Los Altos, CA, United States of America

Lianghao Li

This inventor holds 1 USPTO granted patent. Top assignee: Airbnb, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Lianghao Li. Retrieved from https://idiyas.com/inventor/lianghao-li-uwq1lt59

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

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Lianghao Li and Real-Time Guest-Host Issue Detection

Introduction

Lianghao Li is an inventor based in Los Altos, California, and works at Airbnb, Inc. His patent work includes a system for identifying potential issues in messages exchanged between guests and hosts.

Latest Patents

Li is associated with one patent, titled “Systems and Methods for Detecting Real-Time Issues in Guest-Host Messages Using Machine Learning Models.” The invention analyzes messages in a conversational thread using separate machine-learning models to estimate the likelihood of guest issues and host issues. When specified keywords appear and the relevant probability exceeds a predetermined threshold, the system provides an alert visible only to the guest or host, as appropriate. Li’s listed portfolio includes 1 patent.

Career Highlights

At Airbnb, Li’s patent work addresses real-time detection of issues in guest-host communications. The approach uses message features and threshold-based alerts to help surface potential concerns during a conversation.

Collaborations

Li’s listed coworkers include Zachary Barbitta and Morris Chuang. The patent focuses on machine-learning methods for detecting potential issues in guest-host messages.

Conclusion

Li’s patent reflects an application of machine learning to timely, role-specific issue detection in conversational messaging.

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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