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公开(公告)号：US20210342722A1
公开(公告)日：2021-11-04
申请号：US17376256
申请日：2021-07-15
Inventor： Jindong Han , Hao Liu
Abstract: An air quality prediction model training method, an air quality prediction method, an electronic device and a storage medium are provided, and relate to the technical field of artificial intelligence, such as deep learning and big data. The training method includes: establishing an air quality prediction model according to spatial correlation information among a plurality of regions; and adjusting the air quality prediction model according to air quality observation values for the plurality of regions and air quality prediction values for the plurality of regions output by the air quality prediction model. The accuracy of air quality prediction result can be improved.
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2.发明申请公开(公告)号：US20210232588A1
公开(公告)日：2021-07-29
申请号：US17021979
申请日：2020-09-15
Inventor： Hao Liu , Weijia Zhang , Hui Xiong
IPC: G06F16/2457 , G08G1/065 , G06F16/29 , G06N3/08
Abstract: A parking lot free parking space predicting method, apparatus, electronic device and storage medium are provided. The method comprises: building a parking lot association graph for parking lots in a region to be processed, each junction therein representing a parking lot, and connecting any two parking lots meeting a predetermined condition through edges; as for any parking lot i, determining local space correlation information of parking lot i at a current time according to environment context features of the parking lot i and neighboring parking lots which are connected to the parking lot i through edges; determining global space correlation information of the parking lot i at the current time according to a built soft allocation matrix; determining time correlation information of the parking lot i at the current time according to the local space correlation information and global space correlation information, and predicting free parking space information of the parking lot i at at least one future time step according to the time correlation information. The solution of the present disclosure may be applied to improve the accuracy of the prediction result.
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3.发明授权公开(公告)号：US11802776B2
公开(公告)日：2023-10-31
申请号：US17212251
申请日：2021-03-25
Inventor： Hao Liu , Panpan Zhang , Jianguo Duan , Hui Xiong
CPC classification number: G01C21/3484 , G01C21/343 , G01C21/3423 , G06Q10/02 , G06Q50/14
Abstract: A cross-regional travel recommendation method and apparatus, an electronic device and a storage medium are provided, which relates to the fields of intelligent transportation and deep learning. A specific implementation solution is: acquiring a travel request of a user, the travel request comprising a start point and an end point which are located in different regions; extracting user features according to the travel request of the user; and recommending at least one travel plan to the user according to the user features and a pre-trained cross-regional travel recommendation model. The technical solutions can make up for the deficiency of the existing technology, provide a cross-regional travel plan recommendation under a large-space scale and a multimodal environment through a pre-trained cross-regional travel recommendation model and user features extracted based on a travel request of a user, and can satisfy a cross-regional travel request of the user, and is highly practical.
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4.发明授权公开(公告)号：US11593384B2
公开(公告)日：2023-02-28
申请号：US17021979
申请日：2020-09-15
Inventor： Hao Liu , Weijia Zhang , Hui Xiong
IPC: G06F16/00 , G06F16/2457 , G06F16/29 , G06N3/08 , G08G1/065
Abstract: A parking lot free parking space predicting method, apparatus, electronic device and storage medium are provided. The method comprises: building a parking lot association graph for parking lots in a region to be processed; aggregating environment context features of neighboring parking lots according to weights of edges between the neighboring parking lots and a parking lot i to obtain a representation vector of the parking lot i at a current time; and pre-training a graph attention neural network model using the environment context features of the neighboring parking lots and free parking space information, and a gated recurrent neural model according to the representation vector of the parking lot it at the current time.
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公开(公告)号：US11507751B2
公开(公告)日：2022-11-22
申请号：US16938355
申请日：2020-07-24
Inventor： Hao Liu , Bolei He , Xinyan Xiao
IPC: G06F40/30 , G06F40/289 , G06F40/242 , G06N3/04 , G06N3/08
Abstract: The present disclosure discloses a comment information processing method and apparatus, and a medium. The specific implementation solution is: in response to a user operation, determining an opinion category corresponding to each opinion phrase in a comment opinion dictionary; obtaining a target corpus matching each opinion phrase from a plurality of comment corpora; for each opinion phrase, using a corresponding opinion category to label the target corpus matching each opinion phrase to obtain a first training sample; and training a classification model with the first training sample to identify the opinion category of a comment by using a trained classification model.
