Patents by Inventor Zicheng Liu

Zicheng Liu 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: 10995572
    Abstract: A simulation test method for gas extraction from a tectonically-deformed coal seam in-situ by depressurizing a horizontal well cavity. A coal series stratum structure reconstruction and similar material simulation subsystem simulates a tectonically-deformed coal reservoir. A horizontal well drilling and reaming simulation subsystem constructs a U-shaped well in which a horizontal well adjoins a vertical well, and performs a reaming process on a horizontal section thereof. A horizontal well hole-collapse cavity-construction depressurization excitation simulation subsystem performs pressure-pulse excitation and stress release on the horizontal well, and hydraulically displaces a coal-liquid-gas mixture such that the mixture is conveyed towards a vertical well section. A product lifting simulation subsystem further pulverizes the coal and lifts the mixture. A gas-liquid-solid separation simulation subsystem separates the coal, liquid and gas.
    Type: Grant
    Filed: November 12, 2018
    Date of Patent: May 4, 2021
    Assignees: China University of Mining and Technology, XUZHOU OLIVINE GEOSCIENCE & GEOTECH CO., LTD, CHINA UNIVERSITY OF PETROLEUM, EAST CHINA, ANHUI UNIVERSITY OF SCIENCE AND TECHNOLOGY, WUHAN INSTITUTE OF TECHNOLOGY
    Inventors: Shuxun Sang, Xiaozhi Zhou, Liweng Cao, Shiqi Liu, Haiwen Wang, Huihu Liu, Zicheng Li, Jinlong Jia, Huazhou Huang, Changjiang Liu, Hongjie Xu, Ran Wang, Shuyun Zhu
  • Patent number: 10957074
    Abstract: Examples are disclosed herein that relate to automatically calibrating cameras based on human detection. One example provides a computing system comprising instructions executable to receive image data comprising depth image data and two-dimensional image data of a space from a camera, detect a person in the space via the image data, determine a skeletal representation for the person via the image data, determine over a period of time a plurality of locations at which a reference point of the skeletal representation is on a ground area in the image data, determine a ground plane of the three-dimensional representation based upon the plurality of locations at which the reference point of the skeletal representation is on the ground area in the image data, and track a location of an object within the space relative to the ground plane.
    Type: Grant
    Filed: January 29, 2019
    Date of Patent: March 23, 2021
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Hongli Deng, Zicheng Liu
  • Publication number: 20210073563
    Abstract: An object re-identifier. For each of a plurality of frames of a video, a quality of the frame is assessed and a confidence that a previously-recognized object is present in the frame is determined. The determined confidence for the frame is weighted based on the assessed quality of the frame such that frames with higher relative quality are weighted more heavily than frames with lower relative quality. An overall confidence that the previously-recognized object is present in the video is assessed based on the weighted determined confidences.
    Type: Application
    Filed: November 19, 2019
    Publication date: March 11, 2021
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Nikolaos KARIANAKIS, Zicheng LIU, Yinpeng CHEN
  • Patent number: 10920298
    Abstract: A steel plate having excellent resistance to fatigue crack growth and manufacturing method thereof, wherein the components of the steel plate in weight percentage are: 0.040-0.070% of C, 0.40-0.70% of Si, 1.30-1.60% of Mn, less than or equal to 0.013% of P, less than or equal to 0.003% of S, less than or equal to 0.30% of Cu, less than or equal to 0.30% of Ni, less than or equal to 0.10% of Mo, 0.008-0.018% of Ti, 0.015-0.030% of Nb, less than or equal to 0.0040% of N, 0.0010-0.0040% of Ca, and the balance being Fe and inevitable impurities. By controlling [% C]×[% Si] between 0.022-0.042, {([% C]+3.33[% Nb])×[% Si]}×Vcooling rate/Tcooling-stopping between 1.15×10?4˜2.2×10?3, carrying out a Ca treatment, and Ca/S=1.0-3.0 and (% Ca)×(% S) 0.28?1.0×10?3, the optimizing the TMCP process, the finished steel plate has a microstructure which a duplex-phase structure of ferrite+uniformly and dispersedly distributed bainite and has an improved resistance to fatigue crack growth.
    Type: Grant
    Filed: November 4, 2015
    Date of Patent: February 16, 2021
    Assignee: Baoshan Iron & Steel Co., Ltd.
