Beijing, China

Xuefei Liu

This inventor holds 1 USPTO granted patent. Top assignee: Chinese Academy of Sciences. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xuefei Liu. Retrieved from https://idiyas.com/inventor/xuefei-liu-m3hbjbzy

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

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% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Xuefei Liu: Innovator in Dialogue Emotion Correction

Introduction

Xuefei Liu is a prominent inventor based in Beijing, China. He has made significant contributions to the field of emotion recognition through his innovative methods. His work focuses on enhancing the accuracy of dialogue emotion prediction using advanced technologies.

Latest Patents

Xuefei Liu holds a patent for a "Dialogue emotion correction method based on graph neural network." This method involves extracting acoustic, text, and image features from video files to create multi-modal features. It predicts the emotional tone of each sentence in a dialogue and refines these predictions by incorporating interaction information between speakers. The process culminates in a more accurate emotion recognition result, leveraging time-series information fused with emotional features.

Career Highlights

Xuefei Liu is affiliated with the Chinese Academy of Sciences, where he conducts research and development in the field of artificial intelligence and emotion recognition. His innovative approach has garnered attention in both academic and industry circles.

Collaborations

Xuefei Liu collaborates with notable colleagues, including Jianhua Tao and Zheng Lian, who contribute to his research endeavors. Their combined expertise enhances the quality and impact of their work.

Conclusion

Xuefei Liu's contributions to dialogue emotion correction represent a significant advancement in the field of artificial intelligence. His innovative methods pave the way for more accurate emotional recognition in various applications.

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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