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公开(公告)号：US20220391774A1
公开(公告)日：2022-12-08
申请号：US17887951
申请日：2022-08-15
Inventor： Feng XING , Xiang LAN , Liling NIU , Xiandong LIU , Yanjun MA , Dianhai YU , Haifeng WANG
Abstract: A method and apparatus for generating an operator are provided. The method includes: constructing a group of basic application programming interfaces for providing one of the following basic functions: an access function, a storage function, and a computing function; constructing a kernel application programming interface for invoking the basic application programming interfaces to implement an operator logic; and generating a target kernel operator based on the group of basic application programming interfaces and the kernel application programming interface.
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公开(公告)号：US20220058490A1
公开(公告)日：2022-02-24
申请号：US17519815
申请日：2021-11-05
Inventor： Haifeng WANG , Xiaoguang HU , Hongyu LIU , Dianhai YU , Yanjun MA , Tian WU
Abstract: A method and apparatus of constructing a network model for deep learning, a device, and a storage medium, which relate to artificial intelligence, and in particular to a field of deep learning. The method of constructing the network model for deep learning includes: determining an execution mode for executing codes, based on a mode parameter; executing the codes by using a first component, which is executable in a first execution mode, through a syntax element in the codes, in response to determining that the execution mode is the first execution mode; and executing the codes by using a second component, which is executable in a second execution mode, through the syntax element, in response to determining that the execution mode is the second execution mode; wherein the first component and the second component have the same component interface, and the syntax element corresponds to the component interface.
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公开(公告)号：US20220058222A1
公开(公告)日：2022-02-24
申请号：US17517703
申请日：2021-11-03
Inventor： Mo CHENG , Dianhai YU , Lin MA , Zhihua WU , Daxiang DONG , Wei TANG
IPC: G06F16/901 , G06F16/28 , G06N5/02
Abstract: The present disclosure provides a method of processing information, an apparatus of processing information, a method of recommending information, an electronic device, and a storage medium. The method includes: obtaining a tree structure parameter of a tree structure, wherein the tree structure is configured to index an object set used for recommendation; obtaining a classifier parameter of a classifier, wherein the classifier is configured to sequentially predict, from a top layer of the tree structure to a bottom layer of the tree structure, a preference node set whose probability of being preferred by a user is ranked higher in each layer, and a preference node set of each layer subsequent to the top layer of the tree structure is determined based on a preference node set of a previous layer of the each layer; and constructing a recalling model based on the tree structure parameter and the classifier parameter.
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公开(公告)号：US20250005446A1
公开(公告)日：2025-01-02
申请号：US18547090
申请日：2022-11-02
Inventor： Weihang CHEN , Haifeng WANG , Yunfei ZHANG , Risheng YUAN , Tianyu CHEN , Hongyu LIU , Xiaoguang HU , Dianhai YU , Yanjun MA
IPC: G06N20/00
Abstract: An operator processing method of a deep learning framework an electronic device, and a storage medium are provided, which relate to a field of computer technology, especially in a field of artificial intelligence technology such as deep learning. The specific implementation scheme includes: acquiring an operator to be processed, where the operator to be processed includes a template parameter independent of the deep learning framework and an operator kernel function; parsing, in response to receiving an input information for the operator to be processed, the template parameter by using the input information to obtain a plurality of complete template parameters related to the deep learning framework; and processing the operator kernel function according to the plurality of complete template parameters, to obtain an available operator for the deep learning framework.
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公开(公告)号：US20230186599A1
公开(公告)日：2023-06-15
申请号：US18078635
申请日：2022-12-09
Inventor： Ruoyu GUO , Yuning DU , Shengyu WEI , Shuilong DONG , Qiwen LIU , Qiao ZHAO , Ran BI , Xiaoguang HU , Dianhai YU , Yanjun MA
CPC classification number: G06V10/761 , G06V10/751
Abstract: Provided are an image processing method and apparatus, a device, a medium and a program product. The image processing method includes: performing image augmentation on an original image to obtain at least one augmented image; performing subject detection on the original image and the at least one augmented image to obtain an original detection frame in the original image and an augmented detection frame in the at least one augmented image; determining whether the original detection frame and the augmented detection frame belong to the same subject; and in response to the original detection frame and the augmented detection frame belonging to the same subject, determining a target subject frame in the original image according to the augmented detection frame.
