Patents by Inventor Chenyi Li
Chenyi Li 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: 20250058379Abstract: The present application provides a preparation method for iridium nanocrystal, including the following steps: mixing an iridium salt, an alcohol solvent and a centrifugal waste liquid to form a mixed solution, and adding an alkali solution in an inert atmosphere for a heating reaction. After centrifugation, an iridium nanocrystal is obtained. The centrifugal waste liquid is a waste liquid produced in the pre-synthesis process of iridium nanocrystal. The preparation method can shorten the reaction time, and the obtained iridium nanocrystal has the advantages of high yield and low cost.Type: ApplicationFiled: November 5, 2024Publication date: February 20, 2025Inventors: Yanfei WANG, Yinglong YU, Chenyi SHAO, Chuan LONG, Qinfeng ZHAO, Jingjing WANG, Yeheng HE, Qingxun LI
-
Publication number: 20250053564Abstract: System and methods are presented for associating a user-posted content item with an interest node of an interest taxonomy. A corpus of content items and an interest taxonomy are maintained. The interest taxonomy comprises interest nodes organized in a hierarchical organization, each node having a text label descriptive of the interest node. Additionally, the content items of the corpus are associated with one or more interest nodes of the interest taxonomy. Upon receiving a user-posted content item, feature sets of the received content item are generated, these feature sets based on features and/or aspects of the received content item. After generating at least one feature set, the at least one feature set is provided to an interest prediction model that generates candidate interest nodes for the user-posted content item. At least some of the candidate interest nodes are associated with the user-posted content item in the corpus.Type: ApplicationFiled: October 30, 2024Publication date: February 13, 2025Applicant: Pinterest, Inc.Inventors: Chenyi Li, Yunsong Guo, Yu Liu
-
Publication number: 20250037113Abstract: The present disclosure provides a method for opening a digital wallet, a wallet application terminal, and a system. The method comprises: acquiring, from a digital currency issuer agency server, a list of operating agency servers that can open a digital wallet and displaying the list of operating agency servers, so that a user selects a target operating agency server from the list of operating agency servers; communicating with the target operating agency server, so that the target operating agency server verifies the user; when the verification is passed, sending a digital wallet opening request to the digital currency issuer agency server, so that the digital currency issuer agency server notifies the target operating agency server to perform a digital wallet opening operation, or sending a digital wallet opening request to the target operating agency server, so that the target operating agency server performs a digital wallet opening operation.Type: ApplicationFiled: July 22, 2022Publication date: January 30, 2025Inventors: Zhuo CHENG, Guangyao LI, Chenyi PENG
-
Patent number: 12153583Abstract: System and methods are presented for associating a user-posted content item with an interest node of an interest taxonomy. A corpus of content items and an interest taxonomy are maintained. The interest taxonomy comprises interest nodes organized in a hierarchical organization, each node having a text label descriptive of the interest node. Additionally, the content items of the corpus are associated with one or more interest nodes of the interest taxonomy. Upon receiving a user-posted content item, feature sets of the received content item are generated, these feature sets based on features and/or aspects of the received content item. After generating at least one feature set, the at least one feature set is provided to an interest prediction model that generates candidate interest nodes for the user-posted content item. At least some of the candidate interest nodes are associated with the user-posted content item in the corpus.Type: GrantFiled: September 20, 2019Date of Patent: November 26, 2024Assignee: Pinterest, Inc.Inventors: Chenyi Li, Yunsong Guo, Yu Liu
-
Publication number: 20240211698Abstract: Systems and methods are presented for inferring an embedding vector of an item of a first type into the embedding space. Upon receiving a first time for which there is no embedding vector, documents of a document corpus that include (co-occurrence) both the received item and other items of the same type are identified. Of those other items that have embedding vectors, those embedding vectors are retrieved and averaged. The resulting averaged embedding vector is established as an inferred embedding vector for the received item.Type: ApplicationFiled: March 4, 2024Publication date: June 27, 2024Applicant: Pinterest, Inc.Inventors: Heath Vinicombe, Chenyi Li, Yunsong Guo, Yu Liu
-
Patent number: 11960846Abstract: Systems and methods are presented for inferring an embedding vector of an item of a first type into the embedding space. Upon receiving a first time for which there is no embedding vector, documents of a document corpus that include (co-occurrence) both the received item and other items of the same type are identified. Of those other items that have embedding vectors, those embedding vectors are retrieved and averaged. The resulting averaged embedding vector is established as an inferred embedding vector for the received item.Type: GrantFiled: May 10, 2023Date of Patent: April 16, 2024Assignee: Pinterest, Inc.Inventors: Heath Vinicombe, Chenyi Li, Yunsong Guo, Yu Liu
-
Patent number: 11797775Abstract: Systems and methods are presented for inferring an embedding vector of an item of a first type into the embedding space. Upon receiving a first time for which there is no embedding vector, documents of a document corpus that include (co-occurrence) both the received item and other items of the same type are identified. Of those other items that have embedding vectors, those embedding vectors are retrieved and averaged. The resulting averaged embedding vector is established as an inferred embedding vector for the received item.Type: GrantFiled: September 12, 2019Date of Patent: October 24, 2023Assignee: Pinterest, Inc.Inventors: Heath Vinicombe, Chenyi Li, Yunsong Guo, Yu Liu
-
Publication number: 20230281395Abstract: Systems and methods are presented for inferring an embedding vector of an item of a first type into the embedding space. Upon receiving a first time for which there is no embedding vector, documents of a document corpus that include (co-occurrence) both the received item and other items of the same type are identified. Of those other items that have embedding vectors, those embedding vectors are retrieved and averaged. The resulting averaged embedding vector is established as an inferred embedding vector for the received item.Type: ApplicationFiled: May 10, 2023Publication date: September 7, 2023Applicant: Pinterest, Inc.Inventors: Heath Vinicombe, Chenyi Li, Yunsong Guo, Yu Liu
-
Publication number: 20210089539Abstract: System and methods are presented for associating a user-posted content item with an interest node of an interest taxonomy. A corpus of content items and an interest taxonomy are maintained. The interest taxonomy comprises interest nodes organized in a hierarchical organization, each node having a text label descriptive of the interest node. Additionally, the content items of the corpus are associated with one or more interest nodes of the interest taxonomy. Upon receiving a user-posted content item, feature sets of the received content item are generated, these feature sets based on features and/or aspects of the received content item. After generating at least one feature set, the at least one feature set is provided to an interest prediction model that generates candidate interest nodes for the user-posted content item. At least some of the candidate interest nodes are associated with the user-posted content item in the corpus.Type: ApplicationFiled: September 20, 2019Publication date: March 25, 2021Inventors: Chenyi Li, Yunsong Guo, Yu Liu