Patents by Inventor Xiaoyu Liu

Xiaoyu Liu 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: 11208404
    Abstract: Inhibitors of ALCAT1 are described having the general formula: (I). These compounds offer a treatment for aging and age-related diseases.
    Type: Grant
    Filed: March 29, 2018
    Date of Patent: December 28, 2021
    Assignee: PERENNA PHARMACEUTICALS, INC.
    Inventors: Yuguang Shi, Daqing Che, Jonathan Baell, Xiaoyu Liu, Jiasheng Fu
  • Publication number: 20210357192
    Abstract: Language interoperability between source code programs not compatible with an interprocedural static code analyzer is achieved through language-independent representations of the programs. The source code programs are transformed into respective intermediate language instructions from which a language-independent control flow graph and a language-independent type environment is created. A program compatible with the interprocedural static code analyzer is generated from the language-independent control flow graph and the language-independent type environment in order to utilize the interprocedural static code analyzer to detect memory safety faults.
    Type: Application
    Filed: May 13, 2020
    Publication date: November 18, 2021
    Inventors: SHAO KUN DENG, MATTHEW GLENN JIN, SHUVENDU LAHIRI, XIAOYU LIU, XIN SHI, NEELAKANTAN SUNDARESAN
  • Publication number: 20210357193
    Abstract: A code completion tool uses machine learning models to more precisely predict the likelihood of a method invocation completing a code fragment that follows one or more method invocations of different classes in a same document during program development. In one aspect, the machine learning model is a n-order Markov chain model that is trained on features that represent characteristics of the context of method invocations found in commonly-used programs from a sampled population. The machine learning model is implemented as a hash table contained a ranked order of hash values in descending order of probability of completing a partially-formed method invocation.
    Type: Application
    Filed: May 4, 2020
    Publication date: November 18, 2021
    Inventors: SHENGYU FU, XIAOYU LIU, NEELAKANTAN SUNDARESAN
  • Patent number: 11175897
    Abstract: Language interoperability between source code programs not compatible with an interprocedural static code analyzer is achieved through language-independent representations of the programs. The source code programs are transformed into respective intermediate language instructions from which a language-independent control flow graph and a language-independent type environment is created. A program compatible with the interprocedural static code analyzer is generated from the language-independent control flow graph and the language-independent type environment in order to utilize the interprocedural static code analyzer to detect memory safety faults.
    Type: Grant
    Filed: May 13, 2020
    Date of Patent: November 16, 2021
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC.
    Inventors: Shao Kun Deng, Matthew Glenn Jin, Shuvendu Lahiri, Xiaoyu Liu, Xin Shi, Neelakantan Sundaresan
  • Publication number: 20210279042
    Abstract: A code completion system uses neural components to rank the unordered list of code completion candidates generated from an existing static analyzer. The candidates represent the next sequence of tokens likely to complete a partially-formed program element as a developer is typing in a software development tool. A re-ranking component generates a ranked order of the candidates based on a context embedding of the code context and candidate embeddings of the candidates, where both embeddings are based a common token encoding.
    Type: Application
    Filed: June 15, 2020
    Publication date: September 9, 2021
    Inventors: MILTIADIS ALLAMANIS, SHENGYU FU, XIAOYU LIU, NEELAKANTAN SUNDARESAN, ALEXEY SVYATKOVSKIY
  • Publication number: 20210214682
    Abstract: Provided is a method of preparing chimeric antigen receptor T cells by serum-free culture. The method comprises steps of: (a) providing PBMC cells; (b) performing negative sorting treatment on the PBMC cells to obtain sorted PBMC cells; (c) activating the sorted PBMC cells to obtain activated T cells; (d) transfecting the activated T cells with a viral vector expressing a chimeric antigen receptor, so as to obtain transfected T cells; (e) removing the viruses from the transfected T cells to obtain virus-removed T cells; and (f) subjecting the virus-removed T cells to expansion culture to obtain chimeric antigen receptor T cells.
    Type: Application
    Filed: June 4, 2018
    Publication date: July 15, 2021
    Applicant: Cellular Biomedicine Group HK Limited
    Inventors: Dijun ZHAO, Chao LI, Fei WANG, Junfeng WU, Xiaoyu LIU, Jiawei ZHAO
  • Patent number: 11012716
    Abstract: A picture file processing method, apparatus, and computer readable medium are provided. The method includes parsing a picture file, to obtain a picture header information data segment, first stream data, and second stream data of a first image thereof. The first stream data of the first image is decoded to generate red-green-blue (RGB) data of the first image. The second stream data of the first image is decoded to generate Alpha data of the first image. Red-green-blue-alpha (RGBA) data corresponding to the first image are generated according to the RGB data and the Alpha data.
