Patents by Inventor Qingzhou Wang
Qingzhou Wang 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: 20240035833Abstract: Aspects of the disclosure provide for advanced trip planning for an autonomous vehicle service. For instance, an example method may include determining a potential pickup location for a user, determining a set of potential destination locations for a user, and determining a set of potential trips. For each potential trip a vehicle of a fleet of autonomous vehicles of the service may be assigned and trip information, including an estimated time of arrival for the assigned vehicle of the potential trip to reach the destination location of the potential trip, may be determined. The trip information for each potential trip may be provided for display to the user. Thereafter, confirmation information identifying one of the set of potential trips may be received, and the assigned vehicle for one first of the set of potential trips may be dispatched to pick up the user.Type: ApplicationFiled: October 16, 2023Publication date: February 1, 2024Inventors: Ben Qingzhou Wang, Salil Pandit, Clement Wright, Nirmal Patel, Saksiri Tanphaichitr, Mishika Vora
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Patent number: 11835348Abstract: Aspects of the disclosure provide for advanced trip planning for an autonomous vehicle service. For instance, an example method may include determining a potential pickup location for a user, determining a set of potential destination locations for a user, and determining a set of potential trips. For each potential trip a vehicle of a fleet of autonomous vehicles of the service may be assigned and trip information, including an estimated time of arrival for the assigned vehicle of the potential trip to reach the destination location of the potential trip, may be determined. The trip information for each potential trip may be provided for display to the user. Thereafter, confirmation information identifying one of the set of potential trips may be received, and the assigned vehicle for one first of the set of potential trips may be dispatched to pick up the user.Type: GrantFiled: March 24, 2022Date of Patent: December 5, 2023Assignee: Waymo LLCInventors: Ben Qingzhou Wang, Salil Pandit, Clement Wright, Nirmal Patel, Saksiri Tanphaichitr, Mishika Vora
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Publication number: 20220214180Abstract: Aspects of the disclosure provide for advanced trip planning for an autonomous vehicle service. For instance, an example method may include determining a potential pickup location for a user, determining a set of potential destination locations for a user, and determining a set of potential trips. For each potential trip a vehicle of a fleet of autonomous vehicles of the service may be assigned and trip information, including an estimated time of arrival for the assigned vehicle of the potential trip to reach the destination location of the potential trip, may be determined. The trip information for each potential trip may be provided for display to the user. Thereafter, confirmation information identifying one of the set of potential trips may be received, and the assigned vehicle for one first of the set of potential trips may be dispatched to pick up the user.Type: ApplicationFiled: March 24, 2022Publication date: July 7, 2022Inventors: Ben Qingzhou Wang, Salil Pandit, Clement Wright, Nirmal Patel, Saksiri Tanphaichitr, Mishika Vora
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Patent number: 11313688Abstract: Aspects of the disclosure provide for advanced trip planning for an autonomous vehicle service. For instance, an example method may include determining a potential pickup location for a user, determining a set of potential destination locations for a user, and determining a set of potential trips. For each potential trip a vehicle of a fleet of autonomous vehicles of the service may be assigned and trip information, including an estimated time of arrival for the assigned vehicle of the potential trip to reach the destination location of the potential trip, may be determined. The trip information for each potential trip may be provided for display to the user. Thereafter, confirmation information identifying one of the set of potential trips may be received, and the assigned vehicle for one first of the set of potential trips may be dispatched to pick up the user.Type: GrantFiled: April 10, 2019Date of Patent: April 26, 2022Assignee: Waymo LLCInventors: Ben Qingzhou Wang, Salil Pandit, Clement Wright, Nirmal Patel, Saksiri Tanphaichitr, Mishika Vora
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Publication number: 20200326194Abstract: Aspects of the disclosure provide for advanced trip planning for an autonomous vehicle service. For instance, an example method may include determining a potential pickup location for a user, determining a set of potential destination locations for a user, and determining a set of potential trips. For each potential trip a vehicle of a fleet of autonomous vehicles of the service may be assigned and trip information, including an estimated time of arrival for the assigned vehicle of the potential trip to reach the destination location of the potential trip, may be determined. The trip information for each potential trip may be provided for display to the user. Thereafter, confirmation information identifying one of the set of potential trips may be received, and the assigned vehicle for one first of the set of potential trips may be dispatched to pick up the user.Type: ApplicationFiled: April 10, 2019Publication date: October 15, 2020Inventors: Ben Qingzhou Wang, Salil Pandit, Clement Wright, Nirmal Patel, Saksiri Tanphaichitr, Mishika Vora
