Patents by Inventor Jinyin Zhang
Jinyin 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).
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Patent number: 11921819Abstract: A defense method against adversarial examples based on feature remapping, includes the following steps: building the feature remapping model, the feature remapping model is composed of the significant feature generation model and the nonsignificant feature generation model, and a shared discriminant model, the significant generation model is used to generate significant features, the nonsignificant generation model is used to generate nonsignificant features, and the shared discriminant model is used to discriminate fake or true of generated significant and nonsignificant features.Type: GrantFiled: July 21, 2020Date of Patent: March 5, 2024Assignee: ZHEJIANG UNIVERSITY OF TECHNOLOGYInventors: Jinyin Chen, Haibin Zheng, Longyuan Zhang, Xueke Wang
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Publication number: 20230259970Abstract: Described are systems and methods to determine advertisements to be presented to a user. To determine the advertisements to be presented to the user, the described systems and methods utilize localized contextual information to select the advertisements and the relative positioning of the advertisements to be presented, so as to select and present more relevant advertisements based on the content that is surrounding and proximate to the presentation of the selected advertisements.Type: ApplicationFiled: February 16, 2022Publication date: August 17, 2023Inventors: Jinyin Zhang, Liangzhe Chen, Jiajing Xu
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Patent number: 9524310Abstract: Data processing includes accessing a product category tree, the product category tree comprising a plurality of hierarchical levels. A leaf category level of the plurality of hierarchical levels comprises a leaf category node. The leaf category node includes product information. The product information comprises a plurality of product attribute parameters. The plurality of product attribute parameters comprises standard product information. Data processing further includes selecting, among the plurality of product attribute parameters that correspond to the leaf category node, a representative product attribute parameter that is representative of the product information; and partitioning standard product information of the leaf category node to obtain a plurality of sets using the representative product attribute parameter, wherein each of the plurality of sets includes at least some of the standard product information.Type: GrantFiled: October 24, 2014Date of Patent: December 20, 2016Assignee: Alibaba Group Holding LimitedInventors: Haijie Gu, Ningjun Su, Qifeng Dai, Haiping Ma, Jinyin Zhang, Enhong Chen
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Publication number: 20150100585Abstract: Data processing includes accessing a product category tree, the product category tree comprising a plurality of hierarchical levels. A leaf category level of the plurality of hierarchical levels comprises a leaf category node. The leaf category node includes product information. The product information comprises a plurality of product attribute parameters. The plurality of product attribute parameters comprises standard product information. Data processing further includes selecting, among the plurality of product attribute parameters that correspond to the leaf category node, a representative product attribute parameter that is representative of the product information; and partitioning standard product information of the leaf category node to obtain a plurality of sets using the representative product attribute parameter, wherein each of the plurality of sets includes at least some of the standard product information.Type: ApplicationFiled: October 24, 2014Publication date: April 9, 2015Inventors: Haijie Gu, Ningjun Su, Qifeng Dai, Haiping Ma, Jinyin Zhang, Enhong Chen
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Publication number: 20150051974Abstract: Recommending network object information to a user includes, for each of a plurality of network objects, a respective plurality of behavior frequencies by the user is determined; a network object among the plurality of network objects that is of interest to the user is identified, the identification being based at least in part on the respective plurality of behavior frequencies that corresponds to each of the plurality of network objects; and additional information relating to the identified network object is provided to the user.Type: ApplicationFiled: August 27, 2014Publication date: February 19, 2015Inventors: Jinyin Zhang, Zhixiong Yang, Xinyu Peng
