Patents by Inventor Peng Qi

Peng Qi 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: 20250111267
    Abstract: Template-based tuning is performed on a generative machine learning model where a shared template is used to tune the generative machine learning model across multiple natural language tasks. When a natural language request to perform a natural language task is received, portions of a shared template to complete are identified as part of generating a prompt. The generative machine learning model is instructed according to the generated prompt and a response to the request is returned based on a result of the generative machine learning model.
    Type: Application
    Filed: September 29, 2023
    Publication date: April 3, 2025
    Applicant: Amazon Technologies, Inc.
    Inventors: Zhiheng Huang, Yue Yang, Lan Liu, Yuhao Zhang, Peng Qi
  • Publication number: 20250095007
    Abstract: An online concierge system trains a user interaction model to predict a probability of a user performing an interaction after one or more content items are displayed to the user. This provides a measure of an effect of displaying content items to the user on the user performing one or more interactions. The user interaction model is trained from displaying content items to certain users of the online concierge system and withholding display of the content items to other users of the online concierge system. To train the user interaction model, the user interaction model is applied to labeled examples identifying a user and value based on interactions the user performed after one or more content items were displayed to the user and interactions the user performed when one or more content items were not used.
    Type: Application
    Filed: December 4, 2024
    Publication date: March 20, 2025
    Inventors: Changyao Chen, Peng Qi, Weian Sheng
  • Publication number: 20250095055
    Abstract: An online concierge system includes sponsored content items in an interface including different slots for displaying content items. A sponsored content item may be displayed in a single slot or in multiple adjacent slots. The online concierge system determines a content score for various sponsored content items indicating a likelihood of a user interacting with a sponsored content item and a position bias for slots in the interface indicating a likelihood of the user interacting with a slot independent of content in the slot. Position biases are different dependent on a number of slots in which a content item is displayed. The online concierge system generates a graph identifying potential placements of sponsored content items in slots by selecting content items in an order according to their content scores. Sponsored content items are positioned in slots according to a path through the graph that has the highest overall expected value.
    Type: Application
    Filed: December 2, 2024
    Publication date: March 20, 2025
    Inventors: Jeffrey Bernard Arnold, Rob Donnelly, Sumit Garg, Jonathan Gu, Bill Lundberg, David Pal, Sharath Rao Karikurve, Peng Qi
  • Patent number: 12198155
    Abstract: An online concierge system trains a user interaction model to predict a probability of a user performing an interaction after one or more content items are displayed to the user. This provides a measure of an effect of displaying content items to the user on the user performing one or more interactions. The user interaction model is trained from displaying content items to certain users of the online concierge system and withholding display of the content items to other users of the online concierge system. To train the user interaction model, the user interaction model is applied to labeled examples identifying a user and value based on interactions the user performed after one or more content items were displayed to the user and interactions the user performed when one or more content items were not used.
    Type: Grant
    Filed: February 21, 2023
    Date of Patent: January 14, 2025
    Assignee: Maplebear Inc.
    Inventors: Changyao Chen, Peng Qi, Weian Sheng
  • Publication number: 20250005381
    Abstract: An online system manages presentation of content items in various presentation contexts such as when the users are browsing pages or when the users have entered a search query. The online system trains a single unified machine learning model that predicts one or more likelihoods of a target event associated with presentation of a content item in the different presentation contexts. The learned model is applied to a set of candidate content items associated with a presentation opportunity in a specific context. Features that are inapplicable to the specific context may be masked when applying the model. The online system may select between the candidate content items based on the predicted likelihoods using the model trained across the multiple different contexts, such that the prediction for one context may be based in part on learned outcomes in other related contexts.
