Patents by Inventor Pengfei Tian

Pengfei Tian 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: 20240118136
    Abstract: A frequency synthesis system and a frequency generation method of microwave photons based on photoelectric synergy are provided, the system includes an optical frequency comb for generating narrow optical pulse signals with high stability and low phase noise through; an optical frequency doubling/dividing unit for performing frequency doubling or frequency dividing on a repetition frequency of the narrow optical pulse signals output by the optical frequency comb; a photoelectric conversion unit for performing photoelectric conversion on input optical pulse signals, and outputting an electrical frequency comb; a second electrical filter unit for filtering input electrical signals; and a second electrical amplifying unit for performing power amplification on the input electrical signals.
    Type: Application
    Filed: February 28, 2023
    Publication date: April 11, 2024
    Inventors: HAO ZHANG, BOTAO WANG, SIYU TIAN, GENYUAN YANG, PENGFEI QU
  • Publication number: 20240035005
    Abstract: The present invention relates to variants of a parent lipase having reduced odor generation and/or wash performance. The present invention also relates to compositions comprising a lipase variant of the invention, methods and uses of the variants and compositions of the invention, polynucleotides, constructs, expression vectors and host cells comprising the polynucleotide of the invention and methods of producing the lipase variant of the invention.
    Type: Application
    Filed: October 28, 2021
    Publication date: February 1, 2024
    Applicant: Novozymes A/S
    Inventors: Sune Fang Christensen, Vibeke Svovgaard Nielsen, Lone Baunsgaard, Jesper Vind, Lars Iversen, Matias Emil Moses, Cesar Lene Bjorg, PengFei Tian
  • Publication number: 20230143128
    Abstract: Disclosed are carbohydrate binding module variants, as well as variants of a glycoside hydrolase comprising the carbohydrate binding module variants. The variants having glycoside hydrolase activity comprising the carbohydrate binding module variants have improved stability in the presence of a protease, and are useful in detergent applications, such as laundry or dish wash.
    Type: Application
    Filed: April 7, 2021
    Publication date: May 11, 2023
    Applicant: Novozymes A/S
    Inventors: Kenneth Jensen, Lars Anderson, Svend Gunnar Kaasgaard, Jonatan Ulrik Fangel, Frank Winther Rasmussen, Pengfei Tian, Christian Isak Joergensen
  • Publication number: 20200334676
    Abstract: Embodiments of the present disclosure disclose an information recommendation method and apparatus, a device and a medium, which relate to the field of information technologies. The method includes: determining, according to a user characteristic, at least one historical user similar to a target user as a reference user; determining a target type of objects associated with historical behaviors of the reference user as candidate objects; determining weights of the candidate objects according to the historical behaviors of the reference user on the candidate objects, weights of the historical behaviors and a similarity between the reference user and the target user; and recommending the target type of objects to the target user according to the weights of the candidate objects.
    Type: Application
    Filed: March 25, 2020
    Publication date: October 22, 2020
    Inventors: Yanhe WANG, Pengfei TIAN, Lingpeng FANG, Qing LI, Shuping ZHOU
  • Publication number: 20190392258
    Abstract: Embodiments of the present disclosure disclose a method and apparatus for generating information. The method for generating information includes: acquiring original data and tag data corresponding to the original data; encoding the original data and the tag data using a plurality of encoding algorithms to obtain a multi-dimensional feature encoding sequence; pre-training a machine learning model using the multi-dimensional feature encoding sequence; and determining a multi-dimensional feature encoding for training the machine learning model corresponding to the original data, based on evaluation data for the pre-trained machine learning model.
    Type: Application
    Filed: September 9, 2019
    Publication date: December 26, 2019
    Inventors: Haocheng Liu, Jihong Zhang, Pengfei Tian