Patents by Inventor Tian Wu

Tian Wu 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).

  • Publication number: 20220179866
    Abstract: Aspects of the invention include computer systems, computer-implemented methods, and computer program products configured to perform message correlation extraction for mainframe operation. A non-limiting example computer-implemented method includes receiving a first message log entry having a message identifier and message field data. The first message log entry is pre-processed to determine the message identifier and to tokenize the message field data. A second message log entry is identified based on at least one of the message identifier and the tokenized message field data. The method further includes determining that the second message log entry is correlated with the first message log entry and providing an output comprising the message correlation between the first message log entry and the second message log entry.
    Type: Application
    Filed: December 3, 2020
    Publication date: June 9, 2022
    Inventors: Yuk L. Chan, Jia Qi Li, LIN Yang, Tian Wu, Lei Yu, Hong Min, FAN JING Meng
  • Publication number: 20220179729
    Abstract: According to an aspect, a method includes searching for a correlated log identifier in a correlation database based on detecting a metrics-based anomaly. The method also includes providing, in a problem diagnosis, related log information associated with the correlated log identifier based on locating one or more log entries including the correlated log identifier in a same time window as the metrics-based anomaly. The method further includes searching for a correlated metric in the correlation database based on detecting a log-based anomaly and providing, in the problem diagnosis, related metric information associated with the correlated metric based on locating one or more metrics records including the correlated metric in the same time window as the log-based anomaly.
    Type: Application
    Filed: December 3, 2020
    Publication date: June 9, 2022
    Inventors: Yuk L. Chan, Tian Wu, Jia Qi Li, Zhi Shuai Han, Lei Yu, Hong Min, Fan Jing Meng, Abhishek Dokania
  • Patent number: 11328133
    Abstract: The present disclosure provides a translation processing method, a translation processing device, and a device. The first speech signal of the first language is obtained, and the speech feature vector of the first speech signal is extracted based on the preset algorithm. Further, the speech feature vector is input into the pre-trained end-to-end translation model for conversion from the first language speech to the second language text for processing, and the text information of the second language corresponding to the first speech signal is obtained. Moreover, speech synthesis is performed on the text information of the second language, and the corresponding second speech signal is obtained and played.
    Type: Grant
    Filed: September 27, 2019
    Date of Patent: May 10, 2022
    Assignee: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.
    Inventors: Hao Xiong, Zhongjun He, Xiaoguang Hu, Hua Wu, Zhi Li, Zhou Xin, Tian Wu, Haifeng Wang
  • Publication number: 20220058490
    Abstract: A method and apparatus of constructing a network model for deep learning, a device, and a storage medium, which relate to artificial intelligence, and in particular to a field of deep learning. The method of constructing the network model for deep learning includes: determining an execution mode for executing codes, based on a mode parameter; executing the codes by using a first component, which is executable in a first execution mode, through a syntax element in the codes, in response to determining that the execution mode is the first execution mode; and executing the codes by using a second component, which is executable in a second execution mode, through the syntax element, in response to determining that the execution mode is the second execution mode; wherein the first component and the second component have the same component interface, and the syntax element corresponds to the component interface.
    Type: Application
    Filed: November 5, 2021
    Publication date: February 24, 2022
    Inventors: Haifeng WANG, Xiaoguang HU, Hongyu LIU, Dianhai YU, Yanjun MA, Tian WU
  • Patent number: 11243835
    Abstract: Aspects of the invention include constructing a knowledge graph by writing a plurality of data structures to connect correlated log messages in a system log. Detecting an anomalous log message based on the knowledge graph, wherein the anomalous log message is connected to a plurality of candidate root cause error log messages. Determining respective sequences from each of the plurality of candidate root cause error log messages to the anomalous log message. Calculating a deviation score for each respective sequence based on a deviation of an expected sequence for each candidate root cause error log message and the determined sequence. Determining a root cause log error message based on the calculated deviation scores.
