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公开(公告)号：US20190250690A1
公开(公告)日：2019-08-15
申请号：US15892633
申请日：2018-02-09
Applicant: Futurewei Technologies, Inc.
Inventor： Jun Wang , Xiaocun Que , Jiangsheng Yu , Hui Zang , Handong Ye
IPC: G06F1/32
CPC classification number: G06F1/324 , G06F1/3206
Abstract: A computer implemented method of controlling energy consumption of a battery powered device includes determining, by the device, a state of the device responsive to the device playing a video wherein the state of the device is based on a CPU utilization rate of a CPU of the device, selecting, by the device, a policy of a plurality of different policies based on the determined state, wherein each policy comprises a respective CPU frequency setting and a respective memory bandwidth setting, and applying the CPU frequency setting of the selected policy to the CPU and the memory bandwidth setting of the selected policy to a speed setting of a memory bus of the device.
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公开(公告)号：US20180314975A1
公开(公告)日：2018-11-01
申请号：US15499660
申请日：2017-04-27
Applicant: Futurewei Technologies, Inc.
Inventor： Hui Zang , Zonghuan Wu , Jiangsheng Yu
IPC: G06N99/00
Abstract: An apparatus and method are provided for ensemble transfer learning. One or more first (machine learning) projects that are similar to a second (machine learning) project are identified by comparing metadata of the one or more first projects and the second project, where the metadata comprises a plurality of characteristics and the characteristics of the first projects are compared to the characteristic of the second project to identify the one or more first projects. One or more (machine learning) models associated with the one or more first projects are selected as a plurality of models that each share a common feature set with the second project. Each model in the plurality of models is applied to input data for the second project to generate a set of results. Output data corresponding to the input data is produced for the second project based on the set of results.
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公开(公告)号：US20170371936A1
公开(公告)日：2017-12-28
申请号：US15193527
申请日：2016-06-27
Applicant: Futurewei Technologies, Inc.
Inventor： Jiangsheng Yu , Hui Zang
CPC classification number: G06F17/30554 , G06F17/18
Abstract: A method includes obtaining via a programmed computer, a first set of n random samples and a second set of n+k random samples from a base set of samples where k is a lag, iteratively adding more random samples to the first and second sets from the base set via the programmed computer, obtaining a distance between the first and second sets of random samples by calculating via the programmed computer, an empirical cumulative distribution function (ECDF) for the first and second sets in each iteration until the distance between the ECDFs is below a threshold, and constructing a stable empirical distribution representation via the programmed computer using a number of samples that is a function of the first and second sets whose distance is below the threshold.
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公开(公告)号：US11138514B2
公开(公告)日：2021-10-05
申请号：US15467847
申请日：2017-03-23
Applicant: Futurewei Technologies, Inc.
IPC: G06N20/00
Abstract: An apparatus and method are provided for review-based machine learning. Included are a non-transitory memory storing instructions and one or more processors in communication with the non-transitory memory. The one or more processors execute the instructions to receive first data, generate a plurality of first features based on the first data, and identify a first set of labels for the first data. A first model is trained using the first features and the first set of labels. The first model is reviewed to generate a second model, by receiving a second set of labels for the first data, and reusing the first features with the second set of labels in connection with training the second model.
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公开(公告)号：US10296628B2
公开(公告)日：2019-05-21
申请号：US15193527
申请日：2016-06-27
Applicant: Futurewei Technologies, Inc.
Inventor： Jiangsheng Yu , Hui Zang
Abstract: A method includes obtaining via a programmed computer, a first set of n random samples and a second set of n+k random samples from a base set of samples where k is a lag, iteratively adding more random samples to the first and second sets from the base set via the programmed computer, obtaining a distance between the first and second sets of random samples by calculating via the programmed computer, an empirical cumulative distribution function (ECDF) for the first and second sets in each iteration until the distance between the ECDFs is below a threshold, and constructing a stable empirical distribution representation via the programmed computer using a number of samples that is a function of the first and second sets whose distance is below the threshold.
