Patents by Inventor Pei Zhao

Pei Zhao 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: 10385061
    Abstract: A compound and use thereof are provided. The compound of the invention has formula I shown below. Each variable in formula I, is defined in the specification. The invention also provides a method for treating renal and cardiac dysfunction. The method includes administering to a subject in need thereof an effective amount of the compound of the invention and a pharmaceutical acceptable salt and carrier.
    Type: Grant
    Filed: September 22, 2017
    Date of Patent: August 20, 2019
    Assignee: Phytohealth Corporation
    Inventors: Kuo-Hsiung Lee, Rong-Tsun Wu, Xiao-Ming Yang, Yu Zhao, Lin-Yea Horng, Hui-Ching Sung, Pei-Lun Hsu, Chien-Hsin Cheng, Yi-Li Lee
  • Patent number: 10377833
    Abstract: The present invention relates to humanized bispecific anti-HER2 antibodies that comprise one antigen binding site containing variable regions of heavy and light chain of trastuzumab, and another antigen binding site containing variable regions of heavy and light chain of pertuzumab. The bispecific anti-HER2 antibodies is effective for treating cancer, such as breast cancer, gastric cancer, or ovarian cancer. Preferred bispecific anti-HER antibodies of the present invention are afucosylated antibodies. The present invention also relates to Chinese Hamster ovary (CHO) mutant cell line that has a dysfunctional Slc35C1 gene, which is the only dysfunctional gene in the mutant that affects glycan regulation.
    Type: Grant
    Filed: July 21, 2017
    Date of Patent: August 13, 2019
    Assignee: Beijing Mabworks Biotech Co., Ltd.
    Inventors: Feng Li, Boyan Zhang, Pei Ye, Jian Zhao, Sijia Huang, Chunyang Jin
  • Patent number: 10355104
    Abstract: Methods of forming a field-effect transistor and structures for a field-effect transistor. A gate structure is formed that overlaps with a channel region beneath a top surface of a semiconductor fin. The semiconductor fin is etched with an anisotropic etching process to form a cavity having a sidewall with a planar section extending vertically toward the top surface of the semiconductor fin and adjacent to the channel region in the semiconductor fin. The semiconductor fin is then etched with an isotropic etching process that widens the cavity at the top surface while preserving verticality of the planar section.
    Type: Grant
    Filed: October 27, 2017
    Date of Patent: July 16, 2019
    Assignee: GLOBALFOUNDRIES Inc.
    Inventors: Yi Qi, Sang Woo Lim, Kyung-Bum Koo, Alina Vinslava, Pei Zhao, Zhenyu Hu, Hsien-Ching Lo, Joseph F. Shepard, Jr., Shesh Mani Pandey
  • Publication number: 20190163846
    Abstract: A method using drive test data for propagation model calibration includes: step 1, obtaining original drive test data; step 2, selecting the data from the drive test data according to predefined conditions as effective drive test data; and step 3, extracting the effective drive test data to form a data file used for propagation model calibration. An apparatus using drive test data for propagation model calibration includes: a drive test data obtaining module, configured to obtain the drive test data in the regions to be calibrated; an effective drive test data generation module, configured to generate effective drive test data from the drive test data according to predefined conditions; and a data file generation module, configured to extract the effective drive test data to form a data file used for propagation model calibration. The present invention utilizes drive test data of existing networks to largely decrease the CW test work and reduce the network building cost.
    Type: Application
    Filed: May 29, 2018
    Publication date: May 30, 2019
    Inventors: Yusheng Zhang, Sheng Zhou, Chenguang Wei, Li Zhang, Peng Gao, Wuije Hu, Yanyun Zhu, Wenhua Ma, Pei Zhao, Yaxi Hu, Hongbin Jin, Jing Yuan, Bin Zhang, Hanhui Wei, Hai Fu
  • Publication number: 20190131432
    Abstract: Methods of forming a field-effect transistor and structures for a field-effect transistor. A gate structure is formed that overlaps with a channel region beneath a top surface of a semiconductor fin. The semiconductor fin is etched with an anisotropic etching process to form a cavity having a sidewall with a planar section extending vertically toward the top surface of the semiconductor fin and adjacent to the channel region in the semiconductor fin. The semiconductor fin is then etched with an isotropic etching process that widens the cavity at the top surface while preserving verticality of the planar section.
