Patents by Inventor Simon Tong

Simon Tong 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: 20240361991
    Abstract: Techniques are described herein for automatically synthesizing programs that include one or more functions in a spreadsheet programming language. A method includes: receiving a first example including input provided in a first cell in a spreadsheet; automatically synthesizing a plurality of candidate programs including a first set of candidate programs consistent with the first example, wherein each candidate program in the first set of candidate programs comprises at least one function in a spreadsheet programming language and, when the candidate program is executed, the candidate program generates output that matches the first example; ranking the plurality of candidate programs; and storing a highest-ranked program of the plurality of candidate programs in association with the first cell in the spreadsheet.
    Type: Application
    Filed: July 9, 2024
    Publication date: October 31, 2024
    Inventors: Rishabh Singh, Aaron Zemach, Chiraag Galaiya, Dima Brezhnev, David Lick, Francisco Velasquez, Max Lin, Neha Bhargava, Peilun Zhang, Rahul Srinivasan, Simon Tong, Victoria Taylor, Vishnu Sivaji, Zifan Xiao
  • Patent number: 12073194
    Abstract: Techniques are described herein for automatically synthesizing programs that include one or more functions in a spreadsheet programming language. A method includes: receiving a first example including input provided in a first cell in a spreadsheet; automatically synthesizing a plurality of candidate programs including a first set of candidate programs consistent with the first example, wherein each candidate program in the first set of candidate programs comprises at least one function in a spreadsheet programming language and, when the candidate program is executed, the candidate program generates output that matches the first example; ranking the plurality of candidate programs; and storing a highest-ranked program of the plurality of candidate programs in association with the first cell in the spreadsheet.
    Type: Grant
    Filed: October 24, 2022
    Date of Patent: August 27, 2024
    Assignee: GOOGLE LLC
    Inventors: Rishabh Singh, Aaron Zemach, Chiraag Galaiya, Dima Brezhnev, David Lick, Francisco Velasquez, Max Lin, Neha Bhargava, Peilun Zhang, Rahul Srinivasan, Simon Tong, Victoria Taylor, Vishnu Sivaji, Zifan Xiao
  • Publication number: 20240092725
    Abstract: The present invention provides a compound, and method of inhibiting the activity of a Fatty Acid Binding Protein (FABP) comprising contacting the FABP with a compound, said compound having the structure: Formula
    Type: Application
    Filed: July 3, 2023
    Publication date: March 21, 2024
    Applicant: The Research Foundation for the State University of New York
    Inventors: Iwao Ojima, Dale Deutsch, Martin Kaczocha, Kongzhen Hu, Simon Tong, Matthew Elmes, Su Yan
  • Patent number: 11847176
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for correcting entity names. One method includes receiving texts and deriving a plurality of name-context pairs from the texts. The method further includes calculating a context consistency measure for each name-context pair and storing context-entity name data representing the name-context pairs. Another method includes identifying an entity name and one or more context terms from a query and generating candidate names for the entity name. The method further includes determining a score for each of the candidate names, selecting a number of top scoring candidate names, and using the selected candidate names to respond to the query.
    Type: Grant
    Filed: December 20, 2018
    Date of Patent: December 19, 2023
    Assignee: GOOGLE LLC
    Inventors: Lawrence J. Brunsman, Matthieu Devin, Uri N. Lerner, Simon Tong
  • Patent number: 11816114
    Abstract: The present disclosure includes systems and techniques relating to ranking search results of a search query. In general, the subject matter described in this specification can be embodied in a computer-implemented method that includes determining a measure of relevance for a document result within a context of a search query for which the document result is returned, the determining being based on a first number in relation to a second number, the first number corresponding to longer views of the document result, and the second number corresponding to at least shorter views of the document result; and outputting the measure of relevance to a ranking engine for ranking of search results, including the document result, for a new search corresponding to the search query. The subject matter described in this specification can also be embodied in various corresponding computer program products, apparatus and systems.
