Patents by Inventor Ce Zhang

Ce Zhang 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: 11271629
    Abstract: A system that can determine states of human activity and transitions between those states using wireless signal data. A machine learning model such as a Hidden Markov Model (HMM) may be trained to determine transitions between states of human activity (e.g., static, slow movement, fast movement) using information from wireless signal data, such as channel state information gathered from Wi-Fi signal beacons. Depending on the state of the human activity the system may then cause certain commands to be executed corresponding to the human activity such as turning on a certain configuration of lights, playing certain music, or the like.
    Type: Grant
    Filed: February 27, 2018
    Date of Patent: March 8, 2022
    Assignee: Amazon Technologies, Inc.
    Inventors: Koohyun Um, Jungtao Liu, Ce Zhang
  • Patent number: 11249521
    Abstract: Apparatuses, methods, and systems for touch pad sensors that are further operative as antennas, are disclosed. One apparatus includes a plurality of touch sensors, a controller, and a radio. The controller is operative to receive sensed signals of the plurality of touch sensors, and provide controls of the apparatus in response to the receive sensed signals of the plurality of touch sensors. The radio is operative to wirelessly communicate with an external wireless device. One or more conductive lines electrically connect the radio with one or more of the plurality of touch sensors, wherein the plurality of touch sensors operate as one or more antennas for facilitating the wireless communication.
    Type: Grant
    Filed: April 21, 2021
    Date of Patent: February 15, 2022
    Assignee: Meta Platforms, Inc.
    Inventors: Ce Zhang, Geng Ye, Bruno Cendon Martin, Jennifer Davis-Wilson, Kyle Marcolini, Vitaliy Alexeev
  • Patent number: 11250854
    Abstract: A method, apparatus, device, and storage medium for voice interaction. A specific embodiment of the method includes: extracting an acoustic feature from received voice data, the acoustic feature indicating a short-term amplitude spectrum characteristic of the voice data; applying the acoustic feature to a type recognition model to determine an intention type of the voice data, the intention type being one of an interaction intention type and a non-interaction intention type, and the type recognition model being constructed based on the acoustic feature of training voice data; and performing an interaction operation indicated by the voice data, based on determining that the intention type is the interaction intention type.
    Type: Grant
    Filed: June 8, 2020
    Date of Patent: February 15, 2022
    Assignee: Baidu Online Network Technology (Beijing) Co., Ltd.
    Inventors: Xiaokong Ma, Ce Zhang, Jinfeng Bai, Lei Jia
  • Publication number: 20220041966
    Abstract: Microfluidic devices, systems, and methods.
    Type: Application
    Filed: May 15, 2018
    Publication date: February 10, 2022
    Inventors: Ce ZHANG, Savas TAY
  • Publication number: 20220011216
    Abstract: Disclosed are systems, devices and methods for imaging and image-based sorting of particles in a flow system, including cells in a flow cytometer. In some aspects, a system includes a particle flow device to flow particles through a channel, an imaging system to obtain image data of a particle during flow through the channel, a processing unit to determine a property associated with the particle and to produce a control command for sorting the particle based on sorting criteria associated with particle properties, and an actuator to direct the particle into one of a plurality of output paths of the particle flow device in real-time.
    Type: Application
    Filed: May 20, 2021
    Publication date: January 13, 2022
    Inventors: Yu-Hwa Lo, Yuanyuan Han, Yi Gu, Ce Zhang
  • Publication number: 20210263566
    Abstract: Apparatuses, methods, and systems for touch pad sensors that are further operative as antennas, are disclosed. One apparatus includes a plurality of touch sensors, a controller, and a radio. The controller is operative to receive sensed signals of the plurality of touch sensors, and provide controls of the apparatus in response to the receive sensed signals of the plurality of touch sensors. The radio is operative to wirelessly communicate with an external wireless device. One or more conductive lines electrically connect the radio with one or more of the plurality of touch sensors, wherein the plurality of touch sensors operate as one or more antennas for facilitating the wireless communication.
    Type: Application
    Filed: April 21, 2021
    Publication date: August 26, 2021
    Inventors: Ce Zhang, Geng Ye, Bruno Cendon Martin, Jennifer Davis-Wilson, Kyle Marcolini, Vitaliy Alexeev
  • Publication number: 20210233518
    Abstract: A method and an apparatus for recognizing a voice are provided. The method may include: inputting a target voice into a pre-trained voice recognition model to obtain an initial text output by at least one recognition network in the voice recognition model, the recognition network including a plurality of preset types of processing layers, and at least one type of processing layer of the recognition network being obtained by training based on a voice sample in a preset direction interval; and determining a voice recognition result of the target voice, based on the initial text.
    Type: Application
    Filed: March 23, 2021
    Publication date: July 29, 2021
    Inventors: Xin LI, Bin HUANG, Ce ZHANG, Jinfeng BAI, Lei JIA
  • Publication number: 20210210113
    Abstract: The present disclosure provides a method and apparatus for detecting a voice, relates to the fields of voice processing and deep learning technology. The method may include: acquiring a target voice; and inputting the target voice into a pre-trained deep neural network to obtain whether the target voice has a sub-voice in each of a plurality of preset direction intervals, the deep neural network being used to predict whether the voice has a sub-voice in each of the plurality of direction intervals.