    Type: Application
    Filed: October 27, 2017
    Publication date: May 2, 2019
    Inventors: Yi Qi, Sang Woo Lim, Kyung-Bum Koo, Alina Vinslava, Pei Zhao, Zhenyu Hu, Hsien-Ching Lo, Joseph F. Shepard, JR., Shesh Mani Pandey
  • Patent number: 10164099
    Abstract: One illustrative device disclosed herein includes, among other things, a fin defined on a substrate. A gate electrode structure is positioned above the fin in a channel region. A source/drain region is defined in the fin. The source/drain region includes a first epitaxial semiconductor material. The first epitaxial semiconductor material includes a dopant species having a first concentration. A diffusion blocking layer is positioned above the first epitaxial semiconductor material. A second epitaxial semiconductor material is positioned above the diffusion blocking layer. The second epitaxial semiconductor material includes the dopant species having a second concentration greater than the first concentration.
    Type: Grant
    Filed: February 6, 2018
    Date of Patent: December 25, 2018
    Assignee: GLOBALFOUNDRIES Inc.
    Inventors: Shesh Mani Pandey, Pei Zhao, Baofu Zhu, Francis L. Benistant
  • Patent number: 10127901
    Abstract: The technology relates to converting text to speech utilizing recurrent neural networks (RNNs). The recurrent neural networks may be implemented as multiple modules for determining properties of the text. In embodiments, a part-of-speech RNN module, letter-to-sound RNN module, a linguistic prosody tagger RNN module, and a context awareness and semantic mining RNN module may all be utilized. The properties from the RNN modules are processed by a hyper-structure RNN module that determine the phonetic properties of the input text based on the outputs of the other RNN modules. The hyper-structure RNN module may generate a generation sequence that is capable of being converting to audible speech by a speech synthesizer. The generation sequence may also be optimized by a global optimization module prior to being synthesized into audible speech.
    Type: Grant
    Filed: June 13, 2014
    Date of Patent: November 13, 2018
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Pei Zhao, Max Leung, Kaisheng Yao, Bo Yan, Sheng Zhao, Fileno A. Alleva
  • Patent number: 10089974
    Abstract: An example text-to-speech learning system performs a method for generating a pronunciation sequence conversion model. The method includes generating a first pronunciation sequence from a speech input of a training pair and generating a second pronunciation sequence from a text input of the training pair. The method also includes determining a pronunciation sequence difference between the first pronunciation sequence and the second pronunciation sequence; and generating a pronunciation sequence conversion model based on the pronunciation sequence difference. An example speech recognition learning system performs a method for generating a pronunciation sequence conversion model. The method includes extracting an audio signal vector from a speech input and applying an audio signal conversion model to the audio signal vector to generate a converted audio signal vector. The method also includes adapting an acoustic model based on the converted audio signal vector to generate an adapted acoustic model.
    Type: Grant
    Filed: March 31, 2016
    Date of Patent: October 2, 2018
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Pei Zhao, Kaisheng Yao, Max Leung, Bo Yan
  • Patent number: 10056486
    Abstract: Methods to reduce a width of a channel region of Si fins and the resulting devices are disclosed. Embodiments include forming a Si fin in a Si layer; forming a channel region over the Si fin including a dummy gate with a spacer on each side; forming S/D regions at opposite ends of the Si fin; removing the dummy gate, forming a cavity; thinning sidewalls of the Si fin; and forming a high-k/metal gate in the cavity.
    Type: Grant
    Filed: March 24, 2016
    Date of Patent: August 21, 2018
    Assignee: GLOBALFOUNDRIES INC.
    Inventors: Shesh Mani Pandey, Pei Zhao, Zhenyu Hu
  • Publication number: 20180175198
    Abstract: One illustrative device disclosed herein includes, among other things, a fin defined on a substrate. A gate electrode structure is positioned above the fin in a channel region. A source/drain region is defined in the fin. The source/drain region includes a first epitaxial semiconductor material. The first epitaxial semiconductor material includes a dopant species having a first concentration. A diffusion blocking layer is positioned above the first epitaxial semiconductor material. A second epitaxial semiconductor material is positioned above the diffusion blocking layer. The second epitaxial semiconductor material includes the dopant species having a second concentration greater than the first concentration.
