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61.发明授权公开(公告)号：US10127093B1
公开(公告)日：2018-11-13
申请号：US16039151
申请日：2018-07-18
Inventor： Yu Ma , Weide Zhang , Wei He , Haifeng Wang , Yibing Liang , Zhuo Chen
Abstract: This disclosure discloses a method and apparatus for monitoring a message transmission frequency in a robot operating system. A specific implementation of the method includes: writing to-be-transmitted messages, into a pre-allocated memory; obtaining time points when the to-be-transmitted messages are written into the memory, and recording the time points in a preset time point list; determining a message transmission frequency within a preset time interval based on the time points in the time point list; and comparing the message transmission frequency with a preset message transmission frequency threshold, and generating monitoring information based on a comparing result. This implementation monitors the message transmission frequency of a process to thereby avoid information codes related to monitoring of each application from being added to the application so as to reduce the program debugging cost, and improve the monitoring efficiency.
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62.发明授权公开(公告)号：US10055265B2
公开(公告)日：2018-08-21
申请号：US15410446
申请日：2017-01-19
Inventor： Yu Ma , Weide Zhang , Wei He , Haifeng Wang , Yibing Liang , Zhuo Chen
CPC classification number: G06F9/546 , G06F11/3006 , G06F11/3013 , G06F11/3024 , G06F11/3055 , G06F11/3072 , G06F2201/81 , G06F2209/508 , Y10S901/50
Abstract: This discolor discloses a method and apparatus for monitoring a message transmission frequency in a robot operating system. A specific implementation of the method includes: writing to-be-transmitted messages, into a pre-allocated memory; obtaining time points when the to-be-transmitted messages are written into the memory, and recording the time points in a preset time point list; determining a message transmission frequency within a preset time interval based on the time points in the time point list; and comparing the message transmission frequency with a preset message transmission frequency threshold, and generating monitoring information based on a comparing result. This implementation monitors the message transmission frequency of a process to thereby avoid information codes related to monitoring of each application from being added to the application so as to reduce the program debugging cost, and improve the monitoring efficiency.
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公开(公告)号：US20180074878A1
公开(公告)日：2018-03-15
申请号：US15410454
申请日：2017-01-19
Inventor： Yu Ma , Weide Zhang , Wei He , Haifeng Wang , Zhuo Chen , Yibing Liang
IPC: G06F11/07
CPC classification number: G06F11/1438 , G06F11/0736 , G06F11/0739 , G06F11/076
Abstract: This disclosure discloses a method and apparatus for monitoring a robot operating system. The method in an embodiment includes: obtaining process identities of to-be-monitored nodes in a group of to-be-monitored nodes; inquiring about state information of processes corresponding to the process identities; determining whether the to-be-monitored nodes are operating normally, based on the state information of the processes; and outputting information that the group of to-be-monitored nodes is abnormal, in response to a number of normally operating to-be-monitored nodes in the group of to-be-monitored nodes being below a predetermined threshold. In this embodiment, the nodes are monitored in groups to improve the efficiency of maintaining the robot operating system.
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公开(公告)号：US12229667B2
公开(公告)日：2025-02-18
申请号：US17209576
申请日：2021-03-23
Inventor： Daxiang Dong , Wenhui Zhang , Zhihua Wu , Dianhai Yu , Yanjun Ma , Haifeng Wang
IPC: G06N3/08 , G06F9/50 , G06F18/214
Abstract: A method and an apparatus for generating a shared encoder are provided, which belongs to a field of computer technology and deep learning. The method includes: sending by a master node a shared encoder training instruction to child nodes, so that each child node obtains training samples based on a type of a target shared encoder included in the training instruction; sending an initial parameter set of the target shared encoder to be trained to each child node after obtaining a confirmation message returned by each child node; obtaining an updated parameter set of the target shared encoder returned by each child node; determining a target parameter set corresponding to the target shared encoder based on a first preset rule and the updated parameter set of the target shared encoder returned by each child node.
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公开(公告)号：US11995560B2
公开(公告)日：2024-05-28
申请号：US17043227
申请日：2020-04-07
Inventor： Quan Wang , Pingping Huang , Haifeng Wang , Wenbin Jiang , Yajuan Lyu , Yong Zhu , Hua Wu
IPC: G06N5/02 , G06F16/31 , G06F16/33 , G06F16/35 , G06F16/36 , G06F16/901 , G06F16/906 , G06F40/279 , G06N3/042 , G06N3/045 , G06N3/08 , G06N5/022
CPC classification number: G06N5/02 , G06N5/022 , G06F16/31 , G06F16/316 , G06F16/3347 , G06F16/35 , G06F16/36 , G06F16/367 , G06F16/9017 , G06F16/9024 , G06F16/906 , G06F40/279 , G06N3/042 , G06N3/045 , G06N3/08
Abstract: The present disclosure discloses a method and an apparatus for generating a vector representation of a knowledge graph, and relates to a field of a field of artificial intelligence technologies. The detailed implementing solution is: obtaining a knowledge graph, the knowledge graph including a plurality of entity nodes; obtaining a context type and context data corresponding to the knowledge graph; and generating vector representations corresponding to the plurality of entity nodes by a context model based on the context data and the context type.