    Type: Grant
    Filed: November 23, 2021
    Date of Patent: November 14, 2023
    Assignee: Google LLC
    Inventors: Hyung-Jin Kim, Simon Tong, Noam M. Shazeer, Michelangelo Diligenti
  • Publication number: 20230359818
    Abstract: A computing device may receive inputted text and perform, using one or more neural networks, on-device grammar checking of a sequence of words in the inputted text, including determining, using the one or more neural networks, a grammatically correct version of the sequence of words and determining that the sequence of words does not match the grammatically correct version of the sequence of words. The computing device may, in response to determining that the sequence of words does not match the grammatically correct version of the sequence of words, output, for display at a display device, at least a portion of the grammatically correct version of the sequence of words as a suggested replacement for at least a sequence of the sequence of words in the inputted text.
    Type: Application
    Filed: December 18, 2020
    Publication date: November 9, 2023
    Inventors: Matthew Sharifi, Sebastian Millius, Qi Wang, Yunpeng Li, Shankar Kumar, Lukas Zilka, Simon Tong, Martin Sundermeyer
  • Patent number: 11739047
    Abstract: The present invention provides a compound, and method of inhibiting the activity of a Fatty Acid Binding Protein (FABP) comprising contacting the FABP with a compound, said compound having the structure: Formula (I)
    Type: Grant
    Filed: February 11, 2021
    Date of Patent: August 29, 2023
    Assignee: THE RESEARCH FOUNDATION FOR THE STATE UNIVERSITY OF NEW YORK
    Inventors: Iwao Ojima, Dale Deutsch, Martin Kaczocha, Kongzhen Hu, Simon Tong, Matthew Elmes, Su Yan
  • Publication number: 20230039841
    Abstract: Techniques are described herein for automatically synthesizing programs that include one or more functions in a spreadsheet programming language. A method includes: receiving a first example including input provided in a first cell in a spreadsheet; automatically synthesizing a plurality of candidate programs including a first set of candidate programs consistent with the first example, wherein each candidate program in the first set of candidate programs comprises at least one function in a spreadsheet programming language and, when the candidate program is executed, the candidate program generates output that matches the first example; ranking the plurality of candidate programs; and storing a highest-ranked program of the plurality of candidate programs in association with the first cell in the spreadsheet.
    Type: Application
    Filed: October 24, 2022
    Publication date: February 9, 2023
    Inventors: Rishabh Singh, Aaron Zemach, Chiraag Galaiya, Dima Brezhnev, David Lick, Francisco Velasquez, Max Lin, Neha Bhargava, Peilun Zhang, Rahul Srinivasan, Simon Tong, Victoria Taylor, Vishnu Sivaji, Zifan Xiao
  • Patent number: 11481195
    Abstract: Techniques are described herein for automatically synthesizing programs that include one or more functions in a spreadsheet programming language. A method includes: receiving a first example including input provided in a first cell in a spreadsheet; automatically synthesizing a plurality of candidate programs including a first set of candidate programs consistent with the first example, wherein each candidate program in the first set of candidate programs comprises at least one function in a spreadsheet programming language and, when the candidate program is executed, the candidate program generates output that matches the first example; ranking the plurality of candidate programs; and storing a highest-ranked program of the plurality of candidate programs in association with the first cell in the spreadsheet.
    Type: Grant
    Filed: December 15, 2020
    Date of Patent: October 25, 2022
    Assignee: GOOGLE LLC
    Inventors: Rishabh Singh, Aaron Zemach, Chiraag Galaiya, Dima Brezhnev, David Lick, Francisco Velasquez, Max Lin, Neha Bhargava, Peilun Zhang, Rahul Srinivasan, Simon Tong, Victoria Taylor, Vishnu Sivaji, Zifan Xiao
  • Publication number: 20210383060
    Abstract: Techniques are described herein for automatically synthesizing programs that include one or more functions in a spreadsheet programming language. A method includes: receiving first user input in a first cell in a spreadsheet; automatically synthesizing a program using the first user input in the first cell as a first example, where the program includes at least one function in a spreadsheet programming language and, when the program is executed, the program generates output that matches the first example; determining at least one additional cell in the spreadsheet that is related to the first cell; determining that a display triggering condition is satisfied; and in response to the determining that the display triggering condition is satisfied, displaying, in each of the at least one additional cell, an output of the program corresponding to the additional cell.
