Patents by Inventor Qun Guo
Qun Guo 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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Publication number: 20240085866Abstract: The present disclosure provides a method and device for intelligent control of heating furnace combustion based on a big data cloud platform, which relates to the technical field of artificial intelligence control. The method includes: construction of big data cloud platform based on production and operation parameters of the heating furnace; identification of key factors in the production process of the heating furnace by using big data mining technology; independent deployment of traditional heating furnace combustion control systems based on the mechanism model; and integration of cloud platform big data expert knowledge base and the heating furnace combustion intelligent control system.Type: ApplicationFiled: September 7, 2023Publication date: March 14, 2024Applicant: University of Science and Technology BeijingInventors: Qing LI, Fengqin LIN, Hui LI, Li WANG, Chengyong XIAO, Xu YANG, Jiarui CUI, Chunqiu WAN, Qun YAN, Yan LIU, Lei MIAO, Jin GUO, Boyu ZHANG, Chen HUANG, Yaming XI, Yuxuan LIN
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Publication number: 20240061714Abstract: Systems, methods, and devices are described for managing cloud services implemented by one or more clusters in a cloud computing environment. Responsive to receiving a first notification indicating that a cloud service implemented by the one or more clusters has not been used for a first predetermined amount of time, the cloud service is maintained in an active state and metadata is updated that specifies the cloud service is in a deactivated state. The metadata is visible to a user interface of a management portal of the cloud computing environment. Responsive to receiving a second notification indicating that the cloud service has not been used for a second predetermined amount of time following the first predetermined amount of time, a deactivation workflow is instantiated to deactivate the cloud service. In a further aspect, a cloud service engine generates the first and second notifications.Type: ApplicationFiled: August 19, 2022Publication date: February 22, 2024Inventors: Sachin Subraya PANDIT, Qun GUO, Pankaj ARORA, Shize XU, Venkat PARTHASARATHY, Ajay KALHAN, John M. OSLAKE
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Patent number: 11630954Abstract: A keyword extraction method includes: extracting candidate words from an original document to form a first word set; acquiring a first association degree between each first word thereof and the original document, and determining a second word set according to the first association degree; for each second word in the second word set, inquiring, in a word association topology, at least one node word satisfying a condition of association with the second word and forming a third word set, the word association topology indicating an association relation among multiple node words in a predetermined field; and determining a union set of the second and third word sets, acquiring a second association degree between each candidate keyword in the union set and the original document, and selecting, according to the second association degree, at least one candidate keyword from the union set, to form a keyword set of the original document.Type: GrantFiled: March 24, 2020Date of Patent: April 18, 2023Assignee: Beijing Xiaomi Intelligent Technology Co., Ltd.Inventors: Qun Guo, Xiao Lu, Erli Meng, Bin Wang, Liang Shi, Hongxu Ji, Baoyuan Qi
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Patent number: 11580303Abstract: A method and device for keyword extraction and a storage medium. The method includes receiving, at a terminal, an original document, acquiring, at the terminal, a candidate set by extracting at least one candidate phrase from the original document, acquiring, at the terminal, an association degree between the at least one candidate phrase in the candidate set and the original document, acquiring, at the terminal, a divergence degree of the at least one candidate phrase in the candidate set, and updating, at the terminal, a key phrase set of the original document by selecting the at least one candidate phrase from the candidate set as at least one key phrase based on the association degree and the divergence degree.Type: GrantFiled: March 25, 2020Date of Patent: February 14, 2023Assignee: Beijing Xiaomi Mobile Software Co., Ltd.Inventors: Qun Guo, Xiao Lu, Erli Meng, Bin Wang, Liang Shi, Baoyuan Qi, Hongxu Ji
