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公开(公告)号：US11907099B2
公开(公告)日：2024-02-20
申请号：US16948520
申请日：2020-09-22
发明人： Yao Dong Liu , Jing James Xu , Jiang Bo Kang , Dong Hai Yu , Jun Wang
CPC分类号： G06F11/3612 , G06F11/3688 , G06F11/3419
摘要： Embodiments of the present invention disclose a method, computer program product, and system for estimating the results of a performance test on an updated software application. A method, the method comprising receiving an updated software application, wherein the size of the updated software application is a first size and generating a plurality of small probe, wherein the size of each of the small probe data is a second size, wherein the second size is less than the first size. Conducting a first performance test on the plurality of small probe data and calculating an estimated elapsed time for a performance test on the updated software application. Conducting the performance test on the updated software application and determining if the updated software is given a PASS or FAIL for the performance test, based in part on the elapsed time of the performance test on the updated software application.
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公开(公告)号：US11748436B2
公开(公告)日：2023-09-05
申请号：US17483714
申请日：2021-09-23
发明人： Jun Wang , Xue Ying Zhang , Song Bo , Dong Hai Yu , Jing James Xu
IPC分类号： G06F16/957 , G06F16/955 , G06F16/9535
CPC分类号： G06F16/9574 , G06F16/955 , G06F16/9535
摘要： In an approach for detecting web browsing subject-oriented event interactions and intelligently organizing web pages based on insights from important interactions for better exploration and efficient management, a processor extracts time series data associated with a plurality of web browsing events based on browsing historical actions of a user. A processor identifies the subject of each web browsing event. A processor determines major events based on the time series data and subjects of the plurality of web browsing events. A processor organizes the plurality of web browsing events based on subject hierarchy and timeline from the time series data. A processor highlights one or more uniform resource locators based on the subject hierarchy and timeline.
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公开(公告)号：US20230214088A1
公开(公告)日：2023-07-06
申请号：US17569689
申请日：2022-01-06
IPC分类号： G06F3/0482
CPC分类号： G06F3/0482
摘要： Using a set of menu to key process mappings, historical menu usage data for an application is aggregated into aggregated key process usage data. A set of key process association rules, each comprising a consequent key process given a particular antecedent key process, is generated. From the set of key process association rules and a set of ranked menus by frequency of usage within each key process, a set of model menu recommendations is generated. According to an application usage history, a menu frequency ratio, and a confidence value of a modelled next menu, the set of menu recommendations is scored. A scored menu recommendation having a rank below a threshold rank is pruned from a set of menu items of the application ranked according to their scores. The pruned set of scored menu recommendations is presented for selection instead of the set of menu items.
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公开(公告)号：US11695646B1
公开(公告)日：2023-07-04
申请号：US17656509
申请日：2022-03-25
发明人： Hui Lin , Jun Yang , Jing James Xu , Yue Wang
摘要： Deep reinforcement learning is applied to self-orchestration in edge device computing for offloading within a spatial network community to reduce latency and bandwidth issues. A revised online policy gradient training algorithm based on importance sampling in addition to the use of DRL-based offloading provides for continued use of original sample training data. A request for help scheme supports edge-device cooperation among neighboring devices of the spatial network community by sharing edge device state information (EDSI) for governing task assignments.
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公开(公告)号：US20220326982A1
公开(公告)日：2022-10-13
申请号：US17225427
申请日：2021-04-08
发明人： A Peng Zhang , Lei Gao , Jin Wang , Jing James Xu , Jun Wang , Dong Hai Yu
摘要： Mechanisms are provided for intelligently identifying an execution environment to execute a computing job. An execution time of the computing job in each execution environment of a plurality of execution environments is predicted by applying a set of existing machine learning models matching execution context information and key parameters of the computing job and execution environment information of the execution environment. The predicted execution time of the machine learning models is aggregated. The aggregated predicted execution times of the computing job are summarized for the plurality of execution environments. Responsive to a selection of an execution environment from the plurality of execution environments based on the summary of the aggregated predicted execution times of the computing job, the computing job is executed in the selected execution environment. Related data during the execution of the computing job in the selected execution environment is collected.