    Type: Grant
    Filed: December 3, 2020
    Date of Patent: February 8, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Yuk L. Chan, Jia Qi Li, Lin Yang, Tian Wu, Lei Yu, Hong Min, Fan Jing Meng
  • Publication number: 20220004930
    Abstract: Embodiments of the present disclosure provide a method and apparatus of training a model, an electronic device, a storage medium and a development system, which relate to a field of deep learning. The method may include calling a training preparation component to set at least a loss function and an optimization function for training the model, in response to determining that a training preparation instruction is received. The method further includes calling a training component to set a first data reading component, in response to determining that a training instruction is received. The first data reading component is configured to load a training data set for training the model. In addition, the method may further include training the model based on the training data set from the first data reading component, by using the loss function and the optimization function through the training component.
    Type: Application
    Filed: September 21, 2021
    Publication date: January 6, 2022
    Inventors: Qingqing DANG, Kaipeng DENG, Lielin JIANG, Sheng GUO, Xiaoguang HU, Chunyu ZHANG, Yanjun MA, Tian WU, Haifeng WANG
  • Publication number: 20220004526
    Abstract: According to exemplary embodiments of the present disclosure, there is provided a method and apparatus of converting a schema in a deep learning framework, and a computer storage medium.
    Type: Application
    Filed: September 21, 2021
    Publication date: January 6, 2022
    Inventors: Liujie ZHANG, Yamei LI, Huihuang ZHENG, Hongyu LIU, Xiang LAN, Dianhai YU, Yanjun MA, Tian WU, Haifeng WANG
  • Patent number: 11190421
    Abstract: Embodiments of the present disclosure relate to a method for processing alerts. According to an embodiment of the present disclosure, a set of alerts matching a metric template are identified from received alerts during a period of time. A plurality of variable values are acquired from the set of alerts based on the metric template. The plurality of variable values are normalized according to a normalization rule of the metric template. A severity level for the set of alerts is determined based on the normalized variable values. In response to the severity level exceeding a certain threshold, an abstract alert including information related to the set of alerts is generated.
    Type: Grant
    Filed: March 1, 2021
    Date of Patent: November 30, 2021
    Assignee: International Business Machines Corporation
    Inventors: Pei Ni Liu, Zi Xiao Zhu, Tian Wu, Jia Qi Li, Fan Jing Meng, Ruo Yi Liu
  • Publication number: 20210357814
    Abstract: The present disclosure provides a method and apparatus for distributed training a model, an electronic device, and a computer readable storage medium. The method may include: performing, for each batch of training samples acquired by a distributed first trainer, model training through a distributed second trainer to obtain gradient information; updating a target parameter in a distributed built-in parameter server according to the gradient information; and performing, in response to determining that training for a preset number of training samples is completed, a parameter exchange between the distributed built-in parameter server and a distributed parameter server through the distributed first trainer to perform a parameter update on the initial model until training for the initial model is completed.
    Type: Application
    Filed: June 29, 2021
    Publication date: November 18, 2021
    Inventors: Xinxuan WU, Xuefeng YAO, Dianhai YU, Zhihua WU, Yanjun MA, Tian WU, Haifeng WANG
  • Publication number: 20210326762
    Abstract: The present disclosure discloses an apparatus and method for distributedly training a model, an electronic device, and a computer readable storage medium. The apparatus may include: a distributed reader, a distributed trainer and a distributed parameter server that are mutually independent. A reader in the distributed reader is configured to acquire a training sample, and load the acquired training sample to a corresponding trainer in the distributed trainer; the trainer in the distributed trainer is configured to perform model training based on the loaded training sample to obtain gradient information; and a parameter server in the distributed parameter server is configured to update a parameter of an initial model based on the gradient information of the distributed trainer to obtain a trained target model.
    Type: Application
    Filed: June 17, 2021
    Publication date: October 21, 2021
    Inventors: Zhihua Wu, Dianhai Yu, Xuefeng Yao, Wei Tang, Xinxuan Wu, Mo Cheng, Lin Ma, Yanjun Ma, Tian Wu, Haifeng Wang
  • Patent number: 11069942
    Abstract: The present invention relates to a secondary battery and a battery module. The secondary battery includes: a casing including a receiving cavity having an opening; a top cover assembly, and an electrode assembly disposed in the receiving cavity, wherein the electrode assembly includes two end faces disposed opposite to each other in a first direction perpendicular to a depth direction of the receiving cavity, a lug extending from each end face; the lug is a layered structure and has a redundant section near the end face and a connecting section connected to the redundant section; the current collecting member includes a current collecting portion fixedly connected to the connecting section. The lug of the secondary battery of the embodiment of the present invention has the redundant section, which can effectively buffer the movement and reduce the possibility that the lug is torn or broken due to an excessive tensile stress.
