Princeton, NJ, United States of America

Zhichun Li

USPTO Granted Patents = 40 

 

Average Co-Inventor Count = 5.3

ph-index = 6

Forward Citations = 108(Granted Patents)


Location History:

  • Plainsboro, NJ (US) (2014 - 2016)
  • Princeton, NJ (US) (2017 - 2022)
  • Santa Clara, CA (US) (2022)

Company Filing History:


Years Active: 2014-2022

where 'Filed Patents' based on already Granted Patents

40 patents (USPTO):

Title: The Innovative Contributions of Zhichun Li in Cybersecurity and Machine Learning

Introduction: Zhichun Li, based in Princeton, NJ, has made significant contributions to the fields of cybersecurity and machine learning with a remarkable portfolio of 40 patents. His innovative work focuses on advanced methods for detecting malicious program behavior and implementing confidential machine learning solutions.

Latest Patents: Among his notable recent patents is the technique titled "Unknown malicious program behavior detection using a graph neural network." This patent addresses the detection of abnormal events in programs by verifying system activity data and analyzing unverified program data. It employs a graph neural network to learn program representations through an attentional architecture, facilitating the generation of detection results and executing corrective actions based on those outcomes.

Another significant patent is "Confidential machine learning with program compartmentalization." This method outlines a structured approach to designing machine learning programs while ensuring the confidentiality of both the ML model and the program. By implementing program analysis and careful code annotations, it aims to protect against potential attacks.

Career Highlights: Zhichun Li has had a noteworthy career, including his work at NEC Corporation and NEC Laboratories America, Inc. His experiences with these leading companies have enriched his understanding and expertise in technological innovations.

Collaborations: Throughout his career, Zhichun has collaborated with esteemed colleagues such as Guofei Jiang and Zhenyu Wu. Their collective expertise has likely contributed to the development of groundbreaking techniques in the realms of cybersecurity and machine learning.

Conclusion: Zhichun Li stands out as a prolific inventor with a strong focus on enhancing cybersecurity measures and ensuring the confidentiality of machine learning applications. His 40 patents reflect a commitment to innovation and contribute significantly to advancements in technology. As the field evolves, his work continues to have a lasting impact.

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