Patents by Inventor Lianghong Yin

Lianghong Yin 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).

  • Machine learning-based clustering for curvilinear layout designs
    Patent number: 11836423
    Abstract: Various aspects of the present disclosed technology relate to techniques for classifying layout patterns. First, a set of density feature vectors for a set of layout regions in the layout design are extracted using a set of rings. Each component of a density feature vector in the set of density feature vectors corresponds to a ring in the set of rings. The set of rings do not overlap with each other and cover a whole area of a circle when being placed together. Next, a machine learning-based clustering process is performed to separate layout features in the set of layout regions into clusters of layout features based on the set of density feature vectors. Each of the clusters of layout features may be further divided into subclusters based on one or more properties.
    Type: Grant
    Filed: March 10, 2022
    Date of Patent: December 5, 2023
    Assignee: Siemens Industry Software Inc.
    Inventors: Lianghong Yin, Fan Jiang, Shumay D. Shang, Le Hong
  • Machine Learning-Based Clustering For Curvilinear Layout Designs
    Publication number: 20230289497
    Abstract: Various aspects of the present disclosed technology relate to techniques for classifying layout patterns. First, a set of density feature vectors for a set of layout regions in the layout design are extracted using a set of rings. Each component of a density feature vector in the set of density feature vectors corresponds to a ring in the set of rings. The set of rings do not overlap with each other and cover a whole area of a circle when being placed together. Next, a machine learning-based clustering process is performed to separate layout features in the set of layout regions into clusters of layout features based on the set of density feature vectors. Each of the clusters of layout features may be further divided into subclusters based on one or more properties.
    Type: Application
    Filed: March 10, 2022
    Publication date: September 14, 2023
    Inventors: Lianghong Yin, Fan Jiang, Shumay D. Shang, Le Hong