    Type: Grant
    Filed: June 3, 2019
    Date of Patent: July 20, 2021
    Assignee: CONTEMPORARY AMPEREX TECHNOLOGY CO., LIMITED
    Inventors: Dongyang Shi, Yuanbao Chen, Haizu Jin, Zhenhua Li, Ning Chen, Fei Hu, Tian Wu
  • Publication number: 20210201182
    Abstract: Embodiments of the present disclosure provide a method and apparatus for performing a structured extraction on a text, a device and a storage medium. The method may include: performing a text detection on an entity text image to obtain a position and content of a text line of the entity text image; extracting multivariate information of the text line based on the position and the content of the text line; performing a feature fusion on the multivariate information of the text line to obtain a multimodal fusion feature of the text line; performing category and relationship reasoning based on the multimodal fusion feature of the text line to obtain a category and a relationship probability matrix of the text line; and constructing structured information of the entity text image based on the category and the relationship probability matrix of the text line.
    Type: Application
    Filed: March 12, 2021
    Publication date: July 1, 2021
    Inventors: Yulin LI, Xiameng Qin, Chengquan Zhang, Junyu Han, Errui Ding, Tian Wu, Haifeng Wang
  • Publication number: 20210120736
    Abstract: Systems and methods are disclosed herein for detecting impurities of harvested plants in a receptacle of a harvester. In an embodiment, a harvester controller receives, from a camera facing the contents of the receptacle, an image of the contents. The harvester controller applies the image as input to a machine learning model. The harvester controller receives, as output from the machine learning model, an identification of an impurity of the harvested plants. The harvester controller transmits a control signal based on the impurity.
    Type: Application
    Filed: December 12, 2019
    Publication date: April 29, 2021
    Inventors: Dongyan Wang, Andrew Yan-Tak Ng, Yiwen Rong, Greg Frederick Diamos, Bo Tan, Beom Sik Kim, Timothy Viatcheslavovich Rosenflanz, Kai Yang, Tian Wu
  • Publication number: 20210120737
    Abstract: Systems and methods are disclosed herein for optimizing harvester yield. In an embodiment, a controller receives a pre-harvest image from a front-facing camera of a harvester. The controller inputs the pre-harvest image into a model, and receives as output from the model a predicted harvest yield. The controller receives, from an interior camera of the harvester, a post-harvest image including the plants as harvested. The controller inputs the post-harvest image into a second model and receives, as output, an actual harvest yield of the plants as-harvested. The controller determines that the predicted harvest yield does not match the actual harvest yield, and outputs a control signal.
    Type: Application
    Filed: December 12, 2019
    Publication date: April 29, 2021
    Inventors: Dongyan Wang, Andrew Yan-Tak Ng, Yiwen Rong, Greg Frederick Diamos, Bo Tan, Beom Sik Kim, Timothy Viatcheslavovich Rosenflanz, Kai Yang, Tian Wu
  • Patent number: 10899199
    Abstract: This disclosure provides a control method and control system for two or more air-conditioning water chilling units, and air conditioning system. The control method includes: receiving at least one standby request generated by at least one air-conditioner water chilling unit of the two or more air-conditioning water chilling units based on a standby condition; determining whether or not two or more standby requests are received; generating standby sequence numbers of the air-conditioning water chilling units that send the standby requests according to the standby requests in case where two or more standby requests are received; and closing the air-conditioning water chilling units that send the standby requests according to a preset rule based on the standby sequence numbers.
    Type: Grant
    Filed: October 16, 2017
    Date of Patent: January 26, 2021
    Assignee: GREE ELECTRIC APPLIANCES, INC. OF ZHUHAI
    Inventors: Junping Chen, Zhengqing Tang, Peisheng Chen, Tian Wu, Yali Sun, Guisheng Lu
  • Publication number: 20210004696
    Abstract: The present disclosure provides a system and a method for automatic secure delivery of a model, and belongs to the field of delivery technologies of artificial intelligence models. The system includes: a model warehouse, including at least one machine learning model; a prediction warehouse, including at least one prediction module matching metadata of the machine learning model in the model warehouse; and a processing engine, configured to have a function of assembling the machine learning model in the model warehouse and the prediction module in the prediction warehouse; in which the prediction module is configured to have an authentication function and an anti-debugging function, and the processing engine is configured to assemble the machine learning model in the model warehouse and the prediction module in the prediction warehouse which have a metadata matching relationship, and to generate a prediction service after the assembly is completed.
