-
公开(公告)号：US20210232919A1
公开(公告)日：2021-07-29
申请号：US17158483
申请日：2021-01-26
Applicant: NEC Laboratories America, Inc.
Inventor： Wei Cheng , Haifeng Chen , Jingchao Ni , Dongkuan Xu
Abstract: Methods and systems for training a neural network model include training a modular neural network model, which has a shared encoder and one or more task-specific decoders, including training one or more policy networks that control connections between the shared encoder and the one or more task-specific decoders in accordance with multiple tasks. A multitask neural network model is trained for the multiple tasks, with an output of the modular neural network model and the multitask neural network model being combined to form a final output.
-
公开(公告)号：US20210216887A1
公开(公告)日：2021-07-15
申请号：US17147035
申请日：2021-01-12
Applicant: NEC Laboratories America, Inc.
Inventor： Wenchao Yu , Wei Cheng , Haifeng Chen
Abstract: A computer-implemented method is provided for cross-lingual knowledge graph alignment. The method includes formulating a credible aligned entity pair selection problem for cross-lingual knowledge graph alignment as a Markov decision problem having a state space, an action space, a state transition probability and a reward function. The method further includes calculating a reward for a language entity selection policy responsive to the reward function. The method also includes performing credible aligned entity selection by optimizing task-specific rewards from an alignment-oriented entity representation learning phrase. The method additionally includes providing selected entity pairs as augmented alignments to the representation learning phase.
-
公开(公告)号：US20210049213A1
公开(公告)日：2021-02-18
申请号：US16936541
申请日：2020-07-23
Applicant: NEC Laboratories America, Inc.
Inventor： Xuchao Zhang , Wei Cheng , Haifeng Chen , Bo Zong
IPC: G06F16/9032 , G06K9/62 , G06F16/9035
Abstract: A method for employing a temporal context-aware question routing model (TCQR) in multiple granularities of temporal dynamics in community-based question answering (CQA) systems is presented. The method includes encoding answerers into temporal context-aware representations based on semantic and temporal information of questions, measuring answerers expertise in one or more of the questions as a coherence between the temporal context-aware representations of the answerers and encodings of the questions, modeling the temporal dynamics of answering behaviors of the answerers in different levels of time granularities by using multi-shift and multi-resolution extensions, and outputting answers of select answerers to a visualization device.
-
公开(公告)号：US20200265291A1
公开(公告)日：2020-08-20
申请号：US16787820
申请日：2020-02-11
Applicant: NEC Laboratories America, Inc.
Inventor： Wei Cheng , Haifeng Chen , Dongkuan Xu
Abstract: Systems and methods for implementing a spatial and temporal attention-based gated recurrent unit (GRU) for node classification over temporal attributed graphs are provided. The method includes computing, using a GRU, embeddings of nodes at different snapshots. The method includes performing weighted sum pooling of neighborhood nodes for each node. The method further includes concatenating feature vectors for each node. Final temporal network embedding vectors are generated based on the feature vectors for each node. The method also includes applying a classification model based on the final temporal network embedding vectors to the plurality of nodes to determine temporal attributed graphs with classified nodes.
-
公开(公告)号：US20200092315A1
公开(公告)日：2020-03-19
申请号：US16562805
申请日：2019-09-06
Applicant: NEC Laboratories America, Inc.
Inventor： Wei Cheng , LuAn Tang , Haifeng Chen , Bo Zong , Jingchao Ni
Abstract: Systems and methods for implementing sequence data based temporal behavior analysis (SDTBA) to extract features for characterizing temporal behavior of network traffic are provided. The method includes extracting communication and profile data associated with one or more devices to determine sequences of data associated with the devices. The method includes generating temporal features to model anomalous network traffic. The method also includes inputting, into an anomaly detection process for anomalous network traffic, the temporal features and the sequences of data associated with the devices and formulating a list of prediction results of anomalous network traffic associated with the devices.
-
Patent Agency Ranking
公开(公告)号：US20200050182A1
公开(公告)日：2020-02-13
申请号：US16520632
申请日：2019-07-24
Applicant: NEC Laboratories America, Inc.