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Patent number: 8903868Abstract: Data processing includes accessing a product category tree, the product category tree comprising a plurality of hierarchical levels. A leaf category level of the plurality of hierarchical levels comprises a leaf category node. The leaf category node includes product information. The product information comprises a plurality of product attribute parameters. The plurality of product attribute parameters comprises standard product information. Data processing further includes selecting, among the plurality of product attribute parameters that correspond to the leaf category node, a representative product attribute parameter that is representative of the product information; and partitioning standard product information of the leaf category node to obtain a plurality of sets using the representative product attribute parameter, wherein each of the plurality of sets includes at least some of the standard product information.Type: GrantFiled: November 27, 2013Date of Patent: December 2, 2014Assignee: Alibaba Group Holding LimitedInventors: Haijie Gu, Ningjun Su, Qifeng Dai, Haiping Ma, Jinyin Zhang, Enhong Chen
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Patent number: 8898283Abstract: Recommending network object information to a user includes, for each of a plurality of network objects, a respective plurality of behavior frequencies by the user is determined; a network object among the plurality of network objects that is of interest to the user is identified, the identification being based at least in part on the respective plurality of behavior frequencies that corresponds to each of the plurality of network objects; and additional information relating to the identified network object is provided to the user.Type: GrantFiled: April 9, 2010Date of Patent: November 25, 2014Assignee: Alibaba Group Holding LimitedInventors: Jinyin Zhang, Zhixiong Yang, Xinyu Peng
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Patent number: 8856316Abstract: Recommending network object information to a user includes, for each of a plurality of network objects, a respective plurality of behavior frequencies by the user is determined; a network object among the plurality of network objects that is of interest to the user is identified, the identification being based at least in part on the respective plurality of behavior frequencies that corresponds to each of the plurality of network objects; and additional information relating to the identified network object is provided to the user.Type: GrantFiled: April 9, 2010Date of Patent: October 7, 2014Assignee: Alibaba Group Holding LimitedInventors: Jinyin Zhang, Zhixiong Yang, Xinyu Peng
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Publication number: 20140143094Abstract: Data processing includes accessing a product category tree, the product category tree comprising a plurality of hierarchical levels. A leaf category level of the plurality of hierarchical levels comprises a leaf category node. The leaf category node includes product information. The product information comprises a plurality of product attribute parameters. The plurality of product attribute parameters comprises standard product information. Data processing further includes selecting, among the plurality of product attribute parameters that correspond to the leaf category node, a representative product attribute parameter that is representative of the product information; and partitioning standard product information of the leaf category node to obtain a plurality of sets using the representative product attribute parameter, wherein each of the plurality of sets includes at least some of the standard product information.Type: ApplicationFiled: November 27, 2013Publication date: May 22, 2014Applicant: Alibaba Group Holding LimitedInventors: Haijie Gu, Ningjun Su, Qifeng Dai, Haiping Ma, Jinyin Zhang, Enhong Chen
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Patent number: 8671097Abstract: The present invention discloses a method and a system for log file analysis based on distributed computing network. The method includes: storing user identifiers and related log information into a log file; dividing the log file into target files each including the log information having the same user identifier; separately analyzing the target files to obtain analysis results using at least two nodes; and combining the analysis results of the nodes. The method thereby establishes relationships among various log files through user identifiers, and further analyzes the relationships among the user's accesses to various contents of a website.Type: GrantFiled: September 29, 2007Date of Patent: March 11, 2014Assignee: Alibaba Group Holdings LimitedInventors: Weixun Wu, Jianghua Li, Jinyin Zhang, Ang Li
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Patent number: 8626798Abstract: Data processing includes accessing a product category tree, the product category tree comprising a plurality of hierarchical levels. A leaf category level of the plurality of hierarchical levels comprises a leaf category node. The leaf category node includes product information. The product information comprises a plurality of product attribute parameters. The plurality of product attribute parameters comprises standard product information. Data processing further includes selecting, among the plurality of product attribute parameters that correspond to the leaf category node, a representative product attribute parameter that is representative of the product information; and partitioning standard product information of the leaf category node to obtain a plurality of sets using the representative product attribute parameter, wherein each of the plurality of sets includes at least some of the standard product information.Type: GrantFiled: September 19, 2011Date of Patent: January 7, 2014Assignee: Alibaba Group Holding LimitedInventors: Haijie Gu, Ningjun Su, Qifeng Dai, Haiping Ma, Jinyin Zhang, Enhong Chen
