Patents by Inventor Cyril ZHANG

Cyril ZHANG 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: 20250036196
    Abstract: Generally discussed herein are devices, systems, and methods for calibration of a gaze indicator. A method can include receiving gaze tracker output data that indicates a gaze location on a display at which a user is gazing, determining an expected gaze location to which the user is expected to gaze after the gaze location, receiving further gaze tracker output data that indicates a subsequent gaze location on the display at which the user is gazing, and adjusting, based on the subsequent gaze location and the expected gaze location, a location of a visual gaze indicator on the display.
    Type: Application
    Filed: October 23, 2023
    Publication date: January 30, 2025
    Inventors: Akanksha Saran, Jacob A. Alber, Danielle Karen Bragg, Cyril Zhang, John Carol Langford
  • Patent number: 11138513
    Abstract: A method of performing time series prediction by improper learning comprising calculating a plurality of filters based on a symmetric matrix and generating a mapping term based on a time series input and a function. The method may include comprising iteratively: transforming the function using the calculated plurality of filters; predicting an interim output using the transformed function and the mapping term; computing an error of the interim output based on a known output; and updating the mapping term based on the computed error. The method may include generating the mapping term through iterations over a predetermined interval and performing a time series prediction using the mapping term generated over the iterations.
    Type: Grant
    Filed: March 7, 2018
    Date of Patent: October 5, 2021
    Assignee: Princeton University
    Inventors: Elad Hazan, Karan Singh, Cyril Zhang
  • Publication number: 20180357554
    Abstract: A method of performing time series prediction by improper learning comprising calculating a plurality of filters based on a symmetric matrix and generating a mapping term based on a time series input and a function. The method may include comprising iteratively: transforming the function using the calculated plurality of filters; predicting an interim output using the transformed function and the mapping term; computing an error of the interim output based on a known output; and updating the mapping term based on the computed error. The method may include generating the mapping term through iterations over a predetermined interval and performing a time series prediction using the mapping term generated over the iterations.
    Type: Application
    Filed: March 7, 2018
    Publication date: December 13, 2018
    Inventors: Elad HAZAN, Karan SINGH, Cyril ZHANG