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For the Inventor, By the Inventor

Irvine, CA, United States of America

Xuan Zhao

USPTO Granted Patents = 25 

 

Average Co-Inventor Count = 5.8

ph-index = 6

Forward Citations = 193(Granted Patents)


Company Filing History:

goldMedal25 out of 109 
 
Cylance Inc.
 patents

Years Active: 2016-2023

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25 patents (USPTO):Explore Patents
1. 11797826 - Machine learning model for analysis of instruction sequences (2023-10-24),
2. 11556648 - Machine learning model for malware dynamic analysis (2023-01-17),
3. 11283818 - Container file analysis using machine learning model (2022-03-22),
4. 11204997 - Retention and accessibility of data characterizing events on an endpoint computer (2021-12-21),
5. 11204996 - Retention and accessibility of data characterizing events on an endpoint computer (2021-12-21),
6. 11188646 - Training a machine learning model for container file analysis (2021-11-30),
7. 11182471 - Isolating data for analysis to avoid malicious attacks (2021-11-23),
8. 11074494 - Machine learning model for analysis of instruction sequences (2021-07-27),
9. 10922604 - Training a machine learning model for analysis of instruction sequences (2021-02-16),
10. 10885401 - Icon based malware detection (2021-01-05),
11. 10754948 - Protecting devices from malicious files based on n-gram processing of sequential data (2020-08-25),
12. 10685112 - Machine learning model for malware dynamic analysis (2020-06-16),
13. 10637874 - Container file analysis using machine learning model (2020-04-28),
14. 10503901 - Training a machine learning model for container file analysis (2019-12-10),
15. 10354173 - Icon based malware detection (2019-07-16),

Title: Innovations by Xuan Zhao: A Leader in Machine Learning Patent Development

Introduction

Xuan Zhao is a prominent inventor based in Irvine, CA, known for his substantial contributions to the field of machine learning. With an impressive portfolio of 25 patents, Zhao has established himself as a leading figure in technological advancements.

Latest Patents

Xuan Zhao's latest innovations include a groundbreaking patent on a machine learning model specifically designed for the analysis of instruction sequences. This system effectively classifies instruction sequences by utilizing a trained machine learning model that identifies interdependencies among various tokens, ultimately determining a classification based on those interrelations. The output of this innovative system provides valuable insights, enhancing the efficiency of instruction sequence analysis.

Another notable patent attributed to Zhao focuses on a machine learning model for malware dynamic analysis. This system analyzes a series of events that occur during the execution of a data object. By extracting subsequences of events, the machine learning model determines whether the received data is malicious or benign, alerting users to potential threats. This patent underscores Zhao's commitment to advancing cybersecurity through innovative technologies.

Career Highlights

Xuan Zhao currently works for Cylance Inc., a leading cybersecurity firm that utilizes artificial intelligence to deliver innovative solutions. His work at Cylance Inc. has been instrumental in developing cutting-edge technologies that leverage machine learning for enhanced data security.

Collaborations

Throughout his career, Zhao has collaborated with several accomplished professionals, including Matthew Wolff and Derek A Soeder. These partnerships have fostered an environment of innovation, enabling the development of highly sophisticated technological solutions.

Conclusion

Xuan Zhao's contributions to machine learning and cybersecurity through his numerous patents exemplify his dedication to innovation. As he continues to push the boundaries of technology at Cylance Inc., his work paves the way for a more secure digital future.

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