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Publication number: 20120072462Abstract: Data processing includes accessing a product category tree, the product category tree comprising a plurality of hierarchical levels. A leaf category level of the plurality of hierarchical levels comprises a leaf category node. The leaf category node includes product information. The product information comprises a plurality of product attribute parameters. The plurality of product attribute parameters comprises standard product information. Data processing further includes selecting, among the plurality of product attribute parameters that correspond to the leaf category node, a representative product attribute parameter that is representative of the product information; and partitioning standard product information of the leaf category node to obtain a plurality of sets using the representative product attribute parameter, wherein each of the plurality of sets includes at least some of the standard product information.Type: ApplicationFiled: September 19, 2011Publication date: March 22, 2012Inventors: Haijie Gu, Ningjun Su, Qifeng Dai, Haiping Ma, Jinyin Zhang, Enhong Chen
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Publication number: 20120036037Abstract: Product recommendation is disclosed, including retrieving user behavior data associated with a predetermined statistical period; sorting the user behavior data into one or more groups of data corresponding to one or more types of products based at least in part on associated product identifiers; determining a plurality of interest levels associated with the predetermined statistical period for at least one or more groups of data; determining a plurality of purchase peak probabilities using at least the plurality of interest levels, wherein a purchase peak probability is associated with a predicted likelihood of user interest in receiving recommendations associated with a type of product; ranking at least a portion of the plurality of purchase peak probabilities in response to receipt of an indication to present recommendation information; and presenting recommendation information based at least in part on the ranked at least portion of the plurality of purchase peak probabilities.Type: ApplicationFiled: August 1, 2011Publication date: February 9, 2012Inventors: Quanwu Xiao, Ningjun Su, Chang Tan, Qi Liu, Jinyin Zhang, Enhong Chen
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Publication number: 20110166987Abstract: A method and a loan access evaluation system use a loan applicant's actual business transaction information received from an online business system on which the loan applicant conducts business. In addition to the information of the loan applicant's owner, other general background business information and historical business information of the loan applicant, the method and the system obtain detailed transaction data of the loan applicant on e-commerce systems or platforms and banks, and thus have access to dynamic business data of the applicant for a more reliable loan access appraisal.Type: ApplicationFiled: September 28, 2009Publication date: July 7, 2011Applicant: Alibaba Group Holding LimitedInventors: Xiaoming Hu, Feng Li, Xin Yu Peng, Jing Gao, Wei Yan Lu, Zhengwei Zhang, Jinyin Zhang, Jian Shi, Guo dong Fan
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Publication number: 20100262692Abstract: Recommending network object information to a user includes, for each of a plurality of network objects, a respective plurality of behavior frequencies by the user is determined; a network object among the plurality of network objects that is of interest to the user is identified, the identification being based at least in part on the respective plurality of behavior frequencies that corresponds to each of the plurality of network objects; and additional information relating to the identified network object is provided to the user.Type: ApplicationFiled: April 9, 2010Publication date: October 14, 2010Inventors: Jinyin Zhang, Zhixiong Yang, Xinyu Peng
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Publication number: 20100088354Abstract: The present invention discloses a method and a system for log file analysis based on distributed computing network. The method includes: storing user identifiers and related log information into a log file; dividing the log file into target files each including the log information having the same user identifier; separately analyzing the target files to obtain analysis results using at least two nodes; and combining the analysis results of the nodes. The method thereby establishes relationships among various log files through user identifiers, and further analyzes the relationships among the user's accesses to various contents of a website.Type: ApplicationFiled: September 29, 2007Publication date: April 8, 2010Applicant: Alibaba Group Holding LimitedInventors: Weixun Wu, Jianghua Li, Jinyin Zhang, Ang Li