Patents by Inventor Yu Ouyang
Yu Ouyang 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).
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Publication number: 20240082169Abstract: The present invention provides nanoparticle carriers of active agents which are functionalized by stimuli-responsive conjugation with DNA-nano structures, methods and processes for their preparation, compositions comprising them and uses thereof in methods of treating diseases, disorders and symptoms thereof.Type: ApplicationFiled: January 17, 2022Publication date: March 14, 2024Applicant: Yissum Research Development Company of The Hebrew University of Jerusalem Ltd.Inventors: Itamar WILLNER, Eli PIKARSKY, Rachel NECHUSHTAI, Yang-Sung SOHN, Pu ZHANG, Yu OUYANG
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Publication number: 20240086063Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for cross input modality learning in a mobile device are disclosed. In one aspect, a method includes activating a first modality user input mode in which user inputs by way of a first modality are recognized using a first modality recognizer; and receiving a user input by way of the first modality. The method includes, obtaining, as a result of the first modality recognizer recognizing the user input, a transcription that includes a particular term; and generating an input context data structure that references at least the particular term. The method further includes, transmitting, by the first modality recognizer, the input context data structure to a second modality recognizer for use in updating a second modality recognition model associated with the second modality recognizer.Type: ApplicationFiled: November 22, 2023Publication date: March 14, 2024Inventors: Yu Ouyang, Diego Melendo Casado, Mohammadinamul Hasan Sheik, Francoise Beaufays, Dragan Zivkovic, Meltem Oktem
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Patent number: 11914964Abstract: The present application discloses a method and apparatus for training a semantic representation model, a device and a computer storage medium, which relates to the field of natural language processing technologies in artificial intelligence.Type: GrantFiled: March 22, 2021Date of Patent: February 27, 2024Assignee: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.Inventors: Shuohuan Wang, Jiaxiang Liu, Xuan Ouyang, Yu Sun, Hua Wu, Haifeng Wang
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Patent number: 11875274Abstract: A method may include determining, by a computing device and based on at least one user coherency factor, a user coherency level. The coherency level may include a predicted ability of a user to comprehend information. The method may also include determining, by the computing device and based on the user coherency level, information having a complexity that satisfies the predicted ability of the user to comprehend information. The method may further include outputting, by the computing device, at least a portion of the information.Type: GrantFiled: January 23, 2023Date of Patent: January 16, 2024Assignee: GOOGLE LLCInventor: Yu Ouyang
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Patent number: 11842045Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for cross input modality learning in a mobile device are disclosed. In one aspect, a method includes activating a first modality user input mode in which user inputs by way of a first modality are recognized using a first modality recognizer; and receiving a user input by way of the first modality. The method includes, obtaining, as a result of the first modality recognizer recognizing the user input, a transcription that includes a particular term; and generating an input context data structure that references at least the particular term. The method further includes, transmitting, by the first modality recognizer, the input context data structure to a second modality recognizer for use in updating a second modality recognition model associated with the second modality recognizer.Type: GrantFiled: August 31, 2022Date of Patent: December 12, 2023Assignee: Google LLCInventors: Yu Ouyang, Diego Melendo Casado, Mohammadinamul Hasan Sheik, Francoise Beaufays, Dragan Zivkovic, Meltem Oktem
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Patent number: 11783596Abstract: Machine-learning models are described detecting the signaling state of a traffic signaling unit. A system can obtain an image of the traffic signaling unit, and select a model of the traffic signaling unit that identifies a position of each traffic lighting element on the unit. First and second neural network inputs are processed with a neural network to generate an estimated signaling state of the traffic signaling unit. The first neural network input can represent the image of the traffic signaling unit, and the second neural network input can represent the model of the traffic signaling unit. Using the estimated signaling state of the traffic signaling unit, the system can inform a driving decision of a vehicle.Type: GrantFiled: May 6, 2022Date of Patent: October 10, 2023Assignee: Waymo LLCInventors: Edward Hsiao, Yu Ouyang, Maoqing Yao
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Patent number: 11670038Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing point cloud data using dynamic voxelization. When deployed within an on-board system of a vehicle, processing the point cloud data using dynamic voxelization can be used to make autonomous driving decisions for the vehicle with enhanced accuracy, for example by combining representations of point cloud data characterizing a scene from multiple views of the scene.Type: GrantFiled: November 1, 2021Date of Patent: June 6, 2023Assignee: Waymo LLCInventors: Yin Zhou, Pei Sun, Yu Zhang, Dragomir Anguelov, Jiyang Gao, Yu Ouyang, Zijian Guo, Jiquan Ngiam, Vijay Vasudevan
