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公开(公告)号：US10264013B2
公开(公告)日：2019-04-16
申请号：US14762181
申请日：2013-01-18
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Inventor： Yongqiang Liu , Shijian Li , Jun Qing Xie , Xunteng Xu
Abstract: Systems, methods, and machine-readable and executable instructions are provided for preventing a memory attack to a wireless access point (AP). Preventing a memory attack to a wireless access point can include receiving, with a wireless AP, a generic advertisement service (GAS) initial request from a querying station and transmitting, with the wireless AP, a GAS initial response to the querying station without querying an advertisement server based on the GAS initial request.
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公开(公告)号：US20180160364A1
公开(公告)日：2018-06-07
申请号：US15579516
申请日：2015-06-04
Applicant: Hewlett Packard Enterprise Development LP
Inventor： Shuai Wang , Xiaofeng Yu , Jun Qing Xie
Abstract: In an example, a set of training fingerprints may be accessed, in which each of the training fingerprints specifies an access point of a plurality of access points to which a mobile device made a successful connection, a relative signal strength of the connection to the access point, and a cellular signal strength of a cellular tower near the mobile device when the successful connection to the access point was made. Level counts of the relative signal strengths of the connections to the access points corresponding to the cellular signal strengths of the cellular tower may be cumulated from the set of training fingerprints. The cumulated level counts of the relative signal strengths of the access points may be ranked.
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公开(公告)号：US20180075361A1
公开(公告)日：2018-03-15
申请号：US15559207
申请日：2015-04-10
Applicant: HEWLETT-PACKARD ENTERPRISE DEVELOPMENT LP
Inventor： Xiaofeng Yu , Jun Qing Xie
CPC classification number: G06N7/005 , G06F16/24568 , G06F16/35 , G06F16/901
Abstract: Examples relate to hidden dynamic systems. In some examples, a conditional probability distribution for labeling data record segments is defined, where the conditional probability distribution models dependencies between class labels and internal substructures of the data record segments. At this stage, optimal parameter values are determined for the conditional probability distribution by applying a quasi-Newton gradient ascent method to training data, where the conditional probability distribution is restricted to a disjoint set of hidden states for each of the class labels. The conditional probability distribution and the optimal parameter values are used to determine a most probable labeling sequence for the data record segments.
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公开(公告)号：US11417097B2
公开(公告)日：2022-08-16
申请号：US17010795
申请日：2020-09-02
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Inventor： Qun Yang Lin , Jun Qing Xie , Shuai Wang , Kyu-Han Kim
Abstract: A video annotation system for deep learning based video analytics and corresponding methods of use and operation are described that significantly improve the efficiency of video data frame labeling and the user experience. The video annotation system described herein may be deployed at a network edge and may support various intelligent annotation functionality including annotation tracking, adaptive video segmentation, and execution of predictive annotation algorithms. In addition, the video annotation system described herein supports team collaboration functionality in connection with large-scale labeling tasks.
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公开(公告)号：US20180041920A1
公开(公告)日：2018-02-08
申请号：US15500637
申请日：2015-11-30
Applicant: Shuai WANG , Jun Qing XIE , Hewlett Packard Enterprise Development LP
Inventor： Shuai Wang , Jun Qing Xie
CPC classification number: H04W28/08 , H04L45/245 , H04W28/02 , H04W76/15 , H04W84/12
Abstract: An example system can include a communication device to communicate with a network. The system can include a long-term evolution (LTE) interface to communicatively couple the communication device to the network. The system can include a wireless local area network (WLAN) interface to communicatively couple the communication device to the network. A session associated with each of the LTE interface and the WLAN interface can be maintained together and an identical IP address can be associated with the LTE interface and the WLAN interface.
