Patents by Inventor Yongzheng Zhang

Yongzheng Zhang 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: 11238352
    Abstract: Techniques are provided for predicting talent flow to and/or from a geographical region. In one technique, multiple entity profiles are stored and analyzed to generate training data that is labeled indicating whether a corresponding entity has moved to or moved from a region. A machine-learned prediction model is generated or trained based on the training data. Using the machine-learned prediction model, a prediction is made whether, for each entity corresponding to another entity profile, that entity will move to or move from a particular geographic region. Based on multiple predictions, a number of entities that are predicted to move to or move from the particular geographic region is determined. Talent flow data that is based on the number of entities is presented on a computer display.
    Type: Grant
    Filed: March 30, 2018
    Date of Patent: February 1, 2022
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Chi-Yi Kuan, Shen Huang, Yu Wang, Yongzheng Zhang, Paul Ko, Shady Elasra, Fanbin Bu
  • Patent number: 11238087
    Abstract: A machine may be configured to generate an enhanced user interface for displaying social analytics based on viral mentions and threading. For example, the machine accesses a plurality of items of digital content. The machine extracts, for each of the plurality of items of digital content, a title that describes a particular item of digital content. The machine generates a group of items of digital content based on the extracted titles associated with the plurality of items of digital content. The machine identifies, from the group of items of digital content, an original item of digital content and one or more subsequent items of digital content. The machine determines a strength value associated with the original item of digital content. The machine generates and causes a display of an enhanced user interface that displays the title and the strength value associated with the original item of digital content.
    Type: Grant
    Filed: December 21, 2017
    Date of Patent: February 1, 2022
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Weiqin Ma, Weidong Zhang, Yongzheng Zhang, Chi-Yi Kuan
  • Patent number: 11180459
    Abstract: Disclosed herein are compounds of formula I and salts thereof. Also disclosed are compositions comprising compounds of formula I and methods using compounds of formula I.
    Type: Grant
    Filed: March 9, 2018
    Date of Patent: November 23, 2021
    Assignee: RUTGERS, THE STATE UNIVERSITY OF NEW JERSEY
    Inventors: Edmond J. LaVoie, Ajit Parhi, Yongzheng Zhang, Yi Yuan, Yangsheng Sun
  • Patent number: 11129814
    Abstract: The invention provides synthetic methods and synthetic intermediates that are useful for preparing the antibacterial compound:
    Type: Grant
    Filed: August 2, 2018
    Date of Patent: September 28, 2021
    Assignee: TAXIS PHARMACEUTICALS, INC.
    Inventors: Edmond J. LaVoie, Ajit Parhi, Daniel S. Pilch, Yongzheng Zhang, Malvika Kaul
  • Patent number: 11120092
    Abstract: A method and system for determining links for a linking page are provided. For each linking page of a plurality of linking pages, a similarity score between each linking page and each linked-to page is generated. Each linked-to page is associated with each linking page. Based on the similarity scores generated for each linking page, a set of linked-to pages for each linking page is identified. An importance score for the linking page is also generated. Identities of the plurality of linking pages, identities of the set of linked-to pages identified for each linking page, and the importance score for each linking page are stored as input. Based on the input, for each linking page, a subset of the set of linked-to pages identified for each linking page is assigned by a model.
    Type: Grant
    Filed: December 28, 2018
    Date of Patent: September 14, 2021
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Michael Charles Zinzan Fairley, Shen Huang, Huan Hoang, Yongzheng Zhang
  • Patent number: 11089048
    Abstract: A spammer profile detector uses multi-stage machine learning approach, where a content-based machine learning model, a connection graph machine learning model, and a behavior-based machine learning model are used sequentially, each model generating a score indicating the likelihood that a profile is a spammer profile. The content-based machine learning model examines and evaluates information stored in a member profile. The connection graph machine learning model examines and evaluates a member's connections. The behavior-based machine learning model examines and evaluates activities of a member represented by a member profile. The score produced by the spammer profile detector can be used to determine whether the profile should be flagged as a spammer profile, whether the profile should be omitted when determining a count of the total number of active member profiles within the system, whether the profile should be restricted or removed from the system, etc.
    Type: Grant
    Filed: September 27, 2018
    Date of Patent: August 10, 2021
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Yongzheng Zhang, Kaiyu Yang, Li Yang, Bing Wang
  • Patent number: 11036700
    Abstract: Methods, systems, and computer programs are presented for selecting features for a machine-learning model configured to detect anomalies in the evolution of data over time. One method includes an operation for identifying one or more key fields and value fields from the fields in a relational database. The method also includes grouping data of the value fields based on values of the one or more key fields and calculating one or more statistical values for each group of data of the value fields. The method further includes operations for monitoring an evolution of the one or more statistical values over time, and for selecting, based on the evolution of the one or more statistical values over time, features to be used by a machine-learning model to detect anomalies in content of the relational database over time. The method also includes executing the machine-learning model to detect the anomalies.
