-
公开(公告)号：US11983207B2
公开(公告)日：2024-05-14
申请号：US17146558
申请日：2021-01-12
发明人： Zijia Wang , Jiacheng Ni , Zhen Jia , Bo Wei , Chun Xi Chen
CPC分类号： G06F16/3346 , G06F16/3344 , G06F16/353 , G06N5/04 , G06N20/00
摘要： Embodiments of the present disclosure provide a method, an electronic device, and a computer program product for information processing. In an information processing method, based on multiple weights corresponding to multiple words in text, a computing device determines a target object associated with the text among predetermined multiple objects, and also determines, among the multiple words, a set of key words with respect to the determination of the target object. Next, the computing device determines, among the set of key words, a set of target words related to a text topic of the text. Then, the computing device outputs the set of target words and an identifier of the target object in an associated manner. In this way, the credibility of the target object associated with the text that is determined by the information processing method is improved, thereby improving the user experience of the information processing method.
-
公开(公告)号：US20230128346A1
公开(公告)日：2023-04-27
申请号：US17526621
申请日：2021-11-15
发明人： Jiacheng Ni , Zijia Wang , Zhen Jia
摘要： Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for task processing. The method includes: processing, in response to receiving a target task, the target task by a first device using a deployed first model; acquiring a first result determined by the first model, the first result having a first confidence; processing, in response to determining that the first confidence is lower than a first threshold, the target task by a second device using a deployed second model; and acquiring a second result determined by the second model, the first model being constructed by compressing the second model. In this way, the accuracy of task processing can be ensured.
-
3.发明申请公开(公告)号：US20230125932A1
公开(公告)日：2023-04-27
申请号：US17545258
申请日：2021-12-08
发明人： Jiacheng Ni , Min Gong , GuangZhou Zhou , Zijia Wang , Zhen Jia
摘要： Embodiments of the present disclosure include a method, an electronic device, and a computer program product for training a failure analysis model. In a method for training a failure analysis model in an illustrative embodiment, at least one set of log files including multiple preprocessed log files is obtained, the at least one set of log files including a marked failure cause of a storage system, and preprocessed log files in the multiple preprocessed log files including one or more potential failure causes of the storage system and scores associated with the potential failure causes; a failure cause of the storage system is predicted according to a failure analysis model and based on the potential failure causes and the scores in the multiple preprocessed log files; and parameters of the failure analysis model are updated based on a probability that the predicted failure cause is the marked failure cause.
-
公开(公告)号：US20230041338A1
公开(公告)日：2023-02-09
申请号：US17406283
申请日：2021-08-19
发明人： Wenbin Yang , Zijia Wang , Jiacheng Ni , Zhen Jia
IPC分类号： G06F16/28 , G06F16/901 , G06N3/04
摘要： A method for graph data processing comprises obtaining graph data which includes a plurality of nodes and data corresponding to the plurality of nodes respectively; classifying the plurality of nodes into at least one category of a plurality of categories, wherein the plurality of categories are associated with a plurality of node relationship patterns; determining, from a plurality of candidate parameter value sets of a graph convolutional network (GCN) model, parameter value subsets respectively matching at least one category, wherein the plurality of candidate parameter value sets are determined by training the GCN model respectively for the plurality of node relationship patterns; and using the parameter value subsets respectively matching the at least one category to respectively perform a graph convolution operation in the GCN model on data corresponding to the nodes classified into the at least one category to obtain a processing result for the graph data.
-
公开(公告)号：US20220335307A1
公开(公告)日：2022-10-20
申请号：US17230433
申请日：2021-04-14
发明人： Zijia Wang , Victor Fong , Zhen Jia , Jiacheng Ni
IPC分类号： G06N5/02 , G06N20/00 , G06F16/903 , G06F40/30
摘要： Techniques for constructing and otherwise managing knowledge graphs in information processing system environments are disclosed. For example, a method comprises the following steps. The method collects data from a plurality of data sources. The method extracts structured data and unstructured data from the collected data, wherein unstructured data is extracted using an unsupervised machine learning process. The method forms a plurality of sub-graph structures comprising a sub-graph structure for each of the data sources based on at least a portion of the extracted structured data and unstructured data. The method combines the plurality of sub-graph structures to form a combined graph structure representing the collected data from the plurality of data sources. The resulting combined graph structure is a comprehensive knowledge graph.