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Patent Agency Ranking
公开(公告)号：US20210341646A1
公开(公告)日：2021-11-04
申请号：US17373113
申请日：2021-07-12
Inventor： Hao Liu , Jindong Han , Hengshu Zhu , Dejing Dou
Abstract: A weather parameter prediction model training method, a weather parameter prediction method, an electronic device and a storage medium are provided, and relate to the technical field of artificial intelligence, such as deep learning and big data. The method includes: establishing a weather parameter prediction model according to spatial correlation information among a plurality of monitoring stations; and adjusting the weather parameter prediction model according to observation values of a weather parameter for the plurality of monitoring stations and prediction values of the weather parameter for the plurality of monitoring stations output by the weather parameter prediction model. The present disclosure can improve an accuracy of predicting weather parameters.
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公开(公告)号：US11537792B2
公开(公告)日：2022-12-27
申请号：US16935040
申请日：2020-07-21
Inventor： Can Gao , Hao Liu , Bolei He , Xinyan Xiao , Hao Tian
IPC: G06F40/00 , G06F40/242 , G06F40/279
Abstract: The present disclosure provides a pre-training method for a sentiment analysis model and an electronic device, which relates to a field of artificial intelligence technologies. The method includes: based on a given seed sentiment dictionary, performing sentimental knowledge detection on a training corpus in a training corpus set, and determining a detection sentiment word and a detection word pair of the training corpus; according to preset mask processing rules, performing mask process on the training corpus to generate a masked corpus; performing encoding and decoding on the masked corpus by using a preset encoder and decoder to determine the detection sentiment word and the detection word pair of the training corpus; and updating the preset encoder and decoder according to a difference between prediction sentiment word and the detection sentiment word, and a difference between prediction word pair and the detection word pair.
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公开(公告)号：US11508153B2
公开(公告)日：2022-11-22
申请号：US17115263
申请日：2020-12-08
Inventor： Chengxiang Liu , Hao Liu , Bolei He
IPC: G06V20/40 , G06K9/62 , G06V30/262 , G06V40/16
Abstract: A method for generating a tag of a video, an electronic device, and a storage medium are related to a field of natural language processing and deep learning technologies. The detailed implementing solution includes: obtaining multiple candidate tags and video information of the video; determining first correlation information between the video information and each of the multiple candidate tags; sorting the multiple candidate tags based on the first correlation information to obtain a sort result; and generating the tag of the video based on the sort result.
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9.发明申请公开(公告)号：US20210389148A1
公开(公告)日：2021-12-16
申请号：US17212251
申请日：2021-03-25
Inventor： Hao Liu , Panpan Zhang , Jianguo Duan , Hui Xiong
Abstract: A cross-regional travel recommendation method and apparatus, an electronic device and a storage medium are provided, which relates to the fields of intelligent transportation and deep learning. A specific implementation solution is: acquiring a travel request of a user, the travel request comprising a start point and an end point which are located in different regions; extracting user features according to the travel request of the user; and recommending at least one travel plan to the user according to the user features and a pre-trained cross-regional travel recommendation model. The technical solutions can make up for the deficiency of the existing technology, provide a cross-regional travel plan recommendation under a large-space scale and a multimodal environment through a pre-trained cross-regional travel recommendation model and user features extracted based on a travel request of a user, and can satisfy a cross-regional travel request of the user, and is highly practical.
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10.发明授权公开(公告)号：US11574259B2
公开(公告)日：2023-02-07
申请号：US17021831
申请日：2020-09-15
Inventor： Hao Liu , Weijia Zhang , Hui Xiong
Abstract: A parking lot free parking space predicting method, apparatus, electronic device and storage medium are provided. The method comprises: building a parking lot association graph for parking lots in a region to be processed; as for any parking lot i, performing the following processing respectively: determining local space correlation information of the parking lot i at a current time according to environment context features of the parking lot i and neighboring parking lots which are in the parking lot association graph and connected to the parking lot i through edges; determining time correlation information of the parking lot i at the current time according to the local space correlation information, and predicting free parking space information of the parking lot i at at least one future time step according to the time correlation information of the parking lot i at the current time.
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