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Patent number: 11507882Abstract: A method for optimizing a training set for text classification includes: the training set for text classification is acquired; part of samples are selected from the training set as a first initial training subset, and an incorrectly tagged sample in the first initial training subset is corrected to obtain a second initial training subset; a text classification model is trained according to the second initial training subset; the samples in the training set are predicted by the trained text classification model to obtain a prediction result; an incorrectly tagged sample set is generated according to the prediction result; a key incorrectly tagged sample is selected from the incorrectly tagged sample set, and a tag of the key incorrectly tagged sample is corrected to generate a correctly tagged sample corresponding to the key incorrectly tagged sample; and the training set is updated by using the correctly tagged sample.Type: GrantFiled: November 25, 2019Date of Patent: November 22, 2022Assignee: Beijing Xiaomi Intelligent Technology Co., Ltd.Inventors: Hongxu Ji, Qun Guo, Xiao Lu, Erli Meng
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Patent number: 11475879Abstract: Text content is determined. The text content is input to a content classifying model. The content classifying model is adapted to determine a probability of the text content belonging to a category. An evaluated value of quality of the text content is determined according to the probability of the category and a weight of the category. The weight represents importance of the category.Type: GrantFiled: August 14, 2020Date of Patent: October 18, 2022Assignee: Beijing Xiaomi Pinecone Electronics Co., Ltd.Inventors: Xiao Lu, Qun Guo, Erli Meng, Bin Wang, Hongxu Ji, Lei Sun
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Patent number: 11373038Abstract: The present disclosure relates to a method and a terminal for performing word segmentation on text information, and a storage medium. The method includes: acquiring the text information and configuration information, in which the configuration information includes at least two first word segmentation rules; converting the first word segmentation rules into second word segmentation rules according to a predetermined rule; in response to determining that an intersection exists between character strings of the text information matched by two of the second word segmentation rules, determining that two first word segmentation rules corresponding to the two of the second word segmentation rules associated with the intersection conflict; and processing the text information according to the configuration information, and outputting a result of the word segmentation on the text information.Type: GrantFiled: May 12, 2020Date of Patent: June 28, 2022Assignee: Beijing Xiaomi Intelligent Technology Co., Ltd.Inventors: Shuo Wang, Liang Shi, Yupeng Chen, Qun Guo
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Patent number: 11169982Abstract: Managing databases implemented in a cloud computing environment. A method includes detecting that a database implemented in the cloud computing environment is in a state of non-use. The method further includes as a result of detecting that a database implemented in the cloud computing environment is in a state of non-use, instantiating a workload in the cloud computing environment to deactivate the database. The workload is configured to store metadata for the database and database data remotely in cloud storage such that the database can be reactivated at a later time.Type: GrantFiled: June 30, 2016Date of Patent: November 9, 2021Assignee: MICROSOFT TECHNOLOGY LICENSING, LLCInventors: Ajay Kalhan, Tomas Talius, Pankaj Arora, Qun Guo, Shize Xu
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Patent number: 11157686Abstract: The present disclosure, belonging to the technical field of natural language processing, provides a text sequence segmentation method. The method can include acquiring n segmentation sub-results of the text sequence, the n segmentation sub-results being acquired by segmenting the text sequence by n segmentation models, and processing the n segmentation sub-results by a probability determination model branch in a result combination model to acquire a segmentation probability of the each segmentation position. The method can further include processing the segmentation probability of the each segmentation position by an activation function in the result combination model to acquire a segmentation result of the text sequence. According to the present disclosure, using each segmentation position in the text sequence as a unit, segmentation results of a plurality of segmentation models are combined, such that the accuracy of segmentation of a new text can be improved.Type: GrantFiled: April 29, 2020Date of Patent: October 26, 2021Assignee: BEIJING XIAOMI INTELLIGENT TECHNOLOGY CO., LTD.Inventors: Yupeng Chen, Liang Shi, Shuo Wang, Bin Wang, Erli Meng, Qun Guo
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Publication number: 20210295827Abstract: Text content is determined. The text content is input to a content classifying model. The content classifying model is adapted to determine a probability of the text content belonging to a category. An evaluated value of quality of the text content is determined according to the probability of the category and a weight of the category. The weight represents importance of the category.Type: ApplicationFiled: August 14, 2020Publication date: September 23, 2021Applicant: BEIJING XIAOMI PINECONE ELECTRONICS CO., LTD.Inventors: Xiao LU, Qun GUO, Erli MENG, Bin WANG, Hongxu JI, Lei SUN
