Patents by Inventor Zizhuo Wang

Zizhuo Wang 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).

  • Systems and Methods for Radiation Treatment Planning
    Publication number: 20190046813
    Abstract: The present disclosure relates to improved workflows, methods and systems for the generation of optimized radiation treatment plans. In some embodiments, cloud servers and remote devices such as a wireless device are used.
    Type: Application
    Filed: February 2, 2017
    Publication date: February 14, 2019
    Inventors: Yin Zhou, Cheng Li, Meng Zhu, Haihang Jiang, Yu Sheng, Zizhuo Wang, Wentao Zhang
  • PRICING PERSONALIZED PACKAGES WITH MULTIPLE COMMODITIES
    Publication number: 20140310064
    Abstract: A top-down and bottom-up approach that decomposes product bundles to components, classifies them into different groups corresponding to a component similarity measure, and detects their inherent values. The bundles are reassembled and characterized by several key attributes according to their component inherent values, and classified into segments. A normalized utility model is constructed for each product bundle segment, taking into account the additive effect among different commodity types and product families. The goodness of fit of the top-down and the bottom-up model may be validated. The model may be applied in an RFQ pricing environment.
    Type: Application
    Filed: April 16, 2013
    Publication date: October 16, 2014
    Applicant: International Business Machines Corporation
    Inventors: Pawan R. Chowdhary, Markus R. Ettl, Shivaram Subramanian, Zizhuo Wang, Zhengliang Xue
  • PRICING PERSONALIZED PACKAGES WITH MULTIPLE COMMODITIES
    Publication number: 20140310065
    Abstract: A top-down and bottom-up approach that decomposes product bundles to components, classifies them into different groups corresponding to a component similarity measure, and detects their inherent values. The bundles are reassembled and characterized by several key attributes according to their component inherent values, and classified into segments. A normalized utility model is constructed for each product bundle segment, taking into account the additive effect among different commodity types and product families. The goodness of fit of the top-down and the bottom-up model may be validated. The model may be applied in an RFQ pricing environment.
    Type: Application
    Filed: September 16, 2013
    Publication date: October 16, 2014
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Pawan R. Chowdhary, Markus R. Ettl, Shivaram Subramanian, Zizhuo Wang, Zhengliang Xue