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Patent number: 9449271Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for scoring concept terms using a deep network. One of the methods includes receiving an input comprising a plurality of features of a resource, wherein each feature is a value of a respective attribute of the resource; processing each of the features using a respective embedding function to generate one or more numeric values; processing the numeric values using one or more neural network layers to generate an alternative representation of the features, wherein processing the floating point values comprises applying one or more non-linear transformations to the floating point values; and processing the alternative representation of the input using a classifier to generate a respective category score for each category in a pre-determined set of categories, wherein each of the respective category scores measure a predicted likelihood that the resource belongs to the corresponding category.Type: GrantFiled: August 24, 2015Date of Patent: September 20, 2016Assignee: Google Inc.Inventors: Qingzhou Wang, Yu Liang, Ke Yang, Kai Chen
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Publication number: 20160048754Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for scoring concept terms using a deep network. One of the methods includes receiving an input comprising a plurality of features of a resource, wherein each feature is a value of a respective attribute of the resource; processing each of the features using a respective embedding function to generate one or more numeric values; processing the numeric values using one or more neural network layers to generate an alternative representation of the features, wherein processing the floating point values comprises applying one or more non-linear transformations to the floating point values; and processing the alternative representation of the input using a classifier to generate a respective category score for each category in a pre-determined set of categories, wherein each of the respective category scores measure a predicted likelihood that the resource belongs to the corresponding category.Type: ApplicationFiled: August 24, 2015Publication date: February 18, 2016Inventors: Qingzhou Wang, Yu Liang, Ke Yang, Kai Chen
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Patent number: 9147154Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for scoring concept terms using a deep network. One of the methods includes receiving an input comprising a plurality of features of a resource, wherein each feature is a value of a respective attribute of the resource; processing each of the features using a respective embedding function to generate one or more numeric values; processing the numeric values using one or more neural network layers to generate an alternative representation of the features, wherein processing the floating point values comprises applying one or more non-linear transformations to the floating point values; and processing the alternative representation of the input using a classifier to generate a respective category score for each category in a pre-determined set of categories, wherein each of the respective category scores measure a predicted likelihood that the resource belongs to the corresponding category.Type: GrantFiled: March 13, 2013Date of Patent: September 29, 2015Assignee: Google Inc.Inventors: Qingzhou Wang, Yu Liang, Ke Yang, Kai Chen
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Publication number: 20140279774Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for scoring concept terms using a deep network. One of the methods includes receiving an input comprising a plurality of features of a resource, wherein each feature is a value of a respective attribute of the resource; processing each of the features using a respective embedding function to generate one or more numeric values; processing the numeric values using one or more neural network layers to generate an alternative representation of the features, wherein processing the floating point values comprises applying one or more non-linear transformations to the floating point values; and processing the alternative representation of the input using a classifier to generate a respective category score for each category in a pre-determined set of categories, wherein each of the respective category scores measure a predicted likelihood that the resource belongs to the corresponding category.Type: ApplicationFiled: March 13, 2013Publication date: September 18, 2014Applicant: Google Inc.Inventors: Qingzhou Wang, Yu Liang, Ke Yang, Kai Chen
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Patent number: 8024693Abstract: One embodiment of the present invention provides a system that optimizes a circuit design during a logic design stage to reduce routing congestion during a placement and routing stage. During operation, this system identifies a first circuit structure in the circuit design which is expected to cause routing congestion during the placement and routing stage. Next, the system generates a second circuit structure which is functionally equivalent to the first circuit structure, and is not expected to cause routing congestion during the placement and routing stage. The system then replaces the first circuit structure in the circuit design with the second circuit structure, thereby mitigating routing congestion during the placement and routing stage.Type: GrantFiled: November 4, 2008Date of Patent: September 20, 2011Assignee: Synopsys, Inc.Inventors: Jay K. Adams, Qingzhou Wang, Yong Xiao
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Publication number: 20100115476Abstract: One embodiment of the present invention provides a system that optimizes a circuit design during a logic design stage to reduce routing congestion during a placement and routing stage. During operation, this system identifies a first circuit structure in the circuit design which is expected to cause routing congestion during the placement and routing stage. Next, the system generates a second circuit structure which is functionally equivalent to the first circuit structure, and is not expected to cause routing congestion during the placement and routing stage. The system then replaces the first circuit structure in the circuit design with the second circuit structure, thereby mitigating routing congestion during the placement and routing stage.Type: ApplicationFiled: November 4, 2008Publication date: May 6, 2010Applicant: SYNOPSYS, INC.Inventors: Jay K. Adams, Qingzhou Wang, Yong Xiao