Patents by Inventor Peng Gao

Peng Gao has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10828959
    Abstract: A method to train a machine learning model for in-vehicle air quality control in a knowledge-based system, executed by one or more computer processors, includes collecting data related to in-vehicle air quality from a plurality of probe cars where the data is collected by various on-board systems in each probe car. The method includes correlating the data related to in-vehicle air quality from each probe car with air quality measurements from each probe car, where the correlation is used to update the machine learning model. The method includes determining a situation when an in-vehicle air quality measurement of the air quality measurements is above a pre-determined in-vehicle air quality level and determining instructions for actions by one or more of the one or more on-board systems in each of the probe cars to maintain an in-vehicle air quality level at or below the pre-determined in-vehicle air quality level.
    Type: Grant
    Filed: September 15, 2017
    Date of Patent: November 10, 2020
    Assignee: International Business Machines Corporation
    Inventors: Ning Duan, Peng Gao, Jing Chang Huang, Peng Ji, Chun Yang Ma, Wei Sun, Zhi Hu Wang, Ren Jie Yao
  • Patent number: 10817775
    Abstract: Embodiments are described for minimizing a wait time for a rider after sending a ride request for a vehicle. An example computer-implemented method includes receiving a ride request, the request being for travel from a starting location to a zone in a geographic region during a specified timeslot. The method further includes predicting travel demand based on a number of ride requests in the zone during the specified timeslot. The method further includes requesting transport of one or more vehicles to the zone in response to the predicted number of ride requests when the travel demand is predicted to exceed a number of vehicles in the zone during the specified timeslot.
    Type: Grant
    Filed: January 12, 2017
    Date of Patent: October 27, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Wei Shan Dong, Peng Gao, Chang Sheng Li, Wei Sun, Renjie Yao, Ting Yuan, Jun Zhu
  • Patent number: 10810052
    Abstract: Computational methods and systems that proactively manage usage of computational resources of a distributed computing system are described. A sequence of metric data representing usage of a resource is detrended to obtain a sequence of non-trendy metric data. Stochastic process models, a pulse wave model and a seasonal model of the sequence of non-trendy metric data are computed. When a forecast request is received, a sequence of forecasted metric data is computed over a forecast interval based on the estimated trend and one of the pulse wave or seasonal model that matches the periodicity of the sequence of non-trendy metric data. Alternatively, the sequence of forecasted metric data is computed based on the estimated trend and the stochastic process model with a smallest accumulated residual error. Usage of the resource by virtual objects of the distributed computing system may be adjusted based on the sequence of forecasted metric data.
    Type: Grant
    Filed: July 26, 2018
    Date of Patent: October 20, 2020
    Assignee: VMware, Inc.
    Inventors: Darren Brown, Junyuan Lin, Paul Pedersen, Keshav Mathur, Peng Gao, Xing Wang, Leah Nutman
  • Patent number: 10812394
    Abstract: Embodiments of the present invention disclose a virtual network device. The virtual network device is configured to implement a broadband network gateway BNG function, and the virtual network device includes a load balance unit and a first forwarding unit; the load balance unit is configured to: receive a first data packet from a first user terminal, determine the first forwarding unit according to the first data packet and a first correspondence, and send the first data packet to the first forwarding unit, where the first correspondence indicates mapping from the first user terminal to the first forwarding unit; and the first forwarding unit is configured to receive and forward the first data packet. In addition, the embodiments of the present invention further disclose a method for implementing load sharing in a virtual network device.
    Type: Grant
    Filed: August 14, 2018
    Date of Patent: October 20, 2020
    Assignee: HUAWEI TECHNOLOGIES CO., LTD.
    Inventors: Dayong Guo, Chenxi Hu, Peng Gao, Xindong Teng, Hongtao Guo, Shengtao Sun
  • Patent number: 10810486
    Abstract: Embodiments are described for minimizing a wait time for a rider after sending a ride request for a vehicle. An example computer-implemented method includes receiving a ride request, the request being for travel from a starting location to a zone in a geographic region during a specified timeslot. The method further includes predicting travel demand based on a number of ride requests in the zone during the specified timeslot. The method further includes requesting transport of one or more vehicles to the zone in response to the predicted number of ride requests when the travel demand is predicted to exceed a number of vehicles in the zone during the specified timeslot.
