Patents by Inventor Zhen Wen

Zhen Wen 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: 20240235442
    Abstract: A low-loss motor may include a casing, a rear cover, and a rotatable shaft. The rotatable shaft may have a first end contacting the rear cover and a second end. An end face of the first end of the rotatable shaft may have a first shape and a contact surface of the rear cover may have a second shape, the second shape being different than the first shape.
    Type: Application
    Filed: May 11, 2022
    Publication date: July 11, 2024
    Applicant: Intex Marketing Ltd.
    Inventors: Zhi Xiong Huang, Ying Biao Zhang, Zhen Wen Lin
  • Patent number: 11666905
    Abstract: Disclosed is a triboelectric nanogenerator-based biochemical droplet reaction device, which includes a reaction generating part and a power generation part. The power generation part includes a triboelectric component and a rectifier circuit. The triboelectric component includes a drive electrode, a substrate, a first friction electrode, a first friction material, a second friction material, and a second friction electrode arranged in sequence from top to bottom. A gap exists between the first friction material and the second friction material. The first friction electrode is connected to the first friction material. The second friction electrode is connected to the second friction material. The drive electrode, the first friction electrode, and the second friction electrode are all connected to the rectifier circuit. Also disclosed is a reaction method.
    Type: Grant
    Filed: December 11, 2020
    Date of Patent: June 6, 2023
    Assignee: SOOCHOW UNIVERSITY
    Inventors: Haibo Huang, Hao Shen, Zhen Wen, Liguo Chen, Hao Lei, Jizhu Liu, Yangjun Wang, Cihai Dai
  • Publication number: 20220355293
    Abstract: Disclosed is a triboelectric nanogenerator-based biochemical droplet reaction device, which includes a reaction generating part and a power generation part. The power generation part includes a triboelectric component and a rectifier circuit. The triboelectric component includes a drive electrode, a substrate, a first friction electrode, a first friction material, a second friction material, and a second friction electrode arranged in sequence from top to bottom. A gap exists between the first friction material and the second friction material. The first friction electrode is connected to the first friction material. The second friction electrode is connected to the second friction material. The drive electrode, the first friction electrode, and the second friction electrode are all connected to the rectifier circuit. Also disclosed is a reaction method.
    Type: Application
    Filed: December 11, 2020
    Publication date: November 10, 2022
    Inventors: Haibo HUANG, Hao SHEN, Zhen WEN, Liguo CHEN, Hao LEI, Jizhu LIU, Yangjun WANG, Cihai DAI
  • Patent number: 11182683
    Abstract: A method includes generating, as executed by a processor on a computer, a plurality of topic-specific user knowledge models for each user of a plurality of users, each topic-specific user knowledge model representing a level of knowledge possessed by a respective user on a single topic from a set of globally defined topics shared among the plurality of users, generating a plurality of topic-specific expert knowledge models, each topic-specific expert knowledge model representing an aggregate level of knowledge possessed by a plurality of expert users on a single topic from a set of globally defined topics shared among the plurality of users, comparing the topic-specific user knowledge model of the first user with the topic-specific expert knowledge model for a respective topic to determine a distance between a user knowledge level and an aggregate expert knowledge level for the topic.
    Type: Grant
    Filed: February 9, 2016
    Date of Patent: November 23, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Jie Lu, Jeffrey S. Boston, Anni R. Coden, Jennifer Lai, Shimei Pan, Mercan Topkara, Zhen Wen, Stephen P. Wood
  • Patent number: 11182684
    Abstract: A system includes a user model module that generates a plurality of topic-specific user knowledge models for each user of a plurality of users, each topic-specific user knowledge model representing a level of knowledge possessed by a respective user on a single topic from a set of globally defined topics shared among the plurality of users, a expertise model building module that generates a plurality of topic-specific expert knowledge models, each topic-specific expert knowledge model representing an aggregate level of knowledge possessed by a plurality of expert users on a single topic from a set of globally defined topics shared among the plurality of users, and a processor of a computer that executes instructions for comparing the topic-specific user knowledge model of the first user with the topic-specific expert knowledge model for a respective topic to determine a distance between a user knowledge level and an aggregate expert knowledge level for the topic.
