Patents by Inventor Ching-Yung Lin

Ching-Yung Lin 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: 11120069
    Abstract: A query image is obtained. In a database including a plurality of reference image graphs, at least one of the reference image graphs, with feature vectors similar to the query image, is identified. Image querying is carried out by graph traversal on the at least one of the reference image graphs with the feature vectors similar to the query image. An image from the at least one of the reference image graphs having a highest matching score in the graph traversal is returned as a response to the query image. techniques for building the database are also disclosed.
    Type: Grant
    Filed: July 21, 2016
    Date of Patent: September 14, 2021
    Assignee: International Business Machines Corporation
    Inventors: Jui-Hsin Lai, Ching-Yung Lin, Lifeng Nai, Yinglong Xia
  • Patent number: 11093832
    Abstract: Method and apparatus for optimizing a convolutional neural network (CNN). A respective measure of importance is calculated for each of a plurality of elements within a CNN. A first one of the measures of importance is calculated by back propagating a second one of the measures of importance through the CNN. One or more of the plurality of elements is pruned from the CNN, based on the calculated measures of importance.
    Type: Grant
    Filed: October 19, 2017
    Date of Patent: August 17, 2021
    Assignee: International Business Machines Corporation
    Inventors: Chun-Fu Chen, Jui-Hsin Lai, Ching-Yung Lin, Guangnan Ye, Ruichi Yu
  • Patent number: 10956499
    Abstract: A data storage and retrieval system for a computer memory includes a stream graph engine extracting graph data from streaming data, the graph data occupying a sliding window and comprising a plurality of slices representing a set of contiguous graphs, and where each slice of the plurality of slices corresponds to a given graph structure and its properties at a particular time, the stream graph engine causing the computer memory to store an on-disk portion of the graph data including a key table, a timestamp table and a plurality of property files, wherein the key table comprises a plurality of pointers to corresponding entries of the timestamp table, wherein each of the entries of the timestamp table comprise a corresponding timestamp and a pointer to the properties files, wherein the properties files comprise properties of a corresponding graph of the set of contiguous graphs, an in-memory portion of the graph data having a cache data structure storing a subset of the key table, and a versioning control modu
    Type: Grant
    Filed: September 13, 2016
    Date of Patent: March 23, 2021
    Assignee: International Business Machines Corporation
    Inventors: Ching-Yung Lin, Yanbin Liu, Lifeng Nai, Wei Tan, Ilie G. Tanase, Yinglong Xia
  • Patent number: 10776710
    Abstract: Techniques for multimodal data fusion having a multimodal hierarchical dictionary learning framework that learns latent subspaces with hierarchical overlaps are provided. In one aspect, a method for multi-view data fusion with hierarchical multi-view dictionary learning is provided which includes the steps of: extracting multi-view features from input data; defining feature groups that group together the multi-view features that are related; defining a hierarchical structure of the feature groups; and learning a dictionary using the feature groups and the hierarchy of the feature groups. A system for multi-view data fusion with hierarchical multi-view dictionary learning is also provided.
    Type: Grant
    Filed: March 24, 2015
    Date of Patent: September 15, 2020
    Assignee: International Business Machines Corporation
    Inventors: Ching-Yung Lin, Zhen Wen, Yale Song
  • Patent number: 10733286
    Abstract: Detecting propensity profile for a person may comprise receiving artifacts associated with the person; detecting profile characteristics for the person based on the artifacts; receiving a plurality of predefined profiles comprising a plurality of characteristics and relationships between the characteristics over time, each of the plurality of predefined profiles specifying an indication of propensity; matching the profile characteristics for the person with one or more of the plurality of predefined profiles; and outputting one or more propensity indicators based on the matching, the propensity indicators comprising at least an expressed strength of a given propensity in the person at a given time.
    Type: Grant
    Filed: February 12, 2016
    Date of Patent: August 4, 2020
    Assignee: International Business Machines Corporation
    Inventors: Anni R. Coden, Keith C. Houck, Ching-Yung Lin, Wanyi Lin, Peter K. Malkin, Shimei Pan, Youngja Park, Justin D. Weisz
  • Patent number: 10701261
    Abstract: A method includes analyzing a preview image made by an image sensor when operating in a preview image mode to determine if the preview image contains some portion that corresponds to information that is considered not subject to being imaged. The method further includes, if it is determined that the preview image does comprise some image portion that corresponds to information that is considered not subject to being imaged, disabling the image sensor from capturing an image that would correspond to the preview image. Analyzing can include accessing a data storage that contains representations of information that is considered not subject to being imaged for comparison with image features extracted from the preview image, where the data storage is at least one of contained in a device that also contains the image sensor, or is located remotely from the device and can be accessed via a wireless connection.
