Patents by Inventor Li Jing

Li Jing 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: 11286309
    Abstract: The invention discloses a brand-new PCSK9 antibody. The PCSK9 antibody is sieved through a phage display technology, then a full-length gene sequence is obtained through a gene engineering technology, and applied to preparation of the antibody, and the prepared antibody is high in yield and short in period and is a humanized antibody. The invention further discloses an anti-tumor effect of the antihuman PCSK9 antibody, which expands the way of thinking for research on occurrence and development of tumors in the future, and lays foundations for preparing the antihuman PCSK9 antibody into monoclonal antibody medicines used for treating tumors in the later period.
    Type: Grant
    Filed: January 2, 2020
    Date of Patent: March 29, 2022
    Assignee: ZHEJIANG BLUE SHIELD PHARMACEUTICAL CO., LTD.
    Inventors: Zhigang Guo, Li Jing, Ali Wajid
  • Patent number: 11281972
    Abstract: Systems and methods that include: providing input information in an electronic format; converting at least a part of the electronic input information into an optical input vector; optically transforming the optical input vector into an optical output vector based on an optical matrix multiplication; converting the optical output vector into an electronic format; and electronically applying a non-linear transformation to the electronically converted optical output vector to provide output information in an electronic format. In some examples, a set of multiple input values are encoded on respective optical signals carried by optical waveguides. For each of at least two subsets of one or more optical signals, a corresponding set of one or more copying modules splits the subset of one or more optical signals into two or more copies of the optical signals.
    Type: Grant
    Filed: April 20, 2020
    Date of Patent: March 22, 2022
    Assignee: Lightelligence PTE. Ltd.
    Inventors: Yichen Shen, Li Jing, Rumen Dangovski, Peng Xie, Huaiyu Meng, Matthew Khoury, Cheng-Kuan Lu, Ronald Gagnon, Maurice Steinman, Jianhua Wu, Arash Hosseinzadeh
  • Publication number: 20220012619
    Abstract: A photonic parallel network can be used to sample combinatorially hard distributions of Ising problems. The photonic parallel network, also called a photonic processor, finds the ground state of a general Ising problem and can probe critical behaviors of universality classes and their critical exponents. In addition to the attractive features of photonic networks—passivity, parallelization, high-speed and low-power—the photonic processor exploits dynamic noise that occurs during the detection process to find ground states more efficiently.
    Type: Application
    Filed: April 26, 2021
    Publication date: January 13, 2022
    Applicant: Massachusetts Institute of Technology
    Inventors: Charles ROQUES-CARMES, Yichen Shen, Li JING, Tena DUBCEK, Scott A. SKIRLO, Hengameh BAGHERIANLEMRASKI, Marin SOLJACIC
  • Patent number: 11017309
    Abstract: A photonic parallel network can be used to sample combinatorially hard distributions of Ising problems. The photonic parallel network, also called a photonic processor, finds the ground state of a general Ising problem and can probe critical behaviors of universality classes and their critical exponents. In addition to the attractive features of photonic networks—passivity, parallelization, high-speed and low-power—the photonic processor exploits dynamic noise that occurs during the detection process to find ground states more efficiently.
    Type: Grant
    Filed: July 11, 2018
    Date of Patent: May 25, 2021
    Assignee: Massachusetts Institute of Technology
    Inventors: Charles Roques-Carmes, Yichen Shen, Li Jing, Tena Dubcek, Scott A. Skirlo, Hengameh Bagherianlemraski, Marin Soljacic
  • Publication number: 20200250534
    Abstract: Systems and methods that include: providing input information in an electronic format; converting at least a part of the electronic input information into an optical input vector; optically transforming the optical input vector into an optical output vector based on an optical matrix multiplication; converting the optical output vector into an electronic format; and electronically applying a non-linear transformation to the electronically converted optical output vector to provide output information in an electronic format. In some examples, a set of multiple input values are encoded on respective optical signals carried by optical waveguides. For each of at least two subsets of one or more optical signals, a corresponding set of one or more copying modules splits the subset of one or more optical signals into two or more copies of the optical signals.