-
公开(公告)号：US20220239750A1
公开(公告)日：2022-07-28
申请号：US17185033
申请日：2021-02-25
发明人： Jiacheng Ni , Min Gong , Zijia Wang , Zhen Jia , Bin He
摘要： The present disclosure relates to a method, a device, and a program product for managing a computer system. One method includes: receiving a service request for the computer system, the service request describing an operation state of the computer system; respectively determining similarities between the service request and multiple historical service requests performed for the computer system, the multiple historical service requests respectively describing multiple historical operation states of the computer system; and determining, in response to determining that a similarity between the service request and a historical service request among the multiple historical service requests satisfies a predetermined similarity condition, a solution for processing the service request based on a pairing of the service request with the historical service request and a historical solution for processing the historical service request. Further, a corresponding device and a corresponding program product are provided.
-
公开(公告)号：US12106228B2
公开(公告)日：2024-10-01
申请号：US17323142
申请日：2021-05-18
发明人： Zijia Wang , Zhen Jia , Jiacheng Ni
IPC分类号： G06N5/022 , G06F16/901 , G06F16/9032 , G06F18/2413
CPC分类号： G06N5/022 , G06F16/9024 , G06F16/90328 , G06F18/2413
摘要： Embodiments of the present disclosure relate to an article processing method, electronic device, and computer program product. The method includes: determining, based on content of a target article, a target article vector associated with the target article; acquiring a reference article vector set associated with a reference article set; and determining, based on a distance in an article vector space between the target article vector and a reference article vector in the reference article vector set, a reference article vector associated with the target article vector in the reference article vector set as an association article vector. By using the technical solution of the present disclosure, an association article associated with a target article can be accurately provided based on the target article selected by a user, so that reports on the target article and its association articles can be further provided to the user for analysis and selection.
-
公开(公告)号：US12020125B2
公开(公告)日：2024-06-25
申请号：US17191299
申请日：2021-03-03
发明人： Zijia Wang , Chenxi Hu , Jiacheng Ni , Zhen Jia
IPC分类号： G06N20/00 , G06F9/455 , H04L29/08 , H04L67/568
CPC分类号： G06N20/00 , G06F9/455 , H04L67/568
摘要： Embodiments of the present disclosure provide a method, an electronic device, and a computer program product for information processing. In an information processing method, a first network state representation and a first content request event of an emulated network are provided from an emulator to an agent for reinforcement learning, wherein the first content request event indicates that a request node in the emulated network requests target content stored in a source node. The emulator receives first action information from the agent, wherein the first action information indicates a first caching action determined by the agent, the first caching action including caching the target content in at least one caching node between the request node and the source node. The emulator collects, based on the execution of the first caching action in the emulated network, first training data for training the agent.
-
公开(公告)号：US20230128271A1
公开(公告)日：2023-04-27
申请号：US17528942
申请日：2021-11-17
发明人： Jinpeng Liu , Bin He , Zijia Wang , Zhen Jia
摘要： Implementations of the present disclosure relate to a method, an electronic device, and a computer program product for managing an inference process. Here, the inference process is implemented based on a machine learning model. A method includes: determining, based on a computational graph defining the machine learning model, dependency relationships between a set of functions for implementing the inference process; acquiring, in at least one edge device located in an edge computing network, a set of computing units available to execute the inference process; selecting at least one computing unit for executing the set of functions from the set of computing units; and causing the at least one computing unit to execute the set of functions based on the dependency relationships. With example implementations of the present disclosure, the inference process is implemented by making use of a variety of computing units in the edge computing network, thereby improving performance.
-
公开(公告)号：US20230026938A1
公开(公告)日：2023-01-26
申请号：US17404011
申请日：2021-08-17
发明人： Zijia Wang , Jiacheng Ni , Wenbin Yang , Zhen Jia
IPC分类号： G06K9/62
摘要： A method in an illustrative embodiment includes determining a first set of distilled samples from a first set of samples based on a characteristic distribution of the first set of samples, the first set of samples being associated with a first set of classifications. The method also includes acquiring a first set of characteristic representations associated with the first set of distilled samples. The method also includes adjusting the first set of characteristic representations so that a distance between characteristic representations associated with the same classification is less than a predetermined threshold. The method also includes determining, based on the adjusted first set of characteristic representations, a first set of classification characteristics of the first set of samples and associated with the first set of classifications, the classification characteristics being used to characterize a distribution of characteristic representations of samples having corresponding classifications in the first set of samples.
-
-
-
-
-
-
-
-
-
搜索结果
39 条记录 (耗时 0.023 秒)
