Patents by Inventor Xiaocheng Tang

Xiaocheng Tang 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).

  • Publication number: 20200364627
    Abstract: A ride order dispatching system comprises a processor, and a non-transitory computer-readable storage medium storing instructions that, when executed by the processor, cause the processor to perform a method. The method comprises: obtaining, from a computing device, a current location of a vehicle; inputting the current location of the vehicle and a time to a trained neural network model to obtain action information for the vehicle, the action information comprising: staying at the current location of the vehicle, re-positioning the vehicle, or accepting a ride order; and transmitting the action information to the computing device to cause the vehicle to stay at the current location, re-position to another location, or accept the ride order by proceeding to a pick-up location of the ride order.
    Type: Application
    Filed: September 5, 2018
    Publication date: November 19, 2020
    Inventors: Zhiwei QIN, Xiaocheng TANG
  • Publication number: 20200074354
    Abstract: Systems and methods are provided for ride order dispatching and vehicle repositioning. A method for ride order dispatching and vehicle repositioning, comprises: obtaining information comprising a location of a vehicle, current orders, and a current time; inputting the obtained information to a trained model; and determining action information for the vehicle based on an output of the trained model, the action information comprising: re-positioning the vehicle or accepting a ride order. The model is configured with: receiving information of drivers and information of orders as inputs; obtaining a global state based on the information of drivers, the information of orders, and a global time; and querying a plurality of driver-order pairs and driver-reposition pairs based at least on the obtained global state to determine the action information as the output.
    Type: Application
    Filed: December 31, 2018
    Publication date: March 5, 2020
    Inventors: Zhiwei QIN, Xiaocheng TANG, Yan JIAO, Chenxi WANG
  • Publication number: 20200074353
    Abstract: Systems and methods are provided for ride order dispatching and vehicle repositioning. A method for ride order dispatching and vehicle repositioning, comprises: obtaining information comprising a location of a vehicle, current orders, and a current time; inputting the obtained information to a trained model; and determining action information for the vehicle based on an output of the trained model, the action information comprising: re-positioning the vehicle or accepting a ride order. The model is configured with: receiving information of drivers and information of orders as inputs; obtaining a global state based on the information of drivers, the information of orders, and a global time; and querying a plurality of driver-order pairs and driver-reposition pairs based at least on the obtained global state to determine the action information as the output.
    Type: Application
    Filed: December 31, 2018
    Publication date: March 5, 2020
    Inventors: Zhiwei QIN, Xiaocheng TANG, Yan JIAO, Chenxi WANG
  • Patent number: 10510445
    Abstract: Methods and systems are disclosed for displaying clinical parameters in a chart that can be easily interpreted by medical personnel. A system includes a parameter acquiring device configured to acquire data signals indicative of depth of anesthesia in real time. The system also includes a data processor and a display device, which are in communication with the parameter acquiring device.
    Type: Grant
    Filed: December 30, 2016
    Date of Patent: December 17, 2019
    Inventors: Chenghua Huang, Xiaocheng Tang, Ruiling Pan, Lei Qing, Xinsheng Li, Jie Qin, Jianfeng Jiang
  • Publication number: 20190216390
    Abstract: A medical monitoring device includes a signal collection module, a data processing module and a display module. The data processing module processes a vital sign signal collected by the signal collection module, generates physiological parameters, and generates visualization information about parameters of interest corresponding to a designated anesthetic phase based on request information, the designated anesthetic phase is an anesthetic induction phase, an anesthetic maintenance phase or a postoperative recovery phase, and the parameters of interest comprise parameters selected from the physiological parameters and/or anesthetic parameters derived from the physiological parameters. The display module at least displays the visualization information about the parameters of interest corresponding to the designated anesthetic phase in an anesthetic state display area.