    Type: Application
    Filed: December 15, 2020
    Publication date: December 9, 2021
    Inventors: Rishabh Singh, Aaron Zemach, Chiraag Galaiya, Dima Brezhnev, David Lick, Francisco Velasquez, Max Lin, Neha Bhargava, Peilun Zhang, Rahul Srinivasan, Simon Tong, Victoria Taylor, Vishnu Sivaji, Zifan Xiao
  • Publication number: 20210382697
    Abstract: Techniques are described herein for automatically synthesizing programs that include one or more functions in a spreadsheet programming language. A method includes: receiving a first example including input provided in a first cell in a spreadsheet; automatically synthesizing a plurality of candidate programs including a first set of candidate programs consistent with the first example, wherein each candidate program in the first set of candidate programs comprises at least one function in a spreadsheet programming language and, when the candidate program is executed, the candidate program generates output that matches the first example; ranking the plurality of candidate programs; and storing a highest-ranked program of the plurality of candidate programs in association with the first cell in the spreadsheet.
    Type: Application
    Filed: December 15, 2020
    Publication date: December 9, 2021
    Inventors: Rishabh Singh, Aaron Zemach, Chiraag Galaiya, Dima Brezhnev, David Lick, Francisco Velasquez, Max Lin, Neha Bhargava, Peilun Zhang, Rahul Srinivasan, Simon Tong, Victoria Taylor, Vishnu Sivaji, Zifan Xiao
  • Patent number: 11188544
    Abstract: The present disclosure includes systems and techniques relating to ranking search results of a search query. In general, the subject matter described in this specification can be embodied in a computer-implemented method that includes determining a measure of relevance for a document result within a context of a search query for which the document result is returned, the determining being based on a first number in relation to a second number, the first number corresponding to longer views of the document result, and the second number corresponding to at least shorter views of the document result; and outputting the measure of relevance to a ranking engine for ranking of search results, including the document result, for a new search corresponding to the search query. The subject matter described in this specification can also be embodied in various corresponding computer program products, apparatus and systems.
    Type: Grant
    Filed: March 11, 2019
    Date of Patent: November 30, 2021
    Assignee: Google LLC
    Inventors: Hyung-Jin Kim, Simon Tong, Noam M. Shazeer, Michelangelo Diligenti
  • Publication number: 20210179535
    Abstract: The present invention provides a compound, and method of inhibiting the activity of a Fatty Acid Binding Protein (FABP) comprising contacting the FABP with a compound, said compound having the structure: Formula (I)
    Type: Application
    Filed: February 11, 2021
    Publication date: June 17, 2021
    Applicant: The Research Foundation for The State University of New York
    Inventors: Iwao Ojima, Dale Deutsch, Martin Kaczocha, Kongzhen Hu, Simon Tong, Matthew Elmes, Su Yan
  • Patent number: 10968163
    Abstract: The present invention provides a compound, and method of inhibiting the activity of a Fatty Acid Binding Protein (FABP) comprising contacting the FABP with a compound, said compound having the structure: Formula (I).
    Type: Grant
    Filed: March 10, 2017
    Date of Patent: April 6, 2021
    Assignee: The Research Foundation for the State University of New York
    Inventors: Iwao Ojima, Dale Deutsch, Martin Kaczocha, Kongzhen Hu, Simon Tong, Matthew Elmes, Su Yan
  • Patent number: 10630763
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage medium, for identifying a set of items of digital content displayed to a user; processing the set of items to identify a set of boost items, items within the set of boost items to be prominently displayed, processing comprising: receiving a close-ties score associated with a respective item, the close-ties score representing a relationship between the user and other users associated with the respective item and an importance of a social circle associated with the item to the user, determining that the close-ties score associated with the respective item exceeds a threshold close-ties score, and in response to determining that the close-ties score exceeds the threshold close-ties score, adding the respective item to the set of boost items; providing instructions for boosting a display of items in the set of boost items in a page displayed to the user.
