Patents by Inventor Yufan Zhou

Yufan Zhou 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: 20240127777
    Abstract: The present application relates to the technical field of computers, and discloses a method and apparatus for generating a music file, and an electronic device and a storage medium. The method for generating a music file comprises: obtaining a first image; performing feature extraction on the first image to obtain a salient feature of the first image; mapping the salient feature to a musical instrument digital interface (MIDI) information coordinate system on the basis of the position of the salient feature in the first image, so as to determine MIDI information corresponding to the salient feature, the MIDI information coordinate system being used for indicating a correspondence between MIDI information and time; and generating a music file on the basis of the correspondence between the MIDI information and the time.
    Type: Application
    Filed: December 19, 2023
    Publication date: April 18, 2024
    Inventors: Yufan XUE, Guanjun GUO, Xin YUAN, Yuezhao CHEN, Hao HUANG, Na LI, Xubin ZHOU
  • Publication number: 20230230198
    Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods that implement a neural network framework for interactive multi-round image generation from natural language inputs. Specifically, the disclosed systems provide an intelligent framework (i.e., a text-based interactive image generation model) that facilitates a multi-round image generation and editing workflow that comports with arbitrary input text and synchronous interaction. In particular embodiments, the disclosed systems utilize natural language feedback for conditioning a generative neural network that performs text-to-image generation and text-guided image modification. For example, the disclosed systems utilize a trained model to inject textual features from natural language feedback into a unified joint embedding space for generating text-informed style vectors. In turn, the disclosed systems can generate an image with semantically meaningful features that map to the natural language feedback.
    Type: Application
    Filed: January 14, 2022
    Publication date: July 20, 2023
    Inventors: Ruiyi Zhang, Yufan Zhou, Christopher Tensmeyer, Jiuxiang Gu, Tong Yu, Tong Sun
  • Patent number: 9816101
    Abstract: The invention provides methods of genetically modified plants to increase tolerance to drought and/or submergence. The invention additionally provides plants having increased drought and/or submergence tolerance engineered using such methods.
    Type: Grant
    Filed: August 28, 2015
    Date of Patent: November 14, 2017
    Assignee: The Regents of the University of California
    Inventors: Hewei Du, Yufan Zhou, Nir Oksenberg, Pamela Ronald
  • Publication number: 20160068855
    Abstract: The invention provides methods of genetically modified plants to increase tolerance to drought and/or submergence. The invention additionally provides plants having increased drought and/or submergence tolerance engineered using such methods.
    Type: Application
    Filed: August 28, 2015
    Publication date: March 10, 2016
    Inventors: Hewei Du, Yufan Zhou, Nir Oksenberg, Pamela Ronald