Patents by Inventor Na Cheng
Na Cheng 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: 11955323Abstract: The present invention provides a device for blocking plasma backflow in a process chamber to protect an air inlet structure, comprising an air inlet nozzle tightly connected to an air inlet flange. The inner cavity of the air inlet nozzle is provided with an air inlet guide body, wherein the air inlet guide body has an upper structure, a middle structure, and a lower structure, the upper, middle, and lower structures are an integrated structure, the upper, middle, and lower structures are all cylindrical, the cross-sectional diameter of the upper structure is smaller than that of the middle structure, a gas gathering area is arranged between the middle structure and the lower structure, and the middle structure and the lower structure are connected by the gas gathering area.Type: GrantFiled: February 29, 2020Date of Patent: April 9, 2024Assignee: JIANGSU LEUVEN INSTRUMENTS CO. LTDInventors: Na Li, Dongdong Hu, Xiaobo Liu, Haiyang Liu, Shiran Cheng, Song Guo, Zhihao Wu, Kaidong Xu
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Patent number: 11944954Abstract: An organic-inorganic hybrid porous material. The organic-inorganic hybrid porous material contains a doping element A are provided. In some embodiments, the element A is one or more selected from: Li, Na, K, Rb, Cs, Sr, Zn, Mg, Ca, or any combination thereof. An external specific surface area of the organic-inorganic hybrid porous material is 1 to 100 m2/g. A ratio of the external specific surface area to a total specific surface area of the organic-inorganic hybrid porous material is 0.7 to 0.9.Type: GrantFiled: October 2, 2022Date of Patent: April 2, 2024Assignee: CONTEMPORARY AMPEREX TECHNOLOGY CO., LIMITEDInventors: Jiarui Tian, Yongsheng Guo, Cong Cheng, Xinxin Zhang, Na Liu, Chuying Ouyang
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Publication number: 20240062010Abstract: Described herein are systems, apparatus, methods and computer program products for machine learning intent classification. In various embodiments, historical utterances provided by users may be utilized for bot training. Context and personally identifiable information may be removed from the utterances. The utterances may be associated with vectors. The utterances and vectors may be used to determine recommendations.Type: ApplicationFiled: October 31, 2023Publication date: February 22, 2024Applicant: Salesforce, Inc.Inventors: Anuprit KALE, Weiping PENG, Na CHENG, Rick LINDSTROM, Zachary ALEXANDER
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Publication number: 20240018452Abstract: An chip for integrated tumor cell behavior experiments, which comprises a functional area I, a functional area II, a functional area III, a functional area IV and a functional area V, wherein the functional area I comprises a cell invasion 3D co-culture plate (400) for cell invasion experiments; the functional area II comprises a cell migration culture hole (500) for cell migration experiments; the functional area III comprises a cell proliferation single-cell culture hole (600) for tumor single-cell culture; the functional area IV comprises an angiogenesis 3D co-culture plate (700) for tumor-related angiogenesis experiments; and the functional area V comprises a tumor single-cell culture hole (803), a matrix glue groove (805) and a tumor cell attraction factor hole (801) connected by matrix glue for tumor single-cell migration or invasion experiments.Type: ApplicationFiled: December 30, 2020Publication date: January 18, 2024Inventors: Zhiyuan LI, Rongqi HUANG, Shuai LI, Chao TIAN, Zuoxian LIN, Na CHENG
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Patent number: 11836450Abstract: Described herein are systems, apparatus, methods and computer program products for machine learning intent classification. In various embodiments, historical utterances provided by users may be utilized for bot training. Context and personally identifiable information may be removed from the utterances. The utterances may be associated with vectors. The utterances and vectors may be used to determine recommendations.Type: GrantFiled: November 16, 2020Date of Patent: December 5, 2023Assignee: Salesforce, Inc.Inventors: Anuprit Kale, Weiping Peng, Na Cheng, Rick Lindstrom, Zachary Alexander
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Patent number: 11790894Abstract: A system uses conversation engines to process natural language requests and conduct automatic conversations with users. The system generates responses to users in an online conversation. The system ranks generated user responses for the online conversation. The system generates a context vector based on a sequence of utterances of the conversation and generates response vectors for generated user responses. The system ranks the user responses based on a comparison of the context vectors and user response vectors. The system uses a machine learning based model that uses a pretrained neural network that supports multiple languages. The system determines a context of an utterance based on utterances in the conversation. The system generates responses and ranks them based on the context. The ranked responses are used to respond to the user.Type: GrantFiled: March 15, 2021Date of Patent: October 17, 2023Assignee: Salesforce, Inc.Inventors: Yixin Mao, Zachary Alexander, Victor Winslow Yee, Joseph R. Zeimen, Na Cheng, Chien-Sheng Wu, Wenhao Liu, Caiming Xiong