    Type: Grant
    Filed: November 3, 2017
    Date of Patent: October 20, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Wei Shan Dong, Peng Gao, Chang Sheng Li, Wei Sun, Renjie Yao, Ting Yuan, Jun Zhu
  • Patent number: 10790623
    Abstract: An interconnection unit includes a first connector configured to be coupled to an electronic device. There is a second connector configured to be coupled to a power station and to provide a path to the electronic device via the first connector. There is a low pass filter coupled between the first connector and the second connector and configured to allow the electronic device to receive power from the power station while maintaining data security of the electronic device.
    Type: Grant
    Filed: November 22, 2017
    Date of Patent: September 29, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Ning Duan, Peng Gao, Chun Yang Ma, Zhi Hu Wang, Ren Jie Yao
  • Patent number: 10776166
    Abstract: Computational methods and systems that proactively manage usage of computational resources of a distributed computing system are described. A sequence of metric data representing usage of a resource is detrended to obtain a sequence of non-trendy metric data. Stochastic process models, a pulse wave model and a seasonal model of the sequence of non-trendy metric data are computed. When a forecast request is received, a sequence of forecasted metric data is computed over a forecast interval based on the estimated trend and one of the pulse wave or seasonal model that matches the periodicity of the sequence of non-trendy metric data. Alternatively, the sequence of forecasted metric data is computed based on the estimated trend and the stochastic process model with a smallest accumulated residual error. Usage of the resource by virtual objects of the distributed computing system may be adjusted based on the sequence of forecasted metric data.
    Type: Grant
    Filed: April 12, 2018
    Date of Patent: September 15, 2020
    Assignee: VMware, Inc.
    Inventors: Darren Brown, Junyuan Lin, Paul Pedersen, Keshav Mathur, Leah Nutman, Peng Gao, Xing Wang
  • Publication number: 20200261438
    Abstract: Provided herein are compounds, derivatives thereof, composition comprising one or more of said compounds and derivatives, and methods for prevention and/or treatment of microbial infections and/or related diseases or conditions. The present compounds and/or derivatives thereof can be represented by Formula (II): The present methods include administering to a subject an effective amount of one or more compounds of Formula (II). In one embodiment, said microbial infections are bacterial infections. More specifically, said bacterial infections are staphylococcal infections.
    Type: Application
    Filed: May 5, 2020
    Publication date: August 20, 2020
    Inventors: Yi Tsun Richard KAO, Peng GAO, Xuechen LI, Ming LIU
  • Patent number: 10748281
    Abstract: A method and system of detecting abnormalities captured in a medical image are provided. A medical image is received having one or more lesions and one or more interferences. One or more convolution layers are applied to the medical image to create one or more feature maps, respectively. A region proposal network (RPN) is applied to each of the one or more feature maps to create a bounding box around each lesion and interference. For each bounding box, an object in the bounding box is classified as a lesion, an interference, or a background. Each object that is incorrectly classified as a lesion but determined to be an interference, is stored as a hard-negative example to be part of a training set for a next application of the RPN.
    Type: Grant
    Filed: July 21, 2018
    Date of Patent: August 18, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Xiaolu Zhang, Xin Zhang, Dingli Gao, Peng Gao, Xiu Li Li, Shiwan Zhao
  • Patent number: 10731997
    Abstract: A method, system, and computer program product, include receiving a plurality of requests for dynamic context information from a plurality of road segments, determining whether the plurality of road segments are included in a same cluster of road segments in a road network generated by clustering road segments in the road network based on connectivity of the road network; and consolidating the plurality of requests to generate a consolidated request in response to determining that the plurality of road segments are included in the same cluster.
