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).

  • Patent number: 11640551
    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: Grant
    Filed: August 14, 2018
    Date of Patent: May 2, 2023
    Assignee: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.
    Inventors: Tian Wu, Wensong He, Lei Han, Xiao Zhou
  • Publication number: 20230117777
    Abstract: Disclosed herein is an improved process for the synthesis of compound (A): (A), or a salt or solvate thereof via methylation of compound (B): (B), or a salt or solvate thereof, a crystalline hydrate of compound A, and pharmaceutical formulations comprising a crystalline hydrate of compound (A).
    Type: Application
    Filed: March 30, 2021
    Publication date: April 20, 2023
    Applicant: AMGEN INC.
    Inventors: Michal ACHMATOWICZ, Sheng CUI, Tsang-Lin HWANG, Neil Fred LANGILLE, Janine K. TOM, James E. HUCKLE, Markian STEC, Tian WU, Sean P. BROWN
  • Publication number: 20230120253
    Abstract: A method and apparatus for generating a virtual character, an electronic device and a computer readable storage medium are provided. The method includes: performing mesh simplification on an initial model of a virtual character to obtain a mesh-simplified model; obtaining a first target model by performing white model mapping rendering on an area of each material type on the mesh-simplified model, and obtaining a second target model by performing hyper-realistic rendering on the area of each material type on the mesh-simplified model; and establishing a bidirectional mapping between the first target model and the second target model, and obtaining a target virtual character through iterative updating of the bidirectional mapping.
    Type: Application
    Filed: December 16, 2022
    Publication date: April 20, 2023
    Inventors: Jie Li, Haojie LIU, Yan ZHANG, Xuecen SHEN, Ruizhi CHEN, Chen ZHAO, Yuqiao TENG, Errui DING, Tian WU, Haifeng WANG
  • Publication number: 20230107440
    Abstract: The disclosure provides an access method, an access apparatus, an electronic device and a computer storage medium, and relates to a field of computer technologies, in particular to a field of artificial intelligence technologies such as chip and deep learning. The method includes: determining a computational graph for calling an access device based on operator representations in a target model; optimizing the computational graph based on information of the access device; and performing relevant running operations of the target model on the access device based on the computational graph and an interface for the access device to access to a model framework of the target model, the interface being determined based on kit data of the access device.
    Type: Application
    Filed: December 8, 2022
    Publication date: April 6, 2023
    Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.
    Inventors: Yanjun Ma, Haifeng Wang, Xiaoguang Hu, Dianhai Yu, Tian Wu, Qi Li
  • Publication number: 20230093666
    Abstract: Embodiments of the invention are directed to annotating a log based on processing log documentation. Aspects include obtaining the data set and obtaining a set of templates, wherein one or more template of the set of templates includes a variable labeled as the data type. Aspects also include annotating the data set based on the set of templates, wherein the annotating includes labeling each value of the variable in the data set with the data type. Aspects further include creating an updated data set by replacing each value of the variable in the data set that is labeled with the data type with a new data value.
    Type: Application
    Filed: September 23, 2021
    Publication date: March 23, 2023
    Inventors: Yuk Lung Chan, Tian Wu, Lei YU, Jia Qi Li, Hong Min, Fan Jing Meng
  • Publication number: 20230093225
    Abstract: Embodiments of the invention are directed to annotating a log based on processing log documentation. Aspects include obtaining the log having a plurality of entries. Aspects also include creating a set of log entry templates by processing the log documentation associated with the log, wherein each log entry template includes one or more constants and one or more variables. Aspects further include annotating each of the plurality of entries based on the set of templates, wherein the annotating includes labeling each value of the one or more variables with a variable name.
    Type: Application
    Filed: September 23, 2021
    Publication date: March 23, 2023
    Inventors: Yuk Lung Chan, Tian Wu, Lei Yu, Jia Qi Li, Hong Min, Fan Jing Meng
  • Patent number: 11604774
    Abstract: A method and apparatus of converting a schema in a deep learning framework, an electronic device, and a computer storage medium are provided. The method of converting the schema in the deep learning framework includes: updating a first schema, based on first syntax elements in the first schema and a context relationship between the first syntax elements in the first schema, so as to obtain an updated first schema; generating second syntax elements corresponding to updated first syntax elements in the updated first schema, based on a mapping relationship between the updated first syntax elements in the updated first schema and second syntax elements in a second schema system; and combining the second syntax elements according to a context relationship between the updated first syntax elements, so as to generate a second schema.
