Ann Arbor, MI, United States of America

Tongxin Yin

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: University of Michigan. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Tongxin Yin. Retrieved from https://idiyas.com/inventor/tongxin-yin

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

USPTO Granted Patents = 1 

% 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 of Tongxin Yin in Network Probing

Introduction

Tongxin Yin is an accomplished inventor based in Ann Arbor, MI (US). He has made significant contributions to the field of computer networking, particularly through his innovative patent that utilizes machine learning techniques.

Latest Patents

Tongxin Yin holds a patent titled "Adaptive network probing using machine learning." This patent describes a computer-implemented method for scanning a computer network. The method involves several steps: sending a specific network probe to a network address, receiving a response from that address, appending the response to a feature vector, determining the next network probe to conduct, and predicting the response from the next probe using a trained machine learning model. This innovative approach enhances the efficiency and accuracy of network probing.

Career Highlights

Tongxin Yin is affiliated with the University of Michigan, where he continues to advance his research and development in networking technologies. His work has garnered attention for its practical applications in improving network performance and security.

Collaborations

Tongxin has collaborated with notable colleagues, including Mingyan Liu and Kun Jin, who contribute to the research environment at the University of Michigan.

Conclusion

Tongxin Yin's innovative work in adaptive network probing exemplifies the intersection of machine learning and computer networking. His contributions are paving the way for more efficient network management solutions.

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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