    Inventors: Zicheng Liu, Qing Shi
  • Publication number: 20210044244
    Abstract: The disclosure provides an N-phase N+1 bridge arm inverter, including: N+1 bridge arms, wherein each of the bridge arms includes an upper bridge arm power switching device and a lower bridge arm power switching device, upper node of the upper bridge arm power switching device in each of the bridge arms is connected to a DC bus voltage, lower node of the lower bridge arm power switching device is connected to a power ground, and lower node of the upper bridge arm power switching device is connected to upper node of the lower bridge arm power switching device as an output node of the bridge arm. N is a total phase number of a motor, N is an odd number, and N is greater than 3.
    Type: Application
    Filed: March 21, 2019
    Publication date: February 11, 2021
    Applicant: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY
    Inventors: Dong JIANG, An LI, Zicheng LIU
  • Publication number: 20200272888
    Abstract: A computing system is provided. The computing system includes a processor configured to execute a convolutional neural network that has been trained, the convolutional neural network including a backbone network that is a concatenated pyramid network, a plurality of first head neural networks, and a plurality of second head neural networks. At the backbone network, the processor is configured to receive an input image as input and output feature maps extracted from the input image. The processor is configured to: process the feature maps using each of the first head neural networks to output corresponding keypoint heatmaps; process the feature maps using each of the second head neural networks to output corresponding part affinity field heatmaps; link the keypoints into one or more instances of virtual skeletons using the part affinity fields; and output the instances of the virtual skeletons.
    Type: Application
    Filed: April 26, 2019
    Publication date: August 27, 2020
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Lijuan WANG, Kevin LIN, Zicheng LIU, Kun LUO
  • Publication number: 20200272812
    Abstract: A machine accesses a training data set comprising multiple real images and multiple synthetic images. The machine trains a joint prediction module to predict joint locations in visual data using the multiple real images. The machine trains a part affinity field prediction module to identify adjacent joints in visual data using the multiple real images. The machine trains the joint prediction module to predict joint locations in visual data using the multiple synthetic images. The machine trains the part affinity field prediction module to identify adjacent joints in visual data using the multiple synthetic images. The machine trains a body part prediction module to identify body parts in visual data using the multiple synthetic images. The machine provides a trained human body part segmentation module comprising the trained joint prediction module, the trained part affinity field prediction module, and the trained body part prediction module.
    Type: Application
    Filed: February 21, 2019
    Publication date: August 27, 2020
    Inventors: Lijuan Wang, Zicheng Liu, Kevin Lin, Kun Luo
  • Publication number: 20200242805
    Abstract: Examples are disclosed herein that relate to automatically calibrating cameras based on human detection. One example provides a computing system comprising instructions executable to receive image data comprising depth image data and two-dimensional image data of a space from a camera, detect a person in the space via the image data, determine a skeletal representation for the person via the image data, determine over a period of time a plurality of locations at which a reference point of the skeletal representation is on a ground area in the image data, determine a ground plane of the three-dimensional representation based upon the plurality of locations at which the reference point of the skeletal representation is on the ground area in the image data, and track a location of an object within the space relative to the ground plane.
    Type: Application
    Filed: January 29, 2019
    Publication date: July 30, 2020
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Hongli DENG, Zicheng LIU
  • Patent number: 10678326
    Abstract: The large display interaction implementations described herein combine mobile devices with people tracking to enable new interactions including making a non-touch-sensitive display touch-sensitive and allowing personalized interactions with the display. One implementation tracks one or more mobile computing device users relative to a large computer-driven display, and configures content displayed on the display based on a distance a given mobile computing device user is from the display. Another implementation personalizes user interactions with a large display. One or more mobile computing device users are tracked relative to a display. The identity of each of the one or more mobile computing device users is obtained. Content displayed on the display is configured based on a distance an identified mobile computing device user is from the display and the identity of the user that provides the content.
    Type: Grant
    Filed: September 25, 2015
    Date of Patent: June 9, 2020
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Yinpeng Chen, Sasa Junuzovic, Zhengyou Zhang, Zicheng Liu
  • Patent number: 10425627
    Abstract: An apparatus that automatically monitors a display device includes a photo sensor configured to receive light from a display screen of the display device. The photo sensor provides signals representing detected light levels to a processor. The processor is coupled to the display device and is configured to cause the display device to present a test sequence including a plurality of images on the display screen. The processor is configured to capture data from the photo sensor during the presentation of the test sequence and to compare the captured data to an expected sequence corresponding to the test sequence displayed by a well-functioning display. The processor is further configured to report any mismatch between the captured data and the expected sequence as a possible malfunction of the display device.