    Type: Grant
    Filed: April 3, 2019
    Date of Patent: May 18, 2021
    Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LTD
    Inventors: Shitao Wang, Xiaoyu Liu, Jiajun Chen, Xiaozheng Huang, Piao Ding, Haijun Liu, Binji Luo, Xinxing Chen
  • Patent number: 10976804
    Abstract: In some examples, a method comprises: obtaining, by an artificial reality system including a head mounted display (HMD), image data via an image capture device, the HMD configured to output artificial reality content; detecting, by the artificial reality system, a physical peripheral device from the image data; detecting, by the artificial reality system, a pose of the peripheral device; generating, by the artificial reality system, based on the pose of the peripheral device, a virtual pointer along at least a portion of a line between the peripheral device and a virtual surface, the virtual pointer pointing at a location of the virtual surface; performing, by the artificial reality system, one or more actions based on the location of the virtual surface; and rendering, by the artificial reality system, the virtual pointer and the virtual surface for display at the HMD.
    Type: Grant
    Filed: July 9, 2019
    Date of Patent: April 13, 2021
    Assignee: Facebook Technologies, LLC
    Inventors: Charlene Mary Atlas, Chad Austin Bramwell, Mark Terrano, Caryn Vainio, Xiaoyu Liu
  • Publication number: 20210069472
    Abstract: The present invention relates to a magnetic navigation-guided tear-away sheath for cardiac conduction bundle pacing, including a sheath body and a joint fixedly connected to a rear end of the sheath body. The sheath body includes a front flexible section and a rear fixed section, and the front flexible section is freely bendable. An outer surface near a head end of the front flexible section is provided with a plurality of pairs of half-ring magnets, two half-ring magnets in each pair of half-ring magnets are symmetrically disposed and form a ring, and a gap is kept between the two half-ring magnets. The head end of the front flexible section is provided with three electrodes uniformly disposed in a circumferential direction, and the three electrodes can be freely combined two by two, to form three electrode pairs used to record and position an intracardiac potential.
    Type: Application
    Filed: September 1, 2020
    Publication date: March 11, 2021
    Applicant: Wuxi People's Hospital
    Inventors: Changying Zhang, Shipeng Dang, Ruxing Wang, Kulin Li, Xiaoyu Liu, Jie Zheng
  • Patent number: 10939048
    Abstract: A method for automatic gain adjustment based on illuminance of video content and a camera are provided. The method includes arranging a first gain value for an image sensor according to a list of preset gain values; obtaining frequency domain data using frequency domain transformation on illuminance components of the image; setting a constant percentage value and summing up the percentage of the frequency domain data accumulated from the highest signal amplitude to obtain a first high frequency information cumulative value; repeating above steps according to a preset gain value arrangement order to obtain a number of high frequency information cumulative values; and using the gain value corresponding to a maximum high frequency information cumulative value in gain adjustment for the image sensor.
    Type: Grant
    Filed: July 29, 2020
    Date of Patent: March 2, 2021
    Assignee: Shenzhen Baichuan Security Technology Co., Ltd.
    Inventors: Rui Zhou, Xiaoyu Liu
  • Publication number: 20210035610
    Abstract: Automatically recommending sound effects based on visual scenes enables sound engineers during video production of computer simulations, such as movies and video games. This recommendation engine may be accomplished by classifying SFX and using a machine learning engine to output a first of the classified SFX for a first computer simulation based on learned correlations between video attributes of the first computer simulation and the classified SFX.
    Type: Application
    Filed: October 21, 2020
    Publication date: February 4, 2021
    Inventors: Sudha Krishnamurthy, Xiaoyu Liu
  • Patent number: 10870953
    Abstract: A sustainable pavement is constructed by creating a construction structure for a hot mix asphalt (HMA) pavement according to a pavement project; calculating a greenhouse gas (GHG) emission of the HMA pavement; performing a sustainable construction on the HMA pavement to modify one or more layers in the HMA pavement to form a sustainably constructed pavement; calculating a GHG emission of the sustainably constructed pavement; and obtaining a carbon reduction by comparing the GHG emissions of the HMA pavement and the sustainably constructed pavement.
    Type: Grant
    Filed: May 18, 2018
    Date of Patent: December 22, 2020
    Inventors: Qingbin Cui, Harold Green, Xiaoyu Liu, David F Choy
  • Patent number: 10847186
    Abstract: Automatically recommending sound effects based on visual scenes enables sound engineers during video production of computer simulations, such as movies and video games. This recommendation engine may be accomplished by classifying SFX and using a machine learning engine to output a first of the classified SFX for a first computer simulation based on learned correlations between video attributes of the first computer simulation and the classified SFX.
    Type: Grant
    Filed: April 30, 2019
    Date of Patent: November 24, 2020
    Assignee: Sony Interactive Entertainment Inc.