    Type: Grant
    Filed: September 21, 2021
    Date of Patent: March 14, 2023
    Assignee: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.
    Inventors: Liujie Zhang, Yamei Li, Huihuang Zheng, Hongyu Liu, Xiang Lan, Dianhai Yu, Yanjun Ma, Tian Wu, Haifeng Wang
  • Patent number: 11599404
    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: Grant
    Filed: December 3, 2020
    Date of Patent: March 7, 2023
    Assignee: International Business Machines Corporation
    Inventors: Yuk L. Chan, Tian Wu, Jia Qi Li, Zhi Shuai Han, Lei Yu, Hong Min, Fan Jing Meng, Abhishek Dokania
  • Patent number: 11513930
    Abstract: Techniques include collecting current logs from distributed sources, selecting a group of the current logs that are from a related source of the distributed sources, and generating a feature vector using the group of the current logs. A current status model is created for the feature vector using the group of the current logs. One or more anomalies are determined in the group of the current logs based on a difference between the current status model and a reference status model, the reference status model being based on history logs.
    Type: Grant
    Filed: December 3, 2020
    Date of Patent: November 29, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Yuk L. Chan, Lin Yang, Tian Wu, Jia Qi Li, Lei Yu, Hong Min, Fan Jing Meng
  • Patent number: 11474892
    Abstract: Techniques include generating a log sequence for new logs that have been received, searching a log sequence database for the log sequence having been generated, and determining that the log sequence is anomalous in response to not finding an identical log sequence in the log sequence database. In response to the log sequence not being found in the log sequence database, the log sequence is compared to a graph of historical log sequences to find a closest sequence path to one or more historical log sequences. An anomaly of the log sequence is diagnosed based on an occurrence at which the log sequence deviates from the closest sequence path of the one or more historical log sequences.
    Type: Grant
    Filed: December 3, 2020
    Date of Patent: October 18, 2022
    Assignee: International Business Machines Corporation
    Inventors: Yuk L. Chan, Jia Qi Li, Zhi Shuai Han, Tian Wu, Lei Yu, Hong Min, Fan Jing Meng
  • Patent number: 11412657
    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: Grant
    Filed: December 12, 2019
    Date of Patent: August 16, 2022
    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: 20220253372
    Abstract: An apparatus and a method for executing a customized production line using an artificial intelligence development platform, a computing device and a computer readable storage medium are provided. The apparatus includes: a production line executor configured to generate a native form of the artificial intelligence development platform based on a file set, the native form to be sent to a client accessing the artificial intelligence development platform so as to present a native interactive page of the artificial intelligence development platform; and a standardized platform interface configured to provide an interaction channel between the production line executor and the artificial intelligence development platform. The production line executor is further configured to generate an intermediate result by executing processing logic defined in the file set and to process the intermediate result by interacting with the artificial intelligence development platform via the standardized platform interface.
    Type: Application
    Filed: October 28, 2020
    Publication date: August 11, 2022
    Inventors: Yongkang XIE, Ruyue MA, Zhou XIN, Hao CAO, Kuan SHI, Yu ZHOU, Yashuai LI, En SHI, Zhiquan WU, Zihao PAN, Shupeng LI, Mingren HU, Tian WU
  • Patent number: 11403326
    Abstract: Aspects of the invention include determining whether a first log message written by an application during a first job is a message of interest based on a context of the first log message and a probability that the application writes the message for a same job as the first job. Calculating in response to determining that the first log message is a message of interest and by the processor, a correlation score based on intersecting tokens between the first log message and a second log message. Determining the first log message correlates to the second log message based on comparing the score to a threshold score. Modifying a system log of a mainframe to link the first log message to the second log message based on the correlation.
    Type: Grant
    Filed: December 3, 2020
    Date of Patent: August 2, 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: 20220222111
    Abstract: A scheduling method for a deep learning framework, a scheduling apparatus, an electronic device, a storage medium, and a program product is provided, and can be used in the field of artificial intelligence, especially in the fields of machine learning, deep learning, etc. The method includes: receiving a processing request for processing a plurality of tasks by using a dedicated processing unit, the processing request including scheduling requirements for the plurality of tasks, and each of the plurality of tasks being associated with execution of multi-batch data processing; and scheduling, based on the scheduling requirements for the plurality of tasks in batches of data, the dedicated processing unit to process the plurality of tasks.
    Type: Application
    Filed: March 29, 2022
    Publication date: July 14, 2022
    Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.