    Type: Application
    Filed: June 8, 2020
    Publication date: January 7, 2021
    Inventors: Haitao LIN, Jianxia LIU, Wenkang ZHANG, Baolong NIU, Hongguang ZHANG, Qingyun SONG, Youping YU, Tian WU
  • Publication number: 20200321591
    Abstract: The present invention relates to a secondary battery and a battery module. The secondary battery includes: a casing including a receiving cavity having an opening; a top cover assembly, and an electrode assembly disposed in the receiving cavity, wherein the electrode assembly includes two end faces disposed opposite to each other in a first direction perpendicular to a depth direction of the receiving cavity, a lug extending from each end face; the lug is a layered structure and has a redundant section near the end face and a connecting section connected to the redundant section; the current collecting member includes a current collecting portion fixedly connected to the connecting section. The lug of the secondary battery of the embodiment of the present invention has the redundant section, which can effectively buffer the movement and reduce the possibility that the lug is torn or broken due to an excessive tensile stress.
    Type: Application
    Filed: June 3, 2019
    Publication date: October 8, 2020
    Applicant: Contemporary Amperex Technology Co., Limited
    Inventors: Dongyang Shi, Yuanbao Chen, Haizu Jin, Zhenhua Li, Ning Chen, Fei Hu, Tian Wu
  • Publication number: 20200104372
    Abstract: The present disclosure provides a translation processing method, a translation processing device, and a device. The first speech signal of the first language is obtained, and the speech feature vector of the first speech signal is extracted based on the preset algorithm. Further, the speech feature vector is input into the pre-trained end-to-end translation model for conversion from the first language speech to the second language text for processing, and the text information of the second language corresponding to the first speech signal is obtained. Moreover, speech synthesis is performed on the text information of the second language, and the corresponding second speech signal is obtained and played.
    Type: Application
    Filed: September 27, 2019
    Publication date: April 2, 2020
    Inventors: HAO XIONG, Zhongjun He, Xiaoguang Hu, Hua Wu, Zhi Li, Zhou Xin, Tian Wu, Haifeng Wang
  • Publication number: 20190275865
    Abstract: This disclosure provides a control method and control system for two or more air-conditioning water chilling units, and air conditioning system. The control method includes: receiving generated by the air-conditioning water chilling units based on a standby condition; determining whether or not two or more standby requests are received; generating standby sequence numbers of the air-conditioning water chilling units according to the standby requests in case where two or more standby requests are received; and closing the air-conditioning water chilling units according to a preset rule based on the standby sequence numbers. When a plurality of air-conditioning water chilling units are used in combination, the control method, control system, and air conditioning system provided by this disclosure can avoid frequent start and stop of the air-conditioning water chilling units, increases the service time of the air-conditioning water chilling units and improves the overall equilibrium control effect.
    Type: Application
    Filed: October 16, 2017
    Publication date: September 12, 2019
    Applicant: GREE ELECTRIC APPLIANCES, INC. OF ZHUHAI
    Inventors: Junping CHEN, Zhengqing TANG, Peisheng CHEN, Tian WU, Yali SUN, Guisheng LU
  • Publication number: 20190087685
    Abstract: The present disclosure proposes a method and an apparatus for recommending sample data. The method may include: inputting a plurality of pieces of sample data to be classified into at least one preset classification model, and acquiring a classifying probability of classifying each piece of sample data into each classification model; acquiring a first distance between each piece of sample data and a classifying boundary of each classification model according to the classifying probability of classifying the piece of sample data into the classification model, in which the classifying boundary of the classification model is configured to distinguish positive and negative sample data; computing a target distance for each piece of sample data according to the first distance between each piece of sample data and the classifying boundary of each classification model.
    Type: Application
    Filed: August 14, 2018
    Publication date: March 21, 2019
    Inventors: Tian WU, Wensong HE, Lei HAN, Xiao ZHOU