    Type: Grant
    Filed: May 31, 2018
    Date of Patent: August 4, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Wei Shan Dong, Peng Gao, Chang Sheng Li, Chun Yang Ma, Ren Jie Yao, Xin Zhang
  • Patent number: 10731995
    Abstract: The present disclosure relates to a method and system for generating a road network. An embodiment of the present invention provides a method comprising: identifying a target area to be refined in a road network skeleton; and refining the target area using at least one trajectory associated with the target area to generate the road network. Another embodiment of the present invention provides a corresponding system.
    Type: Grant
    Filed: February 24, 2017
    Date of Patent: August 4, 2020
    Assignee: International Business Machines Corporation
    Inventors: Jian Dong Ding, Ning Duan, Peng Gao, Peng Ji, Xin Zhang, Qian Kun Zhao
  • Patent number: 10692220
    Abstract: Techniques facilitating object classification based on decoupling a background from a foreground of an image are provided. A system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a model that is trained on images that comprise respective backgrounds and respective foregrounds that are interleaved. The model can be trained to detect the respective backgrounds with a defined confidence level. The computer executable components can also comprise an extraction component that employs the model to identify a background of a received image based on the defined confidence level and to decouple a foreground object of the received image based on identification of the background of the received image.
    Type: Grant
    Filed: October 18, 2017
    Date of Patent: June 23, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Peng Gao, Guo Qiang Hu, Jing Chang Huang, Jun Chi Yan, Jun Zhu
  • Patent number: 10677605
    Abstract: A system for tracking cumulative motor vehicle risk includes a satellite navigation system receiver disposed within a motor vehicle and configured to determine a present location of the motor vehicle. A computer processor receives the determined present location of the motor vehicle from the satellite navigation system receiver and generates a traveled route therefrom. A first computer server receives a plurality of motor vehicle claims records, determines a plurality of motor vehicle accident locations from the plurality of motor vehicle claims records, and generates a motor vehicle accident heat map from the plurality of motor vehicle accident locations. A second computer server determines a cumulative risk exposure of the motor vehicle based on the generated traveled route and the generated motor vehicle accident heat map.
    Type: Grant
    Filed: October 25, 2017
    Date of Patent: June 9, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Wei Shan Dong, Ning Duan, Peng Gao, Kai Li, Zhi Hu Wang, Ting Yuan, Xin Zhang, Shi Wan Zhao
  • Patent number: 10679143
    Abstract: A method of generating a predictor to classify data includes: training each of a plurality of first classifiers arranged in a first level on current training data; operating each classifier of the first level on the training data to generate a plurality of predictions; combining the current training data with the predictions to generated new training data; and training each of a plurality of second classifiers arranged in a second level on the new training data. The first classifiers are classifiers of different classifier types, respectively and the second classifiers are classifiers of the different classifier types, respectively.
    Type: Grant
    Filed: July 1, 2016
    Date of Patent: June 9, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Wei Shan Dong, Peng Gao, Chang Sheng Li, Chun Yang Ma, Junchi Yan, Ren Jie Yao
  • Patent number: 10671924
    Abstract: In one embodiment, a computer-implemented method includes receiving training data including a plurality of records, each record having a plurality of attributes. The training data is horizontally parallelized across two or more processing elements. This horizontal parallelizing includes dividing the training data into two or more subsets of records; assigning each subset of records to a corresponding processing element of the two or more processing elements; transmitting each subset of records to its assigned processing element; and sorting, at the two or more processing elements, the two or more subsets of records to two or more candidate leaves of a decision tree. The output from horizontally parallelizing is converted into input for vertically parallelizing the training data. The training data is vertically parallelized across the two or more processing elements. The decision tree is grown based at least in part on the horizontally parallelizing, the converting, and the vertically parallelizing.
    Type: Grant
    Filed: August 24, 2015
    Date of Patent: June 2, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Wei Shan Dong, Peng Gao, Guo Qiang Hu, Chang Sheng Li, Xu Liang Li, Chun Yang Ma, Zhi Wang, Xin Zhang
  • Patent number: 10671918
    Abstract: Techniques facilitating attention based sequential image processing are provided. A system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an initialization component that can perform self-attention based training on a model that comprises context information associated with a sequence of images. Images of the sequence of images can be selected during the self-attention based training. The computer executable components can also comprise a localization component that can extract local information from the images selected during the self-attention based training based on the context information. In addition, the computer executable components can also comprise an integration component that can update the model based on an end-to-end integrated attention training framework comprising the context information and the local information.
