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公开(公告)号：US11823574B2
公开(公告)日：2023-11-21
申请号：US17042834
申请日：2019-03-28
Inventor： Jizhou Huang , Hao Zhang
IPC: G08G1/0968 , G01C21/34 , G01C21/36 , G08G1/01 , G08G1/0967
CPC classification number: G08G1/096844 , G01C21/3492 , G01C21/3641 , G08G1/0112 , G08G1/0129 , G08G1/0133 , G08G1/096708 , G08G1/096775
Abstract: A method and apparatus for predicting a road condition, a device and a computer storage medium are disclosed. The method includes: determining at least two continuous road segments obtained by dividing a navigation path; and performing the following processing on each road segment one by one from the starting point of the navigation path to the end point thereof respectively: determining the moment when the user reaches the road segment processed currently; predicting road condition information of the road segment processed currently at the determined moment; and predicting passing duration of the user at the road segment processed currently based on the road condition information of the road segment processed currently at the determined moment. With such a road-condition prediction mode, the road condition at the moment when the user will reach each road segment in the future may be predicted, and compared with the mode of predicting the road condition based on the user query moment, more accurate road condition information may be provided.
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公开(公告)号：US11645909B2
公开(公告)日：2023-05-09
申请号：US17034360
申请日：2020-09-28
Inventor： Deguo Xia , Jizhou Huang , Hui Zhao , Liuhui Zhang , Hongxia Bai , Yuting Liu
CPC classification number: G08G1/096783 , G08G1/0116 , G08G1/052 , G08G1/056 , G08G1/164 , G08G1/166 , H04W4/44
Abstract: The present disclosure discloses a method, apparatus and electronic device for early-warning, relates to the field of internet of vehicle and used for an intelligent traffic scenario. The specific implementations are: determining a target object crossing a road at a current moment, the road crossed by the target object being a first road; determining a target area based on a location of the target object; determining a target vehicle on the first road based on locations of vehicles on the first road as well as the target area; and sending an early-warning message to the target vehicle. It is using the locations of vehicles on the first road as well as the location of the target object crossing the road to determine the target vehicle during determination of the target vehicle among the vehicles on the first road, in order to send early-warning message to the target vehicle to achieve early-warning of the target vehicle and increase precision of the early-warning.
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公开(公告)号：US11468349B2
公开(公告)日：2022-10-11
申请号：US16936190
申请日：2020-07-22
Inventor： Miao Fan , Jizhou Huang , An Zhuo , Ying Li , Ping Li , Haifeng Wang
Abstract: A POI valuation method, apparatus, device and computer storage medium are disclosed. The method comprises: obtaining information of first POIs with known values and information of second POIs with unknown values within a regional range; creating a valuation model which is configured to revaluate a first POI using values of surrounding POIs of the first POI, the surrounding POIs including other first POIs and second POIs within a predetermined range of distance from the first POI, and adjusting values of second POIs in the surrounding POIs using an error between a revaluated value of first POI and the known value of the first POI; training the valuation model until the error is minimized; obtaining the values of the second POIs from the valuation model. The solutions may reduce the requirement for manpower and improve the valuation efficiency as compared with manually valuation of POIs one by one.
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公开(公告)号：US11328708B2
公开(公告)日：2022-05-10
申请号：US16930223
申请日：2020-07-15
Inventor： Yingchao Shi , Jizhou Huang
Abstract: The present disclosure provides a speech error-correction method, device and storage medium. The method includes: determining at least one language type to which a present query speech belongs according to the present query speech of a user, and user description information, wherein the language types include mandarin and at least one dialect; determining each speech error-correction model corresponding to each language type; performing speech analysis on the present query speech by using the determined speech error-correction models, and performing speech error-correction based on a result of the speech analysis.
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公开(公告)号：US12025443B2
公开(公告)日：2024-07-02
申请号：US17410878
申请日：2021-08-24
Inventor： Jizhou Huang , Deguo Xia , Haifeng Wang
CPC classification number: G01C11/06 , G01C21/3859 , G01C21/3885 , G06F16/23 , G06F18/214 , G06N3/08 , G06V20/182
Abstract: The present application discloses a method and apparatus for identifying an updated road, a device and a computer storage medium, and relates to the field of big data technologies. A specific implementation solution is as follows: comparing a road area extracted based on the latest satellite image with a road area extracted based on a historical satellite image, to obtain a candidate updated road; mapping the candidate updated road into road network data according to a coordinate position of the candidate updated road; acquiring a user trajectory set corresponding to the candidate updated road within a recent preset period; and identifying, based on a matching result between the user trajectory set and the road network data, whether the candidate updated road is an actual updated road. Updated roads can be more accurately identified through the method according to the present application.