    Type: Application
    Filed: April 20, 2020
    Publication date: August 6, 2020
    Inventors: Yichen Shen, Li Jing, Rumen Dangovski, Peng Xie, Huaiyu Meng, Matthew Khoury, Cheng-Kuan Lu, Ronald Gagnon, Maurice Steinman, Jianhua Wu, Arash Hosseinzadeh
  • Publication number: 20200250533
    Abstract: Systems and methods that include: providing input information in an electronic format; converting at least a part of the electronic input information into an optical input vector; optically transforming the optical input vector into an optical output vector based on an optical matrix multiplication; converting the optical output vector into an electronic format; and electronically applying a non-linear transformation to the electronically converted optical output vector to provide output information in an electronic format. In some examples, a set of multiple input values are encoded on respective optical signals carried by optical waveguides. For each of at least two subsets of one or more optical signals, a corresponding set of one or more copying modules splits the subset of one or more optical signals into two or more copies of the optical signals.
    Type: Application
    Filed: April 20, 2020
    Publication date: August 6, 2020
    Inventors: Yichen Shen, Li Jing, Rumen Dangovski, Peng Xie, Huaiyu Meng, Matthew Khoury, Cheng-Kuan Lu, Ronald Gagnon, Maurice Steinman, Jianhua Wu, Arash Hosseinzadeh
  • Publication number: 20200250532
    Abstract: Systems and methods that include: providing input information in an electronic format; converting at least a part of the electronic input information into an optical input vector; optically transforming the optical input vector into an optical output vector based on an optical matrix multiplication; converting the optical output vector into an electronic format; and electronically applying a non-linear transformation to the electronically converted optical output vector to provide output information in an electronic format. In some examples, a set of multiple input values are encoded on respective optical signals carried by optical waveguides. For each of at least two subsets of one or more optical signals, a corresponding set of one or more copying modules splits the subset of one or more optical signals into two or more copies of the optical signals.
    Type: Application
    Filed: April 20, 2020
    Publication date: August 6, 2020
    Inventors: Yichen Shen, Li Jing, Rumen Dangovski, Peng Xie, Huaiyu Meng, Matthew Khoury, Cheng-Kuan Lu, Ronald Gagnon, Maurice Steinman, Jianhua Wu, Arash Hosseinzadeh
  • Publication number: 20200250518
    Abstract: Data to be processed includes vector element values of an input vector and matrix element values of a model matrix associated with a neural network model. A vector-matrix multiplication module receives a set of matrix element values for performing a vector-matrix multiplication operation. Processing the data includes computing a plurality of intermediate vectors based on element-wise vector multiplication between different subsets of the vector element values and different respective pre-processing vectors. The vector-matrix multiplication module is loaded with a core matrix, and the input vector is multiplied by the model matrix based on separately multiplying each of the intermediate vectors by the loaded core matrix.
    Type: Application
    Filed: January 31, 2020
    Publication date: August 6, 2020
    Inventors: Matthew Raja Khoury, Rumen Rumenov Dangovski, Longwu Ou, Yichen Shen, Li Jing
  • Publication number: 20200242472
    Abstract: Systems and methods that include: providing input information in an electronic format; converting at least a part of the electronic input information into an optical input vector; optically transforming the optical input vector into an optical output vector based on an optical matrix multiplication; converting the optical output vector into an electronic format; and electronically applying a non-linear transformation to the electronically converted optical output vector to provide output information in an electronic format. In some examples, a set of multiple input values are encoded on respective optical signals carried by optical waveguides. For each of at least two subsets of one or more optical signals, a corresponding set of one or more copying modules splits the subset of one or more optical signals into two or more copies of the optical signals.
    Type: Application
    Filed: April 20, 2020
    Publication date: July 30, 2020
    Inventors: Yichen Shen, Li Jing, Rumen Dangovski, Peng Xie, Huaiyu Meng, Matthew Khoury, Cheng-Kuan Lu, Ronald Gagnon, Maurice Steinman, Jianhua Wu, Arash Hosseinzadeh
  • Publication number: 20200223943
    Abstract: The invention discloses a brand-new PCSK9 antibody. The PCSK9 antibody is sieved through a phage display technology, then a full-length gene sequence is obtained through a gene engineering technology, and applied to preparation of the antibody, and the prepared antibody is high in yield and short in period and is a humanized antibody. The invention further discloses an anti-tumor effect of the antihuman PCSK9 antibody, which expands the way of thinking for research on occurrence and development of tumors in the future, and lays foundations for preparing the antihuman PCSK9 antibody into monoclonal antibody medicines used for treating tumors in the later period.