    Type: Grant
    Filed: August 1, 2016
    Date of Patent: June 30, 2020
    Assignee: International Business Machines Corporation
    Inventors: Jui-Hsin Lai, Ching-Yung Lin, Wan-Yi Lin
  • Publication number: 20200201910
    Abstract: A system for providing a graph protocol for forming a decentralized and distributed graph database is disclosed. The system involves receiving, from a device, a bid request to generate a graph on a graph protocol network via the graph protocol. A plurality of masternodes in the system may transmit ask requests associated with providing storage and computation power to service the bid request. If the system determines that the requirements of the bid request match or correlate with the requirements of the ask request, the system may select any masternodes having matching or correlating ask requests to service the ask request. The system may then arrange the masternodes into a unique artificially-intelligent router of the graph protocol network. The system may then proceed to generate the graph on the graph protocol network by utilizing the masternodes of the router and may process any queries associated with the generated graph.
    Type: Application
    Filed: December 24, 2018
    Publication date: June 25, 2020
    Applicant: Graphen, Inc.
    Inventors: Matthieu L. Gavaudan, Peiqi Jin, Yang Yang, Ching-Yung Lin, Hal J. Cooper
  • Publication number: 20200110761
    Abstract: A system for providing an artificially-intelligent graph database is disclosed. The graph database has significant graph computing capabilities, which are facilitated through the integration of artificial intelligence into the graph database. The capabilities are enabled through the use of unique artificially-intelligent agents that are each responsible for a subgraph of a graph of the graph database. Each artificially-intelligent agent performs computations on the graph-structured data in each subgraph that each agent is responsible for managing. The artificially-intelligent agents may work cohesively together to provide artificial intelligence capabilities to the entire graph database. The graph database may optimize itself through intelligent local management by using the agents.
    Type: Application
    Filed: October 4, 2019
    Publication date: April 9, 2020
    Applicant: Graphen, Inc.
    Inventors: Hal J. Cooper, Ching-Yung Lin, Danny Lo-Tien Yeh, Matthieu L. Gavaudan
  • Patent number: 10552450
    Abstract: A novel distributed graph database is provided that is designed for efficient graph data storage and processing on modern computing architectures. In particular a single node graph database and a runtime & communication layer allows for composing a distributed graph database from multiple single node instances.
    Type: Grant
    Filed: August 5, 2016
    Date of Patent: February 4, 2020
    Assignee: International Business Machines Corporation
    Inventors: Chun-Fu Chen, Jason L. Crawford, Ching-Yung Lin, Jie Lu, Mark R. Nutter, Toyotaro Suzumura, Ilie G. Tanase, Danny L. Yeh
  • Publication number: 20190384774
    Abstract: A novel distributed graph database is provided that is designed for efficient graph data storage and processing on modern computing architectures. In particular a single node graph database and a runtime & communication layer allows for composing a distributed graph database from multiple single node instances.
    Type: Application
    Filed: August 27, 2019
    Publication date: December 19, 2019
    Inventors: Chun-Fu Chen, Jason L. Crawford, Ching-Yung Lin, Jie Lu, Mark R. Nutter, Toyotaro Suzumura, Ilie G. Tanase, Danny L. Yeh
  • Publication number: 20190294634
    Abstract: A novel distributed graph database is provided that is designed for efficient graph data storage and processing on modern computing architectures. In particular a single node graph database and a runtime & communication layer allows for composing a distributed graph database from multiple single node instances.
    Type: Application
    Filed: June 10, 2019
    Publication date: September 26, 2019
    Inventors: Chun-Fu Chen, Jason L. Crawford, Ching-Yung Lin, Jie Lu, Mark R. Nutter, Toyotaro Suzumura, Ilie G. Tanase, Danny L. Yeh
  • Publication number: 20190278807
    Abstract: A novel distributed graph database is provided that is designed for efficient graph data storage and processing on modern computing architectures. In particular a single node graph database and a runtime & communication layer allows for composing a distributed graph database from multiple single node instances.
    Type: Application
    Filed: May 24, 2019
    Publication date: September 12, 2019
    Inventors: Chun-Fu Chen, Jason L. Crawford, Ching-Yung Lin, Jie Lu, Mark R. Nutter, Toyotaro Suzumura, Ilie G. Tanase, Danny L. Yeh
  • Publication number: 20190266528
    Abstract: A system, method, and computer readable device that detects hidden correlation relationships among entities, such as companies and/or individuals is presented. A dataset that corresponds to a predefined set of correlation relationships of these companies and/or individuals may be collected. The dataset may be stored in a graph database and a machine learning system may be built using features computed from the graph database. At least a new pair of companies or a new pair of an individual and a company may be evaluated. The system, method, and/or computer readable device may determine whether a hidden correlation relationship exists between them.
    Type: Application
    Filed: February 25, 2019
    Publication date: August 29, 2019
    Applicant: Graphen, Inc.
