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公开(公告)号：US20210192378A1
公开(公告)日：2021-06-24
申请号：US17128904
申请日：2020-12-21
Inventor： Xinjiang LU , Renjun HU , Hui XIONG
Abstract: The present application proposes a quantitative analysis method for a user decision-making behavior and an apparatus, which relate to the fields of big data calculation and artificial intelligence in computer technology. At least one quantified decision factor related to making a target decision by a user is inputted into a machine learning model; the machine learning model further analyzes the decision factor; and finally a prediction result of making the target decision by the user is determined according to an output of the machine learning model. Therefore, it is possible to analyze the decision factor for making the target decision by the user to obtain the prediction result of making the target decision, thus enriching analysis needs for the user decision-making behavior.
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公开(公告)号：US20240273297A1
公开(公告)日：2024-08-15
申请号：US18642593
申请日：2024-04-22
Inventor： Yu LI , Jiawei ZHENG , Xinjiang LU , Hongwei XIE , Xuejiao LIN , Jingbo ZHOU
IPC: G06F40/295
CPC classification number: G06F40/295
Abstract: An entity recognition method, a model training method, an electronic device, and a medium, which relate to fields of artificial intelligence, information acquiring technologies. The entity recognition method includes: extracting specified entities from a text in a source file of a webpage to be recognized, and acquiring a text encoding result for each specified entity; determining a text block formed by each specified entity in the webpage, and encoding a relative layout information between each two text blocks, to obtain a position encoding result; constructing a triple by the position encoding result for each two text blocks and the text encoding results for respective specified entities of the two text blocks; and performing a graph convolution on each triple to obtain a relation recognition result for the webpage to be recognized, where the relation recognition result indicates whether an association exists between each two text blocks in the webpage.
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3.发明申请公开(公告)号：US20230024680A1
公开(公告)日：2023-01-26
申请号：US17957275
申请日：2022-09-30
Inventor： Xinjiang LU , Dejing DOU
Abstract: A method of determining a regional land usage property, an electronic device and a storage medium, which relate to a field of an information technology, in particular to a field of a deep learning. The method includes: acquiring a human interaction information between a plurality of regions at a specified time; updating an initial representation vector of each of the regions according to the human interaction information, so as to obtain an embedding representation vector of each of the regions; selecting a target region from the regions, and selecting a plurality of static neighbor regions within a preset range around the target region; generating a feature map of the target region according to the embedding representation vector of the target region and the embedding representation vectors of the plurality of static neighbor regions; and predicting a land usage property of the target region by using the feature map.
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Patent Agency Ranking
公开(公告)号：US20220284807A1
公开(公告)日：2022-09-08
申请号：US17824966
申请日：2022-05-26
Inventor： Xinjiang LU , Dejing Dou
IPC: G08G1/01
Abstract: A method of predicting traffic volume, an electronic device, and a storage medium are provided, which relate to a field of artificial intelligence technology, in particular to big data and deep learning technologies The method includes: generating, for a plurality of traffic regions, a function relation graph and a volume relation graph; generating a volume feature of a target traffic region among the plurality of traffic regions, according to a historical volume information of the target traffic region; generating a volume and function relation feature for the target traffic region, based on the function relation graph and the volume relation graph; and predicting a volume of the target traffic region according to the volume feature and the volume and function relation feature.
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公开(公告)号：US20220237388A1
公开(公告)日：2022-07-28
申请号：US17714891
申请日：2022-04-06
Inventor： Xinjiang LU , Yanyan LI , Jingbo ZHOU , Dejing DOU
IPC: G06F40/40 , G06F40/30 , G06F40/177 , G06F40/20
Abstract: A method and apparatus for generating a table description text, a device, and a storage medium are provided. An implementation of the method includes: acquiring a to-be-described table, and analyzing the to-be-described table to obtain a set of metalanguage of the to-be-described table, and finally generating a description text of the to-be-described table based on the metalanguage in the set of metalanguage.
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公开(公告)号：US20220222278A1
公开(公告)日：2022-07-14
申请号：US17706706
申请日：2022-03-29
Inventor： Xinjiang LU , Dejing DOU
IPC: G06F16/28
Abstract: The present disclosure provides a region information processing method and apparatus, and relates to the field of artificial intelligence in computer technologies. The specific implementation is: acquiring a first distance between a first region and a second region, a first object set included in the first region, and a second object set included in the second region; determining spatial dependency information between the first region and the second region according to the first distance; determining object dependency information between the first region and the second region according to the first object set and the second object set; and determining a symbiosis between the first region and the second region according to the spatial dependency information and the object dependency information.
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公开(公告)号：US20210192209A1
公开(公告)日：2021-06-24
申请号：US17173142
申请日：2021-02-10
Inventor： Xinjiang LU , Nengjun ZHU , Hui XIONG
Abstract: This disclosure discloses a resident area prediction method, apparatus, device and storage medium, involving artificial intelligence technology, big data, deep learning and multi-task learning. The specific implementation plan is: acquiring a resident area data of a target user, and the resident area data including the resident area of the target user and the corresponding resident time; obtaining an association relationship between the resident areas of the target user by inputting the resident area data into an area relationship model, and the area relationship model is used to reflect a position relationship between the areas; determining a time-sequence relationship between the areas visited by the target user, according to the association relationship, the resident time and the visiting POI data; predicting a target resident area of the target user, according to the time-sequence relationship and the basic attribute information of the target user.
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公开(公告)号：US20210108941A1
公开(公告)日：2021-04-15
申请号：US16864648
申请日：2020-05-01
Inventor： Xinjiang LU , Yanyan LI , Jianguo DUAN , Hui XIONG , Guanglei DU
IPC: G01C21/36
Abstract: The present disclosure discloses a method, an apparatus, a device, and a storage medium for determining a point of interest area, and relates to the field of automatic driving. The implementation solution is that the method is applied to an electronic device, and includes: receiving a point of interest area determination request input by a first user, the point of interest area determination request including a target area coverage; and acquiring grid data of at least one block within the target area coverage in response to the point of interest area determination request; acquiring, for each block, positioning data of a second user within each preset time period and number of parent points of interest; clustering corresponding grid data according to the positioning data, the grid data and the number of the parent points of interest; determining at least one POI area in each block according to a clustering result.
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