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公开(公告)号：US12148295B2
公开(公告)日：2024-11-19
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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12.发明公开公开(公告)号：US20240104906A1
公开(公告)日：2024-03-28
申请号：US18099551
申请日：2023-01-20
Inventor： Xuhong Li , Jiamin Chen , Haoyi Xiong , Dejing Dou
IPC: G06V10/776
CPC classification number: G06V10/776
Abstract: Provided is a model interpretation method, an image processing method, an electronic device and a storage medium, relating to the field of artificial intelligence, in particular to the field of deep learning. The model interpretation method includes: obtaining a token vector corresponding to an image feature input to a first model; obtaining a model prediction result output by the first model; and determining, according to a combination of an attention weight and a gradient, an association relation between the token vector input to the first model and the model prediction result output by the first model, where the association relation is used to characterize interpretability of the first model.
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Patent Agency Ranking
公开(公告)号：US11928563B2
公开(公告)日：2024-03-12
申请号：US17355347
申请日：2021-06-23
Inventor： Xingjian Li , Haoyi Xiong , Dejing Dou
IPC: G06N20/00 , G06F18/214 , G06F18/22 , G06F18/24 , G06F18/25 , G06N5/04 , G06V10/774 , G06V10/82 , G06V10/84
CPC classification number: G06N20/00 , G06F18/214 , G06F18/22 , G06F18/24 , G06F18/251 , G06N5/04 , G06V10/774 , G06V10/82 , G06V10/84
Abstract: The present application provides a model training, image processing method, device, storage medium, and program product relating to deep learning technology, which are able to screen auxiliary image data with image data for learning a target task, and further fuse the target image data and the auxiliary image data, so as to train a built and to-be-trained model with the fusion-processed fused image data. This implementation can increase the amount of data for training the model, and the data for training the model is determined is based on the target image data, which is suitable for learning the target task. Therefore, the solution provided by the present application can train an accurate target model even if the amount of target image data is not sufficient.
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公开(公告)号：US11893073B2
公开(公告)日：2024-02-06
申请号：US17729282
申请日：2022-04-26
Inventor： Yanyan Li , Airong Jiang , Shilin Wu , Dejing Dou
IPC: G06F16/00 , G06F16/9538 , G06N20/00 , G06F16/9537 , G06F16/29
CPC classification number: G06F16/9538 , G06F16/29 , G06F16/9537 , G06N20/00
Abstract: The present disclosure discloses a method and apparatus for displaying map points of interest, and an electronic device, relates to the field of artificial intelligence, and in particular to intelligent transportation. A specific implementation solution includes: acquiring features corresponding to multiple candidate points of interest; determining predicted popularity of the multiple candidate points of interest according to a mapping relation between each feature and each popularity and the features of the multiple candidate points of interest, and the mapping relation is determined based on the frequency of operations performed by a user for each sample point of interest in a historical time period; and displaying the candidate points of interest of which predicted popularity meets a preset popularity condition in a map. Therefore, the accuracy of the displayed points of interest may be enhanced.
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公开(公告)号：US11599594B2
公开(公告)日：2023-03-07
申请号：US17829113
申请日：2022-05-31
Inventor： Yaqing Wang , Dejing Dou
IPC: G06F16/955 , G06F16/9532 , G06F16/906 , G06F16/903 , G06F16/9538
Abstract: A method for data processing is provided. The method includes obtaining first retrieving data associated with a first user and a first retrieving result selected by the first user from at least one retrieving result corresponding to the first retrieving data. The first retrieving data is labelled with an intention tag indicating a retrieving intention of the first user. The method further includes obtaining second retrieving data that is used by a second user to conduct retrieving and selecting the first retrieving result within a predetermined time period. The method further includes assigning the intention tag to the second retrieving data.
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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：US20220191270A1
公开(公告)日：2022-06-16
申请号：US17687123
申请日：2022-03-04
Inventor： Ji Liu , Xiyue Zhang , Haoyi Xiong , Dejing Dou , Shilei Ji
Abstract: A method of data interaction, a data interaction apparatus, an electronic device and a non-transitory computer readable storage medium are provided, related to field of computer technologies, and in particular to the field of artificial intelligence technologies. When the method of data interaction is applied to the first data platform, the method includes: sending a data request to a second data platform based on a first resource server provided by a cloud or based on a local server; acquiring response data fed back by the second data platform based on a second resource server provided by the cloud; at least one of the first resource server and the second resource server is dynamically created by the cloud.
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