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公开(公告)号：US20180074729A1
公开(公告)日：2018-03-15
申请号：US15410953
申请日：2017-01-20
Inventor： Jingchao Feng , Liming Xia , Quan Wang , Ning Qu , Zhuo Chen , Yu Ma , Haifeng Wang , Yibing Liang
IPC: G06F3/06
CPC classification number: G06F3/0619 , G06F3/0631 , G06F3/065 , G06F3/067
Abstract: The present application discloses a data storage method and apparatus. A specific implementation of the method includes: acquiring to-be-serialized data and a description file related to the to-be-serialized data, wherein the to-be-serialized data includes a data name and a data value, and the description file includes a file identifier and at least one data element, the data element includes at least one data item, and the data item includes a data item name and a data type; allocating a memory space to the data item according to the data type; finding, according to a preset matching relationship between the to-be-serialized data and the data item, a data item matched with the to-be-serialized data; and storing the data value into the memory space of the found data item as a data item value of the found data item. This implementation improves the data storage efficiency.
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42.发明申请公开(公告)号：US20180067788A1
公开(公告)日：2018-03-08
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 , G06F11/3024 , G06F11/3055 , G06F2209/508 , Y10S901/50
Abstract: This discloure 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 debuging cost, and improve the monitoring efficiency.
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公开(公告)号：US09910851B2
公开(公告)日：2018-03-06
申请号：US14893008
申请日：2014-11-12
Inventor： Haifeng Wang , Hua Wu
CPC classification number: G06F17/2854 , G06F17/2845 , G06F17/289 , G10L15/005 , G10L15/01
Abstract: Disclosed are on-line voice translation method and device. The method comprises: conducting voice recognition on first voice information input by a first user, so as to obtain first recognition information; prompting the first user to confirm the first recognition information; translating the confirmed first recognition information to obtain and output first translation information; extracting, according to second information which is fed back by a second user, associated information corresponding to the second information; and correcting the first translation information according to the associated information and outputting the corrected translation information. By means of the on-line voice translation method and device, smooth communication can be ensured in cross-language exchanges.
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公开(公告)号：US20180048715A1
公开(公告)日：2018-02-15
申请号：US15428972
申请日：2017-02-09
Inventor： Haifeng Wang , Liming Xia , Jingchao Feng , Quan Wang , Ning Qu , Zhou Chen
IPC: H04L29/08 , G05D1/00 , H04L12/751
CPC classification number: H04L67/125 , B25J13/006 , G05D1/0022 , G08C17/00 , H04L45/02
Abstract: The present disclosure provides an information transmitting method and apparatus for use in a robot operating system. A specific implementation mode of the method comprises: acquiring to-be-transmitted information; determining a network relationship between a current node and an information receiving node receiving the to-be-transmitted information, the network relationship comprising a remote relationship and a local relationship; determining a transmission approach of the to-be-transmitted information according to a message transmission parameter, a configuration parameter and the network relationship; transmitting the to-be-transmitted information in the transmission approach. The implementation mode improves the information transmission efficiency of the robot operating system.
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公开(公告)号：US11977850B2
公开(公告)日：2024-05-07
申请号：US17411917
申请日：2021-08-25
Inventor： Fan Wang , Siqi Bao , Huang He , Hua Wu , Jingzhou He , Haifeng Wang
CPC classification number: G06F40/35 , G06F16/325 , G06F16/3347 , G06F18/285 , G06F40/30 , G10L15/01 , G10L15/18 , G10L15/22
Abstract: A method for dialogue processing, an electronic device and a storage medium are provided. The specific technical solution includes: obtaining a dialogue history; selecting a target machine from a plurality of machines; inputting the dialogue history into a trained dialogue model in the target machine to generate a response to the dialogue history, in which the dialogue model comprises a common parameter and a specific parameter, and different machines correspond to the same common parameter.
