Patents by Inventor Dongmei Zhang
Dongmei 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: 11659393Abstract: Embodiments of the present invention disclose a method, an apparatus, and a system for establishing a security context and relates to the communications field, so as to comprehensively protect UE data. The method includes: acquiring an encryption algorithm of an access node; acquiring a root key and deriving, according to the root key and the encryption algorithm, an encryption key of the access node; sending the encryption key and the encryption algorithm to the access node, so that the access node starts downlink encryption and uplink decryption; sending the encryption algorithm of the access node to the UE so as to negotiate the encryption algorithm with the UE; and instructing the access node to start downlink encryption and uplink decryption and instructing, during algorithm negotiation, the UE to start downlink decryption and uplink encryption.Type: GrantFiled: September 24, 2020Date of Patent: May 23, 2023Assignee: Huawei Technologies Co., Ltd.Inventors: Dongmei Zhang, Jing Chen
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Publication number: 20230012578Abstract: Automatically identifying insights from a dataset and presenting the insights graphically and in natural language text ranked by importance is provided. Different data types and structures in the dataset are automatic recognized and matched with a corresponding specific analysis type. The data is analyzed according to the determined corresponding analysis types, and insights form the analysis are automatically identified. The insights within a given insight type and between insight types are ranked and presented in order of importance. Insights include those having multiple pipelined attributes and other insights include multiple insights identified as having some relationship for the included insights.Type: ApplicationFiled: August 24, 2022Publication date: January 19, 2023Applicant: Microsoft Technology Licensing, LLCInventors: Rui DING, Shi HAN, Dongmei ZHANG
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Patent number: 11556703Abstract: The subject matter described herein relates to table detection in a spreadsheet. According to implementations of the subject matter described herein, there is proposed a solution for determining a table in a spreadsheet. In the solution, respective multiple attributes of multiple cells comprised in the spreadsheet may be extracted. Respective features of the multiple cells may be determined based on the extracted multiple attributes. The multiple cells may be divided into at least one candidate area based on the features. At least one candidate table in the spreadsheet may be determined based on the at least one candidate area. By means of the solution, respective features of the multiple cells comprised in the spreadsheet may be determined based on the respective attributes of the multiple cells, and further, a candidate region where a table might exist may be determined based on the respective features of the multiple cells.Type: GrantFiled: May 13, 2022Date of Patent: January 17, 2023Assignee: Microsoft Technology Licensing, LLCInventors: Haoyu Dong, Shi Han, Zhouyu Fu, Dongmei Zhang
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Publication number: 20220405479Abstract: Implementations of the subject matter described herein relate to conversational data analysis. After a data analysis request is received from a user, heuristic information may be determined based on the data analysis request. The heuristic information mentioned here is not a result for the data analysis request but information which may be used for leading the conversation to proceed. Based on such heuristic information, the user may provide supplementary information associated with the data analysis request, for example, clarify meaning of the data analysis request, submit a relevant further analysis request, and so on. A really desired and meaningful data analysis result can be provided to the user according to the supplementary information provided by the user. Thus, data analysis will become more accurate and effective. While obtaining really helpful information, the user also gains good user experience.Type: ApplicationFiled: July 19, 2022Publication date: December 22, 2022Applicant: Microsoft Technology Licensing, LLCInventors: Zhitao HOU, Jian-Guang LOU, Bo ZHANG, Xiao LIANG, Dongmei ZHANG, Haidong ZHANG
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Publication number: 20220381421Abstract: An LED lighting device includes a seat, an optical assembly and a light source, according to one embodiment of the present invention. The seat has a baseplate and a sidewall. A chamber is formed between the baseplate and the sidewall. The optical assembly completely covers a light-emitting side of the LED lighting device. The light source is disposed in the chamber of the seat and includes multiple LED arrays. Each of the LED arrays includes an LED chip. The optical assembly includes an optical unit. The optical unit includes multiple first optical members and multiple second optical members corresponding to the first optical members. The LED arrays correspond to the first optical members. Each of the second optical members includes a set of optical walls. The set of optical walls surrounds one of the first optical members.Type: ApplicationFiled: July 21, 2022Publication date: December 1, 2022Inventors: MINGBIN WANG, ZHICHAO ZHANG, DONGMEI ZHANG, JIFENG XU, TAO JIANG, KUAN LIN