    Inventors: Haifeng Wang, Xiaoguang HU, Dianhai YU, Yanjun MA, Tian WU
  • Publication number: 20220215899
    Abstract: The present disclosure discloses an affinity prediction method and apparatus, a method and apparatus for training an affinity prediction model, a device and a medium, and relates to the field of artificial intelligence technologies, such as machine learning technologies, smart medical technologies, or the like. An implementation includes: collecting a plurality of training samples, each training sample including information of a training target, information of a training drug and a test data set corresponding to the training target; and training an affinity prediction model using the plurality of training samples. In addition, there is further disclosed the affinity prediction method. The technology in the present disclosure may effectively improve accuracy and a training effect of the trained affinity prediction model.
    Type: Application
    Filed: December 21, 2021
    Publication date: July 7, 2022
    Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.
    Inventors: Fan WANG, Jingzhou HE, Xiaomin FANG, Xiaonan ZHANG, Hua WU, Tian WU, Haifeng WANG
  • Publication number: 20220179881
    Abstract: Aspects of the invention include determining whether a first log message written by an application during a first job is a message of interest based on a context of the first log message and a probability that the application writes the message for a same job as the first job. Calculating in response to determining that the first log message is a message of interest and by the processor, a correlation score based on intersecting tokens between the first log message and a second log message. Determining the first log message correlates to the second log message based on comparing the score to a threshold score. Modifying a system log of a mainframe to link the first log message to the second log message based on the correlation.
    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: 20220180217
    Abstract: Aspects of the invention include computer systems, computer-implemented methods, and computer program products configured to integrate documentation knowledge with log mining data. A non-limiting example computer-implemented method includes determining a message-message relationship based on log message documentation and building a first subgraph based on the message-message relationship. The method further includes receiving a first message log entry having a message identifier and message field data. A second message log entry is correlated with the first message log entry based on at least one of the message identifier and the message field data. A second subgraph is built that includes the first message log entry and the second message log entry. The method includes building a graph that includes the first subgraph and the second subgraph.
    Type: Application
    Filed: December 3, 2020
    Publication date: June 9, 2022
    Inventors: Yuk L. Chan, Lei Yu, Jia Qi Li, Zhi Shuai Han, Tian Wu, Hong Min, FAN JING Meng
  • Publication number: 20220179763
    Abstract: Techniques include collecting current logs from distributed sources, selecting a group of the current logs that are from a related source of the distributed sources, and generating a feature vector using the group of the current logs. A current status model is created for the feature vector using the group of the current logs. One or more anomalies are determined in the group of the current logs based on a difference between the current status model and a reference status model, the reference status model being based on history logs.
    Type: Application
    Filed: December 3, 2020
    Publication date: June 9, 2022
    Inventors: Yuk L. Chan, Lin Yang, Tian Wu, Jia Qi Li, Lei Yu, Hong Min, Fan Jing Meng
  • Publication number: 20220179764
    Abstract: According to an aspect a computer-implemented method includes identifying a plurality of metrics and log identifiers that describe similar information as a plurality of documentation-based correlation data. One or more metric pair correlations are identified. One or more log frequency correlations are identified by temporal correlation. A plurality of correlated metric-log pairs is identified. A correlation database is populated with the documentation-based correlation data, the one or more metric pair correlations, the one or more log frequency correlations, and the correlated metric-log pairs to support anomaly detection in one or more monitored computer systems.
    Type: Application
    Filed: December 3, 2020
    Publication date: June 9, 2022
    Inventors: Yuk L. Chan, Tian Wu, Lei Yu, Jia Qi Li, Zhi Shuai Han, Hong Min, Fan Jing Meng, Abhishek Dokania
  • Publication number: 20220179730
    Abstract: Techniques include generating a log sequence for new logs that have been received, searching a log sequence database for the log sequence having been generated, and determining that the log sequence is anomalous in response to not finding an identical log sequence in the log sequence database. In response to the log sequence not being found in the log sequence database, the log sequence is compared to a graph of historical log sequences to find a closest sequence path to one or more historical log sequences. An anomaly of the log sequence is diagnosed based on an occurrence at which the log sequence deviates from the closest sequence path of the one or more historical log sequences.
    Type: Application
    Filed: December 3, 2020
    Publication date: June 9, 2022
    Inventors: Yuk L. Chan, Jia Qi Li, Zhi Shuai Han, Tian Wu, Lei Yu, Hong Min, FAN JING Meng