Patents by Inventor Lingxiao Ma

Lingxiao Ma 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: 11890960
    Abstract: Configuring chargers at a charging site is provided. A data processing system can include a processor coupled with memory and configured to identify a configuration. The configuration can indicate a plurality of chargers coupled with a first line of an electrical panel to conduct power at a first phase and a second line of the electrical panel to conduct power at a second phase different than the first phase. The one or more processors can cause, based on the configuration and operational characteristics associated with one or more of the plurality of chargers, a controller to deliver power to a charger of the plurality of chargers via the first line and the second line based on the power capacity of the electrical panel.
    Type: Grant
    Filed: March 14, 2023
    Date of Patent: February 6, 2024
    Assignee: Rivian IP Holdings, LLC
    Inventors: Jaivardhan S. Bhati, Lingxiao Ma, Siqing Lee, Cecilia An Zhou, Yixin Cao, Bryan Duc Duong
  • Publication number: 20240004718
    Abstract: Embodiments of the present disclosure include systems and methods for compiling tensor operators for neural network models based on tensor tile configurations. A tensor expression for a neural network model is received. A tensor tile configuration for the tensor expression is determined based on specifications associated with a set of hardware devices. Based on the tensor tile configuration, a set of code for implementing the tensor expression for the neural network model is generated. The set of code is for execution on the set of hardware.
    Type: Application
    Filed: June 29, 2022
    Publication date: January 4, 2024
    Inventors: Jilong XUE, Lingxiao MA, Yuqing XIA, Wei CUI, Fan YANG, Mao YANG, Lidong ZHOU
  • Publication number: 20230419116
    Abstract: Embodiments of the present disclosure include systems and methods for providing sparsity for neural network models based on sparsity attributes. A first neural network model definition is received. The first neural network model definition specifies a neural network model comprising a set of tensors and a set of sparsity attribute values for elements of a tensor in the set of tensors. The set of sparsity attribute values for the tensor are propagated to elements of a subset of the set of tensors to form a second neural network model definition. The neural network model is generated based on the second neural network model definition.
    Type: Application
    Filed: June 27, 2022
    Publication date: December 28, 2023
    Inventors: Ningxin ZHENG, Quanlu ZHANG, Yuqing YANG, Lingxiao MA, Fan YANG, Yang WANG, Mao YANG, Lidong ZHOU
  • Patent number: 8155205
    Abstract: A method provides for dynamic changes in a software video player. The method includes learning of a dynamic change from an input pin of a decoder filter, recording states of the decoder filter and a renderer filter, stopping the decoder and the renderer filters without changing a state of a source filter, and setting parameters for an output pin of the decoder filter. The parameters include setting a decoding mode. If the decoder filter output pin and a renderer filter input pin remain connected, a ReconnectEX function is used to set a new media type at the decoder filter output pin. Otherwise the method calls a Connect function to connect the pins and set the new media type. The method further includes changing to a decoder core in the decoder filter appropriate for the dynamic change and restoring the decoder and the renderer filters back to their original states.
    Type: Grant
    Filed: February 28, 2007
    Date of Patent: April 10, 2012
    Assignee: ArcSoft, Inc.
    Inventors: Chao Jin, Lingxiao Ma, Xiaofeng Jiang, Yaguang Xie
  • Publication number: 20080204445
    Abstract: A method provides for dynamic changes in a software video player. The method includes learning of a dynamic change from an input pin of a decoder filter, recording states of the decoder filter and a renderer filter, stopping the decoder and the renderer filters without changing a state of a source filter, and setting parameters for an output pin of the decoder filter. The parameters include setting a decoding mode. If the decoder filter output pin and a renderer filter input pin remain connected, a ReconnectEX function is used to set a new media type at the decoder filter output pin. Otherwise the method calls a Connect function to connect the pins and set the new media type. The method further includes changing to a decoder core in the decoder filter appropriate for the dynamic change and restoring the decoder and the renderer filters back to their original states.
    Type: Application
    Filed: February 28, 2007
    Publication date: August 28, 2008
    Applicant: ARCSOFT, INC.
    Inventors: Chao Jin, Lingxiao Ma, Xiaofeng Jiang, Yaguang Xie