    Type: Grant
    Filed: February 9, 2016
    Date of Patent: November 23, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Jie Lu, Jeffrey S. Boston, Anni R. Coden, Jennifer Lai, Shimei Pan, Mercan Topkara, Zhen Wen, Stephen P. Wood
  • Patent number: 11080427
    Abstract: The present disclosure provides label data leakage channel detection methods and apparatuses. According to one exemplary label data leakage channel detection method, detection labels are generated based on normal labels of a user. The detection labels can be associated with different data usage channels, so as to indirectly detect usage of the detection labels. Possible data leakage channels can be effectively detected based on massive data indexing and searching. One exemplary apparatus of the present disclosure includes a detection label adding module, a channel association module, an interception module, an intercepted information analysis module, a channel searching module, and an output module. The detection methods and apparatuses provided by the present disclosure have the advantages of high detection efficiency and the capability of processing massive and dynamic user label data.
    Type: Grant
    Filed: May 14, 2020
    Date of Patent: August 3, 2021
    Assignee: ALIBABA GROUP HOLDING LIMITED
    Inventor: Zhen Wen
  • Patent number: 10776710
    Abstract: Techniques for multimodal data fusion having a multimodal hierarchical dictionary learning framework that learns latent subspaces with hierarchical overlaps are provided. In one aspect, a method for multi-view data fusion with hierarchical multi-view dictionary learning is provided which includes the steps of: extracting multi-view features from input data; defining feature groups that group together the multi-view features that are related; defining a hierarchical structure of the feature groups; and learning a dictionary using the feature groups and the hierarchy of the feature groups. A system for multi-view data fusion with hierarchical multi-view dictionary learning is also provided.
    Type: Grant
    Filed: March 24, 2015
    Date of Patent: September 15, 2020
    Assignee: International Business Machines Corporation
    Inventors: Ching-Yung Lin, Zhen Wen, Yale Song
  • Publication number: 20200272765
    Abstract: The present disclosure provides label data leakage channel detection methods and apparatuses. According to one exemplary label data leakage channel detection method, detection labels are generated based on normal labels of a user. The detection labels can be associated with different data usage channels, so as to indirectly detect usage of the detection labels. Possible data leakage channels can be effectively detected based on massive data indexing and searching. One exemplary apparatus of the present disclosure includes a detection label adding module, a channel association module, an interception module, an intercepted information analysis module, a channel searching module, and an output module. The detection methods and apparatuses provided by the present disclosure have the advantages of high detection efficiency and the capability of processing massive and dynamic user label data.
    Type: Application
    Filed: May 14, 2020
    Publication date: August 27, 2020
    Inventor: Zhen WEN
  • Patent number: 10678946
    Abstract: The present disclosure provides label data leakage channel detection methods and apparatuses. According to one exemplary label data leakage channel detection method, detection labels are generated based on normal labels of a user. The detection labels can be associated with different data usage channels, so as to indirectly detect usage of the detection labels. Possible data leakage channels can be effectively detected based on massive data indexing and searching. One exemplary apparatus of the present disclosure includes a detection label adding module, a channel association module, an interception module, an intercepted information analysis module, a channel searching module, and an output module. The detection methods and apparatuses provided by the present disclosure have the advantages of high detection efficiency and the capability of processing massive and dynamic user label data.
    Type: Grant
    Filed: June 27, 2018
    Date of Patent: June 9, 2020
    Assignee: ALIBABA GROUP HOLDING LIMITED
    Inventor: Zhen Wen
  • Publication number: 20190299812
    Abstract: A heat-dissipating device configured to cool the battery pack of an electric vehicle includes a coolant circulating pump and a tank. The coolant circulating pump is configured to engage with the one or more heat dissipation pipes of the electric vehicle and communicate with the one or more heat dissipation pipes. The tank is configured to contain coolant which includes phase change material. When cooling is required, for example during battery recharging, the coolant circulating pump is configured to inject the coolant in the tank into the one or more heat dissipation pipes via the coolant inlet, drive the coolant to flow in the one or more heat dissipation pipes, and take the coolant out from the one or more heat dissipation pipes via the coolant outlet to the exterior. A related electric vehicle and a related heat dissipation method are also provided.
