Patents Assigned to Peking University
  • Publication number: 20230135021
    Abstract: A method for training a feature quantization model includes: obtaining a plurality of source data domains; obtaining feature information and labeling information of each of the plurality of source data domains; decomposing the feature information of each of the plurality of source data domains, so as to obtain common feature information and domain-specific feature information of the plurality of source data domains, the common feature information being feature information common to the plurality of source data domains; and training a feature quantization model according to the common feature information of all the source data domains, and domain-specific feature information and the labeling information of each of the plurality of source data domains, so as to obtain a common feature quantization model.
    Type: Application
    Filed: March 12, 2021
    Publication date: May 4, 2023
    Applicants: BOE TECHNOLOGY GROUP CO., LTD., Peking University
    Inventors: Yigeng FANG, Yadong MU, Xiaojun TANG
  • Patent number: 11638839
    Abstract: A device and a method for measuring proton beam source position and beamline center are disclosed. The device includes N quadrupole magnets, a laser, a target and a scintillation screen; the target and the scintillation screen are arranged in front of and behind the N-quadrupole lens, respectively; the N-quadrupole lens can be converted to a M-quadrupole lens; the position of proton beam after being focused by the N- or M-quadrupole lens on the scintillation screen is measured; according to the amplification factor and the proton beam position, the offset of the proton beam source from the beamline center, as well as the position of the beamline center on the scintillation screen are calculated; the disclosure can accurately determine the position of the beamline center and the proton beam source by the use of N quadrupole magnets, combined with a scintillation screen.
    Type: Grant
    Filed: November 4, 2020
    Date of Patent: May 2, 2023
    Assignee: Peking University
    Inventors: Jungao Zhu, Xueqing Yan, Chen Lin
  • Publication number: 20230130402
    Abstract: Disclosed are a method and an apparatus for designing a magnetic shielding apparatus and a magnetic shielding apparatus. The method includes: determining a region of interest inside the magnetic shielding apparatus, the region of interest being a region where a magnetic shielding effect is expected to be achieved, and the magnetic shielding apparatus including N layers of shields disposed in a nested manner; determining a complete parameter set; and obtaining, based on the complete parameter set, a set of result parameters for describing the geometric structure, the set of result parameters that enables magnetic flux density in the region of interest to meet a preset threshold. This method not only greatly improves optimized magnetic shielding performance compared with an equal-spacing solution, but also resolves a problem that an analytical method cannot be used to optimize a magnetic shielding apparatus with a non-concentric structure.
    Type: Application
    Filed: September 16, 2022
    Publication date: April 27, 2023
    Applicants: Peking University, Beijing QuanMag Healthcare Co. Ltd.
    Inventors: Jia-Hong GAO, Dongxu LI, Jingwei SHENG
  • Publication number: 20230125649
    Abstract: An image inpainting method includes: acquiring an image to be inpainted based on depth information and texture information of a reference image, the image to be inpainted including at least one region to be inpainted; determining at least one reference block matching the at least one region to be inpainted respectively in the reference image; and inpainting the at least one region to be inpainted by using the at least one reference block to obtain a composite image.
    Type: Application
    Filed: March 12, 2021
    Publication date: April 27, 2023
    Applicants: BOE TECHNOLOGY GROUP CO., LTD., Peking University
    Inventors: Yan SUN, Yunhe TONG, Tiankuo SHI, Xue CHEN, Yanhui XI, Yuxin BI, Anjie WANG, Songchao TAN, Xiaomang ZHANG
  • Publication number: 20230126920
    Abstract: The present invention relates to a DNA classification method, comprising calculating the MHL value of a DNA methylation haplotype block and/or the DNA copy number variation data of a sample of interest; calculating the similarity between the MHL value of the DNA methylation haplotype block of the sample of interest DNA and the MHL value of a DNA methylation haplotype region of a respective classification label, and/or the similarity between the copy number variation data of the sample of interest DNA and the DNA copy number variation data of a respective classification label; and determining a classification for the DNA in the sample of interest by using a classifier model and based on the similarity. The present invention provides new means with good specificity and sensitivity for detection of tumors in the urogenital system.