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Patent Agency Ranking
公开(公告)号：US11977574B2
公开(公告)日：2024-05-07
申请号：US17754464
申请日：2021-07-20
Inventor： Jizhou Huang , Yibo Sun , Haifeng Wang
IPC: G06F16/387 , G06F40/295
CPC classification number: G06F16/387 , G06F40/295
Abstract: A method and apparatus for acquiring point of interest (POI) state information are suggested, which relate to a big data technology in the technical field of artificial intelligence. A specific implementation scheme involves: acquiring a text including POI information within a preset period from the Internet; and recognizing the text by using a pre-trained POI state recognition model, to obtain a two-tuple in the text, the two-tuple including a POI name and POI state information corresponding to the POI name. The POI state recognition model acquires a vector representation of each first semantic unit in the text, and acquires a vector representation of each second semantic unit in the text based on semantic dependency information of the text; fuses the vector representation of each first semantic unit and the vector representation of each second semantic unit to obtain a fusion vector representation of each first semantic unit; and predicts labels of the POI name and a POI state based on the fusion vector representation of each first semantic unit.
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公开(公告)号：US11157698B2
公开(公告)日：2021-10-26
申请号：US16176783
申请日：2018-10-31
Inventor： Jizhou Huang , Yaming Sun , Wei Zhang , Haifeng Wang
IPC: G06F40/00 , G06F40/295 , G06F16/951 , G06K9/00 , G06K9/62 , G06N7/00 , G06F40/30 , G06F40/268 , G06F40/242
Abstract: The present disclosure provides a method of training a descriptive text generating model, and a method and apparatus for generating a descriptive text, wherein the method of training a descriptive text generating model comprises: obtaining training data, the training data comprising: a notional word, a first descriptive text and a second descriptive text of the notional word, wherein the second descriptive text is a concise expression of the first descriptive text; regarding the notional word and the first descriptive text of the notional word as input of a seq2seq model, regarding the second descriptive text of the notional word as output of the seq2sequ model, and training the seq2seq model to obtain a descriptive text generating model. The descriptive text generating model according to the present disclosure can implement generation of a concise descriptive text with respect to the notional word in a deep understanding manner.
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公开(公告)号：US12204551B2
公开(公告)日：2025-01-21
申请号：US17249939
申请日：2021-03-19
Inventor： Ji Liu , Haoyi Xiong , Dejing Dou , Siyu Huang , Jizhou Huang , Zhi Feng , Haozhe An
IPC: G06F16/24 , G06F16/2458 , G06F21/53
Abstract: Embodiments of the present disclosure provide a data mining system, a data mining method, and a storage medium. The data mining system includes a transfer device, a first trusted execution space and a second trusted execution space. The transfer device is configured to receive a data calling request of the second trusted execution space, obtain data to be called from the first trusted execution space according to the data calling request, and provide the data to be called to the second trusted execution space, so as to perform data mining based on the data to be called and the mining-related data to obtain a data mining result and to provide the data mining result to a device of the data user.
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公开(公告)号：US12118992B2
公开(公告)日：2024-10-15
申请号：US17622402
申请日：2021-06-02
Inventor： Jizhou Huang , Shiqiang Ding
IPC: G10L15/22 , G06F16/9032 , G10L15/18 , G10L15/30
CPC classification number: G10L15/22 , G06F16/90332 , G10L15/1815 , G10L15/30 , G10L2015/223
Abstract: Technical solutions relate to the fields of artificial intelligence technologies and voice technologies. A technical solution includes: performing voice recognition and demand analysis on a voice instruction input by a user; in response to an unknown demand obtained by the demand analysis, acquiring information of a query entity and query content using a result of the demand analysis, and acquiring reply information corresponding to the query content by communication with the query entity; and returning a first voice response to the user using the reply information.
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公开(公告)号：US11348571B2
公开(公告)日：2022-05-31
申请号：US16810070
申请日：2020-03-05
Inventor： Shiqiang Ding , Jizhou Huang , Zhongwei Jiang , Wentao Ma
Abstract: The present disclosure provides methods, computing devices, and storage media for generating a training corpus. The method includes: mining out pieces of data from user behavior logs associated with a target application, each piece of data including a first behavior log and a second behavior log, the first behavior log including a user speech and a corresponding speech recognition result, the second behavior log belonging to the same user as the first behavior log and time-dependent with the first behavior log; and determining the user speech and the corresponding speech recognition result in each piece of data as a positive feedback sample or a negative feedback sample, based on the first behavior log and the second behavior log.
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