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Patent Agency Ranking
公开(公告)号：US11954522B2
公开(公告)日：2024-04-09
申请号：US17076346
申请日：2020-10-21
Inventor： Daxiang Dong , Haifeng Wang , Dianhai Yu , Yanjun Ma
CPC classification number: G06F9/4881 , G06F9/52 , G06N20/00
Abstract: Embodiments of the present disclosure disclose a method for processing tasks in parallel, a device and a storage medium, and relate to a field of artificial intelligent technologies. The method includes: determining at least one parallel computing graph of a target task; determining a parallel computing graph and an operator scheduling scheme based on a hardware execution cost of each operator task of each of the at least one parallel computing graph in a cluster, in which the cluster includes a plurality of nodes for executing the plurality of operator tasks, and each parallel computing graph corresponds to at least one operator scheduling scheme; and scheduling and executing the plurality of operator tasks of the determined parallel computing graph in the cluster based on the determined parallel computing graph and the determined operator scheduling scheme.
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公开(公告)号：US11847150B2
公开(公告)日：2023-12-19
申请号：US17407320
申请日：2021-08-20
Inventor： Yuchen Ding , Yingqi Qu , Jing Liu , Kai Liu , Dou Hong , Hua Wu , Haifeng Wang
CPC classification number: G06F16/3347 , G06F16/3344 , G06N20/20
Abstract: The present application discloses a method and apparatus for training a retrieval model, device and computer storage medium that relate to intelligent search and natural language processing technologies. An implementation includes: acquiring initial training data; performing a training operation using the initial training data to obtain an initial retrieval model; selecting texts with the correlation degrees with a query in the training data meeting a preset first requirement from candidate texts using the initial retrieval model; performing a training operation using the updated training data to obtain a first retrieval model; and selecting texts with the correlation degrees with the query in the training data meeting a preset second requirement from the candidate texts using the first retrieval model; and/or selecting texts with the correlation degrees with the query meeting a preset third requirement; and performing a training operation using the expanded training data to obtain a second retrieval model.
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公开(公告)号：US11663404B2
公开(公告)日：2023-05-30
申请号：US17101789
申请日：2020-11-23
Inventor： Shuohuan Wang , Siyu Ding , Yu Sun , Hua Wu , Haifeng Wang
IPC: G06F40/279 , G06N20/00 , G06F40/166 , G06F40/30
CPC classification number: G06F40/279 , G06F40/166 , G06F40/30 , G06N20/00
Abstract: The disclosure provides a text recognition method, an electronic device, and a storage medium. The method includes: obtaining N segments of a sample text; inputting each of the N segments into a preset initial language model in sequence, to obtain first text vector information corresponding to the N segments; inputting each of the N segments into the initial language model in sequence again, to obtain second text vector information corresponding to a currently input segment; in response to determining that the currently input segment has the mask, predicting the mask according to the second text vector information and the first text vector information to obtain a predicted word at a target position corresponding to the mask; training the initial language model according to an original word and the predicted word to generate a long text language model; and recognizing an input text through the long text language model.
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公开(公告)号：US11574133B2
公开(公告)日：2023-02-07
申请号：US17133381
申请日：2020-12-23
Inventor： Wei Li , Xinyan Xiao , Hua Wu , Haifeng Wang
Abstract: The disclosure may provide a method for obtaining a document layout, an electronic device, and a storage medium. The method may include: obtaining a plurality of pieces of first sample data; extracting structured information from each of the plurality of pieces of first sample data as target structured information corresponding to each of the plurality of pieces of first sample data; inputting the plurality of pieces of first sample data into an initial text generation model to generate predicted structured information corresponding to each of the plurality of pieces of first sample data; generating a first loss value based on a difference between the predicted structured information corresponding to each of the plurality of pieces of first sample data and the corresponding target structured information; and training a phrase generation ability of the initial text generation model based on the first loss value to generate the text generation model.
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50.发明授权公开(公告)号：US11531813B2
公开(公告)日：2022-12-20
申请号：US17015411
申请日：2020-09-09
Inventor： Xinchao Xu , Haifeng Wang , Hua Wu , Zhanyi Liu
IPC: G06F40/284 , G06F40/274 , G06N3/08 , G10L15/04 , G10L15/06
Abstract: A method, an electronic device and a readable storage medium for creating a label marking model are disclosed. The method for creating the label marking model includes: obtaining text data and determining a word or phrase to be marked in the text data; according to the word or phrase to be marked, constructing a first training sample of the text data corresponding to a word or phrase replacing task and a second training sample corresponding to a label marking task; training a neural network model with a plurality of the first training samples and a plurality of the second training samples, respectively, until a loss function of the word or phrase replacing task and a loss function of the label marking task satisfy a preset condition, to obtain the label marking model.
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