Patents by Inventor Yizhou Pan

Yizhou Pan 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: 11310184
    Abstract: Methods are presented for classifying responses to communications. One method includes presenting, in a first user interface (UI), a message from a sender to a recipient requesting a response. The first UI includes response options of a first classification, a second classification, and an entry field for entering a free text message. Another operation is for receiving a recipient response with a selection of: (a) the first or the second button and (b) the free text message entered in the text entry field. The method further includes generating a featurized recipient response based on the free text message and the selection. An acceptance machine-learning (ML) model calculates a classification value of the recipient response from a set of possible classification values based on the featurized recipient response. The method further includes presenting, in a second UI for the sender, an indicator for the message and the calculated classification value.
    Type: Grant
    Filed: September 30, 2020
    Date of Patent: April 19, 2022
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Christian Wilhelm Kurt Byza, Jeffrey William Pasternack, Haowen Ning, Pujita Mathur, Yizhou Pan, Ngoc M. Vu, Akshaya Subbaraya Bhat, Arya Ghatak Choudhury, Jia Liu, Neil Cruz Pomerleau, Howard Mario Narvaez, Kelly K. Hosokawa, Ryan A. Espiritu
  • Publication number: 20220103504
    Abstract: Methods are presented for classifying responses to communications. One method includes presenting, in a first user interface (UI), a message from a sender to a recipient requesting a response. The first UI includes response options of a first classification, a second classification, and an entry field for entering a free text message. Another operation is for receiving a recipient response with a selection of: (a) the first or the second button and (b) the free text message entered in the text entry field. The method further includes generating a featurized recipient response based on the free text message and the selection. An acceptance machine-learning (ML) model calculates a classification value of the recipient response from a set of possible classification values based on the featurized recipient response. The method further includes presenting, in a second UI for the sender, an indicator for the message and the calculated classification value.
    Type: Application
    Filed: September 30, 2020
    Publication date: March 31, 2022
    Inventors: Christian Wilhelm Kurt Byza, Jeffrey William Pasternack, Haowen Ning, Pujita Mathur, Yizhou Pan, Ngoc M. Vu, Akshaya Subbaraya Bhat, Arya Ghatak Choudhury, Jia Liu, Neil Cruz Pomerleau, Howard Mario Narvaez, Kelly K. Hosokawa, Ryan A. Espiritu
  • Publication number: 20200201488
    Abstract: In some embodiments, a computer system detects that a digital content item associated with a second user is to be displayed in a data feed of a first user, determines that the first user has a connection with the second user that satisfies a connection criteria that the connection be of at least a predetermined degree, causes a first selectable user interface element to be displayed in association with the digital content item in the data feed of the first user based on the determining that the first user has the connection with the second user that satisfies the connection criteria, and causes a message creation element to be displayed in response to the a user selection of the first selectable user interface element, with the message creation element comprising an address field that is auto-populated to identify the second user as the only recipient of a message.
    Type: Application
    Filed: December 21, 2018
    Publication date: June 25, 2020
    Inventors: Shu-Yi Zhou, Yizhou Pan, Adam Leon, Yitian Xu, Cameron Askew