    Type: Grant
    Filed: March 14, 2018
    Date of Patent: April 21, 2020
    Assignee: Google LLC
    Inventors: Benjamin Tauber, Sachin Jain, Boris Mazniker, Shimrit Ben-Yair, Simon Tong
  • Patent number: 10452718
    Abstract: A stopword detection component detects stopwords (also stop-phrases) in search queries input to keyword-based information retrieval systems. Potential stopwords are initially identified by comparing the terms in the search query to a list of known stopwords. Context data is then retrieved based on the search query and the identified stopwords. In one implementation, the context data includes documents retrieved from a document index. In another implementation, the context data includes categories relevant to the search query. Sets of retrieved context data are compared to one another to determine if they are substantially similar. If the sets of context data are substantially similar, this fact may be used to infer that the removal of the potential stopword(s) is not material to the search. If the sets of context data are not substantially similar, the potential stopword can be considered material to the search and should not be removed from the query.
    Type: Grant
    Filed: October 18, 2017
    Date of Patent: October 22, 2019
    Assignee: GOOGLE LLC
    Inventors: Simon Tong, Uri Lerner, Amit Singhal, Paul Haahr, Steven Baker
  • Patent number: 10229166
    Abstract: The present disclosure includes systems and techniques relating to ranking search results of a search query. In general, the subject matter described in this specification can be embodied in a computer-implemented method that includes determining a measure of relevance for a document result within a context of a search query for which the document result is returned, the determining being based on a first number in relation to a second number, the first number corresponding to longer views of the document result, and the second number corresponding to at least shorter views of the document result; and outputting the measure of relevance to a ranking engine for ranking of search results, including the document result, for a new search corresponding to the search query. The subject matter described in this specification can also be embodied in various corresponding computer program products, apparatus and systems.
    Type: Grant
    Filed: October 25, 2017
    Date of Patent: March 12, 2019
    Assignee: Google LLC
    Inventors: Hyung-Jin Kim, Simon Tong, Noam M. Shazeer, Michelangelo Diligenti
  • Publication number: 20190062261
    Abstract: The present invention provides a compound, and method of inhibiting the activity of a Fatty Acid Binding Protein (FABP) comprising contacting the FABP with a compound, said compound having the structure: Formula (I)
    Type: Application
    Filed: March 10, 2017
    Publication date: February 28, 2019
    Applicant: The Research Foundation for the State University of New York
    Inventors: Iwao Ojima, Dale Deutsch, Martin Kaczocha, Kongzhen Hu, Simon Tong, Matthew Elmes, Su Yan
  • Patent number: 10162895
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for correcting entity names. One method includes receiving texts and deriving a plurality of name-context pairs from the texts. The method further includes calculating a context consistency measure for each name-context pair and storing context-entity name data representing the name-context pairs. Another method includes identifying an entity name and one or more context terms from a query and generating candidate names for the entity name. The method further includes determining a score for each of the candidate names, selecting a number of top scoring candidate names, and using the selected candidate names to respond to the query.
    Type: Grant
    Filed: February 9, 2015
    Date of Patent: December 25, 2018
    Assignee: Google LLC
    Inventors: Lawrence J. Brunsman, Matthieu Devin, Uri N. Lerner, Simon Tong
  • Patent number: 10055461
    Abstract: A system ranks documents based, at least in part, on a ranking model. The ranking model may be generated to predict the likelihood that a document will be selected. The system may receive a search query and identify documents relating to the search query. The system may then rank the documents based, at least in part, on the ranking model and form search results for the search query from the ranked documents.
    Type: Grant
    Filed: July 31, 2015
    Date of Patent: August 21, 2018
    Assignee: Google LLC
    Inventors: Jeremy Bem, Georges R. Harik, Joshua L. Levenberg, Noam M. Shazeer, Simon Tong