Patents by Inventor Weigsheng LI

Weigsheng LI has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 12333394
    Abstract: Emails or other communications are labeled with a category label such as “spam” or “good” without using confidential or Personally Identifiable Information (PII). The category label is based on features of the emails such as metadata that do not contain PII. Graphs of inferred relationships between email features and category labels are used to assign labels to emails and to features of the emails. The labeled emails are used as a training dataset for training a machine learning model (“MLM”). The MLM identifies unwanted emails such as spam, bulk email, phishing email, and emails that contain malware.
    Type: Grant
    Filed: October 31, 2022
    Date of Patent: June 17, 2025
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Yi Luo, Weigsheng Li, Sharada Shirish Acharya, Mainak Sen, Ravi Kiran Reddy Poluri, Christian Rudnick
  • Publication number: 20230077990
    Abstract: Emails or other communications are labeled with a category label such as “spam” or “good” without using confidential or Personally Identifiable Information (PII). The category label is based on features of the emails such as metadata that do not contain PII. Graphs of inferred relationships between email features and category labels are used to assign labels to emails and to features of the emails. The labeled emails are used as a training dataset for training a machine learning model (“MLM”). The MLM model identifies unwanted emails such as spam, bulk email, phishing email, and emails that contain malware.
    Type: Application
    Filed: October 31, 2022
    Publication date: March 16, 2023
    Inventors: Yi LUO, Weigsheng LI, Sharada Shirish ACHARYA, Mainak SEN, Ravi Kiran Reddy POLURI, Christian RUDNICK
  • Patent number: 11521108
    Abstract: Emails or other communications are labeled with a category label such as “spam” or “good” without using confidential or Personally Identifiable Information (PII). The category label is based on features of the emails such as metadata that do not contain PII. Graphs of inferred relationships between email features and category labels are used to assign labels to emails and to features of the emails. The labeled emails are used as a training dataset for training a machine learning model (“MLM”). The MLM model identifies unwanted emails such as spam, bulk email, phishing email, and emails that contain malware.
    Type: Grant
    Filed: July 30, 2018
    Date of Patent: December 6, 2022
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Yi Luo, Weigsheng Li, Sharada Shirish Acharya, Mainak Sen, Ravi Kiran Reddy Poluri, Christian Rudnick
  • Publication number: 20200034752
    Abstract: Emails or other communications are labeled with a category label such as “spam” or “good” without using confidential or Personally Identifiable Information (PII). The category label is based on features of the emails such as metadata that do not contain PII. Graphs of inferred relationships between email features and category labels are used to assign labels to emails and to features of the emails. The labeled emails are used as a training dataset for training a machine learning model (“MLM”). The MLM model identifies unwanted emails such as spam, bulk email, phishing email, and emails that contain malware.
    Type: Application
    Filed: July 30, 2018
    Publication date: January 30, 2020
    Inventors: Yi LUO, Weigsheng LI, Sharada Shirish ACHARYA, Mainak SEN, Ravi Kiran Reddy POLURI, Christian RUDNICK