Patents by Inventor Bei Chen
Bei Chen 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: 12203077Abstract: Provided are base editors containing a cytidine and a catalytically inactive version of Lachnospiraceae bacterium Cpf1 (LbCpf1). The new base editors have greatly improved editing efficiency and fidelity as compared to Cas9-based base editors, and have different editing windows.Type: GrantFiled: August 28, 2018Date of Patent: January 21, 2025Assignee: ShanghaiTech UniversityInventors: Jia Chen, Xingxu Huang, Li Yang, Bei Yang, Xiaosa Li, Ying Wang, Yajing Liu
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Patent number: 12197881Abstract: Various implementations of the present disclosure relate to text to visualization. In a method, information items are extracted from a natural language sentence. Visual elements associated with the information items are determined. A visual representation of the natural language sentence based on the visual elements is determined, the visual representation indicating information expressed by the natural language sentence.Type: GrantFiled: June 20, 2019Date of Patent: January 14, 2025Assignee: Microsoft Technology Licensing, LLCInventors: Weiwei Cui, He Huang, Haidong Zhang, Daniel Cheung, Bei Chen, Ishita Gupta, Yu Mao, Jian-Guang Lou, Dongmei Zhang
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Patent number: 12182698Abstract: Use a computerized trained graph neural network model to classify an input instance with a predicted label. With a computerized graph neural network interpretation module, compute a gradient-based saliency matrix based on the input instance and the predicted label, by taking a partial derivative of class prediction with respect to an adjacency matrix of the model. With a computerized user interface, obtain user input responsive to the gradient-based saliency matrix. Optionally, modify the trained graph neural network model based on the user input; and re-classify the input instance with a new predicted label based on the modified trained graph neural network model.Type: GrantFiled: September 30, 2020Date of Patent: December 31, 2024Assignees: International Business Machines Corporation, Massachusetts Institute of TechnologyInventors: Dakuo Wang, Sijia Liu, Abel Valente, Chuang Gan, Bei Chen, Dongyu Liu, Yi Sun
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Patent number: 12176107Abstract: Machine learning model change management in an online Software as a Medical Device (“SaMD”) is provided. One or more machine learning models implemented in a medical domain may be monitored where the one or more machine learning models are continuously updated. One or more changes to the one or more machine learning models. The one or more machine learning models, having the one or more changes, are certified as being in compliance with performance characteristics and compliance criteria.Type: GrantFiled: September 16, 2021Date of Patent: December 24, 2024Assignee: International Business Machines CorporationInventors: Rahul Nair, Oznur Alkan, Massimiliano Mattetti, Elizabeth Daly, Bei Chen
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Patent number: 12153879Abstract: Learning and correcting errors in text input fields to an artificial intelligence (AI) system includes receiving, by the AI system from a target system, an input text. The AI system executes a text processing operation on the input text by applying at least one transformer from a library of transformers to the input text to generate transformed text. At least one proposed correction to the input text is output by the AI system based on an analysis of the transformed text. Feedback data, associated with the at least one proposed correction, is then received from a user of the target system to iteratively learn, by the AI system, which of the transformers need be applied on future input text to accurately generate future proposed corrections on the future input text.Type: GrantFiled: April 19, 2022Date of Patent: November 26, 2024Assignee: International Business Machines CorporationInventors: Elizabeth Daly, Oznur Alkan, Anup Kalia, Jin Xiao, Bei Chen, Rahul Nair
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Patent number: 12136821Abstract: Various embodiments manage energy generation in a power generation and distribution system. In one embodiment, a set of residual load data is obtained for a given period of time measured at one or more nodes within a power generation and distribution system. The set of residual load data encodes a set of power flow signals. The set of residual load data is analyzed. An amount of power contributed to the set of residual load data by at least one energy generator class is determined based on the analysis of the set of residual load data.Type: GrantFiled: March 30, 2023Date of Patent: November 5, 2024Assignee: Utopus Insights, Inc.Inventors: Bei Chen, Jean-Baptiste Remi Fiot, Vincent Petrus Anthonius Lonij, Mathieu F. Sinn
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Publication number: 20240320950Abstract: Disclosed are an image output method and apparatus, and a computer-readable storage medium. The method includes: acquiring an image continuous change feature of a display interface of a local server; generating image output control information according to the image continuous change feature and a preset image change threshold; and controlling amount of output image data according to the image output control information and network congestion information.Type: ApplicationFiled: November 29, 2021Publication date: September 26, 2024Inventors: Bei CHEN, Tuo LI, Gang LIU