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Publication number: 20210182490Abstract: A method and device for keyword extraction and a storage medium. The method includes receiving, at a terminal, an original document, acquiring, at the terminal, a candidate set by extracting at least one candidate phrase from the original document, acquiring, at the terminal, an association degree between the at least one candidate phrase in the candidate set and the original document, acquiring, at the terminal, a divergence degree of the at least one candidate phrase in the candidate set, and updating, at the terminal, a key phrase set of the original document by selecting the at least one candidate phrase from the candidate set as at least one key phrase based on the association degree and the divergence degree.Type: ApplicationFiled: March 25, 2020Publication date: June 17, 2021Applicant: BEIJING XIAOMI MOBILE SOFTWARE CO., LTD.Inventors: Qun GUO, Xiao LU, Erli MENG, Bin WANG, Liang SHI, Baoyuan QI, Hongxu JI
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Publication number: 20210157981Abstract: The present disclosure relates to a method and a terminal for performing word segmentation on text information, and a storage medium. The method includes: acquiring the text information and configuration information, in which the configuration information includes at least two first word segmentation rules; converting the first word segmentation rules into second word segmentation rules according to a predetermined rule; in response to determining that an intersection exists between character strings of the text information matched by two of the second word segmentation rules, determining that two first word segmentation rules corresponding to the two of the second word segmentation rules associated with the intersection conflict; and processing the text information according to the configuration information, and outputting a result of the word segmentation on the text information.Type: ApplicationFiled: May 12, 2020Publication date: May 27, 2021Applicant: Beijing Xiaomi Intelligent Technology Co., Ltd.Inventors: Shuo WANG, Liang SHI, Yupeng CHEN, Qun GUO
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Publication number: 20210141998Abstract: The present disclosure, belonging to the technical field of natural language processing, provides a text sequence segmentation method. The method can include acquiring n segmentation sub-results of the text sequence, the n segmentation sub-results being acquired by segmenting the text sequence by n segmentation models, and processing the n segmentation sub-results by a probability determination model branch in a result combination model to acquire a segmentation probability of the each segmentation position. The method can further include processing the segmentation probability of the each segmentation position by an activation function in the result combination model to acquire a segmentation result of the text sequence. According to the present disclosure, using each segmentation position in the text sequence as a unit, segmentation results of a plurality of segmentation models are combined, such that the accuracy of segmentation of a new text can be improved.Type: ApplicationFiled: April 29, 2020Publication date: May 13, 2021Applicant: BEIJING XIAOMI INTELLIGENT TECHNOLOGY CO., LTD.Inventors: Yupeng Chen, Liang Shi, Shuo Wang, Bin Wang, Erli Meng, Qun Guo
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Publication number: 20210081832Abstract: A method for optimizing a training set for text classification includes: the training set for text classification is acquired; part of samples are selected from the training set as a first initial training subset, and an incorrectly tagged sample in the first initial training subset is corrected to obtain a second initial training subset; a text classification model is trained according to the second initial training subset; the samples in the training set are predicted by the trained text classification model to obtain a prediction result; an incorrectly tagged sample set is generated according to the prediction result; a key incorrectly tagged sample is selected from the incorrectly tagged sample set, and a tag of the key incorrectly tagged sample is corrected to generate a correctly tagged sample corresponding to the key incorrectly tagged sample; and the training set is updated by using the correctly tagged sample.Type: ApplicationFiled: November 25, 2019Publication date: March 18, 2021Applicant: Beijing Xiaomi Intelligent Technology Co., Ltd.Inventors: Hongxu JI, Qun GUO, Xiao LU, Erli MENG