    Type: Application
    Filed: June 30, 2023
    Publication date: January 2, 2025
    Inventors: Peng Qi, Cheng Jia, Xiyu Wang, Qiao Jiang, Sharad Gupta, David Pal, Joseph Haraldson, Zhenbang Chen
  • Patent number: 12175525
    Abstract: An online concierge system includes sponsored content items in an interface including different slots for displaying content items. A sponsored content item may be displayed in a single slot or in multiple adjacent slots. The online concierge system determines a content score for various sponsored content items indicating a likelihood of a user interacting with a sponsored content item and a position bias for slots in the interface indicating a likelihood of the user interacting with a slot independent of content in the slot. Position biases are different dependent on a number of slots in which a content item is displayed. The online concierge system generates a graph identifying potential placements of sponsored content items in slots by selecting content items in an order according to their content scores. Sponsored content items are positioned in slots according to a path through the graph that has the highest overall expected value.
    Type: Grant
    Filed: October 4, 2021
    Date of Patent: December 24, 2024
    Assignee: Maplebear Inc.
    Inventors: Jeffrey Bernard Arnold, Rob Donnelly, Sumit Garg, Jonathan Gu, Bill Lundberg, David Pal, Sharath Rao Karikurve, Peng Qi
  • Publication number: 20240386462
    Abstract: An online system receives an indication that a user is starting an order. The online system retrieves candidate contents for the user and provides prompts to a model serving system. The model serving system is configured to provide scores for the contents based on relevancy, a likelihood of user interaction, and a likelihood of the user purchasing an item associated with the content. The online system provides scores from the model serving system to a predicted click-through rate (pCTR) model. Based on the pCTR model scores, the online system ranks the candidate contents. The online system provides content for display to the user based on the ranked candidate contents.
    Type: Application
    Filed: May 16, 2024
    Publication date: November 21, 2024
    Inventors: Peng Qi, Vikaram Gupta
  • Publication number: 20240362657
    Abstract: An online concierge system uses a model to predict a user's interaction with an item, based on a user embedding for the user and an item embedding for the item. For the model to account for more recent interactions by users with items without retraining the model, the online concierge system generates updated item embeddings and updated user embeddings that account for the recent interactions by users with items. The online concierge system compares performance of the model using the updated item embeddings and the updated user embeddings relative to performance of the model using the existing item embeddings and user embeddings. If the performance of the model decreases, the online concierge system adjusts the updated user embeddings and the updated item embeddings based on the change in performance of the model. The adjusted updated user embeddings and adjusted updated item embeddings are stored for use by the model.
    Type: Application
    Filed: July 9, 2024
    Publication date: October 31, 2024
    Inventors: Chuanwei Ruan, Ramasubramanian Balasubramanian, Peng Qi
  • Publication number: 20240289866
    Abstract: An online concierge system maintains a taxonomy associating one or more specific items offered by a warehouse with a generic item description. When the online concierge system receives a generic item description from a user for inclusion in an order, the online concierge system uses the taxonomy to select a set of items associated with the generic item description. Based on probabilities of the user purchasing various items of the set, the online concierge system selects an item of the set for inclusion in the order For example, the online concierge system selects an item of the set for which the user has a maximum probability of being purchased. Subsequently, the online concierge system displays an interface for the user that is prepopulated with information identifying the selected item of the set.
    Type: Application
    Filed: May 8, 2024
    Publication date: August 29, 2024
    Inventors: Weian Sheng, Peng Qi, Changyao Chen
  • Patent number: 12051081
    Abstract: An online concierge system uses a model to predict a user's interaction with an item, based on a user embedding for the user and an item embedding for the item. For the model to account for more recent interactions by users with items without retraining the model, the online concierge system generates updated item embeddings and updated user embeddings that account for the recent interactions by users with items. The online concierge system compares performance of the model using the updated item embeddings and the updated user embeddings relative to performance of the model using the existing item embeddings and user embeddings. If the performance of the model decreases, the online concierge system adjusts the updated user embeddings and the updated item embeddings based on the change in performance of the model. The adjusted updated user embeddings and adjusted updated item embeddings are stored for use by the model.
    Type: Grant
    Filed: October 29, 2021
    Date of Patent: July 30, 2024
    Assignee: Maplebear Inc.