    Type: Grant
    Filed: May 9, 2017
    Date of Patent: September 24, 2019
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Zhengyou Zhang, Zicheng Liu, Dieni Afonso Ferreira Florencio, Sasa Junuzovic
  • Publication number: 20190211073
    Abstract: A synthesis method for low-racemization impurity liraglutide comprises the following steps: performing synthesis to obtain a propeptide, coupling 2 to 5 peptides comprising Thr-Phe on the propeptide by using a solid-phase synthesis method; further, performing solid-phase synthesis to obtain a liraglutide resin; the liraglutide resin is cracked after modification, or the liraglutide resin is directly cracked, purified and frozen dry, so as to obtain the liraglutide.
    Type: Application
    Filed: August 8, 2017
    Publication date: July 11, 2019
    Inventors: Yuqing FU, Hongji MA, Xinyu LI, Lixiang ZHANG, Qin ZHI, Lifen WU, Zicheng LIU
  • Patent number: 10208362
    Abstract: An HT550 steel plate with ultrahigh toughness and excellent weldability and a manufacturing method thereof are disclosed. Based on a component system with ultralow-C, high-Mn, Nb-microalloying, ultramicro Ti treatment, Mn/C is controlled in the range of 15˜30, (% Si)×(% Ceq) is less than or equal to 0.050, (% C)×(% Si) is less than or equal to 0.010, (% Mo)×[(% C)+0.13(% Si)] is in the range of 0.003˜0.020, the ratio Ti/N is in the range of 2.0˜4.0, the steel plate is alloyed with (Cu+Ni+Mo), Ni/Cu is greater than or equal to 1.0, Ca treatment is performed, and Ca/S is in the range of 0.80˜3.00; by optimizing TMCP process, the steel plate has microstructures of fine ferrite plus self-tempered bainite with an average grain size being less than or equal to 15 ?m, yield strength being 460 MPa or more, tensile strength being 550˜700 MPa, yield ratio being 0.85 or less, and ?60° C.
    Type: Grant
    Filed: March 26, 2014
    Date of Patent: February 19, 2019
    Assignee: Baoshan Iron & Steel Co., Ltd.
    Inventors: Zicheng Liu, Xianju Li
  • Patent number: 10185878
    Abstract: Systems and methods for person counting are disclosed. A method may include retrieving an image frame from a plurality of image frames captured by a camera. The image frame may be split into a grid of a plurality of cells of a pre-determined cell dimensions. The pre-determined cell dimensions may be based on dimensions of the retrieved image frame and reference dimensions of training images of a person detection classifier. At least a portion of the plurality of cells may be rearranged to generate a new image. The new image may be padded with at least one padding strip to adjust dimensions of the new image to the reference dimensions of the training images. Person detection may be performed using the new image and the person detection classifier to obtain a number of persons detected within the new image.
    Type: Grant
    Filed: February 28, 2017
    Date of Patent: January 22, 2019
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Zicheng Liu, Yinpeng Chen, Sean E Anderson, Zhengyou Zhang
  • Patent number: 10181090
    Abstract: A technique for multi-camera object tracking is disclosed that preserves privacy of imagery from each camera or group of cameras. This technique uses secure multi-party computation to compute a distance metric across data from multiple cameras without revealing any information to operators of the cameras except whether or not an object was observed by both cameras. This is achieved by a distance metric learning technique that reduces the computing complexity of secure computation while maintaining object identification accuracy.
    Type: Grant
    Filed: April 20, 2018
    Date of Patent: January 15, 2019
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Chun-Te Chu, Jaeyeon Jung, Zicheng Liu, Ratul Mahajan
  • Publication number: 20180332261
    Abstract: An apparatus that automatically monitors a display device includes a photo sensor configured to receive light from a display screen of the display device. The photo sensor provides signals representing detected light levels to a processor. The processor is coupled to the display device and is configured to cause the display device to present a test sequence including a plurality of images on the display screen. The processor is configured to capture data from the photo sensor during the presentation of the test sequence and to compare the captured data to an expected sequence corresponding to the test sequence displayed by a well-functioning display. The processor is further configured to report any mismatch between the captured data and the expected sequence as a possible malfunction of the display device.