    Type: Application
    Filed: May 20, 2019
    Publication date: October 3, 2019
    Inventors: HONG-DA DU, ZHEN-WEN JIANG, WEI CHEN, LIN GAN, JIA LI, XIN-WEI ZHENG, CHENG-JUN XU, XIAO-DONG CHU, YOU-WEI YAO, BAO-HUA LI, QUAN-HONG YANG, YAN-BING HE, FEI-YU KANG
  • Publication number: 20180314856
    Abstract: The present disclosure provides label data leakage channel detection methods and apparatuses. According to one exemplary label data leakage channel detection method, detection labels are generated based on normal labels of a user. The detection labels can be associated with different data usage channels, so as to indirectly detect usage of the detection labels. Possible data leakage channels can be effectively detected based on massive data indexing and searching. One exemplary apparatus of the present disclosure includes a detection label adding module, a channel association module, an interception module, an intercepted information analysis module, a channel searching module, and an output module. The detection methods and apparatuses provided by the present disclosure have the advantages of high detection efficiency and the capability of processing massive and dynamic user label data.
    Type: Application
    Filed: June 27, 2018
    Publication date: November 1, 2018
    Inventor: Zhen WEN
  • Patent number: 9779161
    Abstract: Visualizing social media conflict is provided. Active users in a set of human users authoring a number of textual messages regarding a particular topic more than a threshold number of textual messages are selected. Keywords are selected that occur more than a threshold number of times within the textual messages regarding the particular topic. A sentiment score is computed for each of the keywords occurring more than the threshold number of times within the textual messages using a keyword co-occurrence graph. A sentiment of each of the active users is determined based on the computed sentiment score of each of the selected keywords that are authored by a particular active user. Two distinct groups from the active users are selected based on at least one of a relationship between the two distinct groups and a determined degree of conflict between the two distinct groups with regard to the particular topic.
    Type: Grant
    Filed: January 13, 2016
    Date of Patent: October 3, 2017
    Assignee: International Business Machines Corporation
    Inventors: Nan Cao, Ching-Yung Lin, Fei Wang, Zhen Wen
  • Patent number: 9727821
    Abstract: A dataset including at least one temporal event sequence is collected. A one-class sequence classifier f(x) that obtains a decision boundary is statistically learned. At least one new temporal event sequence is evaluated, wherein the at least one new temporal event sequence is outside of the dataset. It is determined whether the at least one new temporal event sequence is one of a normal sequence or an abnormal sequence based on the evaluation. Numerous additional aspects are disclosed.
    Type: Grant
    Filed: August 16, 2013
    Date of Patent: August 8, 2017
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Ching-Yung Lin, Yale Song, Zhen Wen
  • Patent number: 9633140
    Abstract: Automated contextual information retrieval techniques are provided based on multi-tiered user modeling and a dynamic retrieval strategy. Content relevant to a current message is presented by initially obtaining a multi-tiered user model containing a multi-tiered representation of interactions of a first user with each contact, wherein the multi-tiered representation includes a plurality of topic models each corresponding to interactions between the first user and one contact. The topic models contain a set of topics, each containing topic keywords. Context information is extracted based on content of the current message, a sender and/or a recipient of the current message, and the multi-tiered user model. A retrieval strategy is determined based on the extracted context information. Contextual queries are generated to search the information repositories selected based on the determined retrieval strategy.
    Type: Grant
    Filed: February 10, 2011
    Date of Patent: April 25, 2017
    Assignee: International Business Machines Corporation
    Inventors: Jennifer Lai, Jie Lu, Shimei Pan, Zhen Wen
  • Patent number: 9578308
    Abstract: Video capture devices may be held in a frame having at least two openings and a plurality of slots on a first side and a plurality of tabs on a second side opposite the first side, the slots and tabs positioned such that when the frame is folded by folding the first side toward the second side, the tabs may be folded toward the first side, inserted into the slots and then folded parallel to the first side to secure the frame in a closed position. An application on a first device in the frame may establish a connection with a second device in the frame, synchronize a clock in the first device with a clock in the second device, initiating simultaneous video capture, record data indicating changes in orientation of the devices, and transmit the captured videos and the data indicating changes in orientation to a video processing tool.
