Patents by Inventor Jiangsheng Yu

Jiangsheng Yu 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).

  • Publication number: 20170371936
    Abstract: A method includes obtaining via a programmed computer, a first set of n random samples and a second set of n+k random samples from a base set of samples where k is a lag, iteratively adding more random samples to the first and second sets from the base set via the programmed computer, obtaining a distance between the first and second sets of random samples by calculating via the programmed computer, an empirical cumulative distribution function (ECDF) for the first and second sets in each iteration until the distance between the ECDFs is below a threshold, and constructing a stable empirical distribution representation via the programmed computer using a number of samples that is a function of the first and second sets whose distance is below the threshold.
    Type: Application
    Filed: June 27, 2016
    Publication date: December 28, 2017
    Inventors: Jiangsheng Yu, Hui Zang
  • Publication number: 20170293717
    Abstract: A synchronized data processing system and method are provided for remote pathology consultation to address performance issues caused by resources conflicts between upload from referral sources and online image browsing by consultants when the two are geographically distant (e.g., in China and the United States). The system includes two parts—a local end that is in close geographic proximity to referral sources and a remote end that is in close geographic proximity to referral sources consultants. Image data uploaded to the local end by referral sources is automatically synchronized to the remote end for consultant access. In the system, an asynchronous message queue is included to prevent out-of-resource operation failures in slide file format conversion. A three-layered storage architecture, including a temporary storage, two synchronized cloud storages, and a permanent storage, is used for slide image data storage.
    Type: Application
    Filed: April 8, 2017
    Publication date: October 12, 2017
    Applicant: Bingsheng Technology (Wuhan) Co., Ltd.
    Inventor: Jiangsheng YU
  • Publication number: 20170278013
    Abstract: A processing device and method of classifying data are provided. The method comprises the computer-implemented steps of selecting a M number of model sets, a R number of data representation sets, and a T number of sampling sets, generating a M*R*T number of classifiers comprising a three-dimensional (3D) array of classifiers, testing each individual classifier in the 3D array of classifiers on a testing set to obtain accuracy scores for the each individual classifier, and assigning a weight value to the each individual classifier corresponding to each accuracy score, wherein the 3D array of classifiers comprises a 3D array of weighted classifiers.
    Type: Application
    Filed: March 25, 2016
    Publication date: September 28, 2017
    Applicant: Futurewei Technologies, Inc.
    Inventors: Jiangsheng Yu, Hui Zang
  • Patent number: 7505866
    Abstract: A method of classifying high-dimensional data to facilitate subsequent processing of the data. Generally characterized, the method includes determining a statistical distribution function for a first dataset; determining a statistical distribution function for a second dataset; identifying a characterizing feature of the first and second datasets; determining a probability of distinction based on the first and second statistical distribution functions, with the probability of distinction being the probability that the characterizing feature can be used to distinguish the first dataset from the second dataset; and identifying a subject of the first dataset based on the probability of distinction. Once the subject has been identified, the first dataset can be further analyzed using processing techniques appropriate to the subject.
    Type: Grant
    Filed: May 18, 2007
    Date of Patent: March 17, 2009
    Assignee: The University of Kansas
    Inventors: Xuewen Chen, Jiangsheng Yu
  • Publication number: 20070271075
    Abstract: A method of classifying high-dimensional data to facilitate subsequent processing of the data. Generally characterized, the method includes determining a statistical distribution function for a first dataset; determining a statistical distribution function for a second dataset; identifying a characterizing feature of the first and second datasets; determining a probability of distinction based on the first and second statistical distribution functions, with the probability of distinction being the probability that the characterizing feature can be used to distinguish the first dataset from the second dataset; and identifying a subject of the first dataset based on the probability of distinction. Once the subject has been identified, the first dataset can be further analyzed using processing techniques appropriate to the subject.
    Type: Application
    Filed: May 18, 2007
    Publication date: November 22, 2007
    Inventors: Xuewen Chen, Jiangsheng Yu