    Type: Application
    Filed: October 22, 2020
    Publication date: April 27, 2023
    Applicants: Beijing Institute of Genomics, Chinese Academy of Sciences (China National Center for Bioinformation, Peking University First Hospital
    Inventors: Weimin Ci, Zhengzheng Xu, Liqun Zhou
  • Patent number: 11634454
    Abstract: The present invention pertains to pharmaceutical chemical field, and relates to a sterol derivative as well as preparation method and uses thereof. Specifically, the present invention relates to a compound of Formula I, or a pharmaceutically acceptable salt, ester or ether thereof, wherein, R1 is selected from the group consisting of —OH, ?O(carbonyl), H, and C1-C3 alkyl; R2 is selected from the group consisting of —OH, H, and C1-C3 alkyl; R3 is selected from the group consisting of —OH, ?O, H, and C1-C3 alkyl; R4 is selected from the group consisting of —OH, H, and C1-C3 alkyl; and none, one, two, three or four of R1, R2, R3, and R4 are —OH. The compound of the present invention can inhibit HMG-CoA reductase, tumor cells and lipase effectively, and is a potential drug for reducing blood-fat, antitumors, or for losing weight.
    Type: Grant
    Filed: October 15, 2020
    Date of Patent: April 25, 2023
    Assignee: Beijing Peking University WBL Biotech Co., Ltd.
    Inventors: Zhenwen Duan, Shuren Guo, Xuemei Li
  • Patent number: 11637246
    Abstract: The invention relates to novel organic semiconducting compounds containing a polycyclic unit, to methods for their preparation and educts or intermediates used therein, to compositions, polymer blends and formulations containing them, to the use of the compounds, compositions and polymer blends as organic semiconductors in, or for the preparation of, organic electronic (OE) devices, especially organic photovoltaic (OPV) devices, perovskite-based solar cell (PSC) devices, organic photodetectors (OPD), organic field effect transistors (OFET) and organic light emitting diodes (OLED), and to OE, OPV, PSC, OPD, OFET and OLED devices comprising these compounds, compositions or polymer blends.
    Type: Grant
    Filed: December 21, 2017
    Date of Patent: April 25, 2023
    Assignees: Raynergy Tek Incorporation, Peking University
    Inventors: Agnieszka Pron, Quentin Huaulme, William Mitchell, Mansoor D'Lavari, Xiaowei Zhan, Wei Wang, Guilong Cai
  • Patent number: 11632535
    Abstract: The present disclosure provides a light field imaging system by projecting near-infrared spot in remote sensing based on a multifocal microlens array. The light field imaging system includes a near-infrared spot projection apparatus (100) and a light field imaging component (200), where the near-infrared spot projection apparatus (100) is configured to scatter near-infrared spots on a to-be-observed object to add texture information to a target image, and the light field imaging component (200) is configured to image a target scene light ray with additional texture information. The present disclosure can extend a target depth-of-field (DOF) detection range, and particularly, reconstruct a surface of a weak-texture object.
    Type: Grant
    Filed: December 31, 2020
    Date of Patent: April 18, 2023
    Assignee: Peking University
    Inventors: Lei Yan, Shoujiang Zhao, Peng Yang, Yi Lin, Hongying Zhao, Kaiwen Jiang, Feizhou Zhang, Wenjie Fan, Haimeng Zhao, Jinfa Yang, Fan Liu
  • Patent number: 11624077
    Abstract: A donor construct and a gene knockout method, as well as a system and kit for the gene knockout are provided. The donor construct is a linear donor DNA or can be cleaved in a cell to produce the linear donor DNA. The gene knockout method uses a marker gene contained in the donor construct to enrich cells in which a gene is knocked out, thereby improving the efficiency of generating the gene knockout by a sequence-specific nuclease.
    Type: Grant
    Filed: August 8, 2017
    Date of Patent: April 11, 2023
    Assignees: Peking University, Edigene Biotechnology Inc.
    Inventors: Wensheng Wei, Yiou Chen, Yuexin Zhou, Hongmin Zhang, Pengfei Yuan, Yuan Liu
  • Patent number: 11613735
    Abstract: A method for inducing reprogramming of a cell of a first type which is not a non-hepatocyte (non-hepatocyte cell), into a cell with functional hepatic drug metabolizing and transporting capabilities, is disclosed. The non-hepatocyte is induced to express or overexpress hepatic fate conversion and maturation factors, cultured in somatic cell culture medium, hepatocyte cell culture medium and hepatocyte maturation medium for a sufficient period of time to convert the non-hepatocyte cell into a cell with hepatocyte-like properties. The iHeps induced according to the methods disclosed herein are functional induced hepatocytes (iHeps) in that they express I and II drug-metabolizing enzymes and phase III drug transporters and show superior drug metabolizing activity compared to iHeps obtained by prior art methods. The iHeps thus provide a cell resource for pharmaceutical applications.