    Type: Grant
    Filed: December 17, 2014
    Date of Patent: February 21, 2017
    Assignee: GOOGLE INC.
    Inventors: Charles Perng, Haixun Wang, Hao Yang, Zhen Wen
  • Publication number: 20160283858
    Abstract: Techniques for multimodal data fusion having a multimodal hierarchical dictionary learning framework that learns latent subspaces with hierarchical overlaps are provided. In one aspect, a method for multi-view data fusion with hierarchical multi-view dictionary learning is provided which includes the steps of: extracting multi-view features from input data; defining feature groups that group together the multi-view features that are related; defining a hierarchical structure of the feature groups; and learning a dictionary using the feature groups and the hierarchy of the feature groups. A system for multi-view data fusion with hierarchical multi-view dictionary learning is also provided.
    Type: Application
    Filed: March 24, 2015
    Publication date: September 29, 2016
    Inventors: Ching-Yung Lin, Zhen Wen, Yale Song
  • Publication number: 20160182888
    Abstract: Video capture devices may be held in a frame having at least two openings and a plurality of slots on a first side and a plurality of tabs on a second side opposite the first side, the slots and tabs positioned such that when the frame is folded by folding the first side toward the second side, the tabs may be folded toward the first side, inserted into the slots and then folded parallel to the first side to secure the frame in a closed position. An application on a first device in the frame may establish a connection with a second device in the frame, synchronize a clock in the first device with a clock in the second device, initiating simultaneous video capture, record data indicating changes in orientation of the devices, and transmit the captured videos and the data indicating changes in orientation to a video processing tool.
    Type: Application
    Filed: December 17, 2014
    Publication date: June 23, 2016
    Inventors: Charles Perng, Haixun Wang, Hao Yang, Zhen Wen
  • Publication number: 20160162792
    Abstract: A system includes a user model module that generates a plurality of topic-specific user knowledge models for each user of a plurality of users, each topic-specific user knowledge model representing a level of knowledge possessed by a respective user on a single topic from a set of globally defined topics shared among the plurality of users, a expertise model building module that generates a plurality of topic-specific expert knowledge models, each topic-specific expert knowledge model representing an aggregate level of knowledge possessed by a plurality of expert users on a single topic from a set of globally defined topics shared among the plurality of users, and a processor of a computer that executes instructions for comparing the topic-specific user knowledge model of the first user with the topic-specific expert knowledge model for a respective topic to determine a distance between a user knowledge level and an aggregate expert knowledge level for the topic.
    Type: Application
    Filed: February 9, 2016
    Publication date: June 9, 2016
    Inventors: Jie Lu, Jeffrey S. Boston, Anni R. Coden, Jennifer Lai, Shimei Pan, Mercan Topkara, Zhen Wen, Stephen P. Wood
  • Publication number: 20160155057
    Abstract: A method includes generating, as executed by a processor on a computer, a plurality of topic-specific user knowledge models for each user of a plurality of users, each topic-specific user knowledge model representing a level of knowledge possessed by a respective user on a single topic from a set of globally defined topics shared among the plurality of users, generating a plurality of topic-specific expert knowledge models, each topic-specific expert knowledge model representing an aggregate level of knowledge possessed by a plurality of expert users on a single topic from a set of globally defined topics shared among the plurality of users, comparing the topic-specific user knowledge model of the first user with the topic-specific expert knowledge model for a respective topic to determine a distance between a user knowledge level and an aggregate expert knowledge level for the topic.
    Type: Application
    Filed: February 9, 2016
    Publication date: June 2, 2016
    Inventors: Jie Lu, Jeffrey S. Boston, Anni R. Coden, Jennifer Lai, Shimei Pan, Mercan Topkara, Zhen Wen, Stephen P. Wood
  • Patent number: D1072722
    Type: Grant
    Filed: November 6, 2022
    Date of Patent: April 29, 2025
    Inventors: Xueren Zeng, Jiawei Li, Lizong Hu, Lingyan Chen, Xiaoyu Wang, Zhen Wen