-
31.发明授权公开(公告)号：US12293300B2
公开(公告)日：2025-05-06
申请号：US17930221
申请日：2022-09-07
Inventor： Yingqi Qu , Yuchen Ding , Jing Liu , Hua Wu , Haifeng Wang
IPC: G06N5/01 , G06F16/2457 , G06F40/30
Abstract: The disclosure provides a method for training a semantic retrieval network, an electronic device and a storage medium. The method includes: obtaining a training sample including a search term and n candidate files corresponding to the search term, where n is an integer greater than 1; inputting the training sample into the ranking model, to obtain n first correlation degrees output by the ranking model, in which each first correlation degree represents a correlation between a candidate document and the search term; inputting the training sample into the semantic retrieval model, to obtain n second correlation degrees output by the semantic retrieval model, wherein each second correlation degree represents a correlation between a candidate document and the search term; and training the semantic retrieval model and the ranking model jointly based on the n first correlation degrees and the n second correlation degrees.
-
32.发明授权公开(公告)号：US12272002B2
公开(公告)日：2025-04-08
申请号：US18082997
申请日：2022-12-16
Inventor： Jie Li , Haojie Liu , Yan Zhang , Xuecen Shen , Ruizhi Chen , Chen Zhao , Yuqiao Teng , Errui Ding , Tian Wu , Haifeng Wang
Abstract: A method and apparatus for generating a virtual character, an electronic device and a computer readable storage medium are provided. The method includes: performing mesh simplification on an initial model of a virtual character to obtain a mesh-simplified model; obtaining a first target model by performing white model mapping rendering on an area of each material type on the mesh-simplified model, and obtaining a second target model by performing hyper-realistic rendering on the area of each material type on the mesh-simplified model; and establishing a bidirectional mapping between the first target model and the second target model, and obtaining a target virtual character through iterative updating of the bidirectional mapping.
-
公开(公告)号：US12265842B2
公开(公告)日：2025-04-01
申请号：US18817035
申请日：2024-08-27
Abstract: A method for processing information is provided. The method includes obtaining input information to be processed. The method further includes determining execution information associated with processing of the input information. The execution information includes at least one of memory information to be retrieved or tool information to be invoked. The method further includes obtaining, by using the execution information, at least one piece of processing result information corresponding to the processing of the input information. The method further includes the at least one piece of processing result information to generate output information for feedback.
-
34.发明申请公开(公告)号：US20250103959A1
公开(公告)日：2025-03-27
申请号：US18885339
申请日：2024-09-13
Inventor： Liang Shen , Dianhai Yu , Weibao Gong , Jinle Zeng , Haifeng Wang
IPC: G06N20/00
Abstract: Provided is a performance optimization method for a model training device, an electronic device, and a storage medium, relating to the fields of deep learning, large model training, and distributed parallel strategies. The method includes: determining communication timing of a current model training device with respect to a target model block at a target sorting position, so as to be able to perform synchronously collective communication with other model training devices of a plurality of model training devices with respect to model blocks at the target sorting position; and performing the collective communication on a backward gradient of the target model block at the communication timing.
-
公开(公告)号：US12205025B2
公开(公告)日：2025-01-21
申请号：US17211146
申请日：2021-03-24
Inventor： Haifeng Wang , Xiaoguang Hu , Dianhai Yu
Abstract: The present application discloses a processor video memory optimization method and apparatus for deep learning training tasks, and relates to the technical field of artificial intelligence. In the method, by determining an optimal path for transferring a computing result, the computing result of a first computing unit is transferred to a second computing unit by using the optimal path. Thus, occupying the video memory is avoided, and meanwhile, a problem of low utilization rate of the computing unit of a GPU caused by video memory swaps is avoided, so that training speed of most tasks is hardly reduced.
-
Patent Agency Ranking
公开(公告)号：US11887376B2
公开(公告)日：2024-01-30
申请号：US17517702
申请日：2021-11-03
Inventor： Jizhou Huang , Hui Zhao , Deguo Xia , Haifeng Wang
IPC: G06V30/00 , G06V20/56 , G06V20/40 , G06V10/40 , G06V30/262 , G06V20/10 , B60R16/023 , G06F18/24 , G06F18/214
CPC classification number: G06V20/56 , B60R16/0231 , G06F18/214 , G06F18/24 , G06V10/40 , G06V20/176 , G06V20/41 , G06V20/46 , G06V30/274
Abstract: The present disclosure provides a method and apparatus of estimating a road condition, and a method and apparatus of establishing a road condition estimation model, which relates to a field of big data and intelligent traffic. The method includes: acquiring, for a first preset duration before a first moment, a sequence of user tracks for a road and a sequence of road images for the road; extracting a track-related feature of the road from the sequence of the user tracks, and extracting an image-related feature of the road from the sequence of the road images; and inputting the track-related feature of the road and the image-related feature of the road into a pre-trained road condition estimation model, so as to determine, for a second preset duration after the first moment, a road condition information of the road by using an estimated result of the road condition estimation model.