    Type: Grant
    Filed: February 4, 2015
    Date of Patent: March 28, 2023
    Assignees: BeiHao Stem Cell and Regenerative Medicine Translational Research Institute, Peking University, Beijing Vitalstar Biotechnology Co., Ltd.
    Inventors: Hongkui Deng, Yuanyuan Du, Yan Shi, Jun Jia, Jinlin Wang, Chengang Xiang, Nan Song, Jun Xu, Ming Yin
  • Publication number: 20230078221
    Abstract: A microneedle biosensor includes a microneedle and a substrate. One end of the microneedle is connected to the substrate, an outer surface of the microneedle is provided with a working electrode and a first electrode, an outer surface of the working electrode is provided with an enzyme, and an outer surface of the microneedle biosensor is covered with a biocompatible film. A method for manufacturing a microneedle biosensor includes: manufacturing the substrate and the microneedle in an additive mode simultaneously; spray-printing and curing the working electrode and the first electrode on the outer surface of the microneedle; spray-printing and drying the enzyme on the outer surface of the working electrode; and using biocompatible liquid for spray-printing, and drying the biocompatible liquid to form the biocompatible film. The substrate, the microneedle, the working electrode, the first electrode, the enzyme and the biocompatible film are all manufactured through a full printing method.
    Type: Application
    Filed: September 14, 2022
    Publication date: March 16, 2023
    Applicant: Peking University
    Inventor: Yue CUI
  • Publication number: 20230056535
    Abstract: The present disclosure relates to the technical field of microwave absorption, and in particular, to a multi-layer wave absorber structure and use thereof. The multi-layer wave absorber structure has a sandwich structure, and an intermediate layer of the sandwich structure is an electromagnetic loss-free dielectric layer. The electromagnetic loss-free dielectric layer includes a vacuum layer, an air layer, a paraffin layer, or a polytetrafluoroethylene layer. The added electromagnetic loss-free dielectric layer enhances impedance matching by modulating phases of electromagnetic waves, such that loss of the electromagnetic waves in a composite wave absorbing layer of the multi-layer wave absorber structure is enhanced, and an effective absorption bandwidth is further improved.
    Type: Application
    Filed: August 23, 2022
    Publication date: February 23, 2023
    Applicant: Peking University
    Inventors: Jinbo YANG, Zhou LIU, Wenyun YANG, Jingzhi HAN, Changsheng WANG, Shunquan LIU
  • Patent number: 11576745
    Abstract: Hollow vector support multifunctional protection devices and systems for minimally invasive surgery are disclosed. In an embodiment, a hollow vector support multifunctional protection device includes a protective head, a pitching mechanism for the protective head, an inner cylinder, an axial movement mechanism for the inner cylinder, and a shell. The protective head includes a flap ring, a plurality of first rotating shafts, a plurality of flaps uniformly arranged on the flap ring through the first rotating shafts, and a torsion spring arranged on the first rotating shafts. The torsion spring is configured to provide a force for opening the plurality of flaps along the first rotating shafts, and the first rotating shafts are provided with limiting structures configured to limit a maximum opening degree of the flaps.
    Type: Grant
    Filed: May 13, 2019
    Date of Patent: February 14, 2023
    Assignee: Peking University School and Hospital of Stomatology
    Inventors: Fusong Yuan, Peijun Lyu
  • Publication number: 20220414427
    Abstract: A spiking convolutional neural network based on a FLASH storage and computing array, including: a sampling module, a FLASH-based storage and computing array and a corresponding neuron module, and a counter module; the sampling module is used to sample an input image to obtain an input spike; the FLASH-based storage and computing array stores a weight matrix, and is used to perform a vector matrix multiplying operation on the input spike and the weight matrix, and an operation result is output in a form of current; the neuron module is used to integrate the operation result of the FLASH-based storage and computing array so as to generate an output spike; the counter module is used to count a number of spikes generated by the neuron module of an output layer, and determine the number of spikes of the neuron module with a largest number of spikes as a recognition result.
    Type: Application
    Filed: December 18, 2019
    Publication date: December 29, 2022
    Applicant: Peking University
    Inventors: Peng HUANG, Yachen XIANG, Jinfeng KANG, Xiaoyan LIU, Runze HAN
  • Patent number: 11525857
    Abstract: A method for characterizing a fluctuation induced by single particle irradiation in a device. A plurality of devices varying in size are tested respectively before and after irradiation to obtain threshold voltage distribution, such that a threshold voltage fluctuation induced by irradiation is obtained and used to correct a process fluctuation model, so as to correct a design margin of the devices working under the irradiation.