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Patent number: 11573698Abstract: In some examples, a computing device includes at least one processor; and at least one module, operable by the at least one processor to: output, for display at an output device, a graphical keyboard; receive an indication of a gesture detected at a location of a presence-sensitive input device, wherein the location of the presence-sensitive input device corresponds to a location of the output device that outputs the graphical keyboard; determine, based on at least one spatial feature of the gesture that is processed by the computing device using a neural network, at least one character string, wherein the at least one spatial feature indicates at least one physical property of the gesture; and output, for display at the output device, based at least in part on the processing of the at least one spatial feature of the gesture using the neural network, the at least one character string.Type: GrantFiled: September 8, 2021Date of Patent: February 7, 2023Assignee: Google LLCInventors: Shumin Zhai, Thomas Breuel, Ouais Alsharif, Yu Ouyang, Francoise Beaufays, Johan Schalkwyk
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Patent number: 11562261Abstract: A method may include determining, by a computing device and based on at least one user coherency factor, a user coherency level. The coherency level may include a predicted ability of a user to comprehend information. The method may also include determining, by the computing device and based on the user coherency level, information having a complexity that satisfies the predicted ability of the user to comprehend information. The method may further include outputting, by the computing device, at least a portion of the information.Type: GrantFiled: April 4, 2019Date of Patent: January 24, 2023Assignee: Google LLCInventor: Yu Ouyang
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Publication number: 20220413696Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for cross input modality learning in a mobile device are disclosed. In one aspect, a method includes activating a first modality user input mode in which user inputs by way of a first modality are recognized using a first modality recognizer; and receiving a user input by way of the first modality. The method includes, obtaining, as a result of the first modality recognizer recognizing the user input, a transcription that includes a particular term; and generating an input context data structure that references at least the particular term. The method further includes, transmitting, by the first modality recognizer, the input context data structure to a second modality recognizer for use in updating a second modality recognition model associated with the second modality recognizer.Type: ApplicationFiled: August 31, 2022Publication date: December 29, 2022Inventors: Yu Ouyang, Diego Melendo Casado, Mohammadinamul Hasan Sheik, Francoise Beaufays, Dragan Zivkovic, Meltem Oktem
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Publication number: 20220335731Abstract: Machine-learning models are described detecting the signaling state of a traffic signaling unit. A system can obtain an image of the traffic signaling unit, and select a model of the traffic signaling unit that identifies a position of each traffic lighting element on the unit. First and second neural network inputs are processed with a neural network to generate an estimated signaling state of the traffic signaling unit. The first neural network input can represent the image of the traffic signaling unit, and the second neural network input can represent the model of the traffic signaling unit. Using the estimated signaling state of the traffic signaling unit, the system can inform a driving decision of a vehicle.Type: ApplicationFiled: May 6, 2022Publication date: October 20, 2022Inventors: Edward Hsiao, Yu Ouyang, Maoqing Yao
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Patent number: 11435898Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for cross input modality learning in a mobile device are disclosed. In one aspect, a method includes activating a first modality user input mode in which user inputs by way of a first modality are recognized using a first modality recognizer; and receiving a user input by way of the first modality. The method includes, obtaining, as a result of the first modality recognizer recognizing the user input, a transcription that includes a particular term; and generating an input context data structure that references at least the particular term. The method further includes, transmitting, by the first modality recognizer, the input context data structure to a second modality recognizer for use in updating a second modality recognition model associated with the second modality recognizer.Type: GrantFiled: October 6, 2020Date of Patent: September 6, 2022Assignee: Google LLCInventors: Yu Ouyang, Diego Melendo Casado, Mohammadinamul Hasan Sheik, Francoise Beaufays, Dragan Zivkovic, Meltem Oktem
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Patent number: 11379663Abstract: A computing device outputs a keyboard for display, receives an indication of a first gesture to select a first sequence of one or more keys, determines a set of candidate strings based in part on the first sequence of keys, and outputs for display at least one of the set of candidate strings. The computing device receives an indication of a second gesture to select a second sequence of one or more keys, and determines that characters associated with the second sequence of keys are included in a first candidate word based at least in part on the set of candidate strings, or are included in a second candidate word not based on the first sequence of keys. The computing device modifies the set of candidate strings based at least in part on the determination and outputs for display at least one of the modified candidate strings.Type: GrantFiled: March 4, 2021Date of Patent: July 5, 2022Assignee: Google LLCInventors: Yu Ouyang, Shumin Zhai, Xiaojun Bi