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Publication number: 20230086302Abstract: A method that includes receiving an input at an interactive conversation service that uses an intent classification model. The method may further include generating, using an encoder model of the intent classification model, a set of output vectors corresponding to the input, where the encoder model is configured to determine a set of metrics corresponding to intent classifications. The method may further include determining, using an outlier detection model of the intent classification model, whether the input is in-domain or out-of-domain (OOD) based on a first vector of the set of output vectors satisfying a domain threshold relative to one or more of the intent classifications. The method may further include outputting, by the intent classification model, a second vector of the set of output vectors that indicates the set of metrics corresponding to the intent classifications or an indication that the input is OOD.Type: ApplicationFiled: September 20, 2021Publication date: March 23, 2023Inventors: Shilpa Bhagavath, Shubham Mehrotra, Abhishek Sharma, Shashank Harinath, Na Cheng, Zineb Laraki
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Patent number: 11580179Abstract: A method and system for recommending articles including: receiving a customer request from the customer during the session; generating case data for a case, by an article recommender app; configuring a training set based on the subject and description data of the customer request; identifying, by an artificial intelligence (AI) app, a first pool of articles from a knowledge database; identifying by at least one query, a second pool of articles from a case article database to into a merged pool of articles; assigning, by the AI app, an implicit label to one of the first pool and the second pool of the articles; applying a model derived by the AI app based on customer behavior and a set of features related to the case to classify each article of the merged pool of articles based at least in part on the predicted relevance of the article.Type: GrantFiled: September 24, 2018Date of Patent: February 14, 2023Assignee: salesforce.com, inc.Inventors: Pingping Xiu, Sitaram Asur, Anjan Goswami, Ziwei Chen, Na Cheng, Suhas Satish, Jacob Nathaniel Huffman, Peter Francis White, WeiPing Peng, Aditya Sakhuja, Jayesh Govindarajan, Edgar Gerardo Velasco
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Patent number: 11544762Abstract: A system and related processing methodologies for recommending a product based on a work order are described. The system receives an input case description, including a current repair item and a current work type. Historical work orders associating a plurality of products with repair items and work types are searched for a co-occurrence of the repair item matching the current repair item, and the work type matching the current work type. Upon finding a match, the product associated with the match is added to a set of candidate products for the current work order. A similarity measure between the candidate product and current work order description, a current work type category, and popularity of the candidate product is generated and then used in the generation of a probability score for the candidate product and current work order. If the probability score meets a threshold, the candidate product is recommended.Type: GrantFiled: January 27, 2020Date of Patent: January 3, 2023Assignee: salesforce.com, inc.Inventors: Yixin Mao, Sitaram Asur, Na Cheng, Gary Brandeleer, Kavya Murali, Nicholas Beng Tek Geh
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Patent number: 11507617Abstract: Disclosed are some implementations of systems, apparatus, methods and computer program products for extracting topics from a corpus of exchanges. The system generates vector representations of utterances of an entity common to the exchanges and uses the vector representations to cluster the utterances. The system labels the clusters and uses the labeled clusters to generate an exchange label sequence for each of the exchanges, where each exchange label sequence corresponds to a sequence of utterances generated by the entity. The system processes the exchange label sequences to generate one or more subsets of the utterances, where each of the subsets corresponds to a particular topic.Type: GrantFiled: November 15, 2019Date of Patent: November 22, 2022Assignee: Salesforce, Inc.Inventors: Zachary Alexander, Na Cheng