    Type: Grant
    Filed: May 13, 2022
    Date of Patent: December 13, 2022
    Assignee: Peking University
    Inventors: Xia An, Zhexuan Ren, Gensong Li, Xing Zhang, Ru Huang
  • Patent number: 11506651
    Abstract: Provided in the present invention a method for evaluating the mixing effect of a CO2 oil-displacing and mixing agent, characterized in measuring the volume expansion of a CO2-oil interface when pressure is gradually increased, drawing a mixed-phase percentage-pressure curve (?-P curve), and evaluating the mixing effect of the CO2 oil-displacing and mixing agent by means of comparing the characteristics of the ?-P curve. Further provided in the present invention is a method for initially screening a CO2 oil-displacing and mixing agent.
    Type: Grant
    Filed: July 1, 2020
    Date of Patent: November 22, 2022
    Assignee: Peking University
    Inventors: Jianbin Huang, Cheng Ma, Kaerdun Liu, Yun Yan, Zhiyang Zhu
  • Patent number: 11494948
    Abstract: The invention discloses a point cloud geometric compression method based on a depth auto-encoder, which comprises the following steps of: (1) point cloud preprocessing: collecting a type of point cloud to be compressed as a training set, and normalizing the training set into a unit circle; (2) point cloud down-sampling: down-sampling the point clouds in the training set so that each point cloud have the same point number m and each point in the point cloud has (x, y, z) three-dimensional coordinates; and adopting a farthest point down-sampling method by randomly selecting a point for the first time and then selecting the point farthest away from the selected point set every time to add into the selected point set until the selected point number meets the requirement; (3) training a compression model: inputting the point cloud sampled in step (2) into a point cloud geometric compression framework based on a depth auto-encoder for training; and (4) geometric compression of the point cloud: applying the trained
    Type: Grant
    Filed: July 15, 2020
    Date of Patent: November 8, 2022
    Assignee: Peking University Shenzhen Graduate School
    Inventors: Ge Li, Wei Yan
  • Publication number: 20220353451
    Abstract: The present application discloses a pixel unit and a signal processing method for a pixel unit. The pixel unit includes at least one pixel, and the pixel includes: an N-type main pixel, a P-type main pixel, and a sub-pixel; and the sub-pixel is located between the N-type main pixel and the P-type main pixel; or the pixel includes at least a first pixel and a second pixel that are adjacent to each other; the first pixel includes an N-type main pixel, and the second pixel includes a P-type main pixel; the first pixel and the second pixel share one sub-pixel; the sub-pixel is configured to generate and output a signal difference between the N-type main pixel and the P-type main pixel according to the current.
    Type: Application
    Filed: June 25, 2021
    Publication date: November 3, 2022
    Applicant: Peking University
    Inventors: Xiaoyan LIU, Liqiao LIU, Gang DU
  • Patent number: 11490134
    Abstract: A method and system for codec of visual feature data is provided. First protocol format visual feature data generated by an intelligent front end and a certificate identity used to uniquely identify a corresponding first protocol format are received. The first protocol format visual feature data is converted to a same type of second protocol format visual feature data according to the certificate identity. The second protocol format visual feature data is received and parsed according to the second protocol format to obtain original visual feature data that are generated by the intelligent front end and contained in the first protocol format visual feature data.
    Type: Grant
    Filed: December 8, 2017
    Date of Patent: November 1, 2022
    Assignee: Peking University
    Inventors: Lingyu Duan, Yihang Lou, Ziqian Chen, Yan Bai, Yicheng Huang, Tiejun Huang, Wen Gao
  • Patent number: 11478822
    Abstract: A wafer level ultrasonic chip module includes a substrate, a composite layer and a base material. The substrate has a through slot passing through an upper surface and a lower surface of the substrate. The composite layer includes an ultrasonic body and a protective layer. A lower surface of the ultrasonic body is exposed from the through slot. The protective layer covers the ultrasonic body and a partial upper surface of the substrate. The composite layer has a groove passing through an upper surface and a lower surface of the protective layer, and communicating with the through slot. The ultrasonic body corresponds to the through slot. The base material covers the through slot, such that a space is formed among the through slot, the lower surface of the ultrasonic body and an upper surface of the base material.
    Type: Grant
    Filed: February 13, 2019
    Date of Patent: October 25, 2022
    Assignees: J-Metrics Technology Co., Ltd., Peking University Shenzhen Graduate School
    Inventors: Yu-Feng Jin, Sheng-Lin Ma, Qian-Cheng Zhao, Yi-Hsiang Chiu, Huan Liu, Hung-Ping Lee, Dan Gong