    Inventors: Chuanwei Ruan, Ramasubramanian Balasubramanian, Peng Qi
  • Publication number: 20240206827
    Abstract: The present application provides a table panel assembly, an examination table, and an X-ray imaging system. The table panel assembly is arranged on a base of the examination table and is used for bearing an object under examination. The table panel assembly includes a support frame and a table panel. The support frame is mounted on the base. The table panel is mounted on the support frame. The table panel is movably connected to the support frame. A rotating shaft is formed between the table panel and the support frame. The table panel can be flipped outward relative to the rotating shaft. An accommodating space is formed between the table panel and the support frame, and the accommodating space can be used for placing and moving a detector.
    Type: Application
    Filed: December 8, 2023
    Publication date: June 27, 2024
    Inventors: Fusheng Li, Yuqing Li, Peng Qi, Yigang Xia, Youbao Cao
  • Patent number: 11995700
    Abstract: An online concierge system maintains a taxonomy associating one or more specific items offered by a warehouse with a generic item description. When the online concierge system receives a generic item description from a user for inclusion in an order, the online concierge system uses the taxonomy to select a set of items associated with the generic item description. Based on probabilities of the user purchasing various items of the set, the online concierge system selects an item of the set for inclusion in the order For example, the online concierge system selects an item of the set for which the user has a maximum probability of being purchased. Subsequently, the online concierge system displays an interface for the user that is prepopulated with information identifying the selected item of the set.
    Type: Grant
    Filed: May 5, 2021
    Date of Patent: May 28, 2024
    Assignee: Maplebear Inc.
    Inventors: Weian Sheng, Peng Qi, Changyao Chen
  • Publication number: 20240020743
    Abstract: An online concierge system maintains historical orders received from a user that include one or more items. For items included in one more historical orders, the online concierge system determines an interval between orders including an item, providing an indication of a frequency with which the user orders the item. When the online concierge system receives a request to create an order from the user, in response to an amount of time between a most recently received order including the item and a time when the request was received is within a threshold duration of the interval between orders including the item, the online concierge system selects an item from a category including the item. The selected item may be the item or an alternative item in the category. Subsequently, the online concierge system displays an interface for the user that is prepopulated with information identifying the selected item.
    Type: Application
    Filed: September 29, 2023
    Publication date: January 18, 2024
    Inventors: Weian Sheng, Peng Qi, Changyao Chen
  • Publication number: 20240005132
    Abstract: An online system trains a machine-learned lift prediction model configured as a neural network. The machine-learned lift prediction model can be used during the inference process to determine lift predictions for users and items associated with the online system. By configuring the lift prediction model as a neural network, the lift prediction model can capture and process information from users and items in various formats and more flexibly model users and items compared to existing methods. Moreover, the lift prediction model includes at least a first portion for generating control predictions and a second portion for generating treatment predictions, where the first portion and the second portion share a subset of parameters. The shared subset of parameters can capture information important for generating both control and treatment predictions even when the training data for a control group of users might be significantly smaller than that of the treatment group.
    Type: Application
    Filed: June 30, 2022
    Publication date: January 4, 2024
    Inventors: Zhenbang Chen, Jingying Zhou, Peng Qi
  • Publication number: 20240005377
    Abstract: An online system trains a machine-learned lift prediction model configured as a neural network. The machine-learned lift prediction model can be used during the inference process to determine lift predictions for users and items associated with the online system. By configuring the lift prediction model as a neural network, the lift prediction model can capture and process information from users and items in various formats and more flexibly model users and items compared to existing methods. Moreover, the lift prediction model includes at least a first portion for generating control predictions and a second portion for generating treatment predictions, where the first portion and the second portion share a subset of parameters. The shared subset of parameters can capture information important for generating both control and treatment predictions even when the training data for a control group of users might be significantly smaller than that of the treatment group.
    Type: Application
    Filed: June 30, 2022
    Publication date: January 4, 2024
    Inventors: Zhenbang Chen, Jingying Zhou, Peng Qi
  • Patent number: 11810170
    Abstract: An online concierge system maintains historical orders received from a user that include one or more items. For items included in one more historical orders, the online concierge system determines an interval between orders including an item, providing an indication of a frequency with which the user orders the item. When the online concierge system receives a request to create an order from the user, in response to an amount of time between a most recently received order including the item and a time when the request was received is within a threshold duration of the interval between orders including the item, the online concierge system selects an item from a category including the item. The selected item may be the item or an alternative item in the category. Subsequently, the online concierge system displays an interface for the user that is prepopulated with information identifying the selected item.