    Inventors: Sudha Krishnamurthy, Xiaoyu Liu
  • Publication number: 20200362425
    Abstract: The disclosure relates to bacillus having an effect of inducing corn to resist Northern leaf blight and applications of the bacillus. The bacillus having an effect of inducing corn to resist Northern corn leaf blight is Bacillus megaterium which was deposited on Apr. 16, 2019 with a deposit number of CGMCC No. 17573. The Bacillus megaterium of the disclosure can induce corn to generate resistance to Northern corn leaf blight during seed germination and corn growth to activate the immune response of corns and stimulate immune control of Northern leaf blight of corn. The method described herein is long in coming does not pollute environment and soil, is a green, simplified and new control method of Northern leaf blight of corn, and has wide application and popularization prospect.
    Type: Application
    Filed: April 3, 2020
    Publication date: November 19, 2020
    Applicant: Shenyang Agricultural University
    Inventors: Yuxi DUAN, Ning LIU, Lijie CHEN, Xiaofeng ZHU, Haiyan FAN, Yuanyuan WANG, Xiaoyu LIU, Jichen YAN
  • Publication number: 20200349975
    Abstract: Automatically recommending sound effects based on visual scenes enables sound engineers during video production of computer simulations, such as movies and video games. This recommendation engine may be accomplished by classifying SFX and using a machine learning engine to output a first of the classified SFX for a first computer simulation based on learned correlations between video attributes of the first computer simulation and the classified SFX.
    Type: Application
    Filed: April 30, 2019
    Publication date: November 5, 2020
    Inventors: Sudha Krishnamurthy, Xiaoyu Liu
  • Patent number: 10773078
    Abstract: Provided is a wire fixing device for a cardiac pacemaker electrodes, including: an electrode fixator having an electrode clamping component, first hooks and second hooks; the electrode clamping component includes a first clamping piece and a second clamping piece that are semicircular cylindrical, the first clamping piece and the second clamping piece are connected by a clamp hinge connector, and a circular tube is formed when the electrode clamping component is closed; first hooks are provided on the back of the first clamping piece, second hooks are provided on the back of the second clamping piece, and hook tips of the first and second hooks are all bent towards a rotation direction of the electrode clamping component during closing; and the first and second hooks can be interlaced with each other when the electrode clamping component is closed, and can be separated when the electrode clamping component is open.
    Type: Grant
    Filed: March 14, 2018
    Date of Patent: September 15, 2020
    Assignee: Wuxi People's Hospital
    Inventors: Changying Zhang, Shipeng Dang, Ruxing Wang, Zhiming Yu, Kulin Li, Jie Zheng, Xiaoyu Liu, Xiaoyan Li, Zhenye Zhang
  • Publication number: 20200272443
    Abstract: A code completion tool uses machine learning models to more precisely predict the likelihood of a method invocation completing a code fragment that follows one or more method invocations of different classes in a same document during program development. In one aspect, the machine learning model is a n-order Markov chain model that is trained on features that represent characteristics of the context of method invocations found in commonly-used programs from a sampled population. The machine learning model is implemented as a hash table contained a ranked order of hash values in descending order of probability of completing a partially-formed method invocation.
    Type: Application
    Filed: May 4, 2020
    Publication date: August 27, 2020
    Inventors: SHENGYU FU, XIAOYU LIU, NEELAKANTAN SUNDARESAN
  • Publication number: 20200146578
    Abstract: A deformable high-density and precision balloon cardiac mapping catheter includes a catheter, an electrode head mounted at one end of the catheter, and a handle mounted at the other end of the catheter. A head electrode pair, a middle expansion body and a rear expansion body are sequentially disposed on the electrode head from left to right. A liquid storage apparatus is disposed on a surface of the handle. The liquid storage apparatus includes a reservoir tube. A liquid outlet is disposed at one end of the reservoir tube.
    Type: Application
    Filed: November 1, 2019
    Publication date: May 14, 2020
    Applicant: Wuxi People's Hospital
    Inventors: Shipeng Dang, Ruxing Wang, Changying Zhang, Kulin Li, Jie Zheng, Xiaoyu Liu
  • Publication number: 20200143005
    Abstract: Computing systems and technical methods that transform data structures and pierce opacity difficulties associated with complex machine learning modules are disclosed. Advances include a framework and techniques that include: i) global diagnostics; ii) locally interpretable models LIME-SUP-R and LIME-SUP-D; and iii) explainable neural networks. Advances also include integrating LIME-SUP-R and LIME-SUP-D approaches that create a transformed data structure and replicated modeling over local and global effects and that yield high interpretability along with high accuracy of the replicated complex machine learning modules that make up a machine learning application.
    Type: Application
    Filed: November 2, 2018
    Publication date: May 7, 2020
    Inventors: Vijayan N. Nair, Agus Sudjianto, Jie Chen, Kurt Schieding, Linwei Hu, Xiaoyu Liu, Joel Vaughan
  • Publication number: 20200134444
    Abstract: A domain adaptation module is used to optimize a first domain derived from a second domain using respective outputs from respective parallel hidden layers of the domains.
    Type: Application
    Filed: October 31, 2018
    Publication date: April 30, 2020
    Inventors: Ruxin Chen, Min-Hung Chen, Jaekwon Yoo, Xiaoyu Liu