    Type: Application
    Filed: January 2, 2020
    Publication date: July 16, 2020
    Inventors: Zhigang Guo, Li Jing, Ali Wajid
  • Publication number: 20200075816
    Abstract: A light emitting diode (LED) apparatus is described that applies plasmonic nanoparticles to enhance multicolor emitting materials, such as quantum dots (QDs) or fluorophores, in the color conversion layer of micro-LED and suppress the UV transmission. The metal nanoparticles, including but not limited to, aluminum, gold, copper, platinum, and silver have surface plasmon resonances in or close to the wavelength of excitation light or the wavelength of emission colors. UV or blue excitation over a color conversion layer formed by the mixture of emitting materials and scattering nanoparticles leads to enhancement of emission and thus increase in their quantum efficiency. An excitation filter is also used with in the LED apparatus to block the transmission of UV or blue excitation.
    Type: Application
    Filed: August 23, 2019
    Publication date: March 5, 2020
    Applicant: Oregon State University
    Inventors: Li-Jing Cheng, Akash Kannegulla
  • Patent number: 10557820
    Abstract: A DNA/RNA detection technology is provided. The open flow detection technique includes a substrate defining a pair of opposing microchannels, a pair of opposing electrodes in the opposing microchannels, and at least one ion exchanging nanomembrane coupled between the opposing microchannels such that the opposing microchannels are connected to each other only through the nanomembrane, wherein the nanomembrane is functionalized with a probe complementary to the macromolecule. A voltammeter is provided to measure the electrical current or potential across the nanomembrane, and detect a change in the measured electrical current or potential to quantify the presence of the macromolecule.
    Type: Grant
    Filed: February 12, 2016
    Date of Patent: February 11, 2020
    Assignee: UNIVERSITY OF NOTRE DAME DU LAC
    Inventors: Hsueh-Chia Chang, Zdenek Slouka, Satyajyoti Senapati, Li-Jing Cheng
  • Publication number: 20190370652
    Abstract: Systems and methods that include: providing input information in an electronic format; converting at least a part of the electronic input information into an optical input vector; optically transforming the optical input vector into an optical output vector based on an optical matrix multiplication; converting the optical output vector into an electronic format; and electronically applying a non-linear transformation to the electronically converted optical output vector to provide output information in an electronic format. In some examples, a set of multiple input values are encoded on respective optical signals carried by optical waveguides. For each of at least two subsets of one or more optical signals, a corresponding set of one or more copying modules splits the subset of one or more optical signals into two or more copies of the optical signals.
    Type: Application
    Filed: June 4, 2019
    Publication date: December 5, 2019
    Inventors: Yichen Shen, Li Jing, Rumen Dangovski, Peng Xie, Huaiyu Meng, Matthew Khoury, Cheng-Kuan Lu, Ronald Gagnon, Maurice Steinman, Jianhua Wu, Arash Hosseinzadeh
  • Publication number: 20190019100
    Abstract: A photonic parallel network can be used to sample combinatorially hard distributions of Ising problems. The photonic parallel network, also called a photonic processor, finds the ground state of a general Ising problem and can probe critical behaviors of universality classes and their critical exponents. In addition to the attractive features of photonic networks—passivity, parallelization, high-speed and low-power—the photonic processor exploits dynamic noise that occurs during the detection process to find ground states more efficiently.
    Type: Application
    Filed: July 11, 2018
    Publication date: January 17, 2019
    Inventors: Charles ROQUES-CARMES, Yichen Shen, Li Jing, Tena Dubcek, Scott A. Skirlo, Hengameh Bagherianlemraski, Marin Soljacic
  • Patent number: 10095599
    Abstract: This disclosure provides a computer-implemented method for monitoring an application at runtime. The method comprises building up a calling relationship graph for at least one type of system method called at runtime, by checking a stack trace generated when the application is running. An application method of the application that directly or indirectly calls this type of system method is represented as a node in the calling relationship graph. The method further comprises determining one or more target nodes in the calling relationship graph by analyzing the structure of the calling relationship graph. The method further comprises inserting callback methods into application method(s) of the application corresponding to the one or more target nodes only in a calling side. The method further comprises monitoring the application at runtime by using said callback methods.