    Type: Application
    Filed: March 5, 2019
    Publication date: July 18, 2019
    Inventors: Xiaocheng Tang, Ming Yi Tan, Weijun Wu, Jianhui Zhang, Qinglin Tao
  • Publication number: 20190171913
    Abstract: Methods, systems, apparatus, and tangible non-transitory carrier media encoded with one or more computer programs for classifying an input text block into a sequence of one or more classes in a multi-level hierarchical classification taxonomy. In accordance with particular embodiments, a source sequence of inputs corresponding to the input text block is processed, one at a time per time step, with an encoder recurrent neural network (RNN) to generate a respective encoder hidden state for each input, and the respective encoder hidden states are processed, one at a time per time step, with a decoder RNN to produce a sequence of outputs representing a directed classification path in a multi-level hierarchical classification taxonomy for the input text block.
    Type: Application
    Filed: December 4, 2017
    Publication date: June 6, 2019
    Applicant: Slice Technologies, Inc.
    Inventors: Minhao Cheng, Xiaocheng Tang, Chu-Cheng Hsieh
  • Publication number: 20170124273
    Abstract: Methods and systems are disclosed for displaying clinical parameters in a chart that can be easily interpreted by medical personnel.
    Type: Application
    Filed: December 30, 2016
    Publication date: May 4, 2017
    Inventors: Chenghua HUANG, Xiaocheng TANG, Ruiling PAN, Lei QING, Xinsheng LI, Jie QIN, Jianfeng JIANG
  • Patent number: 8719194
    Abstract: A method for training a classifier for selecting features in sparse data sets with high feature dimensionality includes providing a set of data items x and labels y, minimizing a functional of the data items x and associated labels y L ? ( w , b , a , c , ? 1 , ? 2 ) := 1 N ? ? i = 1 N ? a i + ? 1 ? ? c ? 1 + ? 2 2 ? ? w ? 2 2 + ? 1 T ? ( e - Y ? ( Xw + be ) - a ) + ? 2 T ? ( w - c ) + ? 1 2 ? ? e - Y ? ( Xw + be ) - a ? 2 2 + ? 2 2 ? ? w - c ? 2 2 to solve for hyperplane w and offset b of a classifier by successively iteratively approximating w and b, auxiliary variables a and c, and multiplier vectors ?1 and ?2, wherein ?1, ?2, ?1, and ?2 are predetermined constants, e is a unit vector, and X and Y are respective matrix representations of the data items x and labels y; providing non-zero elements of the hyperplane vector w and corresponding components of X and Y as arguments to an interior point method solv
    Type: Grant
    Filed: September 12, 2012
    Date of Patent: May 6, 2014
    Assignee: Siemens Aktiengesellschaft
    Inventors: Zhiwei Qin, Xiaocheng Tang, Ioannis Akrotirianakis, Amit Chakraborty
  • Publication number: 20130073489
    Abstract: A method for training a classifier for selecting features in sparse data sets with high feature dimensionality includes providing a set of data items x and labels y, minimizing a functional of the data items x and associated labels y L ? ( w , b , a , c , ? 1 , ? 2 ) := 1 N ? ? i = 1 N ? a i + ? 1 ? ? c ? 1 + ? 2 2 ? ? w ? 2 2 + ? 1 T ? ( e - Y ? ( Xw + be ) - a ) + ? 2 T ? ( w - c ) + ? 1 2 ? ? e - Y ? ( Xw + be ) - a ? 2 2 + ? 2 2 ? ? w - c ? 2 2 to solve for hyperplane w and offset b of a classifier by successively iteratively approximating w and b, auxiliary variables a and c, and multiplier vectors ?1 and ?2, wherein ?1, ?2, ?1, and ?2 are predetermined constants, e is a unit vector, and X and Y are respective matrix representations of the data items x and labels y; providing non-zero elements of the hyperplane vector w and corresponding components of X and Y as arguments to an interior point method solv
    Type: Application
    Filed: September 12, 2012
    Publication date: March 21, 2013
    Applicant: Siemens Corporation
    Inventors: Zhiwei Qin, Xiaocheng Tang, Ioannis Akrotirianakis, Amit Chakraborty