    Type: Grant
    Filed: October 24, 2017
    Date of Patent: June 2, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Peng Gao, Xiu Li Li, Yong Qin, Shi Lei Zhang, Xiaolu Zhang, Xin Zhang, Shi Wan Zhao
  • Patent number: 10664756
    Abstract: In one embodiment, a computer-implemented method includes receiving training data including a plurality of records, each record having a plurality of attributes. The training data is horizontally parallelized across two or more processing elements. This horizontal parallelizing includes dividing the training data into two or more subsets of records; assigning each subset of records to a corresponding processing element of the two or more processing elements; transmitting each subset of records to its assigned processing element; and sorting, at the two or more processing elements, the two or more subsets of records to two or more candidate leaves of a decision tree. The output from horizontally parallelizing is converted into input for vertically parallelizing the training data. The training data is vertically parallelized across the two or more processing elements. The decision tree is grown based at least in part on the horizontally parallelizing, the converting, and the vertically parallelizing.
    Type: Grant
    Filed: November 30, 2015
    Date of Patent: May 26, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Wei Shan Dong, Peng Gao, Guo Qiang Hu, Chang Sheng Li, Xu Liang Li, Chun Yang Ma, Zhi Wang, Xin Zhang
  • Publication number: 20200160183
    Abstract: Techniques facilitating attention based sequential image processing are provided. A system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an initialization component that can perform self-attention based training on a model that comprises context information associated with a sequence of images. Images of the sequence of images can be selected during the self-attention based training. The computer executable components can also comprise a localization component that can extract local information from the images selected during the self-attention based training based on the context information. In addition, the computer executable components can also comprise an integration component that can update the model based on an end-to-end integrated attention training framework comprising the context information and the local information.
    Type: Application
    Filed: January 27, 2020
    Publication date: May 21, 2020
    Inventors: Peng Gao, Xiu Li Li, Yong Qin, Shi Lei Zhang, Xiaolu Zhang, Xin Zhang, Shi Wan Zhao
  • Publication number: 20200143566
    Abstract: A computer-implemented method is presented for inferring passenger routes in a subway system. The method includes identifying, via an imaging device, a target passenger within the subway system, employing an exiting flow extractor to determine passenger exiting waves, employing an exiting wave identifier to mark an exiting wave of the passenger exiting waves including the target passenger, employing a supporting evidence backtracer to determine an entrance gate for each of the passengers in the marked exiting wave including the target passenger, determining a route probability for each of the passengers in the marked exiting wave including the target passenger via voting or distribution estimation processing, and employing a most probable route inferer to infer a route of the target passenger based on an aggregate route probability for all the passengers in the marked exiting wave.
    Type: Application
    Filed: November 6, 2018
    Publication date: May 7, 2020
    Inventors: Xin Zhang, Peng Gao, Zhi Hu Wang, Ning Duan, Gang BJ Ning, Yan Fang
  • Patent number: 10636293
    Abstract: The disclosure involves a method comprising clustering a plurality of observation samples related to historical travel demands into one or more clusters; for each cluster, constructing an actual probability distribution of the historical travel demands corresponding to the observation samples in the cluster; for each cluster, inputting observation samples in the cluster into a prediction model for predicting future travel demands to produce a result of prediction; for each cluster, computing a predicted probability distribution of the historical travel demands corresponding to the observation samples in the cluster based on the result of prediction; for each cluster, evaluating a difference between the actual probability distribution and the predicted probability distribution of the cluster; and modifying the prediction model so that a statistical sum of the differences for the one or more clusters is decreased.
    Type: Grant
    Filed: June 7, 2017
    Date of Patent: April 28, 2020
    Assignee: International Business Machines Corporation
    Inventors: Wei Shan Dong, Peng Gao, Wei Sun, Jun Chi Yan, Shi Lei Zhang, Xin Zhang, Jun Zhu