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Patent Agency Ranking
公开(公告)号：US20170185672A1
公开(公告)日：2017-06-29
申请号：US15325060
申请日：2014-07-31
Applicant: Xiaofeng YU , Junqing XIE , Hewlett Packard Enterprise Development LP
Inventor： Xiaofeng Yu , Jun Qing Xie
CPC classification number: G06F16/3346 , G06F16/951 , G06F17/18
Abstract: Rank aggregation based on a Markov model is disclosed. One example is a system including a query processor, at least two information retrievers, a Markov model, and an evaluator. The query processor receives a query via a processing system. Each of the at least two information retrievers retrieves a plurality of document categories responsive to the query, each of the plurality of document categories being at least partially ranked. The Markov model generates a Markov process based on the at least partial rankings of the respective plurality of document categories. The evaluator determines, via the processing system, an aggregate ranking for the plurality of document categories, the aggregate ranking based on a probability distribution of the Markov process.
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公开(公告)号：US20210204205A1
公开(公告)日：2021-07-01
申请号：US16071261
申请日：2016-01-29
Applicant: Lina XU , Jun Qing XIE , Hewlett Packard Enterprise Development LP
Inventor： Lina Xu , Jun Qing Xie
Abstract: In some examples, a user equipment may perform a method that includes identifying that a first wireless network operated by an enterprise is accessible to the user equipment as well as identifying that a second wireless network different from the first wireless network and also operated by the enterprise is accessible to the user equipment. The method performed by the user equipment may further include selecting the first wireless network to connect to instead of the second wireless network based on an enterprise employee characteristic associated with the user equipment.
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公开(公告)号：US20180336482A1
公开(公告)日：2018-11-22
申请号：US15559650
申请日：2015-04-13
Applicant: Xiao-Feng YU , JunQing XIE , HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Inventor： Xiaofeng Yu , Jun Qing Xie
Abstract: A device of performing social prediction in a social network may include a processor and a memory. In an example, instructions stored in the memory and executable by the processor may classify connections of user pairs within the social network into weak ties and strong ties according to tie strength of the connections. During the generation of a social network model, a first model may be set for the weak ties, and a second model may be set for the strong ties. The social network model may be trained to obtain model parameters, and social data of a user may be predicted by using the model parameters and the social network model.
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公开(公告)号：US20180152849A1
公开(公告)日：2018-05-31
申请号：US15579533
申请日：2015-06-04
Applicant: Hewlett Packard Enterprise Development LP
Inventor： Shuai Wang , Jun Qing Xie , Xiaofeng Yu
CPC classification number: H04W16/18 , G01S5/0252 , H04L41/145 , H04L41/147 , H04W48/16 , H04W48/20 , H04W64/00 , H04W88/06 , H04W88/08
Abstract: In an example, a set of training fingerprints may be access, in which each of the training fingerprints may specify an access point of a plurality of access points to which a mobile device made a successful connection and a cellular signal strength of a cellular tower near the client device when the successful connection was made. An interim model may be generated from the accessed set of training fingerprints, in which the interim model may contain a subset of the information in the set of training fingerprints to enable a destination device to generate a prediction model to predict an availability of an access point. The generated interim model may be transferred to the destination device.
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公开(公告)号：US20170337484A1
公开(公告)日：2017-11-23
申请号：US15532982
申请日：2014-12-12
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Inventor： Xiaofeng Yu , Jun Qing Xie
CPC classification number: G06N7/005 , G06F16/254 , G06F16/288 , G06F16/35 , G06F16/951 , G06F17/18 , G06N20/00
Abstract: Example embodiments relate to scalable web data extraction. In example embodiments, a joint potential function is defined for data record segments of web data extracted from a web page, where the joint potential function models data record segmentation of the web data and dependencies between pairs of data segments in the data record segments. At this stage, a principal record segment and several related record segments are identified from the data record segments, where each of the plurality of related record segments is associated with the principal record segment. A related attribute is determined for each related record segment. Next, the joint potential function is applied to the principal record segment and each corresponding related segment to determine a relationship label that describes a data relationship between the principal record segment and the corresponding related segment.
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