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公开(公告)号：US10949764B2
公开(公告)日：2021-03-16
申请号：US15692963
申请日：2017-08-31
发明人： Yi Shao , Liang Wang , Jing Xu , Jing James Xu
摘要： According to an embodiment, a method, computer system, and computer program product for managing data is provided. The present invention may include accumulating a plurality of predicted outputs according to a data accumulation rule. The plurality of predicted outputs is generated by a predictive model executed by a first system. The present invention may include evaluating, by a second system, an accuracy of the predictive model. Evaluating the accuracy of the predictive model may include determining a degree of difference between the plurality of predicted outputs and information generated during a development stage of the predictive model. The present invention may include determining whether the accuracy of the predictive model has declined by an amount which exceeds a pre-determined threshold. The present invention may include updating the predictive model.
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公开(公告)号：US20240256637A1
公开(公告)日：2024-08-01
申请号：US18160332
申请日：2023-01-27
发明人： Si Er Han , Xue Ying Zhang , Jing Xu , Jing James Xu , Xiao Ming Ma , Wen Pei Yu , Jun Wang , Ji Hui Yang
IPC分类号： G06F18/2321 , G06F18/241
CPC分类号： G06F18/2321 , G06F16/285 , G06F18/241
摘要： A computer implemented method manages an ensemble model system to classify records. A number of processor units cluster records into groups of records based on classification predictions generated by base models in the ensemble model system for the records. The number of processor units determines sets of weights for the base models that increase a probability that the base models in the ensemble model system correctly predict the groups of records. Each set of weights in the sets of weights is associated with a group of records in the groups of records.
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公开(公告)号：US20240054211A1
公开(公告)日：2024-02-15
申请号：US17884923
申请日：2022-08-10
发明人： Jing Xu , Xue Ying Zhang , Si Er Han , Jing James Xu , Xiao Ming Ma , Wen Pei Yu
CPC分类号： G06F21/552 , G06N20/10 , G06F2221/034
摘要： Detecting anomalous data by applying a plurality of models to a data set to yield detection results including anomalous data, applying evaluation methods to the detection results for each of the plurality of models, determining a combined score for the detection results according to the evaluation methods, determining a combined score threshold, and defining a set of detected anomalies according to the combined score and the combined score threshold.
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公开(公告)号：US20240012746A1
公开(公告)日：2024-01-11
申请号：US17811198
申请日：2022-07-07
发明人： Lei Gao , Jin Wang , A PENG ZHANG , Kai Li , Jun Wang , Jing James Xu , Rui Wang , Xin Feng Zhu
IPC分类号： G06F11/36
CPC分类号： G06F11/3692 , G06F11/3688
摘要： Embodiments of the present disclosure relate to a method, system and computer program product for semantic search based on a graph database. In some embodiments, a method is disclosed. According to the method, the user jobs of a user are obtained from a first software product. Based on the user jobs, target test cases are selected from a plurality of test cases associated with the first software product and a second software product. The target test cases are applied to the first software product and the second software product, and in accordance with a determination that a result of applying the target test cases satisfies a predetermined criterion, an instruction is provided to indicate migrating from the first software product to the second software product. In other embodiments, a system and a computer program product are disclosed.
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公开(公告)号：US20230367689A1
公开(公告)日：2023-11-16
申请号：US17744690
申请日：2022-05-15
发明人： Jing Xu , Xue Ying Zhang , Si Er Han , Jing James Xu , Xiao Ming Ma , Jun Wang , Wen Pei Yu
CPC分类号： G06F11/3447 , G06K9/6218
摘要： Disclosed are a computer-implemented method, a system and a computer program product for model exploration. Model feature importance of each model of a plurality of models can be obtained, the plurality of models can be grouped into a plurality of model clusters based on the model feature importance of each model, and the model feature importance can be presented by box-plot or confidence interval.
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