    Type: Application
    Filed: March 22, 2021
    Publication date: July 8, 2021
    Inventors: Xin Li, Bin Huang, Ce Zhang, Jinfeng Bai, Lei Jia
  • Publication number: 20210158799
    Abstract: The disclosure provides a speech recognition method, a device and a computer-readable storage medium. The method includes obtaining a first voice signal collected from a first microphone in a microphone array and a second voice signal collected from a second microphone in the microphone array, the microphone array including at least two microphones, such as two, three or six microphones. The method further includes extracting enhanced features associated with the first voice signal and the second voice signal through a neural network, and obtaining a speech recognition result based on the enhanced features extracted.
    Type: Application
    Filed: August 10, 2020
    Publication date: May 27, 2021
    Inventors: Ce ZHANG, Bin Huang, Xin Li, Jinfeng Bai, Xu Chen, Lei Jia
  • Publication number: 20210158816
    Abstract: A method, apparatus, device, and storage medium for voice interaction. A specific embodiment of the method includes: extracting an acoustic feature from received voice data, the acoustic feature indicating a short-term amplitude spectrum characteristic of the voice data; applying the acoustic feature to a type recognition model to determine an intention type of the voice data, the intention type being one of an interaction intention type and a non-interaction intention type, and the type recognition model being constructed based on the acoustic feature of training voice data; and performing an interaction operation indicated by the voice data, based on determining that the intention type is the interaction intention type.
    Type: Application
    Filed: June 8, 2020
    Publication date: May 27, 2021
    Inventors: Xiaokong Ma, Ce Zhang, Jinfeng Bai, Lei Jia
  • Patent number: 11016017
    Abstract: Disclosed are systems, devices and methods for imaging and image-based sorting of particles in a flow system, including cells in a flow cytometer. In some aspects, a system includes a particle flow device to flow particles through a channel, an imaging system to obtain image data of a particle during flow through the channel, a processing unit to determine a property associated with the particle and to produce a control command for sorting the particle based on sorting criteria associated with particle properties, and an actuator to direct the particle into one of a plurality of output paths of the particle flow device in real-time.
    Type: Grant
    Filed: June 9, 2017
    Date of Patent: May 25, 2021
    Assignee: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
    Inventors: Yu-Hwa Lo, Yuanyuan Han, Yi Gu, Ce Zhang
  • Patent number: 11016542
    Abstract: Apparatuses, methods, and systems for touch pad sensors that are further operative as antennas, are disclosed. One apparatus includes a plurality of touch sensors, a controller, and a radio. The controller is operative to receive sensed signals of the plurality of touch sensors, and provide controls of the apparatus in response to the receive sensed signals of the plurality of touch sensors. The radio is operative to wirelessly communicate with an external wireless device. One or more conductive lines electrically connect the radio with one or more of the plurality of touch sensors, wherein the plurality of touch sensors operate as one or more antennas for facilitating the wireless communication.
    Type: Grant
    Filed: February 25, 2020
    Date of Patent: May 25, 2021
    Assignee: Facebook, Inc.
    Inventors: Ce Zhang, Geng Ye, Bruno Cendon Martin, Jen Davis-Wilson, Kyle Marcolini, Vitaliy Alexeev
  • Publication number: 20210149224
    Abstract: Apparatuses, methods, and systems for a hinge feed antenna of eyewear, are disclosed. One apparatus includes a front frame, a temple arm, and a hinge rotatably connecting the front frame and the temple arm. For an embodiment, the temple arm includes a circuit assembly including at least a radio that supports wireless communication. For an embodiment, the front frame includes one or more antennas traces, wherein the hinge conductively connects the circuit assembly to the one or more antenna traces, and wherein the hinge in combination with the one or more antenna traces form one or more antennas for supporting the wireless communication.
    Type: Application
    Filed: November 14, 2019
    Publication date: May 20, 2021
    Inventors: Ce Zhang, Bruno Cendon Martin, Jen Davis-Wilson, Geng Ye
  • Publication number: 20210127003
    Abstract: The present disclosure discloses an interactive voice-control method and apparatus, a device and a medium. The method includes: obtaining a sound signal at a voice interaction device and recognized information that is recognized from the sound signal; determining an interaction confidence of the sound signal based at least on at least one of an acoustic feature representation of the sound signal and a semantic feature representation associated with the recognized information; determining a matching status between the recognized information and the sound signal; and providing the interaction confidence and the matching status for controlling a response of the voice interaction device to the sound signal.