Inventor： Wei Cheng , Dongkuan Xu , Haifeng Chen , Masanao Natsumeda
Abstract: Systems and methods are provided for detecting anomaly precursor events. The methods include organizing time series data into an input data structure that maintains an association between instances identified in the time series data and respective sensors. Additionally, the methods include calculating an instance attention value for each instance of at least one instance; calculating a sensor attention value for each sensor of the respective sensors; and identifying correlations between multiple sensors of the respective sensors based on the instance attention value and sensor attention value to identify a precursor event candidate based on a relationship between the instances and the respective sensors. Also, the method includes identifying an impending anomaly candidate from a database of historical anomalies based on the precursor event candidate. Further, the method includes generating an alert indicating an impending anomaly event identifying a type of impending anomaly event based on the database of historical anomalies.
-
公开(公告)号：US20180336436A1
公开(公告)日：2018-11-22
申请号：US15981087
申请日：2018-05-16
Applicant: NEC Laboratories America, Inc.
Inventor： Wei Cheng , Haifeng Chen , Kenji Yoshihira
Abstract: A computer-implemented method, system, and computer program product are provided for anomaly detection system in streaming networks. The method includes receiving, by a processor, a plurality of vertices and edges from a streaming graph. The method also includes generating, by the processor, graph codes for the plurality of vertices and edges. The method additionally includes determining, by the processor, edge codes in real-time responsive to the graph codes. The method further includes identifying, by the processor, an anomaly based on a distance between edge codes and all current cluster centers. The method also includes controlling an operation of a processor-based machine to change a state of the processor-based machine, responsive to the anomaly.
-
公开(公告)号：US20180131560A1
公开(公告)日：2018-05-10
申请号：US15793358
申请日：2017-10-25
Applicant: NEC Laboratories America, Inc.
Inventor： Wei Cheng , Haifeng Chen , Guofei Jiang
Abstract: Methods and systems for detecting a system fault include determining a network of broken correlations for a current timestamp, relative to a predicted set of correlations, based on a current set of sensor data. The network of broken correlations for the current timestamp is compared to networks of broken correlations for previous timestamps to determine a fault propagation pattern. It is determined whether a fault has occurred based on the fault propagation pattern. A system management action is performed if a fault has occurred.
-
公开(公告)号：US20180067831A1
公开(公告)日：2018-03-08
申请号：US15661625
申请日：2017-07-27
Applicant: NEC Laboratories America, Inc.
Inventor： Wei Cheng , Haifeng Chen , Guofei Jiang , Jingchao Ni
CPC classification number: G06F11/2257 , G06F17/504 , G06N5/048 , G06N20/00
Abstract: A computer-implemented method for diagnosing system faults by fine-grained causal anomaly inference is presented. The computer-implemented method includes identifying functional modules impacted by causal anomalies and backtracking causal anomalies in impaired functional modules by a low-rank network diffusion model. An invariant network and a broken network are inputted into the system, the invariant network and the broken network being jointly clustered to learn a degree of broken severities of different clusters as a result of fault propagations.
-
90.发明申请公开(公告)号：US20170228277A1
公开(公告)日：2017-08-10
申请号：US15420949
申请日：2017-01-31
Applicant: NEC Laboratories America, Inc.
Inventor： Wei Cheng , Kai Zhang , Haifeng Chen , Guofei Jiang
CPC classification number: G06F11/079 , G06F11/0709 , G06F11/0751 , G06F2201/805 , G06F2201/81 , G06N99/005
Abstract: A method is provided for root cause anomaly detection in an invariant network having a plurality of nodes that generate time series data. The method includes modeling anomaly propagation in the network. The method includes reconstructing broken invariant links in an invariant graph based on causal anomaly ranking vectors. Each broken invariant link involves a respective node pair formed from the plurality of nodes such that one of the nodes in the respective node pair has an anomaly. Each causal anomaly ranking vector is for indicating a respective node anomaly status for a given one of the plurality of nodes when paired. The method includes calculating a sparse penalty of the casual anomaly ranking vectors to obtain a set of time-dependent anomaly rankings. The method includes performing temporal smoothing of the set of rankings, and controlling an anomaly-initiating one of the plurality of nodes based on the set of rankings.
-
-
-
-
-
-
-
-
-
Search Results
156
records
(took 0.026 seconds)
