Beijing, China

Wei Ju

This inventor holds 1 USPTO granted patent. Top assignees: Boe Technology Group, Peking University. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Wei Ju. Retrieved from https://idiyas.com/inventor/wei-ju-4i12hjuy

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


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Wei Ju: Innovator in Reinforcement Learning and Dialogue Processing

Introduction

Wei Ju is a prominent inventor based in Beijing, China. He has made significant contributions to the fields of reinforcement learning and dialogue processing. His innovative work has led to the development of a unique training method and apparatus that enhances the capabilities of dialogue systems.

Latest Patents

Wei Ju holds a patent for a training method and apparatus, as well as a dialogue processing method and system. This patent discloses a reinforcement learning model training method that includes acquiring unlabelled and labelled data for training. The method generates an experience pool based on the unlabelled data, using the labelled data as a reference. This experience pool is then utilized to train the reinforcement learning model, showcasing a novel approach to improving dialogue systems.

Career Highlights

Throughout his career, Wei Ju has worked with notable organizations such as BOE Technology Group and Peking University. His experience in these institutions has allowed him to refine his skills and contribute to cutting-edge research in technology and artificial intelligence.

Collaborations

Wei Ju has collaborated with esteemed colleagues, including Hongwen Zhu and Li Zhou. Their joint efforts have further advanced the research and development of innovative technologies in their respective fields.

Conclusion

Wei Ju's contributions to reinforcement learning and dialogue processing exemplify his dedication to innovation. His patent and career achievements reflect his significant impact on technology and research.

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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