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公开(公告)号：US20210365738A1
公开(公告)日：2021-11-25
申请号：US17444427
申请日：2021-08-04
Inventor： Zhuang Jia , Xiang Long , Honghui Zheng , Yan Peng , Yuan Feng , Bin Zhang , Xiaodi Wang , Pengcheng Yuan , Ying Xin , Shumin Han
Abstract: The present disclosure discloses a method and apparatus for training a model, a method and apparatus for predicting a mineral, a device and a storage medium, and relates to the fields of computer vision and deep learning technologies. An implementation of the method may include: acquiring a target hyperspectral image of a target area, the target hyperspectral image including at least one pixel point annotated with a mineral category; determining a mask image corresponding to the target hyperspectral image; determining a sample hyperspectral image according to the target hyperspectral image and the mask image; determining an annotation vector of each pixel point according to the at least one pixel point annotated with the mineral category; and training a model according to the sample hyperspectral image and the annotation vector of the each pixel point.
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公开(公告)号：US20210224139A1
公开(公告)日：2021-07-22
申请号：US17076370
申请日：2020-10-21
Inventor： Yang WANG , Xunchao SONG , Pengcheng Yuan , Yifei Wang , Haiping Zhang
IPC: G06F9/52 , G06T1/20 , G06T1/60 , G06F9/50 , G06F16/901
Abstract: The present disclosure provides a method for graph computing, an electronic device and a non-transitory computer-readable storage medium. An execution engine for managing execution of the graph computing is configured in a CPU. One or more interface functions running in a GPU for processing parameters of the graph computing are configured. During the execution of the graph computing, the one or more interface functions are called by the execution engine through a graph computing interface. The interface functions are executed in the GPU in parallel through multiple parallel threads. The interface functions are configured to process a plurality of graph vertexes in parallel. The multiple parallel threads are configured to feedback respective execution results of the interface functions to the execution engine. The graph computing is completed by the execution engine according to the execution results.
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公开(公告)号：US20210216885A1
公开(公告)日：2021-07-15
申请号：US17213952
申请日：2021-03-26
Inventor： Pingping Huang , Quan Wang , Wenbin Jiang , Pengcheng Yuan
Abstract: A method, apparatus, device, and storage medium for expanding data are disclosed. The method includes: acquiring a triplet from a knowledge graph; mining a relationship path equivalent to a relationship in the triplet from the knowledge graph, a subject in the triplet being used as a start point of the relationship path, and an object in the triplet being used as an end point of the relationship path; and expanding the triplet based on the relationship path to generate an expanded triplet. This implementation expands the triplet in the knowledge graph, and strengthens the association between the subject and the object in the triplet in a larger context, such that the association between the subject and the object in the triplet is more global.
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公开(公告)号：US10983978B2
公开(公告)日：2021-04-20
申请号：US16161968
申请日：2018-10-16
Inventor： Yang Wang , Xi Chen , Pengcheng Yuan , Xunchao Song , Xiaobo Liu
Abstract: The present disclosure provides a method for updating a relational index, a storage medium and an electronic device. The method includes: reading out relational data of an entity to be operated from a disk to a memory; performing an updating operation on the relational data in the memory; storing the updated relational data into a memory relational index; writing content data of the entity to be operated into the disk; and synchronizing periodically the memory relational index to a disk relational index.
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Patent Agency Ranking
公开(公告)号：US11941055B2
公开(公告)日：2024-03-26
申请号：US17076370
申请日：2020-10-21
Inventor： Yang Wang , Xunchao Song , Pengcheng Yuan , Yifei Wang , Haiping Zhang
IPC: G06F16/901
CPC classification number: G06F16/9024
Abstract: The present disclosure provides a method for graph computing, an electronic device and a non-transitory computer-readable storage medium. An execution engine for managing execution of the graph computing is configured in a CPU. One or more interface functions running in a GPU for processing parameters of the graph computing are configured. During the execution of the graph computing, the one or more interface functions are called by the execution engine through a graph computing interface. The interface functions are executed in the GPU in parallel through multiple parallel threads. The interface functions are configured to process a plurality of graph vertexes in parallel. The multiple parallel threads are configured to feedback respective execution results of the interface functions to the execution engine. The graph computing is completed by the execution engine according to the execution results.
