Guangzhou, China

Yingying Zhao

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Sun Yat-Senuniversity. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yingying Zhao. Retrieved from https://idiyas.com/inventor/yingying-zhao-jabl610q

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

Calculating rank
USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Yingying Zhao: Innovator in Hop Count Matrix Recovery

Introduction

Yingying Zhao is a prominent inventor based in Guangzhou, China. She has made significant contributions to the field of data recovery through her innovative methods. Her work focuses on enhancing the accuracy and efficiency of hop count matrix recovery.

Latest Patents

Yingying Zhao holds a patent for a "Method of hop count matrix recovery based on decision tree classifier." This method involves several steps, including performing a flooding process to acquire a hop count matrix with missing entries. It also includes constructing a training sample set based on observed hop counts and training a decision tree classifier. The ultimate goal is to recover a complete hop count matrix by predicting missing values.

Career Highlights

Yingying Zhao is affiliated with Sun Yat-sen University, where she continues to advance her research and contribute to the academic community. Her work has garnered attention for its practical applications in data analysis and recovery.

Collaborations

Yingying Zhao collaborates with notable colleagues, including Xingcheng Liu and Yitong Liu. These partnerships enhance her research and contribute to the development of innovative solutions in her field.

Conclusion

Yingying Zhao's contributions to hop count matrix recovery exemplify her dedication to innovation and research. Her patent reflects her expertise and commitment to advancing technology in data recovery.

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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