    Type: Grant
    Filed: December 31, 2018
    Date of Patent: June 15, 2021
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Shen Huang, Huan Van Hoang, Yongzheng Zhang, Chi-Yi Kuan
  • Publication number: 20210137881
    Abstract: Disclosed herein are compounds of formula I: and salts thereof. Also disclosed are compositions comprising compounds of formula I and methods using compounds of formula I.
    Type: Application
    Filed: March 9, 2018
    Publication date: May 13, 2021
    Applicant: RUTGERS, THE STATE UNIVERISTY OF NEW JERSEY
    Inventors: Edmond J. LaVoie, Ajit Parhi, Yongzheng Zhang
  • Patent number: 10990643
    Abstract: Techniques for automatically linking pages in a web site are provided. In one technique, training data for a machine-learned scoring model is generated that comprises a plurality of features related to content items. The training data comprises multiple entries, each corresponding to a different content item in a first set of content items. For each entry, a corresponding label is based on a ranking of the corresponding content item in one or more search engine results. The machine-learned scoring model is trained based on the training data. For each content item in a second set of content items, multiple attribute values associated with that content item are input into the machine-learned scoring model, which generates a result. Based on multiple results, determining, for a particular web page, a strict subset of the second set of content items to which the particular web page will include one or more links.
    Type: Grant
    Filed: March 30, 2018
    Date of Patent: April 27, 2021
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Qingbo Hu, Huan Hoang, Yongzheng Zhang, Chia Lung Kao
  • Publication number: 20210094912
    Abstract: Disclosed herein are compounds of formula (I): and salts thereof. Also disclosed are compositions comprising compounds of formula I and compounds of formula I for use in treating or preventing bacterial infections.
    Type: Application
    Filed: March 9, 2018
    Publication date: April 1, 2021
    Applicant: RUTGERS, THE STATE UNIVERISTY OF NEW JERSEY
    Inventors: Edmond J. LaVoie, Ajit Parhi, Yi Yuan, Yongzheng Zhang, Yangsheng Sun
  • Publication number: 20210097425
    Abstract: The disclosed embodiments provide a system for processing data. During operation, the system determines output of a machine learning model, which includes a score generated by the model based on features inputted into the model and feature importance metrics representing effects of the features on the score. Next, the system maps the features to elements in a feature hierarchy that groups the features under a first level of parent features. The system also generates a ranking of the first level of parent features based on the feature importance metrics. The system then combines, based on the ranking, feature values of the mapped features with a set of insight templates to produce a list of narrative insights, wherein each narrative insight includes a natural language description of a factor that contributes to the model's output. Finally, the system outputs the list of narrative insights in a user interface.
    Type: Application
    Filed: September 26, 2019
    Publication date: April 1, 2021
    Inventors: Jilei Yang, Yongzheng Zhang, Shen Huang, Burcu Baran, Chi-Yi Kuan
  • Publication number: 20200387517
    Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for search result page ranking optimization. When generating a search result page, a search result optimization system generates links to other related search result pages and adds them to the generates search result page. Adding the generates links enables internet search engines to discover additional search results pages, as well as increases their search ranking. The search result optimization system generates the links based on entity values extracted from the search results page. For example, the search result optimization system extracts entity values based on filter categories available for the search results included in the search result page as well as historical search behavior indicating a number of times that users have selected to filter search results based on the identified filter categories.
    Type: Application
    Filed: June 4, 2019
    Publication date: December 10, 2020
    Inventors: Shen Huang, Huan Van Hoang, Yongzheng Zhang, Chi-Yi Kuan
  • Patent number: 10836706
    Abstract: Disclosed herein are compounds of formula I: and salts thereof. Also disclosed are compositions comprising compounds of formula I and methods using compounds of formula I.
    Type: Grant
    Filed: February 23, 2017
    Date of Patent: November 17, 2020
    Assignee: Rutgers, The State University of New Jersey
    Inventors: Edmond J. LaVoie, Ajit Parhi, Gifty A. Blankson, Liping Wang, Xiao Chen, Yongzheng Zhang, Malvika Kaul, Daniel S. Pilch
  • Patent number: 10839406
    Abstract: The disclosed embodiments provide a system for performing A/B testing for search engine optimization (SEO). During operation, the system divides a set of web pages into a control group, an inbound treatment group, an outbound treatment group, and a full treatment group. Next, the system generates a first set of links from the outbound treatment group to the inbound treatment group and a second set of links within the full treatment group. The system then applies an A/B test to pairs of groups selected from the control group, the inbound treatment group, the outbound treatment group, and the full treatment group. Finally, the system outputs a result of the A/B test for use in assessing an effect of the first and second sets of links on search engine results associated with the set of web pages.
