Taipei, Taiwan

Sheau-Harn Yu

This inventor holds 1 USPTO granted patent. Top assignee: National Taiwan University. Active years: 2015.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sheau-Harn Yu. Retrieved from https://idiyas.com/inventor/sheau-harn-yu

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


Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2015

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1 patent (USPTO):Explore Patents

Title: Sheau-Harn Yu: Innovator in Temporal Bipartite Projection

Introduction

Sheau-Harn Yu is a notable inventor based in Taipei, Taiwan. He has made significant contributions to the field of data analysis and prediction through his innovative methods. His work focuses on enhancing the understanding of user-object interactions and predicting potential events.

Latest Patents

Sheau-Harn Yu holds a patent for a "Method of Temporal Bipartite Projection." This patent describes a method that involves creating a sequence of user-object weighted bipartite networks. It identifies transitions for users between objects over time and constructs a temporal projection graph based on these transitions. The method also includes a link prediction component that assesses potential transitions for events that have not yet occurred.

Career Highlights

Sheau-Harn Yu is affiliated with National Taiwan University, where he continues to advance his research and development efforts. His work has implications for various applications, including recommendation systems and predictive analytics.

Collaborations

He has collaborated with esteemed colleagues such as Cheng-Shang Chang and Wanjiun Liao, contributing to the advancement of their shared research interests.

Conclusion

Sheau-Harn Yu's innovative approach to temporal bipartite projection exemplifies the potential of data-driven methodologies in predicting user behavior and events. His contributions are valuable to the fields of data science and analytics.

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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