Patents by Inventor Xiaoke Shen

Xiaoke Shen 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: 11948351
    Abstract: A system and method for providing object recognition using artificial neural networks. The method includes capturing a plurality of reference images with a camera associated with an edge node on a communication network. The reference images are received by a centralized server on the communication network. The reference images are analyzed with a parent neural network of the centralized server to determine a subset of objects identified by the parent neural network in the reference images. One or more filters that are responsive to the subset of objects are selected from the parent neural network. A pruned neural network is created from only the one or more filters. The pruned neural network is deployed to the edge node. Real-time images are captured with the camera of the edge node and objects in the real-time images are identified with the pruned neural network.
    Type: Grant
    Filed: January 9, 2019
    Date of Patent: April 2, 2024
    Assignee: SIGNIFY HOLDING B.V.
    Inventors: Kalpathy Sitaraman Sivaraman, Sirisha Rangavajhala, Abhishek Murthy, Talmai Brandão De Oliveira, Xiaoke Shen
  • Publication number: 20200342324
    Abstract: A system and method for providing object recognition using artificial neural networks. The method includes capturing a plurality of reference images with a camera associated with an edge node on a communication network. The reference images are received by a centralized server on the communication network. The reference images are analyzed with a parent neural network of the centralized server to determine a subset of objects identified by the parent neural network in the reference images. One or more filters that are responsive to the subset of objects are selected from the parent neural network. A pruned neural network is created from only the one or more filters. The pruned neural network is deployed to the edge node. Real-time images are captured with the camera of the edge node and objects in the real-time images are identified with the pruned neural network.
    Type: Application
    Filed: January 9, 2019
    Publication date: October 29, 2020
    Inventors: KALPATHY SITARAMAN SIVARAMAN, SIRISHA RANGAVAJHALA, ABHISHEK MURTHY, TALMAI BRANDÃO DE OLIVEIRA, XIAOKE SHEN
  • Patent number: 9526033
    Abstract: Embodiments of the present invention disclose a method and network side device for reducing handover signaling. The method includes: determining, by a network side device, a handover frequency of an inactive user equipment in a first preset time; and when the handover frequency is larger than or equal to a predetermined threshold, sending, by the network side device, a message to the inactive user equipment, so that the inactive user equipment enters a radio resource control idle state. In solutions of the embodiments of the present invention, when a handover frequency reaches a certain value, a user equipment is set to an RRC idle state; therefore, the quantity of handover signaling during a movement process of an inactive user equipment may be reduced, and an overhead of handover signaling is reduced, thereby reducing power consumption of the user equipment and improving power saving performance of the user equipment.
    Type: Grant
    Filed: June 30, 2014
    Date of Patent: December 20, 2016
    Assignee: Huawei Technologies Co., Ltd.
    Inventors: Jihai Han, Xiaoke Shen
  • Publication number: 20140315552
    Abstract: Embodiments of the present invention disclose a method and network side device for reducing handover signaling. The method includes: determining, by a network side device, a handover frequency of an inactive user equipment in a first preset time; and when the handover frequency is larger than or equal to a predetermined threshold, sending, by the network side device, a message to the inactive user equipment, so that the inactive user equipment enters a radio resource control idle state. In solutions of the embodiments of the present invention, when a handover frequency reaches a certain value, a user equipment is set to an RRC idle state; therefore, the quantity of handover signaling during a movement process of an inactive user equipment may be reduced, and an overhead of handover signaling is reduced, thereby reducing power consumption of the user equipment and improving power saving performance of the user equipment.
    Type: Application
    Filed: June 30, 2014
    Publication date: October 23, 2014
    Inventors: Jihai Han, Xiaoke Shen