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公开(公告)号：US20220076314A1
公开(公告)日：2022-03-10
申请号：US17012420
申请日：2020-09-04
发明人： Chao Chen , Dong Sheng Li , Stephen My Chu , Jun Zhu
IPC分类号： G06Q30/06 , G06F16/901
摘要： Aspects of the invention include a computer-implemented method for generating product recommendations used a hypergraph. The computer-implemented method includes generating a product embedding vector for a product unpurchased by a consumer based on a hypergraph. Generating a consumer embedding vector for the consumer based on the hypergraph. An affinity between the consumer and a product unpurchased by the consumer is scored based on the product embedding vector and the consumer embedding vector. A digital description of the unpurchased product is retrieved based on the scoring. The digital description is presented to the consumer.
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公开(公告)号：US10832162B2
公开(公告)日：2020-11-10
申请号：US15259866
申请日：2016-09-08
发明人： Boliang Chen , Stephen Mingyu Chu , Jing Chang Huang , Dong Sheng Li , Junchi Yan , Weipeng Zhang
摘要： Techniques for model based data processing are proposed. In one example, a computer-implemented method is as follows. A first model is determined from a first category of data processing models and a second model is determined from a second category of data processing models. The second category can be different from the first category in some instances. Performance of a first combined model of the first and second models can be compared with performance of the first model. A target model for processing data can be selected from the first combined model and the first model based on the comparing.
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公开(公告)号：US20180129917A1
公开(公告)日：2018-05-10
申请号：US15348633
申请日：2016-11-10
发明人： Stephen Mingyu Chu , Peng Gao , Chang Sheng Li , Dong Sheng Li , Junchi Yan , Weipeng Zhang
CPC分类号： G06K9/00758 , G06N3/08
摘要： Techniques for neural network training are provided. One computer-implemented method comprises: obtaining, by an electronic device operatively coupled to a processing unit, based on a similarity between two images, a first image and a second image. The computer-implemented method also comprises training, by the electronic device, a neural network based on the first image and the second image such that a distance between a first vector and a second vector generated respectively from the first image and the second image in the trained neural network is associated with the similarity.
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4.发明授权公开(公告)号：US11636090B2
公开(公告)日：2023-04-25
申请号：US16819141
申请日：2020-03-15
发明人： Jia Qi Li , Fan Jing Meng , Pei Ni Liu , Zi Xiao Zhu , Matt Hogstrom , Dong Sheng Li
IPC分类号： G06F16/23 , G06F16/901
摘要： A computer-implemented method, system, and non-transitory machine readable medium for a graph-based analysis for an Information Technology (IT) operations includes generating a temporal graph by extracting one or more of operation objects, relations and attributes from operation data of workloads distributed across a plurality of levels of the IT operation within a predetermined time window. Anomalies are detected from the extracted operation data and annotating corresponding objects in the graph. A directional impact between corresponding objects on the temporal graph is determined, and the temporal graph is refined based on the determined directional impact. Accessible paths in the temporal graph indicating error propagation are searched, and potential causes for the detected anomalies in the temporal graph are identified. A list of the potential causes of the anomalies is generated, and a root cause ranked for each of the corresponding objects in the temporal graph.
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公开(公告)号：US11443226B2
公开(公告)日：2022-09-13
申请号：US15597242
申请日：2017-05-17
发明人： Stephen M. Chu , Min Gong , Guo Qiang Hu , Dong Sheng Li , Liang Wu , Jun Chi Yan
IPC分类号： G06N20/00
摘要： A computer-implemented method applies labels to unlabeled public data for use by a global model. One or more processors train one or more local machine learning models with local private data to create one or more trained models. Processor(s) generate a label for each of the local private data using the one or more trained models, where each label describes the local private data, and then apply the label to unlabeled public data to create labeled public data. One or more processors then input the labeled public data into a global model that uses the public data.
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公开(公告)号：US11334935B2
公开(公告)日：2022-05-17
申请号：US17012420
申请日：2020-09-04
发明人： Chao Chen , Dong Sheng Li , Stephen My Chu , Jun Zhu
IPC分类号： G06Q30/00 , G06Q30/06 , G06F16/901
摘要： Aspects of the invention include a computer-implemented method for generating product recommendations used a hypergraph. The computer-implemented method includes generating a product embedding vector for a product unpurchased by a consumer based on a hypergraph. Generating a consumer embedding vector for the consumer based on the hypergraph. An affinity between the consumer and a product unpurchased by the consumer is scored based on the product embedding vector and the consumer embedding vector. A digital description of the unpurchased product is retrieved based on the scoring. The digital description is presented to the consumer.