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Publication number: 20220318669Abstract: A computing system may receive a corpus of training data including a plurality of data entity schemas. A first data entity of a first set of data entities corresponding to a first data entity schema is associated with a topic characteristic based on a first set of attributes defined by the first data entity schema, and a first attribute of the first set of attributes is associated with a structural characteristic that is common across each of the first set of data entities. The system may identify a respective attribute type identifier for each attribute of the first set, generate an attribute embedding for each attribute using the attribute value and the identifier, generate an entity embedding based on each attribute embedding and parameterize the topic characteristic for each data entity and the structural characteristic for each attribute.Type: ApplicationFiled: April 1, 2021Publication date: October 6, 2022Inventors: Zachary Alexander, Na Cheng, Jayesh Govindarajan
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Publication number: 20220293094Abstract: A system uses conversation engines to process natural language requests and conduct automatic conversations with users. The system generates responses to users in an online conversation. The system ranks generated user responses for the online conversation. The system generates a context vector based on a sequence of utterances of the conversation and generates response vectors for generated user responses. The system ranks the user responses based on a comparison of the context vectors and user response vectors. The system uses a machine learning based model that uses a pretrained neural network that supports multiple languages. The system determines a context of an utterance based on utterances in the conversation. The system generates responses and ranks them based on the context. The ranked responses are used to respond to the user.Type: ApplicationFiled: March 15, 2021Publication date: September 15, 2022Inventors: Yixin Mao, Zachary Alexander, Victor Winslow Yee, Joseph R. Zeimen, Na Cheng, Chien-Sheng Wu, Wenhao Liu, Caiming Xiong
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Patent number: 11392828Abstract: A system is provided for a machine learning engine using clustered case objects in a case management system. The system includes a multi-layer neural network. The system is configured to receive case object data comprising a case object and contextual objects in the case management system associated with the case object, the contextual objects comprising word vectors, generate a context embedding for the case object using the word vectors for the contextual objects, and cluster the case object with other case objects in the case management system based on the context embedding for the case object and other context embeddings for the other case objects.Type: GrantFiled: September 24, 2018Date of Patent: July 19, 2022Assignee: salesforce.com, inc.Inventors: Edgar Gerardo Velasco, Jayesh Govindarajan, Zachary Alexander, Na Cheng, Anuprit Kale, Peter White
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Patent number: 11379671Abstract: A system is configured to analyze a corpus of historical chat data to identify the list of “best” responses. As such, the user is not required to identify a list of canned responses for input into the system. The described system uses a context word embedding function and response word embedding function to generate context vectors and response vectors corresponding to the corpus of conversation data, and the vectors are represented by a respective context matrix and a response matrix. The system processes these matrices to generate scores for responses, clusters the responses, and identifies the responses corresponding to the best scores for each cluster.Type: GrantFiled: November 18, 2019Date of Patent: July 5, 2022Assignee: Salesforce, Inc.Inventors: Zachary Alexander, Edgar Gerardo Velasco, Victor Winslow Yee, Na Cheng, Khoa Le
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Patent number: 11314790Abstract: Computing systems, database systems, and related methods are provided for recommending values for fields of database objects and dynamically updating a recommended value for a field of a database record in response to updated auxiliary data associated with the database record. One method involves obtaining associated conversational data, segmenting the conversational data, converting each respective segment of conversational data into a numerical representation, generating a combined numerical representation of the conversational data based on the sequence of numerical representations using an aggregation model, generating the recommended value based on the combined numerical representation of the conversational data using a prediction model associated with the field, and autopopulating the field of the case database object with the recommended value.Type: GrantFiled: April 28, 2020Date of Patent: April 26, 2022Assignee: salesforce.com, inc.Inventors: Son Thanh Chang, Weiping Peng, Na Cheng, Feifei Jiang, Jacob Nathaniel Huffman, Nandini Suresh Kumar, Khoa Le, Christopher Larry
