Patents by Inventor Shao Chun Li
Shao Chun 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).
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Patent number: 11500973Abstract: A computer-implemented authentication method, the method comprising: matching a brain pattern sequence with a predetermined password to allow access to a system, wherein the brain pattern sequence is calculated by analyzing a signal slope of a slope threshold of the brain activity to determine a timing and a duration of the brain activity.Type: GrantFiled: August 22, 2019Date of Patent: November 15, 2022Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Hao Chen, Ya Bin Dang, Qi Cheng Li, Shao Chun Li, Jie Ma, Lijun Mei, Jian Wang, Yipeng Yu, Xin Zhou
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Patent number: 11295213Abstract: Embodiments of the present invention relate to computer-implemented methods, systems, and computer program products for managing a conversational system. In one embodiment, a computer-implemented method comprises: obtaining, by a device operatively coupled to one or more processors, a first message sequence comprising messages involved in a conversation between a user and a conversation server; obtaining, by the device, a conversation graph indicating an association relationship between messages involved in a conversation; and in response to determining that the first message sequence is not matched in the conversation graph, updating, by the device, the conversation graph with a second message sequence, the second message sequence being generated based on a knowledge library including expert knowledge that is associated with a topic of the conversation.Type: GrantFiled: January 8, 2019Date of Patent: April 5, 2022Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Li Jun Mei, Qi Cheng Li, Xin Zhou, Ya Bin Dang, Shao Chun Li
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Publication number: 20220067433Abstract: Embodiments of the present disclosure relate to a method, system, and computer program product for domain adaptation. According to the method, a source model of a source domain is obtained, where the source model is trained to generate a label indicating a predicted category of data from the source domain. A training sample from a target domain is obtained, where the training sample comprises training data from the target domain and a true label indicating a true category of the training data from the target domain. A first label is generated for the training data by using the source model. The first label indicates a predicted category of the training data. A target model of the target domain is trained based on the training data, the true label and the first label.Type: ApplicationFiled: August 26, 2020Publication date: March 3, 2022Inventors: YI QIN YU, Shiwan Zhao, Jing Mei, Shao Chun Li, Xu Min
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Publication number: 20220036981Abstract: The present disclosure relates to a method, system and computer program product for electronic health record (EHR) data synthetization. According to the method, an original EHR dataset X is captured. A latent space Z is generated from the original EHR dataset X, wherein dimensionality of Z is lower than that of X. A stochastic process prior module is applied to the latent space Z. Synthetic EHR dataset X? is reconstructed from the latent space Z after being applied with the stochastic process prior.Type: ApplicationFiled: July 29, 2020Publication date: February 3, 2022Inventors: Xu Min, Yi Qin Yu, Jing Mei, Yuan Zhou, Shao Chun Li
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Patent number: 11238111Abstract: Techniques for response generation are provided. One computer-implemented method comprises: receiving, by an electronic device operatively coupled to a processing unit, a query from a user. The computer-implemented method also comprises generating, by the electronic device, a dialog candidates set based on user context, wherein the user context comprises the query. The computer-implemented method can also comprise generating, by the electronic device, a response based on the dialog candidates set.Type: GrantFiled: October 24, 2016Date of Patent: February 1, 2022Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Hao Chen, Qi Cheng Li, Shao Chun Li, Lijun Mei, Yipeng Yu
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Patent number: 11222283Abstract: A computer-implemented method is presented for enabling hierarchical conversational policy learning for sales strategy planning. The method includes enabling a user to have a conversation with a robot via a conversation platform, employing a plan database to store general plans used in the conversation, employing an industry database to store a plurality of candidate plans pertaining to sales promotions, and employing a plan and policy optimizer to allow the robot to select and output an optimal plan from the plurality of candidate plans, the optimal plan determined by hierarchical reinforcement learning via a first learner and a second learner, the first leaner selecting the optimal plan and the second learner selecting an optimal action.Type: GrantFiled: October 23, 2018Date of Patent: January 11, 2022Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Zhuoxuan Jiang, Jie Ma, Ya Bin Dang, Jian Wang, Qi Cheng Li, Li Jun Mei, Xin Zhou, Hao Chen, Yi Peng Yu, Shao Chun Li
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Patent number: 11195620Abstract: Computer-implemented methods, computer program products, and system facilitating evaluation of a progress of a diagnosis process are provided. The computer-implemented method comprises: obtaining, by a device operatively coupled to one or more processing units, a list of symptom(s); retrieving, by the device, a sub-graph associated with the list of symptom(s) from a knowledge graph; extracting, by the device, a list of feature(s) from the retrieved sub-graph; estimating, by the device, an average number of inquiries based on the extracted list of feature(s); and calculating, by the device, the progress of the diagnosis process based on the estimated average number of inquiries.Type: GrantFiled: January 4, 2019Date of Patent: December 7, 2021Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Jian Wang, Yi Peng Yu, Shao Chun Li, Ya Bin Dang, Hao Chen