    Type: Application
    Filed: February 6, 2018
    Publication date: June 21, 2018
    Inventors: Shesh Mani Pandey, Pei Zhao, Baofu Zhu, Francis L. Benistant
  • Patent number: 9947788
    Abstract: A method includes forming a gate electrode structure above a channel region defined in a semiconductor material. The semiconductor material is recessed in a source/drain region. A first material is epitaxially grown in the source/drain region. The first material includes a dopant species having a first concentration. A diffusion blocking layer is formed in the source/drain region above the first material. A second material is epitaxially grown in the source/drain region above the diffusion blocking layer. The second material comprises the dopant species having a second concentration greater than the first concentration.
    Type: Grant
    Filed: February 9, 2016
    Date of Patent: April 17, 2018
    Assignee: GLOBALFOUNDRIES Inc.
    Inventors: Shesh Mani Pandey, Pei Zhao, Baofu Zhu, Francis L. Benistant
  • Patent number: 9906584
    Abstract: A terminal device, system and method for accessing a virtual desktop, the terminal device includes: a plurality of peripheral interface groups, configured to connect with a plurality of peripheral groups, wherein each of the peripheral groups comprises one or more input apparatus; a plurality of virtual machines, configured to control corresponding desktops supplied by a virtual desktop server system according to operating data input by the peripheral groups; and a network interface, configured to connect with the virtual desktop server system. With the above terminal device, system and method, the cost of the current virtual desktop system can be reduced effectively.
    Type: Grant
    Filed: August 23, 2013
    Date of Patent: February 27, 2018
    Assignee: ZTE Corporation
    Inventors: Hengsheng Zhang, Pei Zhao, Zhiping Wang, Mingdong Li, Xiaohua Chen
  • Publication number: 20170287465
    Abstract: An example text-to-speech learning system performs a method for generating a pronunciation sequence conversion model. The method includes generating a first pronunciation sequence from a speech input of a training pair and generating a second pronunciation sequence from a text input of the training pair. The method also includes determining a pronunciation sequence difference between the first pronunciation sequence and the second pronunciation sequence; and generating a pronunciation sequence conversion model based on the pronunciation sequence difference. An example speech recognition learning system performs a method for generating a pronunciation sequence conversion model. The method includes extracting an audio signal vector from a speech input and applying an audio signal conversion model to the audio signal vector to generate a converted audio signal vector. The method also includes adapting an acoustic model based on the converted audio signal vector to generate an adapted acoustic model.
    Type: Application
    Filed: March 31, 2016
    Publication date: October 5, 2017
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Pei Zhao, Kaisheng Yao, Max Leung, Bo Yan
  • Publication number: 20170278965
    Abstract: Methods to reduce a width of a channel region of Si fins and the resulting devices are disclosed. Embodiments include forming a Si fin in a Si layer; forming a channel region over the Si fin including a dummy gate with a spacer on each side; forming S/D regions at opposite ends of the Si fin; removing the dummy gate, forming a cavity; thinning sidewalls of the Si fin; and forming a high-k/metal gate in the cavity.
    Type: Application
    Filed: March 24, 2016
    Publication date: September 28, 2017
    Inventors: Shesh Mani PANDEY, Pei ZHAO, Zhenyu HU
  • Publication number: 20170245022
    Abstract: A splicing method and splicing system are described for HTTP live streaming media fragmentation.
    Type: Application
    Filed: June 30, 2015
    Publication date: August 24, 2017
    Applicant: ZTE CORPORATION
    Inventors: Jindong WANG, Guangliang CHEN, Pei ZHAO
  • Publication number: 20170228476
    Abstract: A method using drive test data for propagation model calibration includes: step 1, obtaining original drive test data; step 2, selecting the data from the drive test data according to predefined conditions as effective drive test data; and step 3, extracting the effective drive test data to form a data file used for propagation model calibration. An apparatus using drive test data for propagation model calibration includes: a drive test data obtaining module, configured to obtain the drive test data in the regions to be calibrated; an effective drive test data generation module, configured to generate effective drive test data from the drive test data according to predefined conditions; and a data file generation module, configured to extract the effective drive test data to form a data file used for propagation model calibration. The present invention utilizes drive test data of existing networks to largely decrease the CW test work and reduce the network building cost.