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Patent number: 12056584Abstract: An online machine learning model such as an autonomous agent predicts an action. A processor associated with, or running, the online machine learning model observes an environment for an interval of time for a real reward associated with the action. Responsive to determining that the real reward is not received within the interval of time, the processor determines based on a criterion whether to allocate an immediate reward received within the interval of time to the online machine learning model, where the immediate reward is an approximation of the real reward. Responsive to determining that the immediate reward is to be allocated, the processor allocates the immediate reward to the online machine learning model. The online machine learning model further learns or retrains itself based on the immediate reward.Type: GrantFiled: November 16, 2020Date of Patent: August 6, 2024Assignee: International Business Machines CorporationInventors: Oznur Alkan, Djallel Bouneffouf, Bei Chen, Elizabeth Daly
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Publication number: 20240144346Abstract: Embodiments of the invention are directed to a computer-implemented method. A non-limiting example of the computer-implemented method includes accessing, using an explanation generator module of a processor system, information of a recommendation associated with an application, information of the application, and information of a user of the application. The explanation generator module of the processor system is used to determine an explanation format of an explanation of the recommendation based at least in part on the information of the recommendation associated with the application, the information of the application, and the information of the user of the application.Type: ApplicationFiled: October 27, 2022Publication date: May 2, 2024Inventors: Oznur Alkan, Elizabeth Daly, Bei Chen, Massimiliano Mattetti, Rahul Nair
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Patent number: 11966340Abstract: To automate time series forecasting machine learning pipeline generation, a data allocation size of time series data may be determined based on one or more characteristics of a time series data set. The time series data may be allocated for use by candidate machine learning pipelines based on the data allocation size. Features for the time series data may be determined and cached by the candidate machine learning pipelines. Predictions of each of the candidate machine learning pipelines using at least the one or more features may be evaluated. A ranked list of machine learning pipelines may be automatically generated from the candidate machine learning pipelines for time series forecasting based upon evaluating predictions of each of the one or more candidate machine learning pipelines.Type: GrantFiled: March 15, 2022Date of Patent: April 23, 2024Assignee: International Business Machines CorporationInventors: Long Vu, Bei Chen, Xuan-Hong Dang, Peter Daniel Kirchner, Syed Yousaf Shah, Dhavalkumar C. Patel, Si Er Han, Ji Hui Yang, Jun Wang, Jing James Xu, Dakuo Wang, Gregory Bramble, Horst Cornelius Samulowitz, Saket K. Sathe, Wesley M. Gifford, Petros Zerfos
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Patent number: 11947926Abstract: In an approach for discourse-level text optimization, a processor receives an initial text in a first language. A processor applies one or more operators to modify the initial text. A processor evaluates the modified text using a scoring function. A processor determines whether a score generated from the scoring function on the modified text is above a predefined threshold. In response to determining the score is above the predefined threshold, a processor outputs the modified text.Type: GrantFiled: September 25, 2020Date of Patent: April 2, 2024Assignee: International Business Machines CorporationInventors: Akihiro Kishimoto, Beat Buesser, Bei Chen, Yufang Hou
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Patent number: 11938969Abstract: Embodiments for intelligent dynamic parking for autonomous vehicles by a processor. A dynamic parking plan may be determined for an autonomous vehicle to travel from a selected location and returning to the selected location within a selected time window according to a transportation network and one or more a variable parking functions in lieu of waiting at the selected location.Type: GrantFiled: November 23, 2018Date of Patent: March 26, 2024Assignee: International Business Machines CorporationInventors: Adi Botea, Beat Buesser, Bei Chen, Akihiro Kishimoto
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Patent number: 11936183Abstract: An energy Internet system, an energy routing conversion device, and an energy control method, relating to a field of energy information. An alternating-current (AC) side energy routing conversion device of the energy Internet system includes a plurality of first route ports, and a direct-current (DC) side energy routing conversion device includes a plurality of second route ports, where each second route port is connected to a corresponding first route port by means of a corresponding DC busbar. A plurality of energy devices are connected to a DC busbar by means of corresponding first AC/DC converters or first DC converters. The AC side energy routing conversion device and the DC side energy routing conversion device collect energy information of the energy devices and adjust energy of the energy devices on a basis of energy balance constraint conditions.Type: GrantFiled: December 13, 2018Date of Patent: March 19, 2024Assignee: GREE ELECTRIC APPLIANCES, INC. OF ZHUHAIInventors: Mingzhu Dong, Zhigang Zhao, Meng Huang, Xuefen Zhang, Shugong Nan, Shiyong Jiang, Meng Li, Wenqiang Tang, Peng Ren, Wu Wen, Lingjun Wang, Xiao Luo, Wenhao Wu, Jianjun Huang, Weijin Li, Yunhong Zeng, Bei Chen
