Taipei, Taiwan

Jin-Wei Liu

This inventor holds 1 USPTO granted patent. Top assignee: 17Live Japan Inc.. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jin-Wei Liu. Retrieved from https://idiyas.com/inventor/jin-wei-liu-mkua281i

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 = 4.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Innovations by Jin-Wei Liu

Introduction

Jin-Wei Liu is an accomplished inventor based in Taipei, Taiwan. He has made significant contributions to the field of quality prediction through his innovative patent. His work focuses on enhancing the accuracy of predictions related to various parameters, which can have a substantial impact on multiple industries.

Latest Patents

Jin-Wei Liu holds a patent for a "System, method and computer-readable medium for quality prediction." This patent describes a method that involves obtaining values of parameters from two different endpoints. By analyzing these values, the method generates predictions about the parameters of the first endpoint, including probability distribution information for future timings. This innovation aims to provide more precise quality predictions, which can be beneficial in various applications.

Career Highlights

Jin-Wei Liu is currently associated with 17Live Japan Inc., where he continues to develop and refine his innovative ideas. His work at the company reflects his commitment to advancing technology and improving quality prediction methodologies.

Collaborations

Jin-Wei Liu has collaborated with notable colleagues, including Li-Han Chen and Yi-Hsiung Chen. These partnerships have likely contributed to the development and success of his innovative projects.

Conclusion

Jin-Wei Liu's contributions to quality prediction through his patent demonstrate his expertise and commitment to innovation. His work not only enhances the accuracy of predictions but also showcases the potential for advancements in 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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