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Patent number: 11514034Abstract: In accordance with implementations of the present disclosure, a solution for converting a natural language query is provided. In this solution, a first natural language query and a second natural language query for one or more data tables are received, wherein semantics of the second natural language query is dependent on the first natural language query. A third natural language query for one or more data tables is generated based on the first natural language query and the second natural language query, wherein semantics of the third natural language query is identical to the semantics of the second natural language query and independent of the first natural language query. In this way, this solution can convert a context-dependent natural language query into a context-independent natural language query, thereby enabling interfacing with any semantic parsers which can convert a natural language query into a computer-executable query.Type: GrantFiled: December 10, 2019Date of Patent: November 29, 2022Assignee: Microsoft Technology Licensing, LLCInventors: Bei Chen, Jian-Guang Lou, Yan Gao, Dongmei Zhang
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Publication number: 20220366129Abstract: A solution for spreadsheet table transformation is provided. In this solution, one or more header areas and a data area of a spreadsheet table are detected. A hierarchical structure of each of the header areas is determined by analysis of cell merging and/or indents in the header area, and/or a function relationship between data items in corresponding cells of the data area. The spreadsheet table can be transformed to a relational table based on recognition of the hierarchical structure of the header area. In this way, by facilitating understanding of header structures based on the header hierarchy, it is possible to achieve automated transformation from spreadsheet tables to relational tables.Type: ApplicationFiled: August 8, 2019Publication date: November 17, 2022Inventors: Haoyu DONG, Shi HAN, Dongmei ZHANG, Jennifer M. HALBERSTAM, Xiao LYU
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Publication number: 20220357840Abstract: A computing device running a tool for visually exploring datasets receives a request for a dataset comprising a plurality of subspaces of a multi-dimensional data structure and in response to receiving a user selection of a data point associated with the dataset, presents a visualization of the calculations associated with the selected data point. The tool allows the user to select one of the calculations, thus causing presentation of a visualization of the selected calculation. A semantic graphical feature is incorporated into the visualization of the selected calculation depending upon a type of the calculation.Type: ApplicationFiled: July 27, 2022Publication date: November 10, 2022Applicant: Microsoft Technology Licensing, LLCInventors: Zhitao HOU, Haidong ZHANG, Dongmei ZHANG
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Publication number: 20220343062Abstract: The subject matter described herein relates to table detection in a spreadsheet. According to implementations of the subject matter described herein, there is proposed a solution for determining a table in a spreadsheet. In the solution, respective multiple attributes of multiple cells comprised in the spreadsheet may be extracted. Respective features of the multiple cells may be determined based on the extracted multiple attributes. The multiple cells may be divided into at least one candidate area based on the features. At least one candidate table in the spreadsheet may be determined based on the at least one candidate area. By means of the solution, respective features of the multiple cells comprised in the spreadsheet may be determined based on the respective attributes of the multiple cells, and further, a candidate region where a table might exist may be determined based on the respective features of the multiple cells.Type: ApplicationFiled: May 13, 2022Publication date: October 27, 2022Inventors: Haoyu Dong, Shi Han, Zhouyu Fu, Dongmei Zhang
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Patent number: 11483705Abstract: In one example method for generating an access stratum key in a communication system, a terminal device acquires an input parameter, where the terminal device is communicably coupled to a first network-side device through a first air interface and at the same time is communicably coupled to a second network-side device through a second air interface. The terminal device has access to a core network via the first network-side device, and has access to the core network via the second network-side device which has access to the core network through the first network-side device. The terminal device calculates an access stratum root key of the second air interface according to the input parameter and an access stratum root key of the first air interface, and generates an access stratum key of the second air interface according to the access stratum root key of the second air interface.Type: GrantFiled: November 20, 2020Date of Patent: October 25, 2022Assignee: Huawei Technologies Co., Ltd.Inventors: Dongmei Zhang, Jing Chen, Yang Cui