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Patent Agency Ranking
公开(公告)号：US20180255137A1
公开(公告)日：2018-09-06
申请号：US15448444
申请日：2017-03-02
Applicant: Futurewei Technologies, Inc.
CPC classification number: H04L67/1097 , H04L63/083 , H04L63/102 , H04L67/30 , H04L69/321
Abstract: A mobile device, computer readable medium, and method are provided for allocating resources within a cloud. The method includes the steps of collecting profile data from a plurality of resource agents and allocating a number of resource units to each resource agent in the plurality of resource agents based on the collected profile data. The allocating may be performed via a resource manager in communication with the plurality of resource agents.
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公开(公告)号：US20180219817A1
公开(公告)日：2018-08-02
申请号：US15419629
申请日：2017-01-30
Applicant: Futurewei Technologies, Inc.
Inventor： Hui Zang , Jiangsheng Yu
Abstract: A system and method of automatically assigning a priority rank to messages. The system and method accesses a message data store and assigns a priority rank to each message. The priority rank is selected from a priority rank scale by, for each message, parsing the message for features present in the message and calculating a predicted intensity score for the message using a user-specific classifier. The classifier is trained from user training data which includes prior user messages on which a machine learning algorithm operates. The training data is labeled by scores calculated based on the actual activates performed by the user to each message. The priority rank of each message can be used to improve message processing in message processing systems.
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公开(公告)号：US20170337486A1
公开(公告)日：2017-11-23
申请号：US15157138
申请日：2016-05-17
Applicant: Futurewei Technologies, Inc.
Inventor： Hui Zang , Zonghuan Wu
CPC classification number: G06N20/00 , G06F3/0482 , G06F3/04842 , G06F16/2455 , G06N5/02 , G06N5/022 , G06Q30/0201
Abstract: A method includes receiving an original feature-set for training a machine learning system, the feature-set including multiple records each having a set of original features with original feature values and a result, querying a knowledge base based on the set of original features, receiving a set of knowledge features with knowledge feature values responsive to the querying of the knowledge base, generating a first augmented feature-set that includes the multiple records of the original feature set and the knowledge features for the multiple records, and training the machine learning system based on the first augmented feature-set.
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公开(公告)号：US10911382B2
公开(公告)日：2021-02-02
申请号：US15419629
申请日：2017-01-30
Applicant: Futurewei Technologies, Inc.
Inventor： Hui Zang , Jiangsheng Yu
Abstract: A system and method of automatically assigning a priority rank to messages. The system and method accesses a message data store and assigns a priority rank to each message. The priority rank is selected from a priority rank scale by, for each message, parsing the message for features present in the message and calculating a predicted intensity score for the message using a user-specific classifier. The classifier is trained from user training data which includes prior user messages on which a machine learning algorithm operates. The training data is labeled by scores calculated based on the actual activates performed by the user to each message. The priority rank of each message can be used to improve message processing in message processing systems.
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20.发明授权公开(公告)号：US10656970B2
公开(公告)日：2020-05-19
申请号：US15279315
申请日：2016-09-28
Applicant: Futurewei Technologies, Inc.
Inventor： Yinglong Xia , Hui Zang
IPC: G06F9/46 , G06F9/50 , G06F9/48 , G06F1/329 , G06F1/3206 , G06F1/324 , G06F1/3296
Abstract: An apparatus and method are provided for scheduling graph computing on heterogeneous platforms based on energy efficiency. A scheduling engine receives an edge set that represents a portion of a graph comprising vertices with at least one edge connecting two or more of the vertices. The scheduling engine obtains an operating characteristic for each processing resource of a plurality of heterogeneous processing resources. The scheduling engine computes, based on the operating characteristics and an energy parameter, a set of processing speed values for the edge set, each speed value corresponding to a combination of the edge set and a different processing resource of the plurality of heterogeneous processing resources. The scheduling engine identifies an optimal processing speed value from the set of computed speed values for the edge set.
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