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Patent Agency Ranking
公开(公告)号：US20220343662A1
公开(公告)日：2022-10-27
申请号：US17861741
申请日：2022-07-11
Inventor： Yuning DU , Yehua YANG , Chenxia LI , Qiwen LIU , Xiaoguang HU , Dianhai YU , Yanjun MA , Ran BI
Abstract: The present disclosure provides a method and apparatus for recognizing a text, a device and a storage medium, and relates to the field of deep learning technology. A specific implementation comprises: receiving a target image; performing a text detection on the target image using a pre-trained lightweight text detection network, to obtain a text detection box; and recognizing a text in the text detection box using a pre-trained lightweight text recognition network, to obtain a text recognition result.
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公开(公告)号：US20220247626A1
公开(公告)日：2022-08-04
申请号：US17718149
申请日：2022-04-11
Inventor： Cheng CUI , Tingquan GAO , Shengyu WEI , Yuning DU , Ruoyu GUO , Bin LU , Ying ZHOU , Xueying LYU , Qiwen LIU , Xiaoguang HU , Dianhai YU , Yanjun MA
IPC: H04L41/0806 , H04L41/084 , H04L41/0894 , G06K9/62
Abstract: The present disclosure provides a method for generating a backbone network, an apparatus for generating a backbone network, a device, and a storage medium. The method includes: acquiring a set of a training image, a set of an inference image, and a set of an initial backbone network; training and inferring, for each initial backbone network in the set of the initial backbone network, the initial backbone network by using the set of the training image and the set of the inference image, to obtain an inference time and an inference accuracy of a trained backbone network in an inference process; determining a basic backbone network based on the inference time and the inference accuracy of the trained backbone network in the inference process; and obtaining a target backbone network based on the basic backbone network and a preset target network.
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18.发明申请公开(公告)号：US20220129731A1
公开(公告)日：2022-04-28
申请号：US17568296
申请日：2022-01-04
Inventor： Ruoyu GUO , Yuning DU , Chenxia LI , Tingquan GAO , Qiao ZHAO , Qiwen LIU , Ran BI , Xiaoguang Hu , Dianhai YU , Yanjun MA
Abstract: The present disclosure provides a method and apparatus for training an image recognition model, and a method and apparatus for recognizing an image, and relates to the field of artificial intelligence, and particularly to the fields of deep learning and computer vision. A specific implementation comprises: acquiring a tagged sample set, an untagged sample set and a knowledge distillation network; and performing following training steps: selecting an input sample from the tagged sample set and the untagged sample set, and accumulating a number of iterations; inputting respectively the input sample into a student network and a teacher network of the knowledge distillation network to train the student network and the teacher network; and selecting an image recognition model from the student network and the teacher network, if a training completion condition is satisfied.
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公开(公告)号：US20210209471A1
公开(公告)日：2021-07-08
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.
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公开(公告)号：US20250094139A1
公开(公告)日：2025-03-20
申请号：US18965152
申请日：2024-12-02
Inventor： Dianhai YU , Wei ZHOU , Xiang GAO , Tiezhu GAO
Abstract: A method of generating a code based on a large model, an electronic device and a storage medium are provided, which relate to the field of artificial intelligence technology, in particular to the fields of deep learning technology and large model technology. The method includes: acquiring a first descriptive text input by a user, where the first descriptive text is configured to characterize a code requirement; searching for a positive code and a negative code matching the first descriptive text, where each of the positive code and the negative code is determined based on a preference operation of the user for a historical code output by the large model; generating a second descriptive text according to the first descriptive text, the positive code, and the negative code; and inputting the second descriptive text into the large model to output a target code matching the code requirement.
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