Palo Alto, CA, United States of America

Hao Xu

This inventor holds 13 USPTO granted patents and 2 published patent applications. Top assignees: Meta Platforms, Inc., Zscaler, Inc.. Active years: 2015-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hao Xu. Retrieved from https://idiyas.com/inventor/hao-xu-noz7t6cb

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

USPTO Granted Patents = 13 

% Patents Active = 69.2

Average Co-Inventor Count = 3.4

ph-index = 3

Forward Citations = 44(Granted Patents)


Company Filing History:


Years Active: 2015-2025

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13 patents (USPTO):Explore Patents

Title: Inventor Hao Xu: Pioneering Malware Detection Through Machine Learning

Introduction

Hao Xu, an innovative inventor based in Palo Alto, California, has made significant contributions in the field of cybersecurity. With 13 patents to his name, he is recognized for his groundbreaking work in intelligent machine learning-based malware detection systems.

Latest Patents

Hao Xu's latest patents revolve around advanced methods for identifying malware using machine learning techniques. One notable invention details the systems and methods for intelligent machine learning-based malware detection. This method involves receiving multiple packets associated with a file and extracting important features from these packets. A trained machine learning model is then applied to ascertain the probability of maliciousness of the first packet, and if the results fall within a specific threshold, the package is labeled as having uncertain maliciousness. The method further extends to examining additional packets and utilizing their extracted features to assess the probability of maliciousness of subsequent packets.

Another significant patent by Xu details a system that analyzes files on a per packet basis, converting binary content into a digital representation and extracting various features such as n-gram and entropy features. By using a trained machine learning model, this method can effectively determine if the file associated with a received packet is malicious, expediting the process of malware detection.

Career Highlights

Throughout his career, Hao Xu has worked with prestigious companies such as Facebook, Inc. and Zscaler, Inc. His experience with these organizations has honed his skills and contributed significantly to the development of his patented technologies.

Collaborations

Hao has collaborated with notable coworkers like Javier Olivan Lopez and Huihsin Tseng on various projects. These partnerships have fostered an environment of innovation and have led to the advancement of technologies that strongly impact cybersecurity.

Conclusion

In conclusion, Hao Xu's various patents highlight his commitment to enhancing malware detection through innovative machine learning approaches. His contributions have not only furthered the field of cybersecurity but also established him as a significant figure in technological advancements. With ongoing developments, the impact of his work is likely to grow even more substantial in the coming years.

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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