    Type: Grant
    Filed: March 31, 2016
    Date of Patent: October 9, 2018
    Assignee: International Business Machines Corporation
    Inventors: Yang Che, Xiao Ming Hu, Xin Peng Liu, Ren Fu Ma, Li Jing Mu, Guoqing Wang, Jun Yu Zhang
  • Publication number: 20180260703
    Abstract: A system for training a neural network model, the neural network model comprising a plurality of layers including a first hidden layer associated with a first set of weights, the system comprising at least one computer hardware processor programmed to perform: obtaining training data; selecting a unitary rotational representation for representing a matrix of the first set weights, the selected unitary rotational representation comprising a plurality of parameters; training the neural network model using the training data using an iterative neural network training algorithm to obtain a trained neural network model, each iteration of the iterative neural network training algorithm comprising: updating values of the plurality of parameters in the selected unitary rotational representation for representing the matrix of the set of weights for the at least one hidden layer, and saving the trained neural network model.
    Type: Application
    Filed: November 22, 2017
    Publication date: September 13, 2018
    Applicant: Massachusetts Institute of Technology
    Inventors: Marin Soljacic, Yichen Shen, Li Jing, Tena Dubcek, Scott Skirlo, John E. Peurifoy, Max Erik Tegmark
  • Patent number: 9840536
    Abstract: Compositions and related methods for treating IBS and other gastrointestinal disorders and conditions (e.g., gastrointestinal motility disorders, functional gastrointestinal disorders, gastroesophageal reflux disease (GERD), duodenogastric reflux, Crohn's disease, ulcerative colitis, inflammatory bowel disease, functional heartburn, dyspepsia (including functional dyspepsia or nonulcer dyspepsia), gastroparesis, chronic intestinal pseudo-obstruction (or colonic pseudoobstruction), and disorders and conditions associated with constipation, e.g., constipation associated with use of opiate pain killers, post-surgical constipation, and constipation associated with neuropathic disorders as well as other conditions and disorders are described. The compositions feature peptides that activate the guanylate cyclase C (GC-C) receptor.
    Type: Grant
    Filed: November 9, 2015
    Date of Patent: December 12, 2017
    Assignee: Ironwood Pharmaceuticals, Inc.
    Inventors: Mark G. Currie, Shalina Mahajan-Miklos, Li Jing Sun
  • Publication number: 20170286253
    Abstract: This disclosure provides a computer-implemented method for monitoring an application at runtime. The method comprises building up a calling relationship graph for at least one type of system method called at runtime, by checking a stack trace generated when the application is running. An application method of the application that directly or indirectly calls this type of system method is represented as a node in the calling relationship graph. The method further comprises determining one or more target nodes in the calling relationship graph by analyzing the structure of the calling relationship graph. The method further comprises inserting callback methods into application method(s) of the application corresponding to the one or more target nodes only in a calling side. The method further comprises monitoring the application at runtime by using said callback methods.
    Type: Application
    Filed: March 31, 2016
    Publication date: October 5, 2017
    Inventors: Yang Che, Xiao Ming Hu, Xin Peng Liu, Ren Fu Ma, Li Jing Mu, Guoqing Wang, Jun Yu Zhang
  • Patent number: 9656748
    Abstract: VTOL aircraft with a thrust-to-weight ratio smaller than 0.1, during vertical take-off/landing, obtains an another lift, besides a lift generated by low-temp bypass duct (15) directing the low-temp air (18) from the turbofan engine (3) to flow, through its outlet (19) in form of low-temp planar jet (20), over the upper surface of the wing and in the direction of the wingspan, by high-temp bypass duct (15) directing the high-temp air (18) from the turbofan engine (3) to flow, through its outlet (12) in form of high-temp planar jet (13), above the low-temp planar jet (20) in the direction of the wingspan but not burn up the wing and enables the ailerons (1, 2) to control the balances of the aircraft more efficiently.
    Type: Grant
    Filed: July 13, 2014
    Date of Patent: May 23, 2017
    Inventor: Chen Li Jing
  • Patent number: 9563719
    Abstract: A computer-implemented method for monitoring an object-oriented application is disclosed. A transaction-representative-digraph is built based upon a real-time running of the application, and the digraph contains nodes of a plurality of replaceable classes. A key node is selected based upon invocation relationships between the nodes. A monitor program is instrumented at the selected key node.
    Type: Grant
    Filed: October 14, 2013
    Date of Patent: February 7, 2017
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Yang Che, Zhi Da Luo, Li Jing Mu, Zhi Hua Pan