    Type: Grant
    Filed: April 16, 2021
    Date of Patent: November 7, 2023
    Assignee: Maplebear Inc.
    Inventors: Weian Sheng, Peng Qi, Changyao Chen
  • Publication number: 20230267322
    Abstract: System and method for aspect-level sentiment classification. The system includes a computing device, the computing device has a processer and a storage device storing computer executable code. The computer executable code is configured to: receive an aspect term-sentence pair; embed the aspect term-sentence pair; parse the sentence using multiple parsers to obtain dependency trees, and perform edge union to obtain a merged graph; combine the embedding and the merged graph to obtain a relation graph; perform a relation graph neural network on the relation graph; extract hidden representation of the aspect term from updated relation neural network; and classify the aspect term based on the extracted representation to obtain a predicted classification label of the aspect term. During training, the computer executable code is further configured to calculate a loss function based on the predicted label and the ground truth label, and adjust parameters of models.
    Type: Application
    Filed: February 21, 2022
    Publication date: August 24, 2023
    Inventors: Xiaochen Hou, Peng Qi, Guangtao Wang, Zhitao Ying, Jing Huang, Xiaodong He, Bowen Zhou
  • Patent number: 11731837
    Abstract: The present invention provides a material conveying device including a material conveying groove, having a traveling track; a material bearing and conveying assembly, including: an annular chain; traveling units arranged on the chain at intervals, drivable by the chain to move on the traveling track along a material conveying direction, and provided with a bottom surface close to the material conveying groove, a top surface opposite the bottom surface and side surfaces extending between the top and bottom surfaces; a belt-shaped elastic material bearing portion, connected to the top surfaces and/or the side surfaces of the two adjacent traveling units; and a driving device to drive the chain to circularly rotate relative to the material conveying groove along the material conveying direction. The working state of material conveying equipment can be improved, and the stability and economic index of the equipment can be enhanced.
    Type: Grant
    Filed: September 30, 2020
    Date of Patent: August 22, 2023
    Assignee: SHANDONG LINGXIYUAN SCI-TECH DEVELOPMENT CORPORATION
    Inventors: Xiaofeng Zhang, Lanying Ma, Peng Qi, Xiaoqi Zhang
  • Publication number: 20230196389
    Abstract: An online concierge system trains a user interaction model to predict a probability of a user performing an interaction after one or more content items are displayed to the user. This provides a measure of an effect of displaying content items to the user on the user performing one or more interactions. The user interaction model is trained from displaying content items to certain users of the online concierge system and withholding display of the content items to other users of the online concierge system. To train the user interaction model, the user interaction model is applied to labeled examples identifying a user and value based on interactions the user performed after one or more content items were displayed to the user and interactions the user performed when one or more content items were not used.
    Type: Application
    Filed: February 21, 2023
    Publication date: June 22, 2023
    Inventors: Changyao Chen, Peng Qi, Weian Sheng
  • Publication number: 20230136886
    Abstract: An online concierge system uses a model to predict a user's interaction with an item, based on a user embedding for the user and an item embedding for the item. For the model to account for more recent interactions by users with items without retraining the model, the online concierge system generates updated item embeddings and updated user embeddings that account for the recent interactions by users with items. The online concierge system compares performance of the model using the updated item embeddings and the updated user embeddings relative to performance of the model using the existing item embeddings and user embeddings. If the performance of the model decreases, the online concierge system adjusts the updated user embeddings and the updated item embeddings based on the change in performance of the model. The adjusted updated user embeddings and adjusted updated item embeddings are stored for use by the model.
    Type: Application
    Filed: October 29, 2021
    Publication date: May 4, 2023
    Inventors: Chuanwei Ruan, Ramasubramanian Balasubramanian, Peng Qi