    Type: Application
    Filed: September 24, 2020
    Publication date: April 29, 2021
    Inventors: Jinfeng BAI, Chuanlei ZHAI, Xu CHEN, Tao CHEN, Xiaokong MA, Ce ZHANG, Zhen WU, Xingyuan PENG, Zhijian WANG, Sheng QIAN, Guibin WANG, Lei JIA
  • Patent number: 10984532
    Abstract: Land cover (LC) and land use (LU) have commonly been classified separately from remotely sensed imagery, without considering the intrinsically hierarchical and nested relationships between them. A novel joint deep learning framework is proposed and demonstrated for LC and LU classification. The proposed Joint Deep Learning (JDL) model incorporates a multilayer perceptron (MLP) and convolutional neutral network (CNN), and is implemented via a Markov process involving iterative updating. In the JDL, LU classification conducted by the CNN is made conditional upon the LC probabilities predicted by the MLP. In turn, those LU probabilities together with the original imagery are re-used as inputs to the MLP to strengthen the spatial and spectral feature representation. This process of updating the MLP and CNN forms a joint distribution, where both LC and LU are classified simultaneously through iteration.
    Type: Grant
    Filed: August 23, 2019
    Date of Patent: April 20, 2021
    Assignee: Ordnance Survey Limited
    Inventors: Isabel Sargent, Ce Zhang, Peter M. Atkinson
  • Patent number: 10922589
    Abstract: An object-based convolutional neural network (OCNN) method and system for urban land use classification from VFSR imagery are described. In the OCNN, segmented objects consisting of linearly shaped objects (LS-objects) and other general objects (G-objects), are utilized as functional units. The G-objects are precisely identified and labelled through a single large input window (128×128) CNN with a deep (eight-layer) network to perform a contextual object-based classification. Whereas the LS-objects are each distinguished accurately using a range of small input window (48×48) CNNs with less deep (six-layer) networks along the objects' lengths through majority voting. The locations of the input image patches for both CNN networks are determined by considering both object geometry and its spatial anisotropy, such as to accurately classify the objects into urban land use classes.
    Type: Grant
    Filed: October 10, 2018
    Date of Patent: February 16, 2021
    Assignee: Ordnance Survey Limited
    Inventors: Isabel Sargent, Ce Zhang, Peter M. Atkinson
  • Publication number: 20200322159
    Abstract: The present invention relates to methods for a blockchain search system, and particularly, the present invention relates to methods for assuring the data integrity on blockchain hybrid storage. Furthermore, the present invention provides a cost-efficient update scheme to maintain the on-chain index and authenticated data structure and is efficient and scalable under various operational parameters.
    Type: Application
    Filed: March 25, 2020
    Publication date: October 8, 2020
    Inventors: Jianliang XU, Ce ZHANG, Cheng XU
  • Publication number: 20200117959
    Abstract: An object-based convolutional neural network (OCNN) method and system for urban land use classification from VFSR imagery are described. In the OCNN, segmented objects consisting of linearly shaped objects (LS-objects) and other general objects (G-objects), are utilized as functional units. The G-objects are precisely identified and labelled through a single large input window (128×128) CNN with a deep (eight-layer) network to perform a contextual object-based classification. Whereas the LS-objects are each distinguished accurately using a range of small input window (48×48) CNNs with less deep (six-layer) networks along the objects' lengths through majority voting. The locations of the input image patches for both CNN networks are determined by considering both object geometry and its spatial anisotropy, such as to accurately classify the objects into urban land use classes.
    Type: Application
    Filed: October 10, 2018
    Publication date: April 16, 2020
    Inventors: Isabel Sargent, Ce Zhang, Peter M. Atkinson
  • Publication number: 20200065968
    Abstract: Land cover (LC) and land use (LU) have commonly been classified separately from remotely sensed imagery, without considering the intrinsically hierarchical and nested relationships between them. A novel joint deep learning framework is proposed and demonstrated for LC and LU classification. The proposed Joint Deep Learning (JDL) model incorporates a multilayer perceptron (MLP) and convolutional neutral network (CNN), and is implemented via a Markov process involving iterative updating. In the JDL, LU classification conducted by the CNN is made conditional upon the LC probabilities predicted by the MLP. In turn, those LU probabilities together with the original imagery are re-used as inputs to the MLP to strengthen the spatial and spectral feature representation. This process of updating the MLP and CNN forms a joint distribution, where both LC and LU are classified simultaneously through iteration.
    Type: Application
    Filed: August 23, 2019
    Publication date: February 27, 2020
    Inventors: Isabel Sargent, Ce Zhang, Peter M. Atkinson
  • Publication number: 20190302000
    Abstract: Disclosed are systems, devices and methods for imaging and image-based sorting of particles in a flow system, including cells in a flow cytometer. In some aspects, a system includes a particle flow device to flow particles through a channel, an imaging system to obtain image data of a particle during flow through the channel, a processing unit to determine a property associated with the particle and to produce a control command for sorting the particle based on sorting criteria associated with particle properties, and an actuator to direct the particle into one of a plurality of output paths of the particle flow device in real-time.
    Type: Application
    Filed: June 9, 2017
    Publication date: October 3, 2019
    Inventors: Yu-Hwa Lo, Yuanyuan Han, Yi Gu, Ce Zhang