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Patent number: 11468056Abstract: Automatically identifying insights from a dataset and presenting the insights graphically and in natural language text ranked by importance is provided. Different data types and structures in the dataset are automatic recognized and matched with a corresponding specific analysis type. The data is analyzed according to the determined corresponding analysis types, and insights from the analysis are automatically identified. The insights within a given insight type and between insight types are ranked and presented in order of importance. Insights include those having multiple pipelined attributes and other insights include multiple insights identified as having some relationship for the included insights.Type: GrantFiled: April 27, 2020Date of Patent: October 11, 2022Assignee: Microsoft Technology Licensing, LLCInventors: Rui Ding, Shi Han, Dongmei Zhang
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Publication number: 20220277005Abstract: According to implementations of the subject matter described herein, a solution for semantic parsing of the natural language query is provided. In this solution, a first natural language query for a first data table is received, where the first natural language query comprises words. A first set of knowledge representations associated with the first data table are obtained and the first set of knowledge representations describe, in a structured manner, knowledge required for understanding a natural language query for the first data table. The first natural language query is converted into a first sequence of symbols. A first computer-executable query corresponding to the first natural language query is generated.Type: ApplicationFiled: June 18, 2020Publication date: September 1, 2022Inventors: Yan Gao, Lei Fang, Dongmei ZHANG, Yan Xiao, Jian-Guang Lou, Maria del Mar Gines Marin
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Patent number: 11429270Abstract: A computing device running a tool for visually exploring datasets receives a request for a dataset comprising a plurality of subspaces of a multi-dimensional data structure and in response to receiving a user selection of a data point associated with the dataset, presents a visualization of the calculations associated with the selected data point. The tool allows the user to select one of the calculations, thus causing presentation of a visualization of the selected calculation. A semantic graphical feature is incorporated into the visualization of the selected calculation depending upon a type of the calculation.Type: GrantFiled: July 19, 2021Date of Patent: August 30, 2022Assignee: Microsoft Technology Licensing, LLCInventors: Zhitao Hou, Haidong Zhang, Dongmei Zhang
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Patent number: 11423229Abstract: Implementations of the subject matter described herein relate to conversational data analysis. After a data analysis request is received from a user, heuristic information may be determined based on the data analysis request. The heuristic information mentioned here is not a result for the data analysis request but information which may be used for leading the conversation to proceed. Based on such heuristic information, the user may provide supplementary information associated with the data analysis request, for example, clarify meaning of the data analysis request, submit a relevant further analysis request, and so on. A really desired and meaningful data analysis result can be provided to the user according to the supplementary information provided by the user. Thus, data analysis will become more accurate and effective. While obtaining really helpful information, the user also gains good user experience.Type: GrantFiled: September 22, 2017Date of Patent: August 23, 2022Assignee: Microsoft Technology Licensing, LLCInventors: Zhitao Hou, Jian-Guang Lou, Bo Zhang, Xiao Liang, Dongmei Zhang, Haidong Zhang
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Publication number: 20220250987Abstract: The present disclosure discloses a process for producing microcrystalline alpha-alumina by microwave calcination, which relates to the production process of calcined alumina. The product of the present disclosure has stable quality. The yield of the process of the present disclosure is higher than that of the traditional kiln production method. The energy consumption during the preparation of alpha-alumina is greatly reduced, and the zero emission of harmful gases is realized.Type: ApplicationFiled: April 28, 2022Publication date: August 11, 2022Applicant: HENAN CHANGXING INDUSTRY CO,LTD.Inventors: Zhiang Sun, Feifei Liang, Xiaohui Jiang, Bo Dong, Qian Wang, Dongmei Zhang, Junjian Wang, Yanan Xue, Zhikai Xu, Fang Wang, Yanjun Yang, Mingjing Li, Meishan Shao