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公开(公告)号：US20180068224A1
公开(公告)日：2018-03-08
申请号：US15259866
申请日：2016-09-08
发明人： Boliang Chen , Stephen Mingyu Chu , Jing Chang Huang , Dong Sheng Li , Junchi Yan , Weipeng Zhang
CPC分类号： G06N20/00
摘要： Techniques for model based data processing are proposed. In one example, a computer-implemented method is as follows. A first model is determined from a first category of data processing models and a second model is determined from a second category of data processing models. The second category can be different from the first category in some instances. Performance of a first combined model of the first and second models can be compared with performance of the first model. A target model for processing data can be selected from the first combined model and the first model based on the comparing.
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8.发明申请公开(公告)号：US20210286798A1
公开(公告)日：2021-09-16
申请号：US16819141
申请日：2020-03-15
发明人： Jia Qi Li , Fan Jing Meng , Pei Ni Liu , Zi Xiao Zhu , Matt Hogstrom , Dong Sheng Li
IPC分类号： G06F16/23 , G06F16/901
摘要： A computer-implemented method, system, and non-transitory machine readable medium for a graph-based analysis for an Information Technology (IT) operations includes generating a temporal graph by extracting one or more of operation objects, relations and attributes from operation data of workloads distributed across a plurality of levels of the IT operation within a predetermined time window. Anomalies are detected from the extracted operation data and annotating corresponding objects in the graph. A directional impact between corresponding objects on the temporal graph is determined, and the temporal graph is refined based on the determined directional impact. Accessible paths in the temporal graph indicating error propagation are searched, and potential causes for the detected anomalies in the temporal graph are identified. A list of the potential causes of the anomalies is generated, and a root cause ranked for each of the corresponding objects in the temporal graph.
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公开(公告)号：US20180139054A1
公开(公告)日：2018-05-17
申请号：US15350324
申请日：2016-11-14
发明人： Stephen Mingyu Chu , Tobias Enders , Dong Sheng Li , Pankaj Srivastava , Junchi Yan , Tomomi Yoshioka
CPC分类号： H04L9/3247 , H04L9/008 , H04L9/14 , H04L9/30 , H04L63/06 , H04L63/061 , H04L63/0823 , H04L63/083 , H04L63/10 , H04W12/02 , H04W12/04 , H04W12/06
摘要： Techniques are provided for providing a local computation service on client device authorized by a remote service provider while keeping local data private from the remote service provider. In one example, a computer-implemented method comprises transmitting, by a device operatively coupled to a processor, a homomorphic encryption public key and homomorphically encrypted input data to a service provider. The computer-implemented method also comprises receiving, by the device from the service provider, a homomorphically encrypted signature generated based on the homomorphic encryption public key, the homomorphically encrypted input data, and a homomorphic encryption equivalent defined function. The computer-implemented method also comprises in response to a determination, based on a defined function corresponding to the homomorphic encryption equivalent defined function, that the homomorphically encrypted signature and input data corresponding to the homomorphically encrypted input data are valid for a computation service, performing, by the device, the computation service on the input data.
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公开(公告)号：US20180060976A1
公开(公告)日：2018-03-01
申请号：US15249564
申请日：2016-08-29
发明人： Stephen Mingyu Chu , Min Gong , Dong Sheng Li , Jun Chi Yan , Wei Peng Zhang
CPC分类号： G06Q50/06 , G06Q2220/00 , H04L9/085 , H04L2209/805 , Y04S40/24
摘要： Embodiments of the present disclosure provide method, system and computer program product for privacy preserving smart metering. According to one embodiment of the present disclosure, a plurality of customer-encrypted meter readings are received, each of the plurality of customer-encrypted meter readings being encrypted by a customer using a customer key, then a summation of customer keys is obtained, next the plurality of customer-encrypted meter readings are summed, and the summation of the plurality of customer-encrypted meter readings is decrypted based on the obtained summation of customer keys.
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