    Inventors: Lishui Cheng, Ching-Yung Lin, Jie Lu, Danny Lo-Tien Yeh
  • Patent number: 10394891
    Abstract: A novel distributed graph database is provided that is designed for efficient graph data storage and processing on modern computing architectures. In particular a single node graph database and a runtime & communication layer allows for composing a distributed graph database from multiple single node instances.
    Type: Grant
    Filed: August 5, 2016
    Date of Patent: August 27, 2019
    Assignee: International Business Machines Corporation
    Inventors: Chun-Fu Chen, Jason L. Crawford, Ching-Yung Lin, Jie Lu, Mark R. Nutter, Toyotaro Suzumura, Ilie G. Tanase, Danny L. Yeh
  • Patent number: 10380188
    Abstract: A novel distributed graph database is provided that is designed for efficient graph data storage and processing on modern computing architectures. In particular a single node graph database and a runtime & communication layer allows for composing a distributed graph database from multiple single node instances.
    Type: Grant
    Filed: August 5, 2016
    Date of Patent: August 13, 2019
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Chun-Fu Chen, Jason L. Crawford, Ching-Yung Lin, Jie Lu, Mark R. Nutter, Toyotaro Suzumura, Ilie G. Tanase, Danny L. Yeh
  • Publication number: 20190205727
    Abstract: A system for providing a persona-driven and artificially-intelligent avatar is disclosed. The avatar may be utilized to represent an artificially-intelligent virtual assistant that may perform actions on behalf of a user, such as actions related to an investment strategy for the user. Notably, the avatar may influence artificial intelligence algorithms supporting the functionality of the virtual assistant via quantifiable traits of a persona of the avatar. In particular, the quantifiable traits of the persona of the avatar may be utilized to range bound the controlling parameters of the algorithms such that the virtual assistant represented by the avatar performs actions that conform to the ranged-bounded controlling parameters. Metrics corresponding to the performance of the virtual assistant may be tracked, and the system may modify parameters of the virtual assistant based on the metrics so as to adjust future actions performed by the virtual assistant for the user.
    Type: Application
    Filed: December 28, 2018
    Publication date: July 4, 2019
    Applicant: Graphen, Inc.
    Inventors: Ching-Yung Lin, Danny Lo-Tien Yeh, Yizhou Shen, Yihan Wang, Yuting An, Xinwei Li, Xiaodong Wang
  • Patent number: 10339397
    Abstract: To detect a distant object that may become an obstacle to a traveling destination of a moving vehicle or the like more accurately than the conventional, there is provided a detecting device, a program used in the detecting device, and a detecting method using the detecting device, where the detecting device includes: an acquisition section for acquiring two or more images captured in two or more imaging devices provided at different heights; and a detection section for detecting a rising portion of an identical object toward the imaging devices based on a difference between the lengths of the identical object in the height direction in the two or more images.
    Type: Grant
    Filed: September 29, 2017
    Date of Patent: July 2, 2019
    Assignee: International Business Machines Corporation
    Inventors: Ching-Yung Lin, Masayuki Murata, Shuichi Shimizu
  • Patent number: 10331962
    Abstract: To detect a distant object that may become an obstacle to a traveling destination of a moving vehicle or the like more accurately than the conventional, there is provided a detecting device, a program used in the detecting device, and a detecting method using the detecting device, where the detecting device includes: an acquisition section for acquiring two or more images captured in two or more imaging devices provided at different heights; and a detection section for detecting a rising portion of an identical object toward the imaging devices based on a difference between the lengths of the identical object in the height direction in the two or more images.
    Type: Grant
    Filed: September 29, 2017
    Date of Patent: June 25, 2019
    Assignee: International Business Machines Corporation
    Inventors: Ching-Yung Lin, Masayuki Murata, Shuichi Shimizu
  • Patent number: 10331961
    Abstract: To detect a distant object that may become an obstacle to a traveling destination of a moving vehicle or the like more accurately than the conventional, there is provided a detecting device, a program used in the detecting device, and a detecting method using the detecting device, where the detecting device includes: an acquisition section for acquiring two or more images captured in two or more imaging devices provided at different heights; and a detection section for detecting a rising portion of an identical object toward the imaging devices based on a difference between the lengths of the identical object in the height direction in the two or more images.
    Type: Grant
    Filed: September 29, 2017
    Date of Patent: June 25, 2019
    Assignee: International Business Machines Corporation
    Inventors: Ching-Yung Lin, Masayuki Murata, Shuichi Shimizu
  • Publication number: 20190122113
    Abstract: Method and apparatus for optimizing a convolutional neural network (CNN). A respective measure of importance is calculated for each of a plurality of elements within a CNN. A first one of the measures of importance is calculated by back propagating a second one of the measures of importance through the CNN. One or more of the plurality of elements is pruned from the CNN, based on the calculated measures of importance.
    Type: Application
    Filed: October 19, 2017
    Publication date: April 25, 2019
    Inventors: Chun-Fu CHEN, Jui-Hsin LAI, Ching-Yung LIN, Guangnan YE, Ruichi YU