawei Technologies Co., Limited, Huawei Technologies Co., Ltd.. Active years: 2015-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xiaoran Cao. Retrieved from https://idiyas.com/inventor/xiaoran-cao

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

USPTO Granted Patents = 12 

% Patents Active = 100.0

 

Average Co-Inventor Count = 4.0

ph-index = 2

Forward Citations = 13(Granted Patents)


Company Filing History:


Years Active: 2015-2026

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12 patents (USPTO):Explore Patents

Title: Innovations of Xiaoran Cao in Image Encoding and Decoding

Introduction

Xiaoran Cao is a prominent inventor based in Beijing, China. He has made significant contributions to the field of image processing, particularly in encoding and decoding methods. With a total of 12 patents to his name, his work has advanced the efficiency and accuracy of image data handling.

Latest Patents

Cao's latest patents focus on innovative encoding and decoding methods that utilize multiple image block division manners. One of his notable inventions is a decoding method that involves parsing a bitstream to determine if a current coding block needs partitioning. If partitioning is required, the method identifies whether to partition the block horizontally or vertically. The block is then divided into four rectangular subblocks accordingly, which are used to reconstruct the original coding block.

Additionally, he has developed an encoding method that also employs multiple image block division manners. This method determines the division manner and direction of an image block, allowing for the sequential arrangement of image subblocks. It assesses whether these subblocks require further subdivision and, if not, predicts the encoding object in the frame based on the subblocks to obtain residual data. This process includes transformation, quantization, and entropy encoding, ultimately writing the division manner, direction, and coded residual data into a bitstream. This innovative approach enhances prediction accuracy, especially when dealing with minor pixel value changes.

Career Highlights

Xiaoran Cao has worked with esteemed organizations such as Tsinghua University and Huawei Technologies Co., Limited. His experience in these institutions has allowed him to collaborate on cutting-edge research and development projects, further solidifying his reputation as a leading inventor in his field.

Collaborations

Cao has collaborated with notable colleagues, including Yun He and Changcai Lai. These partnerships have contributed to the advancement of his research and the successful development of his patented technologies.

Conclusion

Xiaoran Cao's innovative work in image encoding and decoding has significantly impacted the field of image processing. His patents reflect a deep understanding of the complexities involved in image data handling, showcasing his expertise and dedication to advancing technology.

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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