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公开(公告)号：US11899699B2
公开(公告)日：2024-02-13
申请号：US17347448
申请日：2021-06-14
Inventor： Kaichun Yao , Chuan Qin , Hengshu Zhu , Chao Ma , Jingshuai Zhang
IPC: G06F40/289 , G06F40/40 , G06F16/332 , G06F16/335 , G06F40/20
CPC classification number: G06F16/3329 , G06F16/335 , G06F40/20
Abstract: This application discloses a keyword generating method, an apparatus, a device and a storage medium, which relate to the field of natural language processing in the field of artificial intelligence. A specific implementation scheme includes: inputting a target text into a text processing model, obtaining a word sequence corresponding to the target text, and generating a semantic representation sequence corresponding to the word sequence; making prediction about each semantic representation vector in the semantic representation sequence respectively to obtain a prediction result; and if the prediction result indicates that a word corresponding to the semantic representation vector is capable of triggering a generation of a keyword, outputting the keyword based on the semantic representation vector and the prediction result. This method improves the accuracy of generating keywords.
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公开(公告)号：US20230140148A1
公开(公告)日：2023-05-04
申请号：US18148775
申请日：2022-12-30
Inventor： Zheng Dong , Peng Wang , Xin Song , Hengshu Zhu , Kaichun Yao
IPC: G06F16/9536
Abstract: A method for community search is performed by an electronic device. The method includes: obtaining graph data to be processed, in which the graph data includes a plurality of nodes and a plurality of connection edges between the nodes; determining a query node from the plurality of nodes based on the graph data, and determining a target community to which the query node belongs by performing a community search for the query node, in which the target community includes the query node, and at least one node other than the query node in the plurality of nodes; and determining the query node and performing the community search for the query node repeatedly until the community to which each node included in the graph data belongs is determined.
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公开(公告)号：US20230093528A1
公开(公告)日：2023-03-23
申请号：US18070775
申请日：2022-11-29
Inventor： Ying SUN , Hengshu Zhu , Chuan Qin , Fuzhen Zhuang , Hui Xiong
Abstract: An interpretation method for a neural network model is provided. Input data and output data corresponding to the input data of a neural network model are acquired, in which the neural network model includes layers of networks connected sequentially, and each layer of network corresponds to a plurality of candidate concepts. A key inference path through which the output data is obtained by the neural network model based on the input data are acquired, in which the key inference path includes target concepts respectively used by the layers of networks when the input data is processed in the neural network model, in which the target concepts are selected from the plurality of candidate concepts. Interpretation information corresponding to the layers of networks is determined according to the target concepts corresponding to the layers of networks, respectively. The key inference path and the interpretation information are output.
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公开(公告)号：US20220414689A1
公开(公告)日：2022-12-29
申请号：US17900649
申请日：2022-08-31
Inventor： Qi Zhang , Hengshu Zhu , Peng Wang , Hao Liu , Hui Xiong
Abstract: A method and an apparatus for training a path representation model are provided. The method may include: acquiring at least one trajectory point of at least one user, where each trajectory point of each user includes a place passed by the user, a start time and a duration; inputting the at least one trajectory point of the at least one user into a pre-trained model to obtain a trajectory representation of each user; obtaining, for each user, a position of each trajectory point from the trajectory representation of the user by searching according to the start time and the duration of each trajectory point of the user; and adjusting a network parameter of the pre-trained model according to a difference between the place passed by each user and the position of each trajectory point obtained by searching, to obtain a path representation model.
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Patent Agency Ranking
公开(公告)号：US12277397B2
公开(公告)日：2025-04-15
申请号：US17564369
申请日：2021-12-29
Inventor： Chao Ma , Jingshuai Zhang , Qifan Huang , Kaichun Yao , Peng Wang , Hengshu Zhu
Abstract: A method of training a model, a method of determining a word vector, a device, a medium, and a product are provided, which may be applied to fields of natural language processing, information processing, etc. The method includes: acquiring a first word vector set corresponding to a first word set; and generating a reduced-dimensional word vector for each word vector in the first word vector set based on a word embedding model, generating, for other word vector in the first word vector set, a first probability distribution in the first word vector set based on the reduced-dimensional word vector, and adjusting a parameter of the word embedding model so as to minimize a difference between the first probability distribution and a second probability distribution for the other word vector determined by a number of word vector in the first word vector set.
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公开(公告)号：US12265950B2
公开(公告)日：2025-04-01
申请号：US17564363
申请日：2021-12-29
Inventor： Jingshuai Zhang , Qifan Huang , Chao Ma , Hengshu Zhu , Peng Wang , Kaichun Yao , Jing Wang
IPC: G06Q10/1053 , G06N3/08
Abstract: The present disclosure provides a method and an apparatus of matching data, a device and a computer-readable storage medium, which are related to the field of artificial intelligence technology, and in particularly to the field of intelligent search and deep learning. The specific implementation solution includes: obtaining a first instance of a resume and a second instance of a job profile; determining, for a meta path, a resume feature data of the first instance and a profile feature data of the second instance, the meta path is a knowledge graph path from the resume to the job profile; and applying a classification model to the resume feature data of the first instance and the profile feature data of the second instance to determine a matching result between the first instance and the second instance.
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7.发明授权公开(公告)号：US12038989B2
公开(公告)日：2024-07-16
申请号：US18148775
申请日：2022-12-30
Inventor： Zheng Dong , Peng Wang , Xin Song , Hengshu Zhu , Kaichun Yao
IPC: G06F16/00 , G06F16/9536 , G06N3/092
CPC classification number: G06F16/9536 , G06N3/092
Abstract: A method for community search is performed by an electronic device. The method includes: obtaining graph data to be processed, in which the graph data includes a plurality of nodes and a plurality of connection edges between the nodes; determining a query node from the plurality of nodes based on the graph data, and determining a target community to which the query node belongs by performing a community search for the query node, in which the target community includes the query node, and at least one node other than the query node in the plurality of nodes; and determining the query node and performing the community search for the query node repeatedly until the community to which each node included in the graph data belongs is determined.
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8.发明授权公开(公告)号：US11989962B2
公开(公告)日：2024-05-21
申请号：US17559643
申请日：2021-12-22
Inventor： Chao Ma , Jingshuai Zhang , Qifan Huang , Kaichun Yao , Peng Wang , Hengshu Zhu
IPC: G06V30/00 , G06V30/148 , G06V30/18 , G06V30/262 , G06V30/41
CPC classification number: G06V30/153 , G06V30/18181 , G06V30/274 , G06V30/41
Abstract: A method, an apparatus, a device, a storage medium and a program product of performing a text matching are provided, which relate to a field of a computer technology, and in particular to natural language processing and deep learning technologies. The method includes: determining a word set and a plurality of semantic units from a text set, the word set is associated with a first predetermined attribute, and the text set contains a plurality of first texts indicating an object information and a plurality of second texts indicating an object demand information; generating a graph; and generating a final feature representation associated with the text set and the word set based on the graph and a graph convolution model, so as to perform the text matching.
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公开(公告)号：US20230127699A1
公开(公告)日：2023-04-27
申请号：US18088872
申请日：2022-12-27
Inventor： Ji Liu , Sunjie Yu , Weijia Zhang , Hao Liu , Hengshu Zhu , Dejing Dou , Hui Xiong
Abstract: A method of training a model, a method of determining an asset valuation, a device, a storage medium, and a program product, which relate to a field of artificial intelligence, in particular to fields of deep learning and natural language understanding. A specific implementation can include: determining an event-level representation according to a first set of feature data; performing a multi-task learning for a first model according to the event-level representation, to obtain first price distribution data, and transmitting the first price distribution data to a central server; determining a first intra-region representation according to a second set of feature data; adding a noise signal to the first intra-region representation, and transmitting the noised intra-region representation to a client; and adjusting a parameter of the first model according to a noised parameter gradient in response to the noised parameter gradient being received from the central server.
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