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Publication number: 20220156972Abstract: Methods, computer systems, and apparatus, including computer programs encoded on computer storage media, for generating a distance estimate for a target object that is depicted in an image of a scene in an environment. The system obtains data specifying (i) a target portion of the image that depicts the target object detected in the image, and (ii) one or more reference portions of the image that each depict a respective reference object detected in the image. The system further obtains, for each of the one or more reference objects, a respective distance measurement for the reference object that is a measurement of a distance from the reference object to a specified location in the environment. The system processes the obtained data to generate a distance estimate for the target object that is an estimate of a distance from the target object to the specified location in the environment.Type: ApplicationFiled: November 15, 2021Publication date: May 19, 2022Inventors: Yu-Han Chen, Maya Kabkab, Ruichi Yu, Yingwei Li, Hang Zhao, Yu Ouyang
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Patent number: 11328519Abstract: Machine-learning models are described detecting the signaling state of a traffic signaling unit. A system can obtain an image of the traffic signaling unit, and select a model of the traffic signaling unit that identifies a position of each traffic lighting element on the unit. First and second neural network inputs are processed with a neural network to generate an estimated signaling state of the traffic signaling unit. The first neural network input can represent the image of the traffic signaling unit, and the second neural network input can represent the model of the traffic signaling unit. Using the estimated signaling state of the traffic signaling unit, the system can inform a driving decision of a vehicle.Type: GrantFiled: July 23, 2020Date of Patent: May 10, 2022Assignee: Waymo LLCInventors: Edward Hsiao, Yu Ouyang, Maoqing Yao
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Publication number: 20220058858Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing point cloud data using dynamic voxelization. When deployed within an on-board system of a vehicle, processing the point cloud data using dynamic voxelization can be used to make autonomous driving decisions for the vehicle with enhanced accuracy, for example by combining representations of point cloud data characterizing a scene from multiple views of the scene.Type: ApplicationFiled: November 1, 2021Publication date: February 24, 2022Inventors: Yin Zhou, Pei Sun, Yu Zhang, Dragomir Anguelov, Jiyang Gao, Yu Ouyang, Zijian Guo, Jiquan Ngiam, Vijay Vasudevan
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Publication number: 20220027645Abstract: Machine-learning models are described detecting the signaling state of a traffic signaling unit. A system can obtain an image of the traffic signaling unit, and select a model of the traffic signaling unit that identifies a position of each traffic lighting element on the unit. First and second neural network inputs are processed with a neural network to generate an estimated signaling state of the traffic signaling unit. The first neural network input can represent the image of the traffic signaling unit, and the second neural network input can represent the model of the traffic signaling unit. Using the estimated signaling state of the traffic signaling unit, the system can inform a driving decision of a vehicle.Type: ApplicationFiled: July 23, 2020Publication date: January 27, 2022Inventors: Edward Hsiao, Yu Ouyang, Maoqing Yao
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Publication number: 20210405868Abstract: In some examples, a computing device includes at least one processor; and at least one module, operable by the at least one processor to: output, for display at an output device, a graphical keyboard; receive an indication of a gesture detected at a location of a presence-sensitive input device, wherein the location of the presence-sensitive input device corresponds to a location of the output device that outputs the graphical keyboard; determine, based on at least one spatial feature of the gesture that is processed by the computing device using a neural network, at least one character string, wherein the at least one spatial feature indicates at least one physical property of the gesture; and output, for display at the output device, based at least in part on the processing of the at least one spatial feature of the gesture using the neural network, the at least one character string.Type: ApplicationFiled: September 8, 2021Publication date: December 30, 2021Applicant: Google LLCInventors: Shumin Zhai, Thomas Breuel, Ouais Alsharif, Yu Ouyang, Francoise Beaufays, Johan Schalkwyk
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Patent number: 11164363Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing point cloud data using dynamic voxelization. When deployed within an on-board system of a vehicle, processing the point cloud data using dynamic voxelization can be used to make autonomous driving decisions for the vehicle with enhanced accuracy, for example by combining representations of point cloud data characterizing a scene from multiple views of the scene.Type: GrantFiled: July 8, 2020Date of Patent: November 2, 2021Assignee: Waymo LLCInventors: Yin Zhou, Pei Sun, Yu Zhang, Dragomir Anguelov, Jiyang Gao, Yu Ouyang, Zijian Guo, Jiquan Ngiam, Vijay Vasudevan
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Patent number: D994164Type: GrantFiled: April 9, 2022Date of Patent: August 1, 2023Inventor: Yu Ouyang