    Type: Application
    Filed: May 9, 2017
    Publication date: November 15, 2018
    Inventors: Zhengyou Zhang, Zicheng Liu, Dinei Afonso Ferreira Florencio, Sasa Junuzovic
  • Patent number: 10093999
    Abstract: The invention discloses a steel plate resistant to zinc-induced crack and a manufacturing method therefor. A low-alloy steel subjected to low C-ultra low Si-high Mn-low Al—(Ti+Nb) microalloying treatment is taken as a basis; the Al content in the steel is appropriately reduced; the conditions are controlled so that Mn/C?15, [(% Mn)+0.75(% Mo)]×(% C)?0.16, Nb/Ti?1.8 and Ti/N is between 1.50 and 3.40, CEZ?0.44% and the B content is ?2 ppm, Ni/Cu?1.50; a Ca treatment is performed and the Ca/S ratio is controlled between 1.0 and 3.0, with (% Ca)×(% S)0.28?1.
    Type: Grant
    Filed: March 5, 2014
    Date of Patent: October 9, 2018
    Assignee: Baoshan Iron & Steel Co., Ltd.
    Inventors: Zicheng Liu, Yong Wu, Xianju Li
  • Publication number: 20180258507
    Abstract: A steel plate having excellent resistance to fatigue crack growth and manufacturing method thereof, wherein the components of the steel plate in weight percentage are: 0.040-0.070% of C, 0.40-0.70% of Si, 1.30-1.60% of Mn, less than or equal to 0.013% of P, less than or equal to 0.003% of S, less than or equal to 0.30% of Cu, less than or equal to 0.30% of Ni, less than or equal to 0.10% of Mo, 0.008-0.018% of Ti, 0.015-0.030% of Nb, less than or equal to 0.0040% of N, 0.0010-0.0040% of Ca, and the balance being Fe and inevitable impurities. By controlling [% C]×[% Si] between 0.022-0.042, {([% C]+3.33[% Nb])×[% Si]}×Vcooling rate/Tcooling-stopping between 1.15×10?4˜2.2×10?3, carrying out a Ca treatment, and Ca/S=1.0-3.0 and (% Ca)×(% S) 0.28?1.0×10?3, the optimizing the TMCP process, the finished steel plate has a microstructure which a duplex-phase structure of ferrite+uniformly and dispersedly distributed bainite and has an improved resistance to fatigue crack growth.
    Type: Application
    Filed: November 4, 2015
    Publication date: September 13, 2018
    Applicant: BAOSHAN IRON & STEEL CO., LTD.
    Inventors: Zicheng Liu, Qing Shi
  • Publication number: 20180247132
    Abstract: Systems and methods for person counting are disclosed. A method may include retrieving an image frame from a plurality of image frames captured by a camera. The image frame may be split into a grid of a plurality of cells of a pre-determined cell dimensions. The pre-determined cell dimensions may be based on dimensions of the retrieved image frame and reference dimensions of training images of a person detection classifier. At least a portion of the plurality of cells may be rearranged to generate a new image. The new image may be padded with at least one padding strip to adjust dimensions of the new image to the reference dimensions of the training images. Person detection may be performed using the new image and the person detection classifier to obtain a number of persons detected within the new image.
    Type: Application
    Filed: February 28, 2017
    Publication date: August 30, 2018
    Inventors: Zicheng Liu, Yinpeng Chen, Sean E Anderson, Zhengyou Zhang
  • Publication number: 20180239985
    Abstract: A technique for multi-camera object tracking is disclosed that preserves privacy of imagery from each camera or group of cameras. This technique uses secure multi-party computation to compute a distance metric across data from multiple cameras without revealing any information to operators of the cameras except whether or not an object was observed by both cameras. This is achieved by a distance metric learning technique that reduces the computing complexity of secure computation while maintaining object identification accuracy.
    Type: Application
    Filed: April 20, 2018
    Publication date: August 23, 2018
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Chun-Te Chu, Jaeyeon Jung, Zicheng Liu, Ratul Mahajan
  • Patent number: 9977991
    Abstract: A technique for multi-camera object tracking is disclosed that preserves privacy of imagery from each camera or group of cameras. This technique uses secure multi-party computation to compute a distance metric across data from multiple cameras without revealing any information to operators of the cameras except whether or not an object was observed by both cameras. This is achieved by a distance metric learning technique that reduces the computing complexity of secure computation while maintaining object identification accuracy.
    Type: Grant
    Filed: April 22, 2015
    Date of Patent: May 22, 2018
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Chun-Te Chu, Jaeyeon Jung, Zicheng Liu, Ratul Mahajan