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16.发明授权公开(公告)号：US11763552B2
公开(公告)日：2023-09-19
申请号：US17116597
申请日：2020-12-09
Inventor： Shufei Lin , Jianfeng Zhu , Pengcheng Yuan , Bin Zhang , Shumin Han , Yingbo Xu , Yuan Feng , Ying Xin , Xiaodi Wang , Jingwei Liu , Shilei Wen , Hongwu Zhang , Errui Ding
IPC: G06V10/82 , G06N3/088 , G06T7/00 , G06F18/214 , G06N3/045 , G06V10/776 , G06V20/60
CPC classification number: G06V10/82 , G06F18/2148 , G06N3/045 , G06N3/088 , G06T7/0004 , G06V10/776 , G06V20/60 , G06T2207/20081 , G06T2207/20084 , G06T2207/30124
Abstract: A method for detecting a surface defect, a method for training model, an apparatus, a device, and a medium, are provided. The method includes: inputting a surface image of the article for detection into a defect detection model to perform a defect detection, and acquiring a defect detection result output by the defect detection model; inputting a surface image of a defective article determined to be defective into an image discrimination model based on the defect detection result to determine whether the surface image of the defective article is defective, wherein the image discrimination model is a trained generative adversarial networks model, and the generative adversarial networks model is obtained by training using a surface image of a defect-free good article; and adjusting the defect detection result of the surface image of the defective article according to a determination result of the image discrimination model.
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公开(公告)号：US11334551B2
公开(公告)日：2022-05-17
申请号：US17038276
申请日：2020-09-30
Inventor： Yang Wang , Xunchao Song , Pengcheng Yuan , Haiping Zhang , Yifei Wang
IPC: G06F16/22 , G06F16/2455
Abstract: A method for storing a determinant text, an electronic device, and a computer-readable storage medium is disclosed. The method includes: obtaining a determinant text that is to be stored, the determinant text including a plurality of fields; obtaining valid fields from the plurality of fields; querying a field type table according to the valid fields to generate a data description field of the determinant text; determining a value storage field of the determinant text according to contents of the plurality of fields and the field type table; and storing the data description field and the value storage field to store the determinant text.
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公开(公告)号：US20210383520A1
公开(公告)日：2021-12-09
申请号：US17412435
申请日：2021-08-26
Inventor： Mingyuan Mao , Yuan Feng , Ying Xin , Pengcheng Yuan , Bin Zhang , Xiaodi Wang , Xiang Long , Yan Peng , Honghui Zheng , Shumin Han
Abstract: The present disclosure discloses a method and apparatus for generating an image, a device, a storage medium and a program product, relates to the field of artificial intelligence, and particularly to computer vision and deep learning technologies, and may be applied in smart cloud and power grid inspection scenarios. A particular implementation of the method comprises: acquiring an original insulator image; performing an image transformation on the original insulator image to obtain a composite insulator image; and inputting the original insulator image and the composite insulator image into a pre-trained generative adversarial network to generate a target insulator image. According to the implementation, the image transformation is performed on the original insulator image, and then, massive target insulator images are generated through the generative adversarial network.
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公开(公告)号：US10860478B2
公开(公告)日：2020-12-08
申请号：US16134423
申请日：2018-09-18
Inventor： Yang Wang , Xunchao Song , Pengcheng Yuan , Xiaobo Liu , Xi Chen
IPC: G06F12/06
Abstract: A method and an apparatus for storing data are provided. The method includes: acquiring target data, the target data including first key-value pair data, object data or array data, the key-value pair data including key data and value data, the object data including second key-value pair data, and the array data including object data; determining an object data number of the object data included in the target data, an array data number of the array data included in the target data, a first key-value pair data number of the first key-value pair data included in the target data, and a second key-value pair data number of the second key-value pair data included in the target data; determining a storage space based on the determined numbers; and storing the target data into the storage space.
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