    Type: Grant
    Filed: June 28, 2018
    Date of Patent: November 17, 2020
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Quan Wang, Huan V. Hoang, Shen Huang, Yongzheng Zhang, Chi-Yi Kuan
  • Publication number: 20200314201
    Abstract: An embodiment of the disclosed technologies includes extracting, from an online connection network, digital data comprising target profile data and current profile data; where the target profile data is associated with an online submission process that has a plurality of possible outcomes and is executable via the online connection network; where the current profile data is associated with a member node of the online connection network; using an active learning process, in response to the current profile data, identifying attribute data that is in the target profile data but is not in the current profile data and is predicted to have a relationship with a positive outcome of the online submission process; outputting the attribute data for use by a downstream process or an automated digital assistant to determine a digital resource to associate with the member node through the online connection network or through an online learning system.
    Type: Application
    Filed: March 29, 2019
    Publication date: October 1, 2020
    Inventors: Kaiyu Yang, Li Yang, Yongzheng Zhang, Shen Huang, Clayton Sanford
  • Patent number: 10733221
    Abstract: A system and method for identifying trending topics in a document corpus are provided. First, multiple topics are identified, some of which topics may be filtered or removed based on co-occurrence. Then, for each remaining topic, a frequency of the topic in the document corpus is determined, one or more frequencies of the topic in one or more other document corpora are determined, a trending score of the topic is generated based on the determined frequencies. Lastly, the remaining topics are ranked based on the generated trending scores.
    Type: Grant
    Filed: March 30, 2016
    Date of Patent: August 4, 2020
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Yongzheng Zhang, Rui Zhao, Chi-Yi Kuan, Yi Zheng
  • Patent number: 10733252
    Abstract: In one technique, one or more search criteria associated with a first user are determined. Based on the one or more search criteria, a search of a first set of users is performed. As a result of the search, a subset of the first set of users is identified. A second set of users that have responded to messages from users in the subset is identified. Instances of attribute values of an attribute of the second set of users are aggregated to generate aggregated values, each of which corresponds to a different attribute value of the attribute values. Based on one or more of the aggregated values, content that is related to one or more attribute values that correspond to the one or more aggregated values is determined and presented to the first user.
    Type: Grant
    Filed: June 30, 2018
    Date of Patent: August 4, 2020
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Shen Huang, Hu Wang, Zhou Jin, Yongzheng Zhang
  • Patent number: 10733572
    Abstract: Techniques for delaying the transmission of a message to one or more recipients using an alert in order to provide data protection and security with respect to data included in the message are disclosed herein. In some embodiments, a computer-implemented method comprises: receiving a request to transmit a message from a computing device of a user to a recipient, the request comprising content of the message; detecting an issue with the request using at least one classifier to classify the request as having the issue; generating an alert based on the detecting of the issue; and prior to transmitting the message to a destination associated with the recipient, causing the generated alert to be displayed on the computing device of the user, the alert indicating the issue with the message.
    Type: Grant
    Filed: December 22, 2017
    Date of Patent: August 4, 2020
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Shen Huang, Yongzheng Zhang, Chi-Yi Kuan
  • Publication number: 20200210390
    Abstract: Methods, systems, and computer programs are presented for selecting features for a machine-learning model configured to detect anomalies in the evolution of data over time. One method includes an operation for identifying one or more key fields and value fields from the fields in a relational database. The method also includes grouping data of the value fields based on values of the one or more key fields and calculating one or more statistical values for each group of data of the value fields. The method further includes operations for monitoring an evolution of the one or more statistical values over time, and for selecting, based on the evolution of the one or more statistical values over time, features to be used by a machine-learning model to detect anomalies in content of the relational database over time. The method also includes executing the machine-learning model to detect the anomalies.
    Type: Application
    Filed: December 31, 2018
    Publication date: July 2, 2020
    Inventors: Shen Huang, Huan Van Hoang, Yongzheng Zhang, Chi-Yi Kuan
  • Publication number: 20200197382
    Abstract: Disclosed herein are compounds of formula I and salts thereof. Also disclosed are compositions comprising compounds of formula I and methods using compounds of formula I.
    Type: Application
    Filed: May 25, 2018
    Publication date: June 25, 2020
    Applicant: RUTGERS, THE STATE UNIVERSITY OF NEW JERSEY
    Inventors: Edmond J. LaVoie, Ajit Parhi, Yi Yuan, Yongzheng Zhang, Yangsheng Sun