    Type: Application
    Filed: August 16, 2016
    Publication date: August 10, 2017
    Inventors: Yusheng Zhang, Sheng Zhou, Chenguang Wei, Li Zhang, Peng Gao, Wuije Hu, Yanyun Zhu, Wenhua Ma, Pei Zhao, Yaxi Hu, Hongbin Jin, Jing Yuan, Bin Zhang, Hanhui Wei, Hai Fu
  • Publication number: 20170229578
    Abstract: A method includes forming a gate electrode structure above a channel region defined in a semiconductor material. The semiconductor material is recessed in a source/drain region. A first material is epitaxially grown in the source/drain region. The first material includes a dopant species having a first concentration. A diffusion blocking layer is formed in the source/drain region above the first material. A second material is epitaxially grown in the source/drain region above the diffusion blocking layer. The second material comprises the dopant species having a second concentration greater than the first concentration.
    Type: Application
    Filed: February 9, 2016
    Publication date: August 10, 2017
    Inventors: Shesh Mani Pandey, Pei Zhao, Baofu Zhu, Francis L. Benistant
  • Patent number: 9293129
    Abstract: Pronunciation issues for synthesized speech are automatically detected using human recordings as a reference within a Speech Recognition Assisted Evaluation (SRAE) framework including a Text-To-Speech flow and a Speech Recognition (SR) flow. A pronunciation issue detector evaluates results obtained at multiple levels of the TTS flow and the SR flow (e.g. phone, word, and signal level) by using the corresponding human recordings as the reference for the synthesized speech, and outputs possible pronunciation issues. A signal level may be used to determine similarities/differences between the recordings and the TTS output. A model level checker may provide results to the pronunciation issue detector to check the similarities of the TTS and the SR phone set including mapping relations. Results from a comparison of the SR output and the recordings may also be evaluation by the pronunciation issue detector. The pronunciation issue detector outputs a list that lists potential pronunciation issue candidates.
    Type: Grant
    Filed: March 5, 2013
    Date of Patent: March 22, 2016
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Pei Zhao, Bo Yan, Lei He, Zhe Geng, Yiu-Ming Leung
  • Publication number: 20150364128
    Abstract: The technology relates to converting text to speech utilizing recurrent neural networks (RNNs). The recurrent neural networks may be implemented as multiple modules for determining properties of the text. In embodiments, a part-of-speech RNN module, letter-to-sound RNN module, a linguistic prosody tagger RNN module, and a context awareness and semantic mining RNN module may all be utilized. The properties from the RNN modules are processed by a hyper-structure RNN module that determine the phonetic properties of the input text based on the outputs of the other RNN modules. The hyper-structure RNN module may generate a generation sequence that is capable of being converting to audible speech by a speech synthesizer. The generation sequence may also be optimized by a global optimization module prior to being synthesized into audible speech.
    Type: Application
    Filed: June 13, 2014
    Publication date: December 17, 2015
    Applicant: MICROSOFT CORPORATION
    Inventors: Pei Zhao, Max Leung, Kaisheng Yao, Bo Yan, Sheng Zhao, Fileno A. Alleva
  • Publication number: 20150364127
    Abstract: The technology relates to performing letter-to-sound conversion utilizing recurrent neural networks (RNNs). The RNNs may be implemented as RNN modules for letter-to-sound conversion. The RNN modules receive text input and convert the text to corresponding phonemes. In determining the corresponding phonemes, the RNN modules may analyze the letters of the text and the letters surrounding the text being analyzed. The RNN modules may also analyze the letters of the text in reverse order. The RNN modules may also receive contextual information about the input text. The letter-to-sound conversion may then also be based on the contextual information that is received. The determined phonemes may be utilized to generate synthesized speech from the input text.
    Type: Application
    Filed: June 13, 2014
    Publication date: December 17, 2015
    Applicant: MICROSOFT CORPORATION
    Inventors: Pei Zhao, Kaisheng Yao, Max Leung, Mei-Yuh Hwang, Sheng Zhao, Bo Yan, Geoffrey Zweig, Fileno A. Alleva