Santa Clara, CA, United States of America

Lin Zhu

This inventor holds 3 USPTO granted patents and 1 published patent application. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2022-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Lin Zhu. Retrieved from https://idiyas.com/inventor/lin-zhu-nrnvw9fs

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

Calculating rank
USPTO Granted Patents = 3 

% Patents Active = 100.0

Average Co-Inventor Count = 6.9

ph-index = 1


Company Filing History:


Years Active: 2022-2023

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3 patents (USPTO):Explore Patents

Title: Innovations of Lin Zhu

Introduction

Lin Zhu is an accomplished inventor based in Santa Clara, CA. He has made significant contributions to the field of technology, particularly in the areas of skill validation and multi-task learning frameworks. With a total of 3 patents, his work has garnered attention for its innovative approaches to machine learning and user attribute evaluation.

Latest Patents

One of Lin Zhu's latest patents focuses on skill validation. This invention discloses apparatuses, computer-readable mediums, and methods for verifying the skills of members within an online connection network. The method includes responding to a first member indicating a skill they possess by selecting a skill verification user interface (UI) to present to a second member. The UI presents an indication of the first member, the skill, and a query regarding the competence level of the skill. The method further includes receiving a response to the query and determining a skill validation value based on the response and a machine learning model.

Another notable patent is a multi-task learning framework for multi-context machine learning. This framework infers a user's value for a particular attribute through a multi-task machine learning process that incorporates signals from multiple contexts. It aims to measure a user's attribute level under varying contexts, acknowledging that the user's value can differ based on situational factors. Machine learning models are utilized to estimate attribute values across different contexts, employing multi-task deep learning to level attributes effectively.

Career Highlights

Lin Zhu is currently employed at Microsoft Technology Licensing, LLC, where he continues to innovate and develop new technologies. His work has been instrumental in advancing the understanding of user attributes and skill validation in online environments.

Collaborations

Lin has collaborated with notable colleagues, including Xiao Yan and Jaewon Yang, contributing to a dynamic and innovative work environment.

Conclusion

Lin Zhu's contributions to technology through his patents and innovative frameworks highlight his expertise in machine learning and skill validation. His work continues to influence the field and pave the way for future advancements.

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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