Patents by Inventor Yiyin Zhou

Yiyin Zhou 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: 20220102942
    Abstract: A laser diode including a double heterostructure comprising a top layer, a buffer layer formed on a substrate, and an intrinsic active layer formed between the top layer and the buffer layer. The top layer and the buffer layer have opposite types of conductivity. The active layer has a bandgap smaller than that of the buffer layer or the top layer. The double heterostructure includes Ge, SiGe, GeSn, and/or SiGeSn materials.
    Type: Application
    Filed: September 28, 2021
    Publication date: March 31, 2022
    Inventors: Shui-Qing Yu, Yiyin Zhou, Wei Du
  • Patent number: 9892518
    Abstract: Systems and methods for the detection of motion in a multi-dimensional signal are provided. According to aspects of the disclosure, data representing a time sequence of frames of a video stream is received. A multi-dimensional Gaussian window in is then constructed. Each frame of the received data is divided into a plurality of blocks and, for each block in the plurality of blocks, each pixel in the block is multiplied with a corresponding pixel of the Gaussian window to obtain a windowed video block. The FFT of the windowed video block is computed to obtain an amplitude and phase thereof. The occurrence of motion in the block is then determined based on the computed phase of the windowed video block.
    Type: Grant
    Filed: June 9, 2016
    Date of Patent: February 13, 2018
    Assignee: The Trustees of Columbia University in the City of New York
    Inventors: Aurel Lazar, Nikul H. Ukani, Yiyin Zhou
  • Publication number: 20170213350
    Abstract: Systems and methods for the detection of motion in a multi-dimensional signal are provided. According to aspects of the disclosure, data representing a time sequence of frames of a video stream is received. A multi-dimensional Gaussian window in is then constructed. Each frame of the received data is divided into a plurality of blocks and, for each block in the plurality of blocks, each pixel in the block is multiplied with a corresponding pixel of the Gaussian window to obtain a windowed video block. The FFT of the windowed video block is computed to obtain an amplitude and phase thereof. The occurrence of motion in the block is then determined based on the computed phase of the windowed video block.
    Type: Application
    Filed: June 9, 2016
    Publication date: July 27, 2017
    Applicant: THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK
    Inventors: Aurel Lazar, Nikul H. Ukani, Yiyin Zhou
  • Patent number: 8874496
    Abstract: Techniques for reconstructing a signal encoded with a time encoding machine (TEM) using a recurrent neural network including receiving a TEM-encoded signal, processing the TEM-encoded signal, and reconstructing the TEM-encoded signal with a recurrent neural network.
    Type: Grant
    Filed: July 23, 2013
    Date of Patent: October 28, 2014
    Assignee: The Trustees of Columbia University in the City of New York
    Inventors: Aurel A. Lazar, Yiyin Zhou
  • Publication number: 20140267606
    Abstract: Systems and methods for system identification, encoding and decoding multi-component signals are disclosed. An exemplary method can include receiving the one or more multi-component signals and separating the multi-component signals into channels. The method can also filter each of the channels using receptive field components. The values for the receptive field components can be aggregated and provided to neurons for encoding.
    Type: Application
    Filed: March 17, 2014
    Publication date: September 18, 2014
    Applicant: The Trustees of Columbia University in the City of New York
    Inventors: Aurel A. Lazar, Yevgeniy B. Slutskiy, Yiyin Zhou
  • Publication number: 20130311412
    Abstract: Techniques for reconstructing a signal encoded with a time encoding machine (TEM) using a recurrent neural network including receiving a TEM-encoded signal, processing the TEM-encoded signal, and reconstructing the TEM-encoded signal with a recurrent neural network.
    Type: Application
    Filed: July 23, 2013
    Publication date: November 21, 2013
    Applicant: The Trustees of Columbia University in the City of New York
    Inventors: Aurel A. Lazar, Yiyin Zhou