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Publication number: 20200250376Abstract: A keyword extraction method includes: extracting candidate words from an original document to form a first word set; acquiring the first correlation degree between each candidate word in the first word set and the original document, and based on which determining a second word set; generating predicted words forming a third word set through a prediction model; determining a union set of the second and third word sets, acquiring the second correlation degree between each of the candidate keywords in the union set and the original document, acquiring a divergence of each candidate keyword in the union set; and selecting candidate keywords from the union set as keywords based on the second correlation degree and the divergence. Keyword redundancy can be avoided through the divergence of keywords. The final keywords are not affected by the frequency of candidate words, and the expression mode of keywords can be enriched.Type: ApplicationFiled: April 22, 2020Publication date: August 6, 2020Applicant: Beijing Xiaomi Intelligent Technology Co., Ltd.Inventors: Qun Guo, Xiao Lu, Erli Meng, Bin Wang, Liang Shi, Baoyuan Qi, Hongxu Ji
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Publication number: 20200226367Abstract: A keyword extraction method includes: extracting candidate words from an original document to form a first word set; acquiring a first association degree between each first word thereof and the original document, and determining a second word set according to the first association degree; for each second word in the second word set, inquiring, in a word association topology, at least one node word satisfying a condition of association with the second word and forming a third word set, the word association topology indicating an association relation among multiple node words in a predetermined field; and determining a union set of the second and third word sets, acquiring a second association degree between each candidate keyword in the union set and the original document, and selecting, according to the second association degree, at least one candidate keyword from the union set, to form a keyword set of the original document.Type: ApplicationFiled: March 24, 2020Publication date: July 16, 2020Applicant: Beijing Xiaomi Intelligent Technology Co., Ltd.Inventors: Qun Guo, Xiao Lu, Erli Meng, Bin Wang, Liang Shi, Hongxu Ji, Baoyuan Qi
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Patent number: 10225337Abstract: Managing cluster resources for a cluster. The method includes identifying a plurality of quiescence policies. Each of the quiescence policies define one or more conditions for cluster entities which when met, identify that cluster resources should be reclaimed from cluster entities by quiescing cluster entities. The method further includes, for each quiescence policy, identifying an amount of reclaimed capacity defining the amount of cluster resources that will be reclaimed by implementing the quiescence policy. The method further includes, for each quiescence policy, identifying an amount of reserve capacity defining the amount of cluster resources that should be reserved for resuming quiesced cluster entities. The method further includes; selecting a quiescence policy based on comparing the reclaimed capacities and reserve capacities for the quiescence policies. The method further includes, booking cluster resources for cluster entities on the cluster according to the selected quiescence policy.Type: GrantFiled: June 30, 2016Date of Patent: March 5, 2019Assignee: Microsoft Technology Licensing, LLCInventors: Karthik Saligrama Ramachandra, David Johns DeWitt, Shize Xu, Qun Guo, Ajay Kalhan, Peter Alan Carlin, Willis Lang
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Publication number: 20180007128Abstract: Managing cluster resources for a cluster. The method includes identifying a plurality of quiescence policies. Each of the quiescence policies define one or more conditions for cluster entities which when met, identify that cluster resources should be reclaimed from cluster entities by quiescing cluster entities. The method further includes, for each quiescence policy, identifying an amount of reclaimed capacity defining the amount of cluster resources that will be reclaimed by implementing the quiescence policy. The method further includes, for each quiescence policy, identifying an amount of reserve capacity defining the amount of cluster resources that should be reserved for resuming quiesced cluster entities. The method further includes; selecting a quiescence policy based on comparing the reclaimed capacities and reserve capacities for the quiescence policies.Type: ApplicationFiled: June 30, 2016Publication date: January 4, 2018Inventors: Karthik Saligrama Ramachandra, David Johns DeWitt, Shize Xu, Qun Guo, Ajay Kalhan, Peter Alan Carlin, Willis Lang
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Patent number: D1006811Type: GrantFiled: May 20, 2021Date of Patent: December 5, 2023Inventor: Qun Guo
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Patent number: D1016784Type: GrantFiled: December 16, 2021Date of Patent: March 5, 2024Inventor: Qun Guo