-
公开(公告)号：US20230368523A1
公开(公告)日：2023-11-16
申请号：US18152119
申请日：2023-01-09
Inventor： Xiaoqing Ye , Deguo Xia , Jizhou Huang , Haifeng Wang
CPC classification number: G06V20/182 , G06V10/7715 , G06V20/13 , G06V10/25 , G01C21/3852 , G01C21/3819 , G06V10/42
Abstract: Provided are a road network extraction method, a device, and a storage medium, which relate to the technical field of artificial intelligence and, in particular, to the fields of image processing, computer vision, and the like and are specifically applicable to scenarios such as intelligent transportation and a smart city. A specific implementation scheme includes: extracting a first road network of a target region according to user trajectories of the target region; extracting a second road network of the target region according to a satellite aerial image of the target region; and extract a target road network of the target region according to the first road network, the second road network, and the user trajectories. Efficient and accurate road network extraction can be achieved through techniques in embodiments of the present disclosure.
-
公开(公告)号：US20230186024A1
公开(公告)日：2023-06-15
申请号：US17874394
申请日：2022-07-27
Inventor： Zeyu Chen , Haifeng Wang , Tian Wu , Dianhai Yu , Yanjun Ma , Xiaoguang Hu
IPC: G06F40/284 , G06F40/47
CPC classification number: G06F40/284 , G06F40/47
Abstract: Provided are a text processing method, a device and a storage medium, relating to a field of computer technology, and especially to a field of artificial intelligence, such as natural language processing and deep learning. The specific implementation scheme includes: performing text processing on first text, by using a text processing acceleration operator; and processing, in parallel and faster, content after the text processing, by using the text processing acceleration operator. Text processing and parallel acceleration are carried out by the text processing acceleration operator, which can improve the speed of text processing.
-
39.发明授权公开(公告)号：US11604774B2
公开(公告)日：2023-03-14
申请号：US17480294
申请日：2021-09-21
Inventor： Liujie Zhang , Yamei Li , Huihuang Zheng , Hongyu Liu , Xiang Lan , Dianhai Yu , Yanjun Ma , Tian Wu , Haifeng Wang
Abstract: A method and apparatus of converting a schema in a deep learning framework, an electronic device, and a computer storage medium are provided. The method of converting the schema in the deep learning framework includes: updating a first schema, based on first syntax elements in the first schema and a context relationship between the first syntax elements in the first schema, so as to obtain an updated first schema; generating second syntax elements corresponding to updated first syntax elements in the updated first schema, based on a mapping relationship between the updated first syntax elements in the updated first schema and second syntax elements in a second schema system; and combining the second syntax elements according to a context relationship between the updated first syntax elements, so as to generate a second schema.
-
公开(公告)号：US20230058949A1
公开(公告)日：2023-02-23
申请号：US17657114
申请日：2022-03-29
Inventor： Jizhou Huang , Shaolei Wang , Haifeng Wang
IPC: G10L13/047 , G10L15/22 , G10L15/06
Abstract: The present disclosure discloses an intelligent voice interaction method and apparatus, a device and a computer storage medium, and relates to voice, big data and deep learning technologies in the field of artificial intelligence technologies. A specific implementation solution involves: acquiring first conversational voice entered by a user; and inputting the first conversational voice into a voice interaction model, to acquire second conversational voice generated by the voice interaction model for the first conversational voice for return to the user; wherein the voice interaction model includes: a voice encoding submodel configured to encode the first conversational voice and historical conversational voice of a current session, to obtain voice state Embedding; a state memory network configured to obtain Embedding of at least one preset attribute by using the voice state Embedding; and a voice generation submodel configured to generate the second conversational voice by using the voice state Embedding and the Embedding of the at least one preset attribute. The at least one preset attribute is preset according to information of a verified object. Intelligent data verification is realized according to the present disclosure.
-
-
-
-
-
-
-
-
-
Search Results
42
records
(took 0.026 seconds)