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Publication number: 20220207062Abstract: According to implementations of the subject matter described herein, there is proposed a solution for automatic analysis of a difference between multi-dimensional datasets. In this solution, an analysis request is received for a first dataset and a second dataset, each of which including data items corresponding to a plurality of dimensions. In response to the analysis request, data items corresponding to a first dimension in the first and second datasets are compared. Based on the comparison, a first set of influence factors associated with the first dimension are determined, each influence factor indicating a reason for a difference between the first and second datasets from a respective perspective. An analysis result related to the difference between the first and second datasets is presented based on the first set of influence factors. In this way, it is possible to achieve automatic and efficient analysis of the difference between the different datasets.Type: ApplicationFiled: March 15, 2022Publication date: June 30, 2022Applicant: Microsoft Technology Licensing, LLCInventors: Rui DING, Zhouyu FU, Shi HAN, Haidong ZHANG, Dongmei ZHANG
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Patent number: 11372869Abstract: A system for frequent pattern mining uses two layers of processing: a plurality of computing nodes, and a plurality of processors within each computing node. Within each computing node, the data set against which the frequent pattern mining is to be performed is stored in shared memory, accessible concurrently by each of the processors. The search space is partitioned among the computing nodes, and sub-partitioned among the processors of each computing node. If a processor completes its sub-partition, it requests another sub-partition. The partitioning and sub-partitioning may be performed dynamically, and adjusted in real time.Type: GrantFiled: June 1, 2018Date of Patent: June 28, 2022Assignee: Microsoft Technology Licensing, LLCInventors: Shi Han, Yingnong Dang, Dongmei Zhang, Song Ge
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Patent number: 11341322Abstract: The subject matter described herein relates to table detection in a spreadsheet. According to implementations of the subject matter described herein, there is proposed a solution for determining a table in a spreadsheet. In the solution, respective multiple attributes of multiple cells comprised in the spreadsheet may be extracted. Respective features of the multiple cells may be determined based on the extracted multiple attributes. The multiple cells may be divided into at least one candidate area based on the features. At least one candidate table in the spreadsheet may be determined based on the at least one candidate area. By means of the solution, respective features of the multiple cells comprised in the spreadsheet may be determined based on the respective attributes of the multiple cells, and further, a candidate region where a table might exist may be determined based on the respective features of the multiple cells.Type: GrantFiled: June 17, 2019Date of Patent: May 24, 2022Assignee: Microsoft Technology Licensing, LLCInventors: Haoyu Dong, Shi Han, Zhouyu Fu, Dongmei Zhang
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Patent number: 11341156Abstract: The techniques described herein provide tools that summarize a dataset by creating a final set of segments that, when visually presented via a histogram or other data presentation tool, show the distribution of at least a portion of the data. To create the final set of segments, the techniques described herein may collect or receive a dataset with distinct values, and divide the dataset into a number of segments that is less than or equal to a segment presentation threshold (e.g., ten segments). After creating the final set of segments, the techniques may configure and/or present data visualizations, such as histograms, for the created segments so that an observer is provided with a good viewing experience.Type: GrantFiled: June 13, 2013Date of Patent: May 24, 2022Assignee: MICROSOFT TECHNOLOGY LICENSING, LLCInventors: Yingnong Dang, Rui Ding, Haoyu Jiang, Fei Liu, Dongmei Zhang
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Patent number: 11308134Abstract: According to implementations of the subject matter described herein, there is proposed a solution for automatic analysis of a difference between multi-dimensional datasets. In this solution, an analysis request is received for a first dataset and a second dataset, each of which including data items corresponding to a plurality of dimensions. In response to the analysis request, data items corresponding to a first dimension in the first and second datasets are compared. Based on the comparison, a first set of influence factors associated with the first dimension are determined, each influence factor indicating a reason for a difference between the first and second datasets from a respective perspective. An analysis result related to the difference between the first and second datasets is presented based on the first set of influence factors. In this way, it is possible to achieve automatic and efficient analysis of the difference between the different datasets.Type: GrantFiled: May 23, 2018Date of Patent: April 19, 2022Assignee: Microsoft Technology Licensing, LLCInventors: Rui Ding, Zhouyu Fu, Shi Han, Haidong Zhang, Dongmei Zhang