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Patent number: 11802537Abstract: Embodiments for managing a wave energy converter (WEC) device by one or more processors are described. At least one environmental characteristic associated with a WEC device in a body of water is received. A prediction of wave conditions on the body of water is calculated based on the at least one environmental characteristic. A signal representative of the prediction of wave conditions is generated.Type: GrantFiled: August 13, 2018Date of Patent: October 31, 2023Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Fearghal O'Donncha, Bei Chen, Sean A. McKenna
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Patent number: 11803783Abstract: An embodiment for dynamically assigning vehicle parking is provided. The embodiment may include receiving one or more preferences regarding parking. The embodiment may also include in response to determining a detector vehicle detects a vacant parking spot, creating a network of vehicles within a pre-defined threshold of the vacant parking spot. The embodiment may further include notifying each vehicle in the network about the vacant parking spot and receiving one or more requests for the vacant parking spot from one or more requestor vehicles. The embodiment may also include identifying real-time information associated with roads within the pre-defined threshold of the vacant parking spot. The embodiment may further include assigning the vacant parking spot to a particular requestor vehicle in the network of vehicles. The embodiment may also include displaying an indicator placed adjacent to the particular requestor vehicle that is assigned the vacant parking spot.Type: GrantFiled: November 29, 2021Date of Patent: October 31, 2023Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Anton Dekusar, Bei Chen, Claudio Gambella, Martin Mevissen
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Publication number: 20230334241Abstract: Learning and correcting errors in text input fields to an artificial intelligence (AI) system includes receiving, by the AI system from a target system, an input text. The AI system executes a text processing operation on the input text by applying at least one transformer from a library of transformers to the input text to generate transformed text. At least one proposed correction to the input text is output by the AI system based on an analysis of the transformed text. Feedback data, associated with the at least one proposed correction, is then received from a user of the target system to iteratively learn, by the AI system, which of the transformers need be applied on future input text to accurately generate future proposed corrections on the future input text.Type: ApplicationFiled: April 19, 2022Publication date: October 19, 2023Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Elizabeth DALY, Oznur ALKAN, Anup KALIA, Jin XIAO, Bei CHEN, Rahul NAIR
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Patent number: 11735292Abstract: Embodiments for intelligent discovery of preferred chemical reaction pathways to a synthesized target compound by a processor. Target compound data of a target compound a user intends to synthesize may be received. A preference score for one or more chemical reaction pathways to the target compound may be calculated based on one or more chemical reactions. One or more preferred chemical reaction pathways to the targeted compound may be determined using a modified retrosynthetic analysis according to the preference score for one or more chemical reactions.Type: GrantFiled: August 7, 2018Date of Patent: August 22, 2023Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Akihiro Kishimoto, Adi I. Botea, Beat Buesser, Bei Chen, Takahiko Koyama
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Publication number: 20230253798Abstract: Various embodiments manage energy generation in a power generation and distribution system. In one embodiment, a set of residual load data is obtained for a given period of time measured at one or more nodes within a power generation and distribution system. The set of residual load data encodes a set of power flow signals. The set of residual load data is analyzed. An amount of power contributed to the set of residual load data by at least one energy generator class is determined based on the analysis of the set of residual load data.Type: ApplicationFiled: March 30, 2023Publication date: August 10, 2023Applicant: Utopus Insights, Inc.Inventors: Bei Chen, Jean-Baptiste Remi Fiot, Vincent Petrus Anthonius Lonij, Mathieu F. Sinn
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Patent number: 11688111Abstract: Systems, computer-implemented methods, and computer program products to facilitate visualization of a model selection process are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an interaction backend handler component that obtains one or more assessment metrics of a model pipeline candidate. The computer executable components can further comprise a visualization render component that renders a progress visualization of the model pipeline candidate based on the one or more assessment metrics.Type: GrantFiled: July 29, 2020Date of Patent: June 27, 2023Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Dakuo Wang, Bei Chen, Ji Hui Yang, Abel Valente, Arunima Chaudhary, Chuang Gan, John Dillon Eversman, Voranouth Supadulya, Daniel Karl I. Weidele, Jun Wang, Jing James Xu, Dhavalkumar C. Patel, Long Vu, Syed Yousaf Shah, Si Er Han
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Patent number: 11669757Abstract: Embodiments for detection of energy consumption anomalies in one or more energy consumption systems in a cloud computing environment by a processor. Energy consumption anomalies associated with a selected facility, a selected object, or a combination thereof may be detected and diagnosed according to feedback and simulation data generated from a scenario-based simulation operation.Type: GrantFiled: January 30, 2019Date of Patent: June 6, 2023Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Adi Botea, Beat Buesser, Akihiro Kishimoto, Bei Chen