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Publication number: 20210149921Abstract: Disclosed are some implementations of systems, apparatus, methods and computer program products for extracting state flow structures from a corpus of exchanges. The system generates vector representations of utterances of an entity common to the exchanges and uses the vector representations to cluster the utterances. The system labels the clusters and uses the labeled clusters to generate an exchange label sequence for each of the exchanges, where the exchange label sequence corresponds to a sequence of utterances generated by the entity. The system processes the exchange label sequences to generate a state flow structure, where each of the states is represented by a corresponding set of utterances.Type: ApplicationFiled: November 15, 2019Publication date: May 20, 2021Inventors: Zachary Alexander, Na Cheng
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Publication number: 20210150610Abstract: A system and related processing methodologies for recommending a product based on a work order are described. The system receives an input case description, including a current repair item and a current work type. Historical work orders associating a plurality of products with repair items and work types are searched for a co-occurrence of the repair item matching the current repair item, and the work type matching the current work type. Upon finding a match, the product associated with the match is added to a set of candidate products for the current work order. A similarity measure between the candidate product and current work order description, a current work type category, and popularity of the candidate product is generated and then used in the generation of a probability score for the candidate product and current work order. If the probability score meets a threshold, the candidate product is recommended.Type: ApplicationFiled: January 27, 2020Publication date: May 20, 2021Inventors: Yixin Mao, Sitaram Asur, Na Cheng, Gary Brandeleer, Kavya Murali, Nicholas Beng Tek Geh
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Publication number: 20210150144Abstract: DESCRIBED HEREIN ARE SYSTEMS, APPARATUS, METHODS AND COMPUTER PROGRAM PRODUCTS FOR MACHINE LEARNING INTENT CLASSIFICATION. IN VARIOUS EMBODIMENTS, HISTORICAL UTTERANCES PROVIDED BY USERS MAY BE UTILIZED FOR BOT TRAINING. CONTEXT AND PERSONALLY IDENTIFIABLE INFORMATION MAY BE REMOVED FROM THE UTTERANCES. THE UTTERANCES MAY BE ASSOCIATED WITH VECTORS. THE UTTERANCES AND VECTORS MAY BE USED TO DETERMINE RECOMMENDATIONS.Type: ApplicationFiled: November 16, 2020Publication date: May 20, 2021Applicant: Salesforce.com, Inc.Inventors: Anuprit KALE, Weiping Peng, Na Cheng, Rick Lindstrom, Zachary Alexander
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Publication number: 20210150146Abstract: A system is configured to analyze a corpus of historical chat data to identify the list of “best” responses. As such, the user is not required to identify a list of canned responses for input into the system. The described system uses a context word embedding function and response word embedding function to generate context vectors and response vectors corresponding to the corpus of conversation data, and the vectors are represented by a respective context matrix and a response matrix. The system processes these matrices to generate scores for responses, clusters the responses, and identifies the responses corresponding to the best scores for each cluster.Type: ApplicationFiled: November 18, 2019Publication date: May 20, 2021Inventors: Zachary Alexander, Edgar Gerardo Velasco, Victor Winslow Yee, Na Cheng, Khoa Le
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Publication number: 20210149949Abstract: Disclosed are some implementations of systems, apparatus, methods and computer program products for extracting topics from a corpus of exchanges. The system generates vector representations of utterances of an entity common to the exchanges and uses the vector representations to cluster the utterances. The system labels the clusters and uses the labeled clusters to generate an exchange label sequence for each of the exchanges, where each exchange label sequence corresponds to a sequence of utterances generated by the entity. The system processes the exchange label sequences to generate one or more subsets of the utterances, where each of the subsets corresponds to a particular topic.Type: ApplicationFiled: November 15, 2019Publication date: May 20, 2021Inventors: Zachary Alexander, Na Cheng