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Patent number: 11189888Abstract: A mobile power pack combination of the present invention includes a first mobile power pack and at least a second mobile power pack. The first mobile power pack has a first housing. The first housing is disposed with a first charging unit and a first probe-type connector connected to the first charging unit. The second mobile power pack has a second housing. The second housing is disposed with a second charging unit, a first probe-type connector and a second probe-type connector connected to the second charging unit. When the second mobile power pack is stacked on the first mobile power pack, the second probe-type connector of the second mobile power pack is connected with the first probe-type connector of the first mobile power pack to make electric current conduct. Therefore, the mobile power pack combination provides charging function based on stackable technology and is convenient to carry.Type: GrantFiled: December 11, 2019Date of Patent: November 30, 2021Assignee: CHENG UEI PRECISION INDUSTRY CO., LTD.Inventors: Yu-Feng Liu, Yuan-Yu Hwang, Xiao-Kang Yang, Ren-Chun Zhong, Shao-Chun Li
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Patent number: 11155141Abstract: A vehicle occupant comfort system, comprises a processor that stores computer executable components stored in memory. A plurality of sensors sense ambient conditions associated with exterior and interior conditions of a vehicle. A context component infers or determines context of an occupant of the vehicle. A comfort model component implicitly and explicitly trained on occupant comfort related data analyzes information from the plurality of sensors and context component. A comfort controller adjusts environmental conditions of a passenger compartment of the vehicle based at least in part on output of the comfort model component.Type: GrantFiled: January 14, 2020Date of Patent: October 26, 2021Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Hao Chen, Shao Chun Li, Qi Cheng Li, Jie Ma, Li Jun Mei, Jian Wang, Xin Zhou
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Patent number: 11155140Abstract: A vehicle occupant comfort system, comprises a processor that stores computer executable components stored in memory. A plurality of sensors sense ambient conditions associated with exterior and interior conditions of a vehicle. A context component infers or determines context of an occupant of the vehicle. A comfort model component implicitly and explicitly trained on occupant comfort related data analyzes information from the plurality of sensors and context component. A comfort controller adjusts environmental conditions of a passenger compartment of the vehicle based at least in part on output of the comfort model component.Type: GrantFiled: January 14, 2020Date of Patent: October 26, 2021Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Hao Chen, Shao Chun Li, Qi Cheng Li, Jie Ma, Li Jun Mei, Jian Wang, Xin Zhou
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Patent number: 11074416Abstract: Methods and systems for automating user interactions include annotating chat logs to identify user intent in question-answer pairs. A classifier is trained, using the annotated chat log, to identify user intent in automated conversations. Chat flows are formed, using the annotated chat logs, that provide responses to user statements based on identified user intent. An automated conversation is conducted with a user, using the chat flows and the classifier, to provide automated responses to user statements.Type: GrantFiled: November 26, 2018Date of Patent: July 27, 2021Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Qi Cheng Li, Li Jun Mei, Jie Ma, Shao Chun Li
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Patent number: 10953877Abstract: This disclosure provides a method for road condition prediction. The method comprises receiving, for at least one source vehicle, sensor data collected by a sensor associated with the source vehicle. The method further comprises identifying, based on the sensor data, at least a location with an abnormal road condition and a responsive action taken by the source vehicle. The method further comprises notifying, the location with the abnormal road condition and the responsive action to at least one target vehicle that is expected to pass the location. This disclosure also provides a computer system and a computer software product for road condition prediction.Type: GrantFiled: October 20, 2017Date of Patent: March 23, 2021Assignee: International Business Machines CorporationInventors: Hao Chen, Ya Bin Dang, Qi Cheng Li, Shao Chun Li, Jie Ma, Li Jun Mei, Jian Wang, Yi Peng Yu, Xin Zhou
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Patent number: 10949618Abstract: The present disclosure provides a method, computer system and computer program product facilitating generation of a conversation content. A computer-implemented method comprises: obtaining, by a device operatively coupled to one or more processors, history conversation data of an user; determining, by the device, a professional level of the user based on the history conversation data; and generating, by the device, a conversation content for the user based on the professional level of the user.Type: GrantFiled: November 14, 2018Date of Patent: March 16, 2021Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Xin Zhou, Qi Cheng Li, Jian Wang, Li Jun Mei, Hao Chen, Shao Chun Li, Ya Bin Dang
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Patent number: 10929614Abstract: Systems and method for automated contextual dialog generation for cognitive conversations include embedding a natural language sentence input by a user into a corresponding sentence vector using a sentence embedder. A context array is generated using a contextual sentence embedder to embed the sentence vector and previous sentence vectors of a conversation history into a context array. Response words are predicted from the sentence vector by performing sequence-to-sequence dialog prediction with a dialog prediction network. Context of the input sentence is quantified by extracting context features from the context array using a situation quantification network. A response dialog is generated in natural language to display to a user, the response dialog responding to the input sentence with a response generator by determining a dialog state including the response words and the quantified context and optimizing the response dialog with reinforcement learning corresponding to the dialog state.Type: GrantFiled: January 3, 2019Date of Patent: February 23, 2021Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Li Jun Mei, Qi Cheng Li, Xin Zhou, Jie Ma, Shao Chun Li
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Publication number: 20200388812Abstract: A mobile power pack combination of the present invention includes a first mobile power pack and at least a second mobile power pack. The first mobile power pack has a first housing. The first housing is disposed with a first charging unit and a first probe-type connector connected to the first charging unit. The second mobile power pack has a second housing. The second housing is disposed with a second charging unit, a first probe-type connector and a second probe-type connector connected to the second charging unit. When the second mobile power pack is stacked on the first mobile power pack, the second probe-type connector of the second mobile power pack is connected with the first probe-type connector of the first mobile power pack to make electric current conduct. Therefore, the mobile power pack combination provides charging function based on stackable technology and is convenient to carry.Type: ApplicationFiled: December 11, 2019Publication date: December 10, 2020Inventors: YU-FENG LIU, YUAN-YU HWANG, XIAO-KANG YANG, REN-CHUN ZHONG, SHAO-CHUN LI
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Patent number: 10832501Abstract: A method, system, and computer program product, include obtaining window status decision information based on vehicle interior background noise and determining switch status of the vehicle window(s) based on the obtained window status decision information.Type: GrantFiled: March 15, 2018Date of Patent: November 10, 2020Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Ning Duan, Jing Chang Huang, Peng Ji, Shao Chun Li, Guotao Zhao
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Publication number: 20200218989Abstract: Embodiments of the present invention relate to computer-implemented methods, systems, and computer program products for managing a conversational system. In one embodiment, a computer-implemented method comprises: obtaining, by a device operatively coupled to one or more processors, a first message sequence comprising messages involved in a conversation between a user and a conversation server; obtaining, by the device, a conversation graph indicating an association relationship between messages involved in a conversation; and in response to determining that the first message sequence is not matched in the conversation graph, updating, by the device, the conversation graph with a second message sequence, the second message sequence being generated based on a knowledge library including expert knowledge that is associated with a topic of the conversation.Type: ApplicationFiled: January 8, 2019Publication date: July 9, 2020Inventors: Li Jun Mei, Qi Cheng Li, Xin Zhou, Ya Bin Dang, Shao Chun Li
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Publication number: 20200219618Abstract: Computer-implemented methods, computer program products, and system facilitating evaluation of a progress of a diagnosis process are provided. The computer-implemented method comprises: obtaining, by a device operatively coupled to one or more processing units, a list of symptom(s); retrieving, by the device, a sub-graph associated with the list of symptom(s) from a knowledge graph; extracting, by the device, a list of feature(s) from the retrieved sub-graph; estimating, by the device, an average number of inquiries based on the extracted list of feature(s); and calculating, by the device, the progress of the diagnosis process based on the estimated average number of inquiries.Type: ApplicationFiled: January 4, 2019Publication date: July 9, 2020Inventors: Jian Wang, Yi Peng Yu, Shao Chun Li, Ya Bin Dang, Hao Chen
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Publication number: 20200218780Abstract: Systems and method for automated contextual dialog generation for cognitive conversations include embedding a natural language sentence input by a user into a corresponding sentence vector using a sentence embedder. A context array is generated using a contextual sentence embedder to embed the sentence vector and previous sentence vectors of a conversation history into a context array. Response words are predicted from the sentence vector by performing sequence-to-sequence dialog prediction with a dialog prediction network. Context of the input sentence is quantified by extracting context features from the context array using a situation quantification network. A response dialog is generated in natural language to display to a user, the response dialog responding to the input sentence with a response generator by determining a dialog state including the response words and the quantified context and optimizing the response dialog with reinforcement learning corresponding to the dialog state.Type: ApplicationFiled: January 3, 2019Publication date: July 9, 2020Inventors: Li Jun Mei, Qi Cheng Li, Xin Zhou, Jie Ma, Shao Chun Li
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Patent number: 10692486Abstract: A computer-implemented method, computer program product, and computer processing system are provided for generating inferences from a forest of predefined problem determination trees using a processor-based conversation platform. The method includes selecting a tree from among the forest of predefined problem determination trees, responsive to user utterances uttered during an inference generating session. The method further includes navigating the tree to allocate a relevant tree node to generate a problem diagnosis question or a problem resolution action by understanding the user utterances among common interaction patterns in problem diagnosis and problem resolution dialogs. The method also includes providing speech for uttering the problem diagnosis question or the problem resolution action to a user.Type: GrantFiled: July 26, 2018Date of Patent: June 23, 2020Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Qi Cheng Li, David Nahamoo, Shao Chun Li, Li Jun Mei, Ya Bin Dang, Jie Ma, Xin Zhou, Jian Wang, Hao Chen, Yi Peng Yu