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Patent Agency Ranking
公开(公告)号：US11687718B2
公开(公告)日：2023-06-27
申请号：US17116846
申请日：2020-12-09
Inventor： Chao Pang , Shuohuan Wang , Yu Sun , Hua Wu , Haifeng Wang
IPC: G06F17/00 , G06F40/295 , G06F40/137 , G06F40/30
CPC classification number: G06F40/295 , G06F40/137 , G06F40/30
Abstract: A method, an apparatus, a device and a storage medium for learning a knowledge representation are provided. The method can include: sampling a sub-graph of a knowledge graph from a knowledge base; serializing the sub-graph of the knowledge graph to obtain a serialized text; and reading using a pre-trained language model the serialized text in an order in the sub-graph of the knowledge graph, to perform learning to obtain a knowledge representation of each word in the serialized text. The knowledge representation learning in this embodiment is performed for entity and relationship representation learning in the knowledge base.
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公开(公告)号：US11562150B2
公开(公告)日：2023-01-24
申请号：US17031569
申请日：2020-09-24
Inventor： Han Zhang , Dongling Xiao , Yukun Li , Yu Sun , Hao Tian , Hua Wu , Haifeng Wang
Abstract: The present disclosure proposes a language generation method and apparatus. The method includes: performing encoding processing on an input sequence by using a preset encoder to generate a hidden state vector corresponding to the input sequence; in response to a granularity category of a second target segment being a phrase, decoding a first target segment vector, the hidden state vector, and a position vector corresponding to the second target segment by using N decoders to generate N second target segments; determining a loss value based on differences between respective N second target segments and a second target annotated segment; and performing parameter updating on the preset encoder, a preset classifier, and the N decoders based on the loss value to generate an updated language generation model for performing language generation.
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68.发明授权公开(公告)号：US11520991B2
公开(公告)日：2022-12-06
申请号：US16885358
申请日：2020-05-28
Inventor： Yu Sun , Haifeng Wang , Shuohuan Wang , Yukun Li , Shikun Feng , Hao Tian , Hua Wu
Abstract: The present disclosure provides a method, apparatus, electronic device and storage medium for processing a semantic representation model, and relates to the field of artificial intelligence technologies. A specific implementation solution is: collecting a training corpus set including a plurality of training corpuses; training the semantic representation model using the training corpus set based on at least one of lexicon, grammar and semantics. In the present disclosure, by building the unsupervised or weakly-supervised training task at three different levels, namely, lexicon, grammar and semantics, the semantic representation model is enabled to learn knowledge at levels of lexicon, grammar and semantics from massive data, enhance the capability of universal semantic representation and improve the processing effect of the NLP task.
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公开(公告)号：US11275904B2
公开(公告)日：2022-03-15
申请号：US16868426
申请日：2020-05-06
Inventor： Ruiqing Zhang , Chuanqiang Zhang , Hao Xiong , Zhongjun He , Hua Wu , Zhi Li , Haifeng Wang
Abstract: Embodiments of the present disclosure provide a method and an apparatus for translating a polysemy, and a medium. The method includes: obtaining a source language text; identifying and obtaining the polysemy from the source language text; inquiring related words corresponding to each interpretation of the polysemy; determining a target interpretation corresponding to the related words contained in the source language text; and translating the polysemy into the target interpretation.
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70.发明申请公开(公告)号：US20220004892A1
公开(公告)日：2022-01-06
申请号：US17480575
申请日：2021-09-21
Inventor： Quan Wang , Haifeng Wang , Yajuan Lyu , Yong Zhu
IPC: G06N5/02 , G06N20/00 , G06F40/30 , G06F40/205
Abstract: A method for training a multivariate relationship generation model, an electronic device and a medium are provided. The technical solution includes: obtaining a plurality of knowledge text entries; performing semantic parsing on each knowledge text entry to obtain a plurality of entities and semantic information of each knowledge text entry; constructing a heterogeneous graph based on the plurality of entities and the semantic information; and training an initial artificial intelligence